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ARMONK, N.Y., July 21, 2014 /PRNewswire/ -- IBM (NYSE: IBM) nowadays introduced that Forrester analysis has identified IBM as a leader in huge facts Streaming Analytics, noting that IBM scored maximum on efficiency and scalability. Forrester additionally identified IBM's significant investments in analysis.
Gaining actual-time perception into statistics is still a excessive precedence for businesses as they strive to transform business. in reality, Forrester survey statistics printed a sixty six percent enhance in organisations' use of streaming analytics during the past two years, noting that the market is growing to be far past its roots in industrial operations and monetary capabilities.
The record, "The Forrester Wave™: large statistics Streaming Analytics systems, Q3 2014," evaluates seven commercial big information streaming analytics options carriers to verify the state of the large facts streaming analytics market. The document notes that large facts streaming analytics makes it possible for businesses to "visualize company in precise-time, notice urgent cases and automate immediate actions."
"shooting value within the enterprise second is emerging as an important priority for organizations throughout each business as they continue to seem to be for brand new methods to differentiate their most essential enterprise imperatives," noted Bob Picciano, senior vice chairman, suggestions and Analytics group, IBM. "The Forrester Wave report highlights their dedication to offering improvements that assist clients practice true-time, predictive analytics to streaming data on the way to right away respond to enterprise necessities, pace selections and be greater aggressive."
among the seven providers evaluated, "IBM scored maximum on efficiency and scalability." The report notes that "IBM InfoSphere circulation is industrial power" and "has comprehensive movement processing operators and construction tools that can satisfy the gnarliest of use-instances." It additionally credit IBM's "tremendous investments in analysis."
IBM's reputation as a leader within the huge records streaming analytics market is in accordance with the contrast of its InfoSphere Streams utility. Developed by IBM analysis, InfoSphere Streams hastily ingests and at all times analyzes massive volumes and varieties of streaming statistics from hundreds of sources to assist improve business perception and choice making and permit predictive and cognitive analytics. The expertise can system hundreds of thousands of messages per 2nd.
IBM's large facts and Analytics capabilities are helping to pressure transformation in areas reminiscent of power, monetary capabilities, healthcare and telecommunications, whereas C-suite executives together with CMOs, CFOs and CHROs across industries are now the use of IBM analytics to convey more suitable company effects.
as an instance, corporations such as CenterPoint power, Celcom Axiata, and Emory tuition hospital are using InfoSphere Streams to profit short insights into quickly statistics to radically change how they reply and react to right now changing market wants.
"The Forrester Wave™: massive facts Streaming Analytics platforms, Q3 2014" document can be discovered here.
IBM has established the area's deepest portfolio of big records and Analytics expertise that spans analysis and development, options and software. IBM has invested $24 billion to build its capabilities in huge information and Analytics via R&D and greater than 30 acquisitions. today, greater than 15,000 analytics consultants, 6,000 business solution business partners and 400 IBM mathematicians are helping valued clientele use big information to transform their agencies.
For extra counsel about IBM big statistics ad Analytics, visit http://ibm.co/bigdataanalytics and http://www.ibmbigdatahub.com/.
observe IBM massive records & Analytics on Twitter @IBMbigdata and @IBMAnalytics.
For greater insights on large information & Analytics visit IBM's Smarter Planet weblog.
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In 2006, the overseas Astronomical Union (IAU) determined Pluto was no longer a planet, but rather that it was a dwarf planet. Then in 2008, the equal community determined Pluto was a plutoid as a substitute of a dwarf planet. This 12 months, the IAU met August 3–14 in Brazil, and while on the time of this writing, that hasn't came about yet, Pluto's official title is anticipated to return up as soon as once again.
probably the most large complications with Pluto is that they simply would not have satisfactory counsel about it. other than some very far-off pictures and behavioral observations, much of their Plutonian assistance is mathematical guesswork. If they flip their focus to the contrary facet of the solar system, although, the predicament reverses. The volume of tips they are able to acquire concerning the sun is so excellent, or not it's tricky to trap it, a good deal much less do anything valuable with the information.
On January eight, 2008, solar Cycle 24 all started. although that could seem insignificant to most people, in about three years, it could be achieving its peak (figure 1). solar storms, or area weather, can have a extremely large effect on up to date society. These invisible outbursts can take out satellites, disrupt electrical grids and shut down radio communications. there is nothing they can do to prevent solar storms; despite the fact, early detection would make it possible to minimize the consequences. And, it is what researchers at Uppsala college in Sweden try to do.
determine 1. They are only beginning this solar cycle, which makes early detection principally important. (graphic credit: country wide Oceanic and Atmospheric Administration, www.noaa.org)
The problem is the volume of information being gathered with the aid of the digital radio receivers—to be precise, about 6GB of uncooked records per 2nd. There is not any technique to keep all the statistics to analyze later, so Uppsala teamed up with IBM and its InfoSphere Streams utility to analyze the statistics in precise time.
LJ associate Editor Mitch Frazier and that i had an opportunity to talk with both IBM and Uppsala, and they asked them for more tips on how any such feat is accomplished. They weren't shocked to listen to, “using Linux”. here's their mp;A session, with a few of my commentary sprinkled in.
Shawn & Mitch: What hardware does it run on?
IBM & Uppsala: InfoSphere Streams is designed to work on plenty of platforms, including IBM hardware. It runs clusters of as much as a hundred twenty five multicore x86 servers with purple Hat business Linux (RHEL). the continued IBM research project, called system S, is the basis for InfoSphere Streams and has run on many systems, together with Blue Gene supercomputers and equipment P.
S&M: Will it run on commodity hardware?
I&U: sure, x86 blades.
S&M: What operating system(s) does it run on?
I&U: InfoSphere Streams runs on RHEL four.4 for 32-bit x86 hardware and RHEL 5.2 for sixty four-bit x86 hardware.
S&M: Are these operating programs standard versions or custom?
I&U: they are general working systems.
S&M: What language(s) is it written in?
I&U: InfoSphere Streams is written in C and C++.
S&M: How does a programmer interact with it? by means of a normal programming language or some customized language?
I&U: purposes for InfoSphere Streams are written in a language known as SPADE (flow Processing software Declarative Engine). Developed by IBM analysis, SPADE is a programming language and a compilation infrastructure, specifically constructed for streaming programs. it is designed to facilitate the programming of massive streaming applications, as well as their effective and useful mapping to a wide selection of goal architectures, together with clusters, multicore architectures and special processors, such because the telephone processor. The SPADE programming language allows for move processing applications to be written with the foremost granularity of operators it truly is meaningful to the utility, and the SPADE compiler correctly fuses operators and generates a move processing graph to be run on the Streams Runtime.
[See Listing 1 for a sample of SPADE. Listing 1 is an excerpt from the “IBM Research Report—SPADE Language Specification” by Martin Hirzel, Henrique Andrade, Bugra Gedik, Vibhore Kumar, Giuliano Losa, Robert Soulé and Kun-Lung Wu, at the IBM Research Division, Thomas J. Watson Research Center.]
listing 1. illustration VWAP software in SPADE. VWAP, or “quantity-weighted usual fee”, is a common calculation in financial trading.composite VWAP param expression<set<string>> $monitoredTickers : "IBM", "GOOG", "MSFT" ; category TradeInfoT = decimal64 expense, decimal64 volume; QuoteInfoT = decimal64 bidprice, decimal64 askprice, decimal64 asksize; TradeQuoteT = TradeInfoT, QuoteInfoT, tuple<string ticker, string dayAndTime, string ttype>; TradeFilterT = TradeInfoT, tuple<timestamp ts, string ticker>; QuoteFilterT = QuoteInfoT, tuple<timestamp ts, string ticker>; VwapT = string ticker, decimal64 minprice, decimal64 maxprice, decimal64 avgprice, decimal64 vwap; graph movement<TradeQuoteT> TradeQuote = FileSource() param fileName : "TradesAndQuotes.csv.gz"; layout : csv, compressed, nodelays; columns : irange(1,3), 5, irange(7,9), [11, 15, 16]; movement<TradeFilterT> TradeFilter = Functor(TradeQuote) param filter : ttype == "change" && (ticker in $monitoredTickers); output TradeFilter : ts = timeStringToTimestamp(dayAndTime); flow<QuoteFilterT> QuoteFilter = Functor(TradeQuote) param filter : ttype == "Quote" && (ticker in $monitoredTickers); flow<VwapT, tuple<decimal64 sumvolume>> PreVwap = mixture(TradeFilter) window TradeFilter : sliding, count(four), count number(1); param groupBy : ticker; perGroup : real; output PreVwap : ticker = Any(ticker), vwap = Sum(fee*volume), minprice = Min(expense), maxprice = Max(expense), avgprice = Avg(price), sumvolume = Sum(volume); flow<VwapT> Vwap = Functor(PreVwap) output Vwap : vwap = vwap / sumvolume; circulate<timestamp ts, decimal64 index> BargainIndex = join(Vwap as V; QuoteFilter as Q) window V : sliding, count number(1); Q : sliding, count(0); param equalityLHS : V.ticker; // can even be written // as nested loop join: equalityRHS : Q.ticker; // "circumstance: V.ticker==Q.ticker" perGroupLHS : proper; output BargainIndex : index = vwap > askprice*one hundred.0 ? asksize*exp(vwap-askprice*a hundred.0) : 0.0; () = PerfSink(BargainIndex) pragma debugLevel: trace;
S&M: Is there a nontechnical user interface to it, or is all interfacing performed with the aid of a programmer?
I&U: at present, InfoSphere Streams does not have a nontechnical consumer interface for builders.
there is an IBM analysis task that is working on featuring a nontechnical consumer interface to enable business analysts to have programs generated and run according to tips they are seeking. The task is called Mashup Automation with Run-time Invocation and Orchestration (MARIO, domino.research.ibm.com/comm/research_projects.nsf/pages/semanticweb.Semantic%20Webpercent20Projects.html).
MARIO allows business users to automate composition by means of letting them specify counsel desires, that are expressed as excessive-level semantic descriptions of desired circulate output. MARIO uses existing suggestions definitions and obtainable counsel sources to generate possible purposes that generate preferred assistance dreams. The most useful utility is chosen, deployed to the runtime and then the requested tips consequences are exhibited to the person.
S&M: Is the statistics captured and analyzed or just analyzed?
I&U: The advantages of stream computing overcome the complications associated with typical analytics, which is slow, rigid (when it comes to the kinds of facts it will possibly analyze) and never greatest for shooting insights from time-sensitive movements, reminiscent of monitoring a deadly disease or fiscal buying and selling. With InfoSphere Streams, information will also be captured and analyzed or simply analyzed. suggestions will also be analyzed and the records stored in data or in databases, or sent to different programs for storage. Summarized statistics and models also can be saved and stored. as an example, an application analyzing hydrophone facts to examine marine mammal populations doesn't seize and save the countless hours of audio, best a mannequin of the outcomes. The model comprises number, frequency and period of visits by using the marine mammals.
S&M: Is it open source?
I&U: No, InfoSphere Streams isn't open-source code.
[Shawn notes: I'll admit, this was almost a deal-breaker for me. I was dragging out my soapbox as I contacted my IBM representative. It turns out, although InfoSphere Streams isn't open source, IBM does in fact contribute greatly to the Open Source community. I was gently reminded that IBM is a major kernel contributor, invests about $100 million annually in open-source development and “gives back” to the community it benefits from so greatly. I still would prefer InfoSphere Streams to be an open-source project; however, I suppose as long as IBM honors the GPL and is a good member of the Open Source community, I'll put my soapbox away.]
S&M: What cost does InfoSphere Streams carry to a company (in different words, why would somebody purchase this)?
I&U: as the world becomes more and more interconnected and instrumented, the quantity of data is skyrocketing—and it's no longer simply structured records found in databases, but unstructured, incompatible statistics captured from digital sensors, internet pages, email, audio and video. InfoSphere Streams makes it possible for massive amounts of information to be analyzed in real time, supplying extremely quick, accurate insights. These insights allow smarter business determination making and, subsequently, can aid agencies differentiate themselves and benefit competitive advantage.
[Shawn notes: Okay, I get it. I'm convinced InfoSphere Streams is more than a handful of Perl scripts. At this point, they were curious to hear more about the space project itself.]
S&M: what is the task name?
I&U: Swedish Institute of space Physics actual TIME high Frequency RADIO climate statistics AND FORECASTING. to put this task in context, it is part of the Scandinavian LOIS mission (www.lois-house.internet), which in flip is an offspring of the major European assignment, LOFAR (www.lofar.org).
S&M: What are the task's desires?
I&U: using InfoSphere Streams, Uppsala college is examining big volumes of true-time statistics to better understand house climate.
Scientists use high-frequency radio transmissions to look at area climate or the effect of plasma within the ionosphere that can have an effect on power transmission over vigor strains, communications by the use of radio and television indicators, airline and house go back and forth, and satellites. youngsters, the fresh creation of new sensor know-how and antennae arrays ability that the volume of suggestions accumulated with the aid of scientists surpassed the capability to analyze it intelligently.
The most advantageous purpose of the InfoSphere Streams project is to mannequin and predict the habits of the uppermost a part of their atmosphere and its response to hobbies in surrounding house and on the solar. This work could have lasting impact for future science experiments in space and on the planet. With a unique capacity to predict how plasma clouds commute in space, new efforts may also be made to cut hurt led to with the aid of power bursts or make changes to delicate satellites, vigour grids or communications methods.
S&M: Is it at present up and operating?
I&U: a new era of high-pace software defined triaxial digital radio sensors has been manufactured and is being tested to be deployed as part of this assignment. The InfoSphere Streams utility is at present being up-to-date for this new hardware and is expected to be deployed with the brand new sensors in September/October 2009. ahead of the buy of the brand new sensors, the venture become up and running.
S&M: What class of information is being analyzed?
I&U: large amounts of structured and unstructured statistics from community sensors and antennas are being analyzed as a part of this assignment. through the use of IBM InfoSphere Streams to research records from sensors that song high-frequency radio waves, infinite amounts of statistics can also be captured and analyzed on the fly. Over the subsequent year, this assignment is anticipated to operate analytics on at least 6GB per 2nd or 21.6TB per hour. The expertise addresses this difficulty by using inspecting and filtering the records the moment it streams in, helping researchers establish the vital fraction of a p.c it is significant, whereas the relaxation is filtered out as noise. the use of a visualization kit, scientists can perform queries on the records circulation to seem to be carefully at exciting pursuits, enabling them not only to forecast, but also to “nowcast” events just a couple of hours away. this will support predict, as an example, if a magnetic storm on the solar will attain the Earth in 18–24 hours.
S&M: What category of hardware is getting used to seize the records?
I&U: The undertaking uses tri-axial electric powered dipole antennas (generally referred to as tripole antennas) and triaxial magnetic-loop antennas (determine 2).
figure 2. one of the crucial examine stations that gathers records for the Uppsala institution assignment. This station is found in Växjö, Sweden. It includes tripole antennas and three-channel digital sensors along with a GPS antenna and receiver.
S&M: What category of hardware is used in the system?
I&U: in addition to the equipment used to gather weather information, networking machine to route the facts to the Streams runtime, the InfoSphere Streams software has been developed on a 4-core x86 (Xeon) equipment, however can also be ported to IBM JS20 Blade center (vigor pc) and to a Lenovo ThinkPad X200s desktop.
S&M: What utility, beyond InfoSphere Streams, is used?
I&U: RHEL and customized analytics written in C and C++ with some legacy FORTRAN code.
S&M: what is the consumer interface to the system?
I&U: InfoSphere Streams has a browser-based management console to manage the runtime. It allows for individuals to install jobs, see how jobs are dispensed across machines in the runtime cluster, see efficiency particulars and a lot of other services to control the runtime atmosphere. Output from the equipment can be streamed to numerous reveal and dashboarding applications to imagine the effects of the actual-time analytic processing (Figures 3 and four).
determine 3. Streamsight is the administrative view of the working InfoSphere circulate. It makes it possible for people to imagine on which machines in the Linux cluster the various tasks are running, efficiency levels and different guidance. each and every box represents a special class of analytic being run, and the lines represent records streaming between each and every assignment.
figure four. Visualizations of novel 3D radio patterns uncovered in simulation work at the Swedish Institute of space Physics in Uppsala.
S&M: How long did it take to boost the equipment?
I&U: The area climate application turned into developed over several months by way of a PhD candidate at Uppsala college. The greater LOIS assignment has been ongoing for eight years.
S&M: what number of builders/researchers were concerned?
I&U: The PhD student become supported by means of 4 scientists and one research engineer from the LOIS team and a couple of IBM researchers.
S&M: Is the house climate software open source?
[Shawn notes: Yes, they really did ask twice about how open these products are. They couldn't help ourselves.]
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Data and big data analytics are fast becoming the lifeblood of any successful business. Getting the technology right can be challenging, but building the right team with the right skills to undertake big data initiatives can be even harder.
Not surprisingly, that challenge is reflected in the rising demand for big data skills and certifications. According to research by IT research firm Foote Partners, both noncertified advanced data analytics skills and certified big data skills have gained value in recent years: with 74 advanced data analytics related skills and certifications rising in average value by 6 percent in 2015, followed by 116 advanced data analytics related skills and certifications increasing 4.8 percent overall in market value in 2016. Additionally, Foote Partners research found 123 related certified and noncertified big data skills seeing a 0.3 percent gain in value in the first quarter of 2017.
Organizations are on the hunt for data scientists and analysts with expertise in the techniques required to analyze big data. They also need big data systems architects to translate requirements into systems, data engineers to build data pipelines, developers who know their way around Hadoop clusters and other technologies, and systems administrators and managers to tie everything together.
[ Find out the hottest data and analytics trends today. | Get ahead with the top certs for big data, project management, agile, and the cloud. | Get weekly career tips by signing up for their CIO Leader newsletter. ]
These skills are in high demand and are relatively rare. Individuals with the right mix of experience and skills can demand high salaries. The right certifications can help.
"Advanced data analytics capabilities are just too critical for staying competitive," David Foote, co-founder, chief analyst and chief research officer of Foote Partners, said in a statement released with the research. "They've expanded in popularity from a few industries to nearly every industry and market. And there is the Internet of Things, the next critical focus for data and analytics services. IDC is predicting a 30 percent CAGR over the next five years, while McKinsey is expecting IoT to have a $4 trillion to $11 trillion global economic impact by 2025 as businesses look to IoT technologies to provide more insight."
While the market value of noncertified advanced analytics skills has actually increased faster as a percentage of base salary than the value of certified big data skills, according to Foote Research, Foote believes pay premiums for both noncertified and certified skills will steadily rise over the next 12 to 24 months.
If you're looking for a way to get an edge — whether you're job hunting, angling for a promotion or just want tangible, third-party proof of your skills — big data certification is a great option. Certifications measure your knowledge and skills against industry- and vendor-specific benchmarks to prove to employers that you have the right skillset. The number of big data certs is expanding rapidly.
Below is their guide to the most sought after big data certifications to help you decide which cert is right for you.
If you would like to submit a big data certification to this directory, please email us.Analytics: Optimizing Big Data Certificate
The Analytics: Optimizing Big Data Certificate is an undergraduate-level program intended for business, marketing and operations managers, data analyst and professionals, financial industry professionals, and small business owners. The program brings together statistics, analysis, and written and oral communications skills. It introduces students to the tools needed to analyze large datasets, covering topics including importing data into an analytics software package, exploratory graphical and data analysis, building analytics models, finding the best model to explore correlation among variables and more.
Organization: University of Delaware
Price: $2,895 course fee
How to prepare: A basic background in statistics and some prior college coursework is recommended.Certificate in Engineering Excellence Big Data Analytics and Optimization (CPEE)
Offered in Hyderabad and Bengaluru, India, the Certificate in Engineering Excellence Big Data Analytics and Optimization is an intensive 18-week program that consists of 10 courses (lectures and labs) for students of all aspects of analytics, including working with big data using Hadoop. It focuses on R and Hadoop skills, as well as statistical modeling, data analytics, machine learning, text mining and optimization. Students are evaluated on a real-world capstone project and a series of quizzes.
Organization: International School of Engineering (INSOFE)
Price: ₹3000 (INR) application fee and a program fee of ₹3,25,000 + 15 percent service tax.
How to prepare: INSOFE admits students based on performance on its entrance exam and prior academic background and work experience.Certification of Professional Achievement in Data Sciences
The Certification of Professional Achievement in Data Sciences is a non-degree program intended to develop facility with foundational data science skills. The program consists of four courses: Algorithms for Data Science (CS/IEOR), Probability & Statistics (STATS), Machine Learning for Data Science (CS), and Exploratory Data Analysis and Visualization (STATS).
Organization: Columbia University
Price: $1,858 per credit (a minimum of 12 credits, including the four courses, are required to complete the program). In addition, there is an $85 non-refundable application fee for the on-campus program and $150 for the online program. The online program also includes an additional non-refundable technology fee of $395 per course.
How to prepare: An undergraduate degree and prior quantitative and introductory to computer programming coursework are required.Certified Analytics Professional
The Certified Analytics Professional (CAP) credential is a general analytics certification that certifies end-to-end understanding of the analytics process, from framing business and analytic problems to acquiring data, methodology, model building, deployment and model lifecycle management. It requires completion of the CAP exam and adherence to the CAP Code of Ethics.
Price: $495 if you are an INFORMS member, or $695 if you're not. Team pricing is available for organizations.
How to prepare: A list of study courses and a series of webinars are available through registration.Cloudera Certified Associate (CCA) Data Analyst
A SQL developer who earns the CCA Data Analyst certification demonstrates core analyst skills to load, transform and model Hadoop data to define relationships and extract meaningful results from the raw output. It requires passing the CCA Data Analyst Exam (CCA159), a remote-proctored set of eight to 12 performance-based, hands-on tasks on a CDH 5 cluster. Candidates have 120 minutes to implement a technical solution for each task. They must analyze the problem and arrive at an optimal approach in the time allowed.
How to prepare: Cloudera recommends candidates take the Cloudera Data Analyst Training course, which has the same objectives as the exam.Cloudera Certified Associate (CCA) Spark and Hadoop Developer
The CCA Spark and Hadoop Developer credential certifies a professional has proven their core skills to ingest, transform and process data using Apache Spark and core Cloudera enterprise tools. It requires passing the remote-proctored CCA Spark and Hadoop Developer Exam (CCA175), which consists of eight to 12 performance-based, hands-on tasks on a Cloudera Enterprise cluster. Each question requires the candidate to solve a particular scenario. Some cases may require a tool such as Impala or Hive, others may require coding. Candidates have 120 minutes to complete the exam.
How to prepare: There are no prerequisites required, but Cloudera says the exam follows the same objectives as the Cloudera Developer Training for Spark and Hadoop course, making it excellent preparation for the exam.Cloudera Certified Professional (CCP): Data Engineer
The CCP: Data Engineer credential certifies the ability to perform core competencies required to ingest, transform, store and analyze data in Cloudera's CDH environment. It requires passing the remote-proctored CCP: Data Engineer Exam (DE575), a hands-on, practical exam in which each user is given five to eight customer problems each with a unique, large data set, a CDH cluster and four hours. For each problem, the candidate must implement a technical solution with a high degree of precision that meets all the requirements.
How to prepare: Cloudera suggests professionals seeking this certification have hands-on experience in the field and take the Cloudera Developer Training for Spark and Hadoop course.EMC Proven Professional Data Scientist Associate (EMCDSA)
The EMCDSA certification demonstrates an individual's ability to participate and contribute as a data science team member on big data projects. It includes deploying the data analytics lifecycle, reframing a business challenge as an analytics challenge, applying analytic techniques and tools to analyze big data and create statistical models, selecting the appropriate data visualizations and more.
Organization: Dell EMC Education Services
Price: $600 for video-ILT streaming; $5,000 for instructor-led
How to prepare: EMC offers a training course, available as either a video or an instructor-led course.IBM Certified Data Architect – Big Data
Designed for data architects, the IBM Certified Data Architect – Big Data certification requires passing a test that consists of five sections containing a total of 55 multiple-choice questions. It demonstrates a data architect can work closely with customers and solutions architects to translate customers' business requirements into a big data solution.
Organization: IBM Professional Certification Program
How to prepare: IBM recommends a series of seven multi-day courses on SPSS Modeler to InfoSphere BigInsights to prepare for the test.IBM Certified Data Engineer – Big Data
The IBM Certified Data Engineer – Big Data certification is intended for big data engineers, who work directly with data architects and hands-on developers to convert an architect's big data vision into reality. Data engineers understand how to apply technologies to solve big data problems and have the ability to build large-scale data processing systems for the enterprise. They develop, maintain, test and evaluate big data solutions within organizations, providing architects with input on needed hardware and software. This certification requires passing a test that consists of five sections containing a total of 53 multiple-choice questions.
Organization: IBM Professional Certification Program
How to prepare: IBM recommends a series of nine multi-day courses to prepare for the test.Mining Massive Data Sets Graduate Certificate
Designed for software engineers, statisticians, predictive modelers, market researchers, analytics professionals, and data miners, the Mining Massive Data Sets Graduate Certificate requires four courses and demonstrates mastery of efficient, powerful techniques and algorithms for extracting information from large datasets like the Web, social network graphs and large document repositories. The certificate usually takes one to two years to complete.
Organization: Stanford Center for Professional Development
Price: $18,000 tuition
How to prepare: A Bachelor's degree with an undergraduate GPA of 3.0 or better is required. Applicants should have knowledge of basic computer science principles and skills, at a level sufficient to write a reasonably non-trivial computer program.MongoDB Certified DBA Associate
The MongoDB Certified DBA Associate credential is intended to demonstrate that operations professionals understand the concepts and mechanics required to administrate MongoDB. It requires a 90 minute, multiple choice exam.
Organization: MongoDB University
How to prepare: There are no prerequisites, but MongoDB suggests candidates complete an in-person training or one of its online courses (M102: MongoDB for DBAs; M202: MongoDB Advanced Deployment Operations). MongoDB also provides the MongoDB Certification Exam Study Guide, available to those who have registered for a certification exam.MongoDB Certified Developer Associate
The MongoDB Certified Developer Associate credential is intended for software engineers who want to demonstrate a solid understanding of the fundamentals of designing and building applications using MongoDB. It requires a 90 minute, multiple choice exam.
Organization: MongoDB University
How to prepare: There are no prerequisites, but MongoDB suggests candidates complete an in-person training or one of its online courses (M101J: MongoDB for Java Developers; M101JS: MongoDB for Node.js Developers; M101N: MongoDB for .NET Developers; M101P: MongoDB for Developers). MongoDB also provides the MongoDB Certification Exam Study Guide, available to those who have registered for a certification exam.SAS Certified Big Data Professional
The SAS Certified Big Data Professional certification program is for individuals seeking to build on their basic programming knowledge by learning how to gather and analyze big data in SAS. The program focuses on SAS programming skills; accessing, transforming and manipulating data; improving data quality for reporting and analytics; fundamentals of statistics and analytics; working with Hadoop, Hive, Pig and SAS; and exploring and visualizing data. The program includes two certification exams, both of which the participants must pass.
Organization: SAS Academy for Data Science
Price: $9,000 for classroom (Cary, NC), $4,725 for blended learning (combination of 24/7 online access and instructor-led training)
How to prepare: At least six months of programming experience in SAS or another programming language is required to enroll.Related articles Join the newsletter!
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It is Monday, Day Three of nonstop briefings. Here is a candid stream-of-conscience of my experience at the keynote. . .
Big three screen flash video with very hard bass-driven sounds and lasers darting around. What is the point, other than to wake us up? Blue robots dancing (Phoenix Fire). Is this the IBM sales team? Star wars! I could lose my hearing after this! What is the message? I think that this is considered entertainment. Oh, now a rock band (LA All Stars), louder than the dance routine. Now regretting this VIP seat in front! FREEDOM! . . .from what? Martin Short, a seasoned IT professional - NOT! Hey, he knows how to spell IBM and IOD. Does IOD really mean Injured on Duty? He is funny. This intro flash was entertaining but so far, the first 22 minutes for 7,000 attendees is content free.
Ambuj Goyal, GM of Info Mgt Software, started with IOD is Information-Obsession-Dedication. Locking in the value of information. In the past, the answer to all business problems has been "you need a data warehouse". Ovum stated, "IBM has deliberately and doggedly constructed an unparalleled portfolio of software." It is about: consistent client success, accelerated value delivery, and industry-based value.
Steve Mills, Senior VP and group executive SWG, noted an interesting fact: If you printed out all the information in the world, it would weigh 6 tons for every person in the world, about an elephant for each person. What is the name of this decade of IT? It is a era of business optimization. It is all about Information Agenda (IA). Steve mused about whether, if financial institutions have had effective analytics, they might have avoided this financial crisis. They are moving from business automation (5% CGR) to business optimization (11%). Investing in diverse portfolio of software tools and systems. Things that were not economic are now quite economic. Your key technologies are: time series/cluster/pattern-mining, linear programming/scheduling, natural language test analysis, entity analytics, social analytics, and streaming analytics.
Martin Short interlude. . . He did the three amigos routine, for which three random IT folks were dragged onto the stage. Ouch!
John Iwata, SVP of Marketing/Communications, outline the perception of senior executives. 80% anticipate turbulent change, but 39% feel unprepared. The world is increasingly more instrumented, interconnected, and therefore intelligent. Really? By 2010 there will be one billion transistors per human, for no cost. In two years, there will be 30 billion RFID tags. Businesses in the world are operating in a dumb way. Message: IBM is enabling businesses throughout the world to operate smarter.
Panel of three IT executives: Shay Reid of AmerisourceBergen, Peter Keukert of Commerce Bank, Karmal Bherwani of NYC. Snapshots of innovative technology innovations in pharma, city government, and banking. Final comment from Peter about the global financial crisis was concise and challenging. They need to have the courage to ask the right questions, to have the right information, and to take the right action.
Martin Short back again. . . A hot BBQ of political candidates. At least, he dishes out bards evenly.
Ambuj circled back and summarized the key points of the three panelists. [Good style!] The HHS-Connect system is a single view of NYC services from a citizen perspective. They started with regulatory compliance, the investment was extended to citizen services. In a large global bank, technology can get into trouble if each project is evaluated and funded on the value of individual projects. You can not leverage the synergism. Not enable for reuse. Avoiding the rip-and-replace strategy.
Video from several IBM executives giving sketches of issues and solutions: Rob Ashe, Ron Ercanbrack, Jim Welch, Arvind Krishna. Technologies were viewed individually. But they are shifted to a holistic view. New announcements on InfoSphere tools, Dognos 8, InfoSphere streams, enterprise content Manager.
American Express receives the customer innovation award. enChoice receives the CTO Innovation Award. Sky Solution receives the Best of IOD Showcase.
Yet another Martin Short interlude. . . They are too marvelous for words! Finis
Afternote #1: RFID is working in masse. I wonder how data mining will be used by IBM on this data. There is an opt-out in the fine print of conference materials.
Afternote #2: A nice surprise was a 66-page pamphlet passed out as they exited: IOD For Dummies by Judith Hurwitz and colleagues at Hurwitz & Associates. It is a tangible take-away. It is too bad that its content was not emphasized in the keynote.
My take on this. . . Business-oriented message to a technical audience, delivered with low signal-to-noise ratio. I am bias having heard the message previously in the Gold sessions.
The basic problem is that this audience is mainly people who are piecemeal specialists in technology hearing a message calling for them to be holistic generalists in business. They may be sympathetic to the message but totally unable to embrace it. Unfortunately, the keynote may be perceived by them as two hours of entertainment delaying the start of the good technical stuff.
[Blog stream from IBM IOD/Gold October 2008 is here]Posted October 27, 2008 12:45 PMPermalink | No Comments |
A Google-developed supercomputer stunned South Korean Go grandmaster Lee Se-Dol by taking the first game of a five-match showdown between man and machine in Seoul on Wednesday.
After about 3-1/2 hours of play, Lee, one of the greatest players of the ancient board game in the modern era, resigned when it became clear the AlphaGo computer had taken an unassailable lead.
"I was shocked by the result," Lee acknowledged afterwards.
"AlphaGo made some moves that no human would ever make. It really surprised me," he said, adding that the computer had shut out the game "in a perfect manner."
Despite the shock loss, Lee said he had no regrets and was looking forward to the remaining four matches.
"I had some failures in the early stages today so if I improve on this, I think I still have some chance to win," he said.
Although the computer had whitewashed European champion Fan Hui 5-0 last October, it had been expected to struggle against 33-year-old Lee, who has topped the world rankings for most of the past decade.
But its creators had been bullish going into the match at the Four Seasons hotel in the South Korean capital, saying the computer, which employs algorithms that allow it to learn and improve from matchplay experience, was even stronger than when it took on Fan.
"We are very, very excited by this historic moment and very, very pleased with how AlphaGo performed," Demis Hassabis, the CEO of AlphaGo developer DeepMind, said after the victory.
"We think that Lee will come up with new strategies and... try some different things tomorrow. We'll have to see how AlphaGo will deal with it," Hassabis said.
The match-up sparked enough interest to warrant an Internet live-stream as well as live TV broadcasts in South Korea, China and Japan.
"I was shocked. Everyone was," said Kim Seong-Ryong, a Korean Go commentator and professional player.
"Something none of us thought would happen has just happened."
The five-day battle for supremacy between man and machine has been seen as a major test of what scientists and engineers have achieved in the sphere of Artificial Intelligence over the past 10 years or so.
The most famous A.I. victory to date came in 1997, when the IBM-developed supercomputer Deep Blue beat the then-world class chess champion Garry Kasparov.
But experts say Go presents an entirely different challenge as the complexity of the game and almost incalculable number of move options mean that the computer must be capable of human-like "intuition" to prevail.
"Go really is their Mount Everest," said Hassabis, adding that the public response to the clash with Lee had been "far bigger than they expected."
When Lee first accepted the A.I. challenge, he had confidently predicted a clear-cut win, saying that AlphaGo's performance against Fan had been nowhere near good enough to defeat him.
But the grandmaster had confessed to some pre-match nerves on Tuesday.
Technical Breakthrough Go involves two players alternately laying black and white stones on a checkerboard-like grid of 19 lines by 19 lines. The winner is the player who manages to seal off more territory.
The game reputedly has more possible board configurations than there are atoms in the Universe, and mastery by a computer was thought to be at least a decade away until the victory over Fan last year.
Creating "general" or multi-purpose, rather than "narrow," task-specific intelligence, is the ultimate goal in A.I. -- something resembling human reasoning based on a variety of inputs, and self-learning from experience In the case of Go, Google developers realized a more "human-like" approach would win over brute computing power.
AlphaGo uses two sets of "deep neural networks" containing millions of connections similar to neurons in the brain.
It is able to predict a winner from each move, thus reducing the search base to manageable levels -- something co-creator David Silver has described as "more akin to imagination."
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Riverbed [8 Certification Exam(s) ]
RSA [15 Certification Exam(s) ]
Sair [8 Certification Exam(s) ]
Salesforce [5 Certification Exam(s) ]
SANS [1 Certification Exam(s) ]
SAP [98 Certification Exam(s) ]
SASInstitute [15 Certification Exam(s) ]
SAT [1 Certification Exam(s) ]
SCO [10 Certification Exam(s) ]
SCP [6 Certification Exam(s) ]
SDI [3 Certification Exam(s) ]
See-Beyond [1 Certification Exam(s) ]
Siemens [1 Certification Exam(s) ]
Snia [7 Certification Exam(s) ]
SOA [15 Certification Exam(s) ]
Social-Work-Board [4 Certification Exam(s) ]
SpringSource [1 Certification Exam(s) ]
SUN [63 Certification Exam(s) ]
SUSE [1 Certification Exam(s) ]
Sybase [17 Certification Exam(s) ]
Symantec [135 Certification Exam(s) ]
Teacher-Certification [4 Certification Exam(s) ]
The-Open-Group [8 Certification Exam(s) ]
TIA [3 Certification Exam(s) ]
Tibco [18 Certification Exam(s) ]
Trainers [3 Certification Exam(s) ]
Trend [1 Certification Exam(s) ]
TruSecure [1 Certification Exam(s) ]
USMLE [1 Certification Exam(s) ]
VCE [6 Certification Exam(s) ]
Veeam [2 Certification Exam(s) ]
Veritas [33 Certification Exam(s) ]
Vmware [58 Certification Exam(s) ]
Wonderlic [2 Certification Exam(s) ]
Worldatwork [2 Certification Exam(s) ]
XML-Master [3 Certification Exam(s) ]
Zend [6 Certification Exam(s) ]
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