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simplest days after IBM introduced the acquisition of document trap supplier Datacap, massive Blue has snatched Unica (information, web page) -- a advertising management developer that automates, manages and speeds up core enterprise strategies across marketing channels.
The agreement, which became finalized on Friday, will see IBM (news, web site) pay US$ 480 million for Unica which might be incorporated into IBM’s methods and utility neighborhood along with its group of workers of 500.
extra above all, it should be integrated into the enterprise Analytics and Optimization Consulting company, on which IBM has spent close to US$ 11 billion of the past five years with the acquisition of businesses like InfoSphere and Cognos and extra these days, NISC and initiate.IBM, Analytics and Acquisitions
The NISC acquisition changed into at the beginning introduced in January and closed in June in a deal that bolstered IBMs dangle on the public sector market exceptionally in health, where it has been increasing its company Analytics and Optimization items.
business Analytics and Optimization is the these days developed method from IBM of applying advanced analytics to helping organizations predict the likely influence of moves so as to improve choice-making.
In may additionally, IBM upgraded its SPSS predictive analytics tool enabling clients to analyze text gathered from social media sources, including Twitter, facebook, blogs, wikis and RSS feeds.
The upgrade represents a substantial boost in the SPSS Modeler information mining and text analytics solution with advantage that stretch so far as detecting the context of the words used.IBM and Unica
These and different offers during the last few years have created a ambitious analytics company. besides the fact that children, it truly hasn’t had a product that could deliver predictive analytics for marketing campaigns and in this their enterprise analytics become surprisingly vulnerable in comparison to its other analytics components. With Unica, IBM says it's going to remedy this.
IBM is aware the calls for on today's organizations to transform core business processes in functions comparable to advertising and marketing with intelligence and automation . . . Unica turned into a transparent option for IBM in keeping with its energy to automate a extensive set of advertising and marketing capabilities . . .,” talked about Craig Hayman, popular supervisor at IBM business options in an announcement.What Unica Brings to IBM
IBM will also purchase 1500 new clients including top-rated buy, eBay, and US mobile who are at present using both Unica’s SaaS or on premise application.
And while financially 2009 wasn’t a particularly brilliant year for Unica, like many other utility corporations it seems to have grew to become the nook with its Q3 figures, which were released at the start of this month.
typical the figures display total revenues of US$ 30.7 million, an increase of 14% compared to Q3 in 2009. In specially, license revenue grew 69% for the quarter and is up 37% for the 12 months thus far. It has additionally continued to extend its subscription-based mostly choices, which grew over 70% annually.
Unica’s application will now be brought to IBM’s InfoSphere, Cognos, and SPSS information analytics software, and its Sterling Commerce, Coremetrics, and WebSphere e-commerce application. The deal is expected to close in the fourth quarter of this yr.
The IBM Watson AI gadget drew the area’s consideration by way of winning at "Jeopardy" in February 2011 in opposition t two of the game’s all-time champions, and IBM has strived to apply the Watson gadget to greater unique complications than a trivia quiz ever when you consider that. IBM has additionally extended Watson’s capabilities to developers, records scientists, and even average business clients. together with IBM’s SPSS predictive analytics application, Watson types the basis of IBM’s cloud choices in computing device learning and superior analytics.
IBM breaks the Watson gadget into five elements: computer gaining knowledge of, query evaluation, herbal language processing, function engineering, and ontology evaluation. From these parts, IBM has built out a collection of composable cloud capabilities from which you can make your own mini-Watson for a solution to your issue. (be aware that compiling the competencies base for the solutions is convenient: ninety five percent of "Jeopardy" questions may also be answered by using the titles of Wikipedia articles.)
meanwhile, IBM is taking part on applying Watson thoughts to fitness care, seismology, schooling, and genomics, at business ranges. whereas these efforts are very wonderful, peculiarly in the long term, for the purposes of this assessment I’ll be aware of Watson and other computing device getting to know (ML) expertise this is available for use in the IBM Cloud, which includes the Bluemix PaaS.
What different ML tech? In a far off nook of IBM’s some distance-flung empire, IBM SPSS presents both windows and cloud implementations of the SPSS Modeler kit, plus a Predictive Analytics service that may run its model predictions in actual time within the Bluemix PaaS and periodic batch jobs to replace the fashions. IBM SPSS Modeler is corresponding to Azure desktop learning and Databricks, while the IBM Watson functions are similar to Microsoft’s project Oxford and Cortana Analytics, in addition to to HPE’s Haven OnDemand.
Two of IBM’s most well-known analysis items, the Cognos enterprise Intelligence and the SPSS predictive analytics kit, are headed for the cloud, the latest in an ongoing push with the aid of IBM to port its vast software portfolio to the cloud.
gaining access to such a application from a hosted ambiance, in place of procuring the kit outright, gives a couple of benefits to valued clientele.
“We control the infrastructure, and this means that you can scale more simply and get began with less upfront funding,” stated Eric Sall, IBM vice president of global analytics marketing.
IBM announced these additions to its cloud functions, as well as a couple of new offerings, at its insight person conference for statistics analytics, held this week in Las Vegas.
with the aid of 2016, 25 percent of latest business analysis deployments could be achieved within the cloud, in keeping with Gartner.
Analytics might support agencies in many ways, according to IBM. It could deliver additional insight in the procuring habits of purchasers, in addition to perception into how neatly its own operations are performing. It could aid take care of methods from assaults and makes an attempt at fraud, in addition to guarantee that business departments are assembly compliance necessities.
the new online version of Cognos, IBM Cognos enterprise Intelligence on Cloud, can presently be verified in a preview mode. IBM plans to present Cognos as a full commercial service early subsequent year. clients can run Cognos in opposition t facts they keep in the IBM cloud, or against records they keep on premises.
A full commercial edition of the online IBM SPSS Modeler may be available within 30 days. This kit will encompass all the SPSS add-ons for information primarily based predictive modeling, reminiscent of a modeler server, analytics choice management application and a statistics server.
earlier this year, IBM pledged to present a lot of its software portfolio as cloud functions, many via its Bluemix set of platform functions.
moreover Cognos and SPSS, IBM additionally unveiled a couple of new and updated choices at the convention.
One new service, DataWorks, provides a number of suggestions for refining and cleansing data so it is equipped for analysis. The company has launched a cloud-based mostly records warehousing service, referred to as dashDB. a new Watson-primarily based provider, called Watson Explorer, offers a way for clients to ask herbal language questions about varied sets of internal information.To comment on this text and other PCWorld content material, talk over with their facebook web page or their Twitter feed.
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Last year, they ran an article outlining “Six Big Name Schools with Big Data Programs.” It was very popular, and why not? In an economic environment where jobs seem to constantly evaporate, data science holds the promise of abundant, great paying jobs for the foreseeable future.
Current IDC estimates say that the big data market is growing at 31.7 percent a year and will be $23.8 billion by 2016. Hadoop alone is at $77 million, says the research group, and at a compound annual growth rate of 60 percent, the firm predicts Hadoop to be $812.8 million by 2016. That’s a lot of jobs to be had for people with the right skills. Filling jobs will skilled candidates is constantly listed as one of the biggest challenges that companies have when implementing big data projects.
One of the most often questions that they get asked is how to get started. The list that we’re compiling here is not exhaustive, but it’s a great place to start for somebody looking for ideas on how to get on the right path towards a job in big data. Let’s begin!
As stated previously, they ran an article last year outlining some of the opportunities that are out there. In case you missed them, here are the six they put the spotlight on so you can check them out before you see the additions:
North Carolina State University – A coastal city with a bold big data view – NCSU has been aggressive in their vision with their Institute for Advanced Analytics. Recently, the National Security Agency announced that they would be establishing the Laboratory for Analytic Sciences adjacent to the Institute.
Stanford University – For students looking to advance into a big data career, Stanford offers a Data Mining and Applications Graduate Certificate, giving a broad-based foundation in an area where a lot of big data application exists. A background in probability and matrix algebra is required for entry.
Northwestern University – Northwestern offers an online Master of Science in Predictive analytics, blending concepts in data management, statistical analysis, as well as communication and leadership. On campus, they offer a Master of Science in Analytics.
Syracuse University – The Syracuse iSchool offers an online Certificate of Advanced Study in Data Science for graduates looking to solidify their big data credentials. Required courses include Data Administration Concepts and Database Management, as well as Applied Data Science.
UCSD – Through their certificate in data mining program, UCSD offers students an opportunity to learn problem solving, statistical thinking, and result interpretation, providing a great foundation in the world of big data.
Stevens Institute of Technology – This little known college focused on science and engineering offers a business intelligence and analytics program for graduates.
With the review in mind, let’s take a look at six more schools which are offering programs to help take the next steps into the age of analytics…
Part of their College of Computing and Digital Media, DePaul is one of the few schools that offers a Master of Science in Predictive Analytics. Students who enroll at DePaul University in Chicago can expect to develop skills in data mining, multivariate statistics, machine learning, and database processing.
The school offers several flavors of predictive analytics concentrations, including the following:
Ongoing research includes areas such as web mining and analytics, probabilistic learning, social computing, graphical modeling, medical imaging and visual computing. Students in this program will be exposed to industry sponsored data analytics projects. Among these projects, it was recently announced that Assistant Professor, Alexander Rasin received an award from IBM for the development of a graduate data mining course based on Apache Hadoop and Mahout.
The DePaul program for predictive analytics can be taken either on campus, or through an online program. In addition to several electives, students are given the option to take classes at DePaul’s Kellstadt School of Business for specific areas of interest.
If you’re ready to throw everything you have to become an analytics whiz, Louisiana State University has a program for you. The LSU Department of Information Systems and Decision Sciences has developed a 36 credit hour, 12 month program that starts in June, and drives their students full-time until they come out in May as a Master of Science in Analytics.
The program is said to focus on using advanced data management tools, including SAS, SQL, R, SPSS, Tableau, and a variety of other tools aimed at giving them the ability to fully utilize their analytics prowess for the purposes of increasing ROI, improving customer retention, reducing fraud, and improving decision making. The program focuses on all manner of analytics and statistical methods, including cluster analysis, data mining, predictive modeling, and more. Industry application areas include finance & insurance, healthcare, hotels & restaurants, distributors, retailers, manufacturers and consulting.
You can see an example of the LSU analytics curriculum here:
The program is competitive – potential students will have to run a gauntlet of pre-requisites, including GRE or GMAT test scores that fall in the top 25%. The next application deadline is March 31, 2014.
Located in Pittsburgh, Carnegie Mellon University’s Heinz College offers a Master of Information Systems Management degree with a Business Intelligence and Data Analytics concentration. The goal of the program, says the college, is to cross train their students in business process analysis as well as skills in predictive modeling, GIS mapping, analytical reporting, segmentation analysis, and data visualization.
Students will gain an abundance of hands on experience through the iLab facilities, an inter-disciplinary research center that blends faculty and students from the Heinz College, the Department of Statistics, Department of Machine Learning, the School of Computer Science, and the Tepper School of business.
Other notable hands on opportunities at Carnegie Mellon include labs such as the Living Analytics Research Center, a joint research initiative with the Singapore Management University aimed at researching behavioral and social network analytics.
The program includes three separate tracks:
Responding to the growing demand for working professionals with big data skills, Texas A&M announced this month that they are offering their newest graduate degree, a Master of Science in Analytics starting this fall. Housed by their Department of Statistics along with the Mays Business School, the program aims to help students understand how to bring meaning to data and communicate it effectively.
The Texas A&M program, designed for working professionals, is a five semester part-time, with classes taking place on Tuesday and Thursday evenings either in person on through their online extension courses. Students can expect to develop skills in statistical modeling and predictive analysis through hands on quantitative analysis projects specific to their employers, as well as data sets garnered through business partnerships.
One such partnership is with the PGA Tour as part of its ShotLink Intelligence program which measures every shot taken in tour events. The school has been given access to the data and will use it for example analysis.
A fledgling program that is expecting to house its first 20 students this fall, the school says that they have received a significant donation from North Carolina-based SAS, well known for their business analytics software.
Before graduating, students will be expected to complete a capstone project which will be a predictive modeling business question done on a large data set.
Another program finding its roots, the University of California, Berkeley’s School of Information announced last month that they will be launching a fully online Master of Information and Data Science degree program through their I School.
The program, which begins in January 2014, will be a 27-unit program aimed at working professionals, and will require a one-week immersion at the I School’s South Hall. Like the Texas A&M program, the program will culminate in a capstone project aimed at the student demonstrating their mastery of the concepts and skills that are the focus of the school.
These skills include everything from machine learning, data storage and retrieval, experimentation, privacy, security, and even ethics.
With classes completely on the web, the program is expecting to limit the student to faculty ration to 15:1, with coursework including lectures, interactive case studies and collaborative assignments. The online nature of the program will be facilitated through 2U Inc.’s online learning management platform.
The W. P. Carey School of Business at Arizona State University (ASU) offers a Master of Science in in Business Analytics for those looking to further their big data credentials.
The program is a full-time, nine month engagement aimed at drilling in the concepts of data-driven analysis, strategic decision-making and business process optimization. Courses include everything from enterprise and applied analytics, data mining, applied regression models, analytical decision making tools, data-driven quality management, and more.
Student can expect to master such concepts as the use of quantitative modeling tools and technique for solving modern supply chain problems, road mapping data-driven decision making, leveraging statistical tool suites to report every flavor of modeling, mining data to extract predictive analytics, business analytics strategy, and more.
All of the programs listed in the pages previous are graduate programs – but what about advice for someone just getting started? Fear not friends, there are great places where you can get a leg up on your path to becoming a data scientist. Here is a short list of schools which offer Bachelor of Arts and Science majors specific to data science and analytics.
College of Charleston – Located in Charleston, SC, undergraduates can work towards a B.S. in Data Science at the College of Charleston.
George Mason University – A student who relocates to Fairfax, VA can pursue a B.S. degree in Computational & Data Sciences, combining applied mathematics, computer science skills, data acquisition and analysis, and scientific modeling.
Illinois Institute of Technology – At the Illinois Institute of Technology, located in Chicago, IL, students can pursue a B.S. in Computer Science with a specialization in Data Science through a joint program called Data Science @ IIT offered by both the Department of Applied Mathematics and the Department of Computer Science.
Northern Kentucky University – Head to Newport, KY, where an undergraduate can get a B.S. degree in Data Science, with course plans that specialize in business analytics or a computation intensive track.
University of Iowa – Head to Des Moines, IA, where an undergraduate student can earn a B.A. in Business Analytics and Information Systems, aimed at solving critical business problems through the use of advanced computation and mathematical techniques.
University of Washington – Predictive analytics in the Pacific Northwest! Undergraduates can get a Certificate in Data Science studying in Seattle, learning everything from statistical and machine learning techniques as well as hands on with Hadoop and MapReduce.
This, of course, is not the “one list to rule them all” in data science schooling, but it does give a good overview on programs that are available on every corner of the United States. We’re happy to hear of other programs that might be out there. Send us your tips at editor [at] Datanami period com.
Six Big Name Schools with Big Data Programs
IBM Narrows Big Data Skills Gap By Partnering With More Than 1,000 Global Universities
Big Data Jobs in Hyper-Growth
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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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