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70-776 Performing Big Data Engineering with Microsoft Cloud Services

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70-776 exam Dumps Source : Performing Big Data Engineering with Microsoft Cloud Services

Test Code : 70-776
Test Name : Performing Big Data Engineering with Microsoft Cloud Services
Vendor Name : Microsoft
: 69 Real Questions

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Microsoft Performing Big Data Engineering

Video: performance and productiveness in the big information period | killexams.com Real Questions and Pass4sure dumps

in this video from the Intel person forum at SC18, Prabhat from NERSC presents: performance and productivity in the big records period.

on the national power analysis Scientific Computing core (NERSC), HPC and AI converge and strengthen with Intel technologies. discover how applied sciences, traits, and performance optimizations are applied to applications corresponding to CosmoFlow using TensorFlow* to assist us improved bear in mind the universe.

Prabhat leads the statistics and Analytics functions team at NERSC. in this function, he is responsible for deploying the big facts stack on NERSC platforms, spanning skill areas in data Analytics, administration, Workflows, Visualization, transfer and access. Prabhat is the Director of the huge facts center at NERSC, which is enabling ability statistics applications to run on the Cori supercomputer. Prabhat’s existing analysis interests span Deep getting to know, desktop studying and applied statistics. Prabhat obtained an ScM in desktop Science from Brown school (2001) and a B.Tech in computer Science and Engineering from IIT-Delhi (1999). he is at present pursuing a PhD within the Earth and Planetary Sciences department at U.C. Berkeley.

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Microsoft broadcasts ordinary availability of Azure statistics Explorer and Azure data Lake Storage Gen2 | killexams.com Real Questions and Pass4sure dumps

Microsoft nowadays announced the familiar availability of Azure information Explorer (ADX) and Azure facts Lake Storage Gen2 (ADLS Gen2) — two functions it says will come up with the money for Azure consumers better flexibility in managing unstructured data, or statistics generated from interactions on the web, software-as-a-service apps, social media, mobile apps, and information superhighway of issues devices. The business additionally launched a preview of Mapping facts flow in Azure information factory, a visual, no-code app that enables developers to build “records transformations.”

“We always attempt to make it very easy for IT personnel to adopt analytics and for line-of-company americans to make the most of and deliver effective insights using captivating items,” said John Chirapurath, everyday supervisor of Azure data, blockchain, and AI at Microsoft.

ADLS Gen2 offers a Hadoop allotted File equipment-appropriate repository for storing both structured and unstructured records, along with an Azure Blob File device driver that permits files and folders to be highly addressed on the server side.

in the meantime, ADX is goal-constructed for fast big facts analytics. Microsoft claims ADX can analyze 1 billion information of streaming records per 2nd whereas leaving the statistics and its metadata in its fashioned state — letting engineers derive insights without needing to preprocess that facts. (The enterprise pointed to a January analyze performed by means of GigaOm that found Azure SQL information Warehouse outperforms competing systems like Google BigQuery in TPC-H benchmark checks by way of up to 14 instances.)

These and other facets lately satisfied Newell manufacturers, BookBeat, and Heathrow Airport to circulation their workloads to Azure, Julie White, company vice president for Microsoft Azure, referred to in a weblog publish.

“This business-main price-performance extends to the relaxation of their analytics stack. This includes Azure records Lake Storage, their cloud information storage carrier, and Azure Databricks, their huge statistics processing service,” she talked about. “handiest Azure gives the most finished set of analytics features, from records ingestion to storage to statistics warehousing to computer researching and enterprise intelligence.”


Google the use of huge facts to Make Blockchains Searchable | killexams.com Real Questions and Pass4sure dumps

Search behemoth (and definitely not evil), Google, has a bit lagged behind different tech giants when it involves blockchain construction. while Amazon and Microsoft launched tools for managing and developing blockchains, Google turned into extra big information and search algorithms until now, as Google has combined both to make blockchains searchable.

search engines like google and yahoo For Blockchains

Senior developer suggest for Google Cloud, Allen Day, is watching for customer demand before products even exist. He thinks accessible blockchain is the next big component. So he began to feed the total Bitcoin and Ethereum blockchains in Google’s huge records platform, BigQuery.

The next stage was to create a collection of application tools to look the facts. The challenge, called Blockchain ETL (extract, radically change, load), has already confirmed to be a observe of mouth hit.

Google Co-Founder Says He’s Been Mining Ethereum With His Son

comply with The records

With zero publicity, notice spread amongst crypto-coders, and over 500 initiatives have been due to the fact created using the suite. functionality levels from bitcoin fee prediction to wealth disparity amongst Ether wallets.

Day continues to focus on who is using the blockchain and how. He has been tracking a concerted use of AI on the Ethereum blockchain. however he can’t be certain, he suspects they should be would becould very well be crypto-alternate bots performing wash-buying and selling. He says:

in the future, moving extra economic undertaking on chain received’t just require a consensus level of believe. it's going to require having some believe in realizing about who it is you’re truly interacting with.

capabilities Is vigour

prior to now, shopping the blockchain meant the use of a block-explorer, to retrieve statistics on a known individual transaction number. Blockchain ETL permits generalized searches of whole blockchains.

Following Bitcoin and Ethereum, Day’s team are adding Litecoin, Zcash, sprint, Bitcoin money, Ethereum traditional, and Dogecoin to BigQuery. And ultimate August, Dutch developer, Wietse Wind, introduced the total Ripple blockchain, prompting a Danish designer to map out the transaction circulation, right down to the particular person pockets.

photo courtesy of THOMAS SILKJAER/ NICK DESANTIS

Day has also used his equipment to investigate the difficult-fork of 2017, which created the Bitcoin money blockchain. He discovered that, in preference to increasing micro-transactions as hoped, nearly all of the foreign money was being hoarded with the aid of big holders. He explains:

I’m very involved to quantify what’s happening in order that they will see the place the legit use instances are for blockchain. Then they will move to the subsequent use case and strengthen out what these applied sciences are in reality appropriate for.

Google could be hoping that this suite of tools helps them to close the hole on Amazon and Microsoft in the blockchain space.

Will Googling blockchains turn into conventional? Share your strategies beneath!

pictures courtesy of Shutterstock


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Performing Big Data Engineering with Microsoft Cloud Services

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Two new Azure analytics GA releases, one preview and a big push on SQL DW | killexams.com real questions and Pass4sure dumps

Microsoft is making a slew of Azure data announcements today, on both the data lake and data warehouse fronts.

First, Microsoft's Azure Data Explorer (ADX) product is being released into general availability (GA). ADX, which I wrote about just last week, is a Big Data storage, query and visualization platform, with a special knack for time series analysis.

Also read: Fastly, Microsoft partner on real-time analytics with Azure Data Explorer

The (data lake) store is open for business

Next, Azure Data Lake Storage (ADLS) Gen2 hits GA today as well. Unlike the initial version of ADLS, the Gen2 release operates as a superset of Azure Blob Storage, but layers a true hierarchical file system on top of it, along with the ability to handle arbitrarily large files. Hierarchical file systems have first class support for folder structures. That's important in Big Data applications where data is often partitioned as groups of sequence files segregated by folder, necessitating folder-level operations that can treat all the files in a folder as a single unit of data.

Standard cloud object storage systems keep all files in a root-level container, and create the "illusion" of folders by embedding directory names into files' metadata. The availability of ADLS Gen2 will essentially give Microsoft a two-tiered storage solution to counter Amazon's S3. While Amazon's one-size-fits-all story has the advantage of simplicity, ADLS gives Microsoft a great Big Data solution, and one that is based on its object store technology, rather than being a completely separate product.

In this first release, ADLS Gen2 file systems will lack backward compatibility with Blob Storage APIs, but that will be added later. Plus, there's plenty of direct support for Gen2, out of the gate. For example, Apache Hadoop 3.2, released last month, offers direct support for ADLS Gen2. Various Big Data ecosystem vendors, including Cloudera, Dremio and Arcadia Data, have also committed to ADLS. And in the Microsoft world, numerous cloud data services, including Azure Databricks, HDInsight, Power BI and Azure Data Factory, support ADLS Gen2 directly, too.

Let's get visual

Speaking of Azure Data Factory (ADF), that service will now offer a visual data flow facility, in public preview. While ADF has for some time provided a visual designer for the orchestrations it manages, actual data engineering work had to be done in external scripts that ADF could run. Visual data flows will allow the data engineering work itself to be done in a visual designer, which will generate code behind the scenes.

Also read: Azure Data Factory v2: Hands-on overview

ADF visual data flows should not be confused with the dataflow feature in Power BI, the public preview for which was announced three months ago. Power BI dataflows are a cloud implementation of the company's Power Query technology, which also allows for visual data engineering work (under the moniker of "data prep") to be carried out and which also generates code (in a Microsoft-proprietary language called M) to do it. The name collision is unfortunate, but hopefully Microsoft will rectify it.

For what it's worth, Power BI data flows utilize ADLS Gen2 storage, behind the scenes.

Shipping from the warehouse

The last installment in Microsoft set of cloud data announcements today involves Azure SQL Data Warehouse (SQL DW) and, to a lesser extent, Power BI. In two rounds of benchmark tests carried out by GigaOm Research (see disclosure at end of this post), Azure DW was found to be 67 per cent faster than Amazon Redshift and up to 14x faster than Google BigQuery. Microsoft will begin a major push around this news and will tout its overall price/performance advantage over its public cloud provider data warehouse rivals, summing it up as outperforming the competition by up to 14x while being up to 94 per cent cheaper.

59b66bb1-a2ae-4cbe-a351-d0cc066b80fe1.png

Price/performance comparison of SQL DW, Redshift and BigQuery, based on Gigaom benchmarks.

Credit: Microsoft and Gigaom

Also read: Azure SQL Data Warehouse "Gen 2": Microsoft's shot across Amazon's bow

Microsoft will also be pitching the combination of the price/performance-efficient SQL DW service with Power BI and two features recently added to the latter: composite models and aggregations. Together, these two features allow Power BI users to store aggregated data locally in a Power BI model while leaving the more voluminous detail data in an external store. For a given data model, Power BI users used to have to choose between the local "import" and external "DirectQuery" modes, but now they can mix and match. This makes Power BI Big Data-capable when the features are enabled through use of an external store like SQL DW.

The younger generation

Microsoft has now launched "Gen2" iterations of Data Lake Storage and Data Warehouse and a "v2" iteration of Data Factory. And with Power BI being updated each and every month, that product is arguably at about Gen42 now.

Also read: Cortana Analytics: Microsoft's cloud analytics prix fixe

Microsoft is all-in on the cloud, the cloud is all-in on data, and the cloud is now mature. The result? In an effort to win the Enterprise, the major public cloud providers are revving their data services to achieve, then exceed, parity with the best on-premises offerings. That goes not just for basic database services, but data warehousing, BI, data engineering and Big Data analytics. Today marks the start of Microsoft's next big chapter in that epic tale.

Disclosure: I myself do data- and analytics-focused analyst work for Gigaom, but I was not involved in the SQL DW benchmark work.


Fastly Partners with Microsoft to Power Data Analytics at the Edge with Microsoft Azure Data Explorer | killexams.com real questions and Pass4sure dumps

SAN FRANCISCO, Jan 29, 2019 (GLOBE NEWSWIRE via COMTEX) -- Already supporting leading brands like Taboola, Fastly's superior edge cloud technology and Microsoft's powerful Azure platform create a scalable, near-real-time big data solution

SAN FRANCISCO, Jan. 29, 2019 (GLOBE NEWSWIRE) -- Fastly, the leading edge cloud platform, today announced a partnership with Microsoft Azure. The strategic partnership integrates Fastly's superior edge cloud platform with Microsoft's Azure services, including Azure Data Explorer, Azure Blob Storage, and Azure Event Grid, to create a powerful, near-real-time data analytics solution. Already being used by global businesses like Taboola, the partnership empowers companies to improve accuracy and speed of business decision-making, leveraging big data to optimize product performance and deliver exceptional end-user experiences.

Currently, 2.5 billion gigabytes of data are captured daily, and with the continued rollout of more internet-connected devices, this number is only growing. To maintain a competitive advantage in a digital-first world, businesses need tools to organize, analyze, and act on insights gleaned from this vast amount of data. To provide visibility into these large data sets, Microsoft launched Azure Data Explorer, big data interactive analytics service.

The partnership between Fastly and Microsoft Azure takes these capabilities a step further to enable businesses to collect data in real-time from the edge, and pair that with other insights from their analytics and business intelligence tools in a central, integrated platform. Top brands can now instantly identify trends and patterns at scale to make immediate, impactful business decisions informed by big data. Unlike traditional edge solutions, Fastly provides 100 percent of logs in real-time from the network edge, allowing businesses to monitor site performance and troubleshoot issues as they happen. In partnering with Microsoft, Fastly integrates its real-time data logging capabilities for automatic ingestion and analysis of application and engagement performance.

The integrated solution is already producing results for market-leading companies including Taboola, the largest platform for content recommendation, audience acquisition, and native advertising. Taboola generates 22 billion records of edge delivery data logs per day and needed a way to quickly, simply, and cost-effectively analyze its data for optimal service performance and content recommendations. Utilizing Fastly's edge cloud to stream content access logs in real-time directly into Azure Blob Storage and then ingest that data into Azure Data Explorer automatically, Taboola estimates significant savings of developer hours and hundreds of thousands of dollars, compared to its previous solution.

"Azure Data Explorer, together with Fastly's real-time logging, outperforms their previous solution with a faster update time and an intuitive interactive interface. Plus, it was so simple that they were up and running in a week, ingesting and analyzing 17 TB of data per day," remarked Ariel Pisetzky, VP Information Technology at Taboola. "Our team was even able to instantly identify a problematic latency issue impacting the speed at which content was being served to customers and rectify the issue in real-time. In a time where speed of reaction and innovation is paramount to user experience, this capacity is indispensable."

"With Azure Data Explorer, engineers can instantly identify trends, patterns, or anomalies from their ever-growing and changing data. Joining forces with Fastly, they can provide innovative organizations with a solution to deeply understand across their edge workloads," says Daniel Yu, Director of Product Marketing at Microsoft. "Microsoft and Fastly share the same principles of speed, scalability, and flexibility, so they believe the integration of their technologies will provide a unique solution for their customers."

"Fastly delivers more than a three million log events per second, empowering their customers to easily view their traffic, understand their site health, and make the changes they need as quickly as possible," explained Dana Wolf, SVP of Product and Marketing at Fastly. "To this end, they embrace and integrate with a multitude of central cloud platforms. This partnership and the integrations we're building with Microsoft are another investment in support of their customer-first philosophy, empowering businesses to get the most value out of their operations at the edge."

Fastly is trusted by brands like Airbnb, The New York Times, Pinterest, GitHub, and thousands more across e-commerce, travel, and hospitality, digital publishing, SaaS industries, and financial services.

To learn more about Fastly's edge cloud services, visit: fastly.com/products/edge-compute

To learn more about this solution and the benefits realized, visit Taboola's blog and Microsoft's blog.

About FastlyFastly helps the world's most popular digital businesses keep pace with their customer expectations by delivering fast, secure, and scalable online experiences. Businesses trust Fastly's edge cloud platform to accelerate the pace of technical innovation, mitigate evolving threats, and scale on demand. Founded in 2011, Fastly powers online destinations including Airbnb, GitHub, Alaska Airlines, Pinterest, Vimeo, The Guardian, and The New York Times. Learn more at Fastly.com and follow us on Twitter @fastly.

Media ContactMaggie PhilbinVSC for Fastlyfastly@vscconsulting.com203.394.1818

(C) Copyright 2019 GlobeNewswire, Inc. All rights reserved.


Wipro Brings Big Data To Microsoft Azure Cloud Platform | killexams.com real questions and Pass4sure dumps

cloud

Wipro has announced the availability of Data Discovery Platform, its big data analytics-as-a-service solution on Microsoft Azure. The solution accelerates insight-driven decision making through pre-built applications for specific industries, such as banking and financial services, retail, energy, education and manufacturing.

“The Data Discovery Platform will enable businesses to embark on an analytics journey with value added services of process simplification and business transformation to bridge the gap between the insights required by business and the information that is available,” the company said.

Wipro Data Discovery Platform is available in an outcome-based ‘pay-per-insight’ cloud delivery model. The platform leverages Microsoft’s Cortana Intelligence Suite which includes HDInsight, Stream Analytics, Data Lake Analytics, Machine Learning and Power BI to build analytical applications. Currently, fourteen Wipro Data Discovery Platform applications have been showcased on Microsoft Advanced Analytics Partner Solution Showcase.

Wipro and Microsoft have collaborated on various aspects of the solution, including engineering, solution enhancements, and joint go-to market strategy. “Together, Microsoft and Wipro have built an industry sector-specific apps ecosystem on the Data Discovery Platform.  Today, the platform is a significant enabler of Analytics led Digital Transformation delivering Analytics-as-a-Service to organizations. They believe that this is a reflection of the Wipro Data Discovery Platform’s maturity and Microsoft’s confidence in the prowess of this platform,” said Pallab Deb, Vice President & Global Head - Analytics, Wipro Limited.

“Wipro’s Data Discovery Platform is a leading example of leveraging the data and Artificial Intelligence (AI) capabilities of Microsoft Azure cloud to build novel domain-specific business applications across industry verticals.  By developing pre-built domain specific apps on the platform, Wipro is able to accelerate time-to-value while ensuring scalability and performance. Wipro is well-positioned to build effective systems of intelligence for clients with the power of Cortana Intelligence, Power BI and Azure,” said Joseph Sirosh, Corporate VP, Cloud AI Platform, Microsoft.

Wipro and Microsoft have been strategic partners for decades. Wipro has demonstrated its commitment to this relationship by investing in new industry-leading solutions for customers on the Azure platform.



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