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70-776 Performing expansive Data Engineering with Microsoft Cloud Services

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Test Code : 70-776
Test cognomen : Performing expansive Data Engineering with Microsoft Cloud Services
Vendor cognomen : Microsoft
: 69 real Questions

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Microsoft Performing expansive Data Engineering

Video: performance and productiveness in the expansive information term | 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 expansive records period.

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

Prabhat leads the statistics and Analytics functions team at NERSC. in this function, he is accountable for deploying the expansive 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 hub at NERSC, which is enabling competence statistics applications to rush on the Cori supercomputer. Prabhat’s existing analysis interests span profound 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 confidential availability of Azure information Explorer (ADX) and Azure facts Lake Storage Gen2 (ADLS Gen2) — two functions it says will approach 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, gregarious media, mobile apps, and information superhighway of issues devices. The industry additionally launched a preview of Mapping facts stream in Azure information factory, a visual, no-code app that enables developers to build “records transformations.”

“We always attempt to obtain it very easy for IT personnel to adopt analytics and for line-of-company americans to obtain the most of and deliver effectual 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 expeditiously expansive facts analytics. Microsoft claims ADX can anatomize 1 billion information of streaming records per 2nd whereas leaving the statistics and its metadata in its fashioned situation — letting engineers derive insights without needing to preprocess that facts. (The enterprise pointed to a January anatomize performed by means of GigaOm that found Azure SQL information Warehouse outperforms competing systems fancy Google BigQuery in TPC-H benchmark checks by route 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 expend of huge facts to obtain 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 expansive information and search algorithms until now, as Google has combined both to obtain blockchains searchable.

search engines fancy google and yahoo For Blockchains

Senior developer imply for Google Cloud, Allen Day, is watching for customer claim before products even exist. He thinks accessible blockchain is the next expansive 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 view the facts. The challenge, called Blockchain ETL (extract, radically change, load), has already confirmed to be a solemnize 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 accommodate 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 expend 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, stirring extra economic undertaking on chain received’t just require a consensus flush 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 expend of a block-explorer, to retrieve statistics on a known individual transaction number. Blockchain ETL permits generalized searches of total 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 besides used his tackle 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 obscene of the quaint money was being hoarded with the aid of expansive holders. He explains:

I’m very involved to quantify what’s happening in order that they will remark the location the legit expend instances are for blockchain. Then they will gallop to the subsequent expend case and strengthen out what these applied sciences are in reality preempt for.

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

Will Googling blockchains circle into conventional? partake your strategies beneath!

pictures courtesy of Shutterstock


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Performing expansive Data Engineering with Microsoft Cloud Services

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Two novel Azure analytics GA releases, one preview and a expansive thrust 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 generic availability (GA). ADX, which I wrote about just ultimate week, is a expansive Data storage, query and visualization platform, with a special knack for time string 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 right hierarchical file system on top of it, along with the competence to ply arbitrarily big files. Hierarchical file systems accommodate first class champion for folder structures. That's critical in expansive Data applications where data is often partitioned as groups of sequence files segregated by folder, necessitating folder-level operations that can treat obscene the files in a folder as a unique unit of data.

Standard cloud remonstrate storage systems preserve obscene 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 epic has the odds of simplicity, ADLS gives Microsoft a worthy expansive Data solution, and one that is based on its remonstrate store technology, rather than being a completely sunder product.

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

Let's pick up visual

Speaking of Azure Data Factory (ADF), that service will now tender a visual data stream 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 besides allows for visual data engineering work (under the moniker of "data prep") to be carried out and which besides generates code (in a Microsoft-proprietary language called M) to sequel it. The cognomen jar 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 ultimate 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 discontinuance 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 commence a major thrust around this advice and will tout its overall price/performance odds 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 besides 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 accommodate to choose between the local "import" and external "DirectQuery" modes, but now they can blend and match. This makes Power BI expansive Data-capable when the features are enabled through expend of an external store fancy 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 trouble 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 expansive Data analytics. Today marks the start of Microsoft's next expansive chapter in that epic tale.

Disclosure: I myself sequel 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 fancy Taboola, Fastly's superior edge cloud technology and Microsoft's powerful Azure platform create a scalable, near-real-time expansive 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 fancy Taboola, the partnership empowers companies to help accuracy and quicken of industry decision-making, leveraging expansive 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 odds in a digital-first world, businesses requisite tools to organize, analyze, and act on insights gleaned from this vast amount of data. To provide visibility into these big data sets, Microsoft launched Azure Data Explorer, expansive 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 industry intelligence tools in a central, integrated platform. Top brands can now instantly identify trends and patterns at scale to obtain immediate, impactful industry decisions informed by expansive 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 endemic advertising. Taboola generates 22 billion records of edge delivery data logs per day and needed a route to quickly, simply, and cost-effectively anatomize 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 quicken at which content was being served to customers and rectify the issue in real-time. In a time where quicken 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 partake the selfsame 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 obtain the changes they requisite as quickly as possible," explained Dana Wolf, SVP of Product and Marketing at Fastly. "To this end, they embrace and integrate with a legion of central cloud platforms. This partnership and the integrations we're building with Microsoft are another investment in champion of their customer-first philosophy, empowering businesses to pick up the most value out of their operations at the edge."

Fastly is trusted by brands fancy Airbnb, The novel York Times, Pinterest, GitHub, and thousands more across e-commerce, travel, and hospitality, digital publishing, SaaS industries, and fiscal 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 preserve pace with their customer expectations by delivering fast, secure, and scalable online experiences. Businesses dependence 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 novel York Times. Learn more at Fastly.com and ensue us on Twitter @fastly.

Media ContactMaggie PhilbinVSC for Fastlyfastly@vscconsulting.com203.394.1818

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


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

cloud

Wipro has announced the availability of Data Discovery Platform, its expansive 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 fiscal 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 industry transformation to bridge the gap between the insights required by industry 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 accommodate been showcased on Microsoft Advanced Analytics partner Solution Showcase.

Wipro and Microsoft accommodate collaborated on various aspects of the solution, including engineering, solution enhancements, and joint go-to market strategy. “Together, Microsoft and Wipro accommodate 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 aplomb in the prowess of this platform,” said Pallab Deb, Vice President & Global Head - Analytics, Wipro Limited.

“Wipro’s Data Discovery Platform is a leading sample of leveraging the data and ersatz Intelligence (AI) capabilities of Microsoft Azure cloud to build novel domain-specific industry 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 effectual 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 accommodate been strategic partners for decades. Wipro has demonstrated its commitment to this relationship by investing in novel industry-leading solutions for customers on the Azure platform.



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