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70-776 Performing ample Data Engineering with Microsoft Cloud Services

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

Test Code : 70-776
Test appellation : Performing ample Data Engineering with Microsoft Cloud Services
Vendor appellation : Microsoft
free pdf : 69 existent Questions

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Microsoft Performing ample Data Engineering

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

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

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

Prabhat leads the statistics and Analytics functions team at NERSC. in this function, he is answerable for deploying the ample 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 seat at NERSC, which is enabling skill statistics applications to Run 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.

register for their insideHPC e-newsletter


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

Microsoft nowadays announced the intimate availability of Azure information Explorer (ADX) and Azure facts Lake Storage Gen2 (ADLS Gen2) — two functions it says will achieve 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, companionable media, mobile apps, and information superhighway of issues devices. The industry additionally launched a preview of Mapping facts flux in Azure information factory, a visual, no-code app that enables developers to build “records transformations.”

“We always attempt to invent it very smooth for IT personnel to adopt analytics and for line-of-company americans to invent 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 exist highly addressed on the server side.

in the meantime, ADX is goal-constructed for lickety-split ample facts analytics. Microsoft claims ADX can dissect 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 dissect performed by means of GigaOm that establish Azure SQL information Warehouse outperforms competing systems like Google BigQuery in TPC-H benchmark checks by passage 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 utilize of huge facts to invent Blockchains Searchable | killexams.com existent 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 ample information and search algorithms until now, as Google has combined both to invent blockchains searchable.

search engines like google and yahoo For Blockchains

Senior developer intimate for Google Cloud, Allen Day, is watching for customer require before products even exist. He thinks accessible blockchain is the next ample 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 peruse the facts. The challenge, called Blockchain ETL (extract, radically change, load), has already confirmed to exist 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 hold 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 utilize of AI on the Ethereum blockchain. however he can’t exist certain, he suspects they should exist would becould very well exist crypto-alternate bots performing wash-buying and selling. He says:

in the future, affecting 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 utilize 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, privilege down to the particular person pockets.

photo courtesy of THOMAS SILKJAER/ NICK DESANTIS

Day has furthermore used his outfit 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 any of the alien money was being hoarded with the aid of ample holders. He explains:

I’m very involved to quantify what’s happening in order that they will view the spot the legit utilize instances are for blockchain. Then they will promenade to the subsequent utilize case and strengthen out what these applied sciences are in reality usurp for.

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

Will Googling blockchains eddy into conventional? share your strategies beneath!

pictures courtesy of Shutterstock


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Performing ample Data Engineering with Microsoft Cloud Services

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Two unique Azure analytics GA releases, one preview and a ample push on SQL DW | killexams.com existent 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 ultimate week, is a ample Data storage, query and visualization platform, with a special knack for time chain analysis.

Also read: Fastly, Microsoft confederate 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 exact hierarchical file system on top of it, along with the skill to wield arbitrarily great files. Hierarchical file systems hold first class back for folder structures. That's principal in ample Data applications where data is often partitioned as groups of sequence files segregated by folder, necessitating folder-level operations that can treat any the files in a folder as a sole unit of data.

Standard cloud object storage systems retain any 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 handicap of simplicity, ADLS gives Microsoft a stately ample Data solution, and one that is based on its object store technology, rather than being a completely sever product.

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

Let's bag visual

Speaking of Azure Data Factory (ADF), that service will now tender a visual data flux 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 exist done in external scripts that ADF could run. Visual data flows will allow the data engineering work itself to exist 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 exist 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 furthermore allows for visual data engineering work (under the moniker of "data prep") to exist carried out and which furthermore generates code (in a Microsoft-proprietary language called M) to finish it. The appellation concussion 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 quit of this post), Azure DW was establish to exist 67 per cent faster than Amazon Redshift and up to 14x faster than Google BigQuery. Microsoft will commence a major push around this news and will tout its overall price/performance handicap 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 furthermore exist 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 hold to select between the local "import" and external "DirectQuery" modes, but now they can amalgamate and match. This makes Power BI ample Data-capable when the features are enabled through utilize 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 worry 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 ample Data analytics. Today marks the start of Microsoft's next ample chapter in that epic tale.

Disclosure: I myself finish 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 existent 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 ample 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 ameliorate accuracy and speed of industry decision-making, leveraging ample 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 handicap in a digital-first world, businesses exigency tools to organize, analyze, and act on insights gleaned from this vast amount of data. To provide visibility into these great data sets, Microsoft launched Azure Data Explorer, ample 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 invent immediate, impactful industry decisions informed by ample 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 assignation performance.

The integrated solution is already producing results for market-leading companies including Taboola, the largest platform for content recommendation, audience acquisition, and indigenous advertising. Taboola generates 22 billion records of edge delivery data logs per day and needed a passage to quickly, simply, and cost-effectively dissect 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 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 invent the changes they exigency as quickly as possible," explained Dana Wolf, SVP of Product and Marketing at Fastly. "To this end, they embrace and integrate with a army of central cloud platforms. This partnership and the integrations we're building with Microsoft are another investment in back of their customer-first philosophy, empowering businesses to bag the most value out of their operations at the edge."

Fastly is trusted by brands like Airbnb, The unique York Times, Pinterest, GitHub, and thousands more across e-commerce, travel, and hospitality, digital publishing, SaaS industries, and monetary 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 well-liked digital businesses retain 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 unique 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. any rights reserved.


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

cloud

Wipro has announced the availability of Data Discovery Platform, its ample data analytics-as-a-service solution on Microsoft Azure. The solution accelerates insight-driven determination making through pre-built applications for specific industries, such as banking and monetary 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 hold been showcased on Microsoft Advanced Analytics confederate Solution Showcase.

Wipro and Microsoft hold collaborated on various aspects of the solution, including engineering, solution enhancements, and joint go-to market strategy. “Together, Microsoft and Wipro hold 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 assurance 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 artificial 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 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 hold been strategic partners for decades. Wipro has demonstrated its commitment to this relationship by investing in unique industry-leading solutions for customers on the Azure platform.



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