Everand Logo

Welcome to Everand!

  • Discover millions of ebooks, audiobooks, and so much more with a free trial

    Only $11.99/month after trial. Cancel anytime.

    Data Lake Analytics on Microsoft Azure: A Practitioner's Guide to Big Data Engineering
    Data Lake Analytics on Microsoft Azure: A Practitioner's Guide to Big Data Engineering
    Data Lake Analytics on Microsoft Azure: A Practitioner's Guide to Big Data Engineering
    Ebook372 pages2 hours

    Data Lake Analytics on Microsoft Azure: A Practitioner's Guide to Big Data Engineering

    By Harsh Chawla and Pankaj Khattar

    ()

    Read preview

    About this ebook

    Get a 360-degree view of how the journey of data analytics solutions has evolved from monolithic data stores and enterprise data warehouses to data lakes and modern data warehouses. You will

    This book includes comprehensive coverage of how:

    • To architect data lake analytics solutions by choosing suitable technologies available on Microsoft Azure
    • The advent of microservices applications covering ecommerce or modern solutions built on IoT and how real-time streaming data has completely disrupted this ecosystem
    • These data analytics solutions have been transformed from solely understanding the trends from historical data to building predictions by infusing machine learning technologies into the solutions

    Data platform professionals who have been working on relational data stores, non-relational data stores, and big data technologies will find the content in this book useful. The book also can help you start your journey into the data engineer world as it provides an overview of advanced data analytics and touches on data science concepts and various artificial intelligence and machine learning technologies available on Microsoft Azure.

    What Will You Learn

    You will understand the:

    • Concepts of data lake analytics, the modern data warehouse, and advanced data analytics
    • Architecture patterns of the modern data warehouse and advanced data analytics solutions
    • Phases—such as Data Ingestion, Store, Prep and Train, and Model and Serve—of data analytics solutions and technology choices available on Azure under each phase
    • In-depth coverage of real-time and batch mode data analytics solutions architecture
    • Various managed services available on Azure such as Synapse analytics, event hubs, Stream analytics, CosmosDB, and managed Hadoop services such as Databricks and HDInsight

    Who This Book Is For

    Data platform professionals, database architects, engineers, and solution architects

    LanguageEnglish
    PublisherApress
    Release dateOct 8, 2020
    ISBN9781484262528
    Data Lake Analytics on Microsoft Azure: A Practitioner's Guide to Big Data Engineering

    Related to Data Lake Analytics on Microsoft Azure

    Related ebooks

    Programming For You

    View More
    View More

    Related podcast episodes

    Related articles

    • Article

      Tuning our VM

      Jun 28, 2022

      Tuning our VM
      4 min read

    • Article

      Ice Cold With Kali

      May 2, 2023

      Ice Cold With Kali
      3 min read

    • Article

      Filesystems

      Nov 16, 2021

      Filesystems
      1 min read

    • Article

      Kodi Academy

      Jul 19, 2022

      Kodi Academy
      2 min read

    • Article

      Rokoko Studio 2.0

      Feb 23, 2021

      Rokoko Studio 2.0
      1 min read

    • Article

      Orchestrating with Xen

      Feb 9, 2021

      The distinction between Type 1 hypervisors (being minimal OSes designed only to host VMs) and those of Type 2 (which run VMs inside a regular operating system) can get a little muddy. KVM, which userspace programs like VirtualBox and QEMU can use, mi

      2 min read

    • Article

      Jonathan Ellis INTERVIEW

      Oct 22, 2019

      Jonathan Ellis INTERVIEW
      6 min read

    • Article

      Growing Communities of Practice

      Sep 1, 2019

      According to the SAP Digital Transformation Executive Study, 80 per cent of companies that have embraced digital transformation have experienced increased profitability. So why have only 21 per cent of companies completed their digital transformation

      5 min read

    • Article

      ‘Deep Learning’ Goes Faster With Organized Data

      Jun 5, 2017

      Researchers have found that a technique for speedy data lookup, called hashing, can dramatically reduce the amount of computation required for deep learning, a demanding form of machine learning. “This applies to any deep-learning architecture, and t

      2 min read

    • Article

      How To Make Sense From And With AI ?

      Sep 25, 2021

      How To Make Sense From And With AI ?
      4 min read

    • Article

      Creating Value in a ‘Postnormal’ World

      May 1, 2018

      IN AN ATTEMPT TO DEFINE the exponential change that is re-framing our traditional operating systems and social structures, sociologist Ziauddin Sardar coined the phrase ‘Postnormal Times’. Based on the concept of postnormal science — in which facts a

      7 min read

    • Article

      Digital Connection

      Jan 1, 2023

      Digital Connection
      4 min read

    • Article

      Questions for Angela Zutavern, Machine Intelligence Expert, Booz Allen Hamilton

      Jan 1, 2018

      You believe that the world of leadership has hit an inflection point. How so? As useful as popular mental models and heuristics are, machine models now outstrip human performance in about half of the portfolio of cognitive tasks. Going forward, we wi

      6 min read

    • Article

      A Changing Working World

      Dec 23, 2018

      Globalisation, technology and industries are developing so rapidly that what worked in the past won’t necessarily work tomorrow. This is particularly relevant in facilities management, which is at the forefront of workplace change. Love it or hate it

      5 min read

    • Article

      Q&A

      May 1, 2023

      Describe the capability that companies like Netflix, UPS, Amazon and Caesars Entertainment have in common. These are all leading firms in their industries with respect to leveraging analytics as a source of competitive advantage. We now have so much

      7 min read

    Related categories

    Reviews for Data Lake Analytics on Microsoft Azure

    0 ratings

    0 ratings0 reviews

    What did you think?

    Tap to rate

    Review must be at least 10 words

      Book preview

      Data Lake Analytics on Microsoft Azure - Harsh Chawla

      J*bbook_preview_excerpt.html[r86rɒ=3=Cnk۲}@",&A˧'uo{O/ٗJZ\-̗/3Qo?E׼~ڮޖjSLEv{%TΩV>:y~<{sԜiN׳f>PNeսjUmɻٵ[٥ξ~8-kWGG5sۮϏ?óg/xy'9yïXpqʋ'o:zuFO"վE:׍0_9 ÎhOѲ oyw 4LJA^oYvUF' ]f\Y~zYSͳOmuBY.SYn2ת/:wfv)ӬZq |Sغ-V}[U}[/SXntK:gùbVfƸ--֑hT8x3KUwW]tUKS}|!6< ga6۵δnI:3ＨgWGe3B2PTeaJBvjqF6k*UgV֛VqH͔,;niE֞JAyw0м>jۆweVMF=:j[k29i*gVz8jng,bQ4l~lՇSo] tm 9o, u%m_ ܘ ј\wykk&+nuփµ'"jmӚK:KKڥ o%kȋϰ?.c舨|J9Kv'\bյc8 㕀0NrD5EU՛ B}Bsp2)%wW>N^`]xXwwk[|BE6 ̵45{ GHǐUCc[ Ɋo v+WGUyaE0͈*3xQb8a 2T Βv:r:nƑw*00La` *ZF_;ʃtw<<<{f7ܔL @IThlLC6g)xI b-*ֈ媪 9`N2$-`[8Gi;/l~ʀ~0lvxw>bkM-zFx}UJ!bwg;LmwF.욣(g҉ 0g:+ c@zPZU^Fl`i*֮p<()f@F>eS0'(\]rOpTͯ3mG:a41s+!_gr&(!]v"/V.Ӧ"ݼϊ?vg#Ts.?Fͦq 2.ZHNX;^$ġI|~$p/N^<y+]SϿ4+(CImeϣP Aގ5љHPESm;]a G KN_Fz"3@QuG祵q/ ]ñ 2K>`*K=mz uv;!UJ̒@Ty&;H 8sV;l5߅ORrFy2{3mVZ(¹Mueda&-H9*a@T4hi@쫡]ᒗ6./>/ss';he 3kv%OuO= Ea^&tĽ`vg)߰dFO>($jb0>-Q$;2g9yC<1br?SQcKqy ~{u 8+\ MIϹMtE6MuLgd1I}k'~:q/'r"Hs[mbyQg7$aEjWyOEL^-PdbSP]0aM" 5c8 rj,.<ͧ)y8KsZP+JG1B<ԉ%qkpg>ق^֪դB'|j2XQ g%J*ɼNޔ}]tt>k)6q& r?NﳉMt2~fz}*5VZCpQL>x:Ma Qi}뛳65ж<󤪍z1X!Kt4..,Z<,mMrI*CRI-r@GH.P̖ϖ`1g.ɤ,xG$p _g_ _k3t͕r-'+ff&i MTOΞ,f) 뢝+$ PgQj ]u`71Ɩpc!sclwJwMۜU %"} F1:(i{nϡy6p}1I"BuZ4` ?\ a{wC%M~)79VD)=|2i͸%cw2Uc%xj=̜M,q+{O°c(@^8CdA$GMkSv!b(5<;M iga4I~T~=
      Enjoying the preview?
      Page 1 of 1