04869nam a22004455i 4500 20230419134606.0 200611s2020 xxu| o |||| 0|eng d 9781484257814 10.1007/978-1-4842-5781-4 doi WaSeSS AIMIT LIBRARY HF5548.125-5548.6 KJQ bicssc BUS070030 bisacsh KJQ thema 005.76821 ILIR Ilijason, Robert. 31912 Beginning Apache spark using azure databricks : unleashing large cluster analytics in the cloud / By Robert Ilijason. 1st ed. 2022. London : Apress , 2022. xvii,274p. ; PB 26cm. text file PDF rda Chapter 1: Introduction to Large-Scale Data Analytics -- Chapter 2: Spark and Databricks -- Chapter 3: Getting Started with Databricks -- Chapter 4: Workspaces, Clusters, and Notebooks -- Chapter 5: Getting Data into Databricks -- Chapter 6: Querying Data Using SQL -- Chapter 7: The Power of Python -- Chapter 8: ETL and Advanced Data Wrangling -- Chapter 9: Connecting to and from Afar -- Chapter 10: Running in Production -- Chapter 11: Bits and Pieces. Requires an SPL library card. Analyze vast amounts of data in record time using Apache Spark with Databricks in the Cloud. Learn the fundamentals, and more, of running analytics on large clusters in Azure and AWS, using Apache Spark with Databricks on top. Discover how to squeeze the most value out of your data at a mere fraction of what classical analytics solutions cost, while at the same time getting the results you need, incrementally faster. This book explains how the confluence of these pivotal technologies gives you enormous power, and cheaply, when it comes to huge datasets. You will begin by learning how cloud infrastructure makes it possible to scale your code to large amounts of processing units, without having to pay for the machinery in advance. From there you will learn how Apache Spark, an open source framework, can enable all those CPUs for data analytics use. Finally, you will see how services such as Databricks provide the power of Apache Spark, without you having to know anything about configuring hardware or software. By removing the need for expensive experts and hardware, your resources can instead be allocated to actually finding business value in the data. This book guides you through some advanced topics such as analytics in the cloud, data lakes, data ingestion, architecture, machine learning, and tools, including Apache Spark, Apache Hadoop, Apache Hive, Python, and SQL. Valuable exercises help reinforce what you have learned. What You Will Learn Discover the value of big data analytics that leverage the power of the cloud Get started with Databricks using SQL and Python in either Microsoft Azure or AWS Understand the underlying technology, and how the cloud and Spark fit into the bigger picture See how these tools are used in the real world Run basic analytics, including machine learning, on billions of rows at a fraction of a cost or free This book is for data engineers, data scientists, and cloud architects who want or need to run advanced analytics in the cloud. It is assumed that the reader has data experience, but perhaps minimal exposure to Apache Spark and Azure Databricks. The book is also recommended for people who want to get started in the analytics field, as it provides a strong foundation. Robert Ilijason is a 20-year veteran in the business intelligence (BI) segment. He has worked as a contractor for some of Europe's biggest companies and has conducted large-scale analytics projects within the areas of retail, telecom, banking, government, and more. Robert has seen his share of analytic trends come and go over the years, but unlike most of them, he strongly believes that Apache Spark in the cloud, especially with Azure Databricks, is a game changer. Mode of access: World Wide Web. Getting started with databricks 31913 Querying data using sql 31914 Power of python 31915 Running in production 31916 Bits and pieces 31917 Electronic books. local 31918 SpringerLink (Online service) 31919 O'Reilly (Firm) 31920 Serials Solutions 31921 Springer Nature eBook Printed edition: 9781484257807 Printed edition: 9781484257821 View this electronic item in O'Reilly Online Learning: Academic/Public Library Edition. https://ezproxy.spl.org/login?url=https://learning.oreilly.com/library/view/~/9781484257814/?ar An e-book available through full-text database. ddc BK 1st ed. 005.76821 ILIR 222632 222632 0 0 ddc 0 0 MCA AIMIT AIMIT 2022-03-24 Biblios Book Point 1099.00 Bill no:6625; Bill dt:2022-03-23 0 005.76821 ILIR MCA17090 2025-07-21 00:00:00 879.20 2022-04-26 BK 0 0 ddc 0 0 MCA AIMIT AIMIT 2023-03-20 Biblios Book Point 1099.00 Bill no:8480;Billdt:2023-03-20 0 005.76821 ILIR MCA17178 2025-07-21 00:00:00 879.20 2023-04-18 BK