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Learning Apache Drill Query and Analyze Distributed Data Sources with SQL

Get up to speed with Apache Drill, an extensible distributed SQL query engine that reads massive datasets in many popular file formats such;

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Pro Apache Phoenix

Leverage Phoenix as an ANSI SQL engine built on top of the highly distributed and scalable NoSQL framework HBase. Learn the basics and best;

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The Apache Ignite Book

users to use the platform as an in-memory computing framework or a full functional persistence data stores with SQL and ACID transaction support;

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Beginning Apache Spark 2

you how to work with it. Along the way, you'll discover resilient distributed datasets (RDDs); use Spark SQL for structured data; and learn;

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Trino: The Definitive Guide

Perform fast interactive analytics against different data sources using the Trino high-performance distributed SQL query engine. In the;

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Hadoop The Definitive Guide

query language Analyze datasets with Hive, Hadoop's data warehousing system Take advantage of HBase for structured and semi-structured data;

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Learn SQL Database Programming

Workbench and design a database using practical examples. You'll also discover how to query and manipulate data with SQL programming using MySQL;

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Beginning Apache Spark 3

efficient distributed data processing engine inside of Apache Spark; its user-friendly, comprehensive, and flexible programming model for processing;

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PolyBase Revealed

capabilities with a scale-out cluster Understand how PolyBase interacts with outside data sources while presenting their data as regular SQL Server;

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Learning Spark SQL

DataFrame/Dataset API and SQL * Perform a series of hands-on exercises with different types of data sources, including CSV, JSON, Avro, MySQL, and;

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Practical Sql, 2nd Edition

Second edition of the best-selling Practical SQL. An approachable guide to programming in SQL (Structured Query Language) that will teach;

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Apache Spark 2

Build efficient data flow and machine learning programs with this flexible, multi-functional open-source cluster-computing framework Key;

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SQL for Data Scientists - A Beginner's Guide for Building Datasets for Analysis

machine learning. You can also discover how to approach query design and develop SQL code to extract data insights while avoiding common pitfalls;

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Spark GraphX in Action

engine, makes it possible to efficiently explore and interpret large-scale graph data at near-realtime speeds. GraphX works with Spark's;

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Apache Spark 2.x for Java Developers

clustered environment, and work with Spark SQL. Moving on, you will perform near-real-time processing with Spark streaming, Machine Learning;

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Practical Apache Spark

Kafka Use Spark SQL, DataFrames, and Datasets to process data using traditional SQL queries Work with different machine learning concepts;

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Programming Microsoft Linq In Microsoft .Net Framework 4

Dig into LINQ -- and transform the way you work with data. With LINQ, you can query data from a variety of sources -- including databases;

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Beginning T-SQL

edition is coverage of JSON from T-SQL, news about performance enhancements called Intelligent Query Processing, and an appendix on running SQL;

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Big Data Analytics

batch and real-time data analytics using Spark Core, Spark SQL, and Conventional and Structured Streaming * Get to grips with data science and;

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Hadoop: The Definitive Guide

), then run distributed computations with MapReduce * Use Hadoop's data and I/O building blocks for compression, data integrity, serialization;

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Introducing Microsoft SQL Server 2019

data and efficiently monitor it. By the end of this book, you'll be well versed with all the features of Microsoft SQL Server 2019 and;

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Apache Hive Essentials

explore and analyze Big Data in Hadoop, this is the book for you. Since Hive is an SQL-like language, some previous experience with SQL will be;

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Microsoft SQL Server 2008 T-SQL Fundamentals

code samples-that show you how to develop code to query and modify data. You'll gain a solid understanding of the T-SQL language and good;

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Learning Spark

computing system that makes data analytics fast to write and fast to run. With Spark, you can tackle big datasets quickly through simple APIs;

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SQL in a Nutshell - A Desktop Quick Reference

administrators. It also aims to provide a learning resource for novice and auxiliary SQL users such as system administrators, users of packaged client;

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T-SQL Fundamentals

Effectively query and modify data using Transact-SQL Master T-SQL fundamentals and write robust code for Microsoft SQL Server and Azure;

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Amazon Athena User Guide

Amazon Athena is an interactive query service that makes it easy to analyze data directly in Amazon Simple Storage Service (Amazon S3;

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