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Work with Apache Spark using Scala to deploy and set up single-node, multi-node, and high-availability clusters. This book discusses various components of Spark such as Spark Core, DataFrames, Datasets and SQL, Spark Streaming, Spark MLib, and R on Spark with the help of practical code snippets for each topic. Practical Apache Spark also covers the integration of Apache Spark with Kafka with examples. You’ll follow a learn-to-do-by-yourself approach to learning – learn the concepts, practice the code snippets in Scala, and complete the assignments given to get an overall exposure. On completion, you’ll have knowledge of the functional programming aspects of Scala, and hands-on expertise in various Spark components. You’ll also become familiar with machine learning algorithms with real-time usage. You will: Discover the functional programming features of Scala Understand the complete architecture of Spark and its components Integrate Apache Spark with Hive and Kafka Use Spark SQL, DataFrames, and Datasets to process data using traditional SQL queries Work with different machine learning concepts and libraries using Spark's MLlib packages.

Scala (Computer program language) --- Functional programming languages --- Object-oriented programming languages --- Multiparadigm programming (Computer science) --- Big data. --- Open source software. --- Computer programming. --- Computer science. --- Big Data. --- Open Source. --- Programming Languages, Compilers, Interpreters. --- Informatics --- Science --- Computers --- Electronic computer programming --- Electronic data processing --- Electronic digital computers --- Programming (Electronic computers) --- Coding theory --- Free software (Open source software) --- Open code software --- Opensource software --- Computer software --- Data sets, Large --- Large data sets --- Data sets --- Programming --- Spark (Electronic resource : Apache Software Foundation) --- SPARK (Electronic resource) --- Apache Spark (Electronic resource : Apache Software Foundation) --- Programming languages (Electronic computers). --- Computer languages --- Computer program languages --- Computer programming languages --- Machine language --- Languages, Artificial

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Get the most out of MongoDB using a problem-solution approach. This book starts with recipes on the MongoDB query language, including how to query various data structures stored within documents. These self-contained code examples allow you to solve your MongoDB problems without fuss. MongoDB Recipes describes how to use advanced querying in MongoDB, such as indexing and the aggregation framework. It demonstrates how to use the Compass function, a GUI client interacting with MongoDB, and how to apply data modeling to your MongoDB application. You’ll see recipes on the latest features of MongoDB 4 allowing you to manage data in an efficient manner using MongoDB. You will: Work with the MongoDB document model Design MongoDB schemas Use the MongoDB query language Harness the aggregation framework Create replica sets and sharding in MongoDB.

Computer architecture. Operating systems --- Information systems --- Open Source --- computers --- gegevensanalyse --- Big data. --- Open source software. --- Computer programming. --- Big Data. --- Open Source. --- MongoDB.

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Leverage the power of visualization in business intelligence and data science to make quicker and better decisions. Use statistics and data mining to make compelling and interactive dashboards.  This book will help those familiar with Tableau software chart their journey to being a visualization expert. Pro Tableau demonstrates the power of visual analytics and teaches you how to: • Connect to various data sources such as spreadsheets, text files, relational databases (Microsoft SQL Server, MySQL, etc.), non-relational databases (NoSQL such as MongoDB, Cassandra), R data files, etc. • Write your own custom SQL, etc. • Perform statistical analysis in Tableau using R • Use a multitude of charts (pie, bar, stacked bar, line, scatter plots, dual axis, histograms, heat maps, tree maps, highlight tables, box and whisker, etc.) What you’ll learn: • How to connect to various data sources such as relational databases (Microsoft SQL Server, MySQL), non-relational databases (NoSQL such as MongoDB, Cassandra), write your own custom SQL, join and blend data sources, etc. • How to leverage table calculations (moving average, year over year growth, LOD (Level of Detail), etc. • How to integrate Tableau with R • How to tell a compelling story with data by creating highly interactive dashboards.

Computer science --- Programming --- Information systems --- MySQL --- computers --- programmeren (informatica) --- database management --- gegevensanalyse --- SQL (structured query language) --- computerkunde

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Leverage the power of visualization in business intelligence and data science to make quicker and better decisions. Use statistics and data mining to make compelling and interactive dashboards. This book will help those familiar with Tableau software chart their journey to being a visualization expert. Pro Tableau demonstrates the power of visual analytics and teaches you how to: • Connect to various data sources such as spreadsheets, text files, relational databases (Microsoft SQL Server, MySQL, etc.), non-relational databases (NoSQL such as MongoDB, Cassandra), R data files, etc. • Write your own custom SQL, etc. • Perform statistical analysis in Tableau using R • Use a multitude of charts (pie, bar, stacked bar, line, scatter plots, dual axis, histograms, heat maps, tree maps, highlight tables, box and whisker, etc.) What you’ll learn: • How to connect to various data sources such as relational databases (Microsoft SQL Server, MySQL), non-relational databases (NoSQL such as MongoDB, Cassandra), write your own custom SQL, join and blend data sources, etc. • How to leverage table calculations (moving average, year over year growth, LOD (Level of Detail), etc. • How to integrate Tableau with R • How to tell a compelling story with data by creating highly interactive dashboards.

Big data. --- Computer programming. --- Database management. --- Big Data. --- Programming Techniques. --- Database Management. --- Tableau (Computer file)

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Leverage the power of visualization in business intelligence and data science to make quicker and better decisions. Use statistics and data mining to make compelling and interactive dashboards. This book will help those familiar with Tableau software chart their journey to being a visualization expert. Pro Tableau demonstrates the power of visual analytics and teaches you how to: • Connect to various data sources such as spreadsheets, text files, relational databases (Microsoft SQL Server, MySQL, etc.), non-relational databases (NoSQL such as MongoDB, Cassandra), R data files, etc. • Write your own custom SQL, etc. • Perform statistical analysis in Tableau using R • Use a multitude of charts (pie, bar, stacked bar, line, scatter plots, dual axis, histograms, heat maps, tree maps, highlight tables, box and whisker, etc.) What you’ll learn: • How to connect to various data sources such as relational databases (Microsoft SQL Server, MySQL), non-relational databases (NoSQL such as MongoDB, Cassandra), write your own custom SQL, join and blend data sources, etc. • How to leverage table calculations (moving average, year over year growth, LOD (Level of Detail), etc. • How to integrate Tableau with R • How to tell a compelling story with data by creating highly interactive dashboards.

Big data. --- Computer programming. --- Database management. --- Big Data. --- Programming Techniques. --- Database Management. --- Tableau (Computer file)