Data
Reader small image

You're reading from  Learning Spark SQL

Product typeBook
Published inSep 2017
Reading LevelIntermediate
PublisherPackt
ISBN-139781785888359
Edition1st Edition
Languages
Scala
Tools
Apache Spark
Concepts
Data Streaming
Right arrow
Author (1)
Aurobindo Sarkar
Aurobindo Sarkar
author image
Aurobindo Sarkar


Read more about Aurobindo Sarkar

Right arrow

Building robust ETL pipelines using Spark SQL

ETL pipelines execute a of transformations on source data to cleansed, structured, and ready-for-use output by subsequent processing components. The transformations required to be applied on the source will depend on nature of the data. The input or source data can be structured (RDBMS, Parquet, and so on), semi-structured (CSV, JSON, and so on) or unstructured data (text, audio, video, and so on).  After being processed through such pipelines, the data is ready for downstream data processing, modeling, analytics, reporting, and so on.

The following figure illustrates an application architecture in which the input data from Kafka, and other sources such as application and server logs, are cleansed and transformed (using an ETL pipeline) before being stored in an enterprise data store. This data store can eventually feed other applications (via Kafka), support interactive queries, store subsets or views of the data in serving databases, train...

lock icon
The rest of the page is locked
Previous Page
Chapter 19 of 19, Page 6
Next Page
You have been reading a chapter from
Learning Spark SQL
Published in: Sep 2017Publisher: PacktISBN-13: 9781785888359
© 2017 Packt Publishing Limited All Rights Reserved

Other recommended products

Related to this chapter

Apache Spark 2.x Cookbook

Apache Spark 2.x Cookbook

Apache Spark has become the hottest platform and sought after skill set when it comes to the fields of Big Data, Analytics and Data Science. Apache Spark 2.x comes with series of new improvements in the areas of performance, scalability, operational and production readiness for structured processing of massive datasets. This book brings in a systematic way of getting a practical hands on to using its improved programming APIs, expanded SQL functionalities and implement distributed machine learning applications with Spark ML. Through the course of chapters, you will have explored the power of Spark DataFrames/Datasets, harness MLLib for Data mining, analyze complex problems with iterative or multi-stage Spark scripts and other associated toolsets such as Spark SQL, Spark Streaming and GraphX .

BookMay 2017294 pages
Apache Spark Quick Start Guide

Apache Spark Quick Start Guide

Apache Spark is a ?exible in-memory framework that allows processing of both batch and real-time data. Its unified engine has made it quite popular for big data use cases. This book will help you to quickly get started with Apache Spark 2.0 and write efficient big data applications for a variety of use cases.

BookJan 2019154 pages
Learning PySpark

Learning PySpark

This book will get you to grips with the Spark Python API. You’ll explore how Python can be used with Spark to build scalable and reliable data-intensive applications.

BookFeb 2017274 pages
Hands-On Big Data Analytics with PySpark

Hands-On Big Data Analytics with PySpark

In this book, you'll learn to implement some practical and proven techniques to improve aspects of programming and administration in Apache Spark. Techniques are demonstrated using practical examples and best practices. You will also learn how to use Spark and its Python API to create performant analytics with large-scale data.

BookMar 2019182 pages
Hands-On Data Analysis with Scala

Hands-On Data Analysis with Scala

This book will help you perform effective data analysis with Scala using practical examples. You will come across different challenges and their effective solutions for a variety of data processing tasks - be it data exploration, data manipulation, or real-time data analysis using Apache Spark.

BookMay 2019298 pages
Machine Learning with Spark

Machine Learning with Spark

Spark ML is the machine learning module of Spark. It uses in-memory RDDs to process machine learning models faster for clustering, classification, and regression.

BookApr 2017532 pages
Apache Spark 2.x for Java Developers

Apache Spark 2.x for Java Developers

Apache Spark is the buzzword in the big data industry right now, especially with the increasing need for real-time streaming and data processing. While Spark is built on Scala, the Spark Java API exposes all the Spark features available in the Scala version for Java developers. This book will show you how you can implement various functionalities of the Apache Spark framework in Java, without stepping out of your comfort zone.

BookJul 2017350 pages
Mastering Apache Spark 2.x

Mastering Apache Spark 2.x

Apache Spark is an in-memory cluster-based parallel processing system that provides a wide range of functionality like graph processing, machine learning, stream processing and more. This book will familiarize you with the newest features in Apache Spark 2.x, and take you through an exciting journey of complex Big Data processing, analytics, streaming analytics as well as advanced machine learning with Apache Spark. During the course of the book, you will leverage different functionalities and modules of Apache Spark such as Spark SQL, Spark MLlib, Spark Streaming, SparkML and more, to build efficient data processing solutions. By the end of this book, you will have all the necessary knowledge to use Apache Spark effectively in your day to day tasks.

BookJul 2017354 pages
Scala and Spark for Big Data Analytics

Scala and Spark for Big Data Analytics

Over the last few years, Scala has been adopted increasingly, especially in the field of data science and analytics, along with Apache Spark, which is built on Scala and is widely used in the field of analytics. With this book, you’ll learn how to leverage the power of both Scala and Spark to make sense of big data.

BookJul 2017796 pages
Learning Apache Spark 2

Learning Apache Spark 2

Apache Spark is one of the most popular Big Data processing frameworks today, delivering speed, accuracy and real-time results – all in one solution. With this book, you will delve into the world of Apache Spark and learn about the new features introduced in Spark 2, along with the architecture and the associated concepts. A comprehensive guide to Apache Spark 2 for beginners, this book covers everything you need to know to get up and running with Big Data processing, machine learning and stream processing with Apache Spark, and allows you to easily understand each of these concepts through real-world examples.

BookMar 2017356 pages
Machine Learning with Scala Quick Start Guide

Machine Learning with Scala Quick Start Guide

Scala as a programming language is a highly scalable integration of object-oriented and functional programming, which makes it easy to build scalable and complex big data applications. This book is a handy guide for machine learning developers and data scientists who want to train effective machine learning models using this popular language.

BookApr 2019220 pages
Modern Scala Projects

Modern Scala Projects

Scala is a multipurpose programming language, especially for analyzing large datasets without impacting the application performance. Its functional libraries can interact with databases and build scalable frameworks that create robust data pipelines. This book showcases how you can use Scala and its constructs to meet specific project demands.

BookJul 2018334 pages

Personalised recommendations for you

Based on your interests and search pattern

Et al.

Et al.

Ever wonder why speech recognition systems don't understand the Scottish accent, or what would happen if an astronaut only ate mac 'n' cheese, or other spurious reflections you'd have at a bar? We did, then collated those deliberations into absurd research articles with fake figures and methodologies inspired by even more fictionally absurd studies.

BookAug 2023230 pages5
Generative AI with LangChain

Generative AI with LangChain

This book is a comprehensive introduction to LLMs and LangChain, demystifying the basic mechanics of LangChain, its functionalities, and the myriad of applications it can be integrated into.

BookDec 2023360 pages4
Generative AI with LangChain

Generative AI with LangChain

This book is a comprehensive introduction to LLMs and LangChain, demystifying the basic mechanics of LangChain, its functionalities, and the myriad of applications it can be integrated into.

BookDec 2023360 pages5
Generative AI with LangChain

Generative AI with LangChain

This book is a comprehensive introduction to LLMs and LangChain, demystifying the basic mechanics of LangChain, its functionalities, and the myriad of applications it can be integrated into.

BookDec 2023360 pages1
Generative AI with LangChain

Generative AI with LangChain

This book is a comprehensive introduction to LLMs and LangChain, demystifying the basic mechanics of LangChain, its functionalities, and the myriad of applications it can be integrated into.

BookDec 2023360 pages5
Mastering Tableau 2023

Mastering Tableau 2023

This book is a comprehensive resource to mastering your Tableau skills and becoming a BI expert. As you progress, you will learn how to build advanced dashboards and improve your storytelling to derive key business insight, as well as make you well-versed with advanced functionalities of Tableau in the business intelligence domain.

BookAug 2023684 pages
Building AI Applications with ChatGPT APIs

Building AI Applications with ChatGPT APIs

This guide covers all ChatGPT API features for effortless creation of robust AI powered apps. With its help, you’ll be able to leverage ChatGPT’s cutting-edge NLP models to take your app development skills to the next level. You’ll also work on ten exciting projects that will give you the practical know-how that you can apply to your existing applications.

BookSep 2023258 pages5
Building AI Applications with ChatGPT APIs

Building AI Applications with ChatGPT APIs

This guide covers all ChatGPT API features for effortless creation of robust AI powered apps. With its help, you’ll be able to leverage ChatGPT’s cutting-edge NLP models to take your app development skills to the next level. You’ll also work on ten exciting projects that will give you the practical know-how that you can apply to your existing applications.

BookSep 2023258 pages2
Data Engineering with AWS

Data Engineering with AWS

Embark on a journey to master data engineering pipelines on AWS! Our book offers a hands-on experience of AWS services for ingesting, transforming, and consuming data. Whether you're an absolute beginner or someone with basic data engineering experience, this guide is an indispensable resource.

BookOct 2023636 pages5
Modern Data Architecture on AWS

Modern Data Architecture on AWS

Every organization wants an agile, performant, and cost-effective data platform that meets all their current and future business needs. Purpose-built AWS analytics services and their features play a big part in building such a modern data platform. This book brings to you all the design and architectural patterns that’ll help you achieve this goal.

BookAug 2023420 pages5
Practical Guide to Applied Conformal Prediction in Python

Practical Guide to Applied Conformal Prediction in Python

Discover the power of Conformal Prediction with the "Practical Guide to Applied Conformal Prediction in Python." Master the latest techniques to quantify uncertainty in machine learning and computer vision models, and seamlessly apply them to your industry applications.

BookDec 2023240 pages
TinyML Cookbook

TinyML Cookbook

With over 70 project-based recipes, the TinyML Cookbook is a practical guide that will help you to get the most out of your microcontrollers. It provides a comprehensive understanding of the theoretical foundations while giving you hands-on experience training ML models for deployment on Arduino Nano 33 BLE Sense, Raspberry Pi Pico, and SparkFun RedBoard Artemis Nano microcontrollers.

BookNov 2023664 pages