Автор: Ernesto Lee
Издательство: Independently published
Год: 2021
Страниц: 482
Язык: английский
Формат: epub
Размер: 10.1 MB
Learn how to leverage the power of Apache Spark to perform data processing tasks on very large data sets or distribute data processing functions across different computers but have no clue how to use it well because you don’t even understand what Apache Spark is all about?
And do you want to quickly learn the art of writing efficient big data applications with Apache Spark and are looking for a guide that will take away the guesswork on how you can program with Scala, fully aware of its inner workings?
If you’ve answered YES, this book may be for you…
Let This Book Introduce You To The Inner Workings Of Apache Spark And Its Place In Big Data, Including Spark Configuration And Optimization, Spark SQL, Resilient Distributed Datasets And The Ins And Outs Of Programming With Scala!
With its ability to perform fast, in-memory cluster computing, Apache Spark is emerging as a favorite technology for analytics on large datasets.
What’s more; its ability to process and store large data makes Spark efficient and flexible.
The fact that you’re here means you have heard of Apache Spark but you are probably wondering…
What is Apache spark and why specifically Spark?
What does Apache Spark do that is so exceptional?
How can Apache Spark be used alongside Hadoop?
Is there a module to implement SQL in spark?
What is Scala?
How do we create RDDs in Spark?
If you have these and other related questions, then this corporate IT training courseware is for you.
By reading this book you’ll get up to speed on how to use Apache spark for data exploration. So even if you are a complete beginner to Apache Spark, this this corporate IT training courseware will leave no stone unturned in ensuring you have a deep understanding of how to use it. What’s more – there are exercises, images and other supporting material to ensure your learning process is seamless!
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