By Aurobindo Sarkar
- Learn in regards to the layout and implementation of streaming functions, laptop studying pipelines, deep studying, and large-scale graph processing purposes utilizing Spark SQL APIs and Scala.
- Learn facts exploration, facts munging, and the way to procedure dependent and semi-structured facts utilizing real-world datasets and achieve hands-on publicity to the problems and demanding situations of operating with noisy and "dirty" real-world data.
- Understand layout concerns for scalability and function in web-scale Spark software architectures.
In the prior 12 months, Apache Spark has been more and more followed for the advance of dispensed functions. Spark SQL APIs supply an optimized interface that is helping builders construct such functions speedy and simply. in spite of the fact that, designing web-scale construction purposes utilizing Spark SQL APIs could be a advanced job. for this reason, figuring out the layout and implementation top practices sooner than you begin your venture can assist you steer clear of those problems.
This booklet supplies an perception into the engineering practices used to layout and construct real-world, Spark-based functions. The book's hands-on examples provide you with the necessary self belief to paintings on any destiny initiatives you stumble upon in Spark SQL.
It begins by way of familiarizing you with facts exploration and knowledge munging projects utilizing Spark SQL and Scala. broad code examples can help you know the tools used to enforce standard use-cases for varied sorts of purposes. you'll get a walkthrough of the foremost suggestions and phrases which are universal to streaming, computing device studying, and graph purposes. additionally, you will learn the way such platforms are architected and deployed for a profitable supply of your venture. ultimately, you are going to stream directly to functionality tuning, the place you are going to examine sensible counsel and tips to get to the bottom of functionality issues.
What you are going to learn
- Familiarize your self with Spark SQL programming together with operating with DataFrame/Dataset API and SQL.
- Perform a chain of hands-on routines with varieties of facts resource together with CSV, JSON, Avro, MySQL, and MongoDB.
- Perform facts caliber assessments, facts visualization, and easy statistical research tasks.
- Perform information munging projects on publically on hand datasets.
- Learn to exploit Spark SQL and SparkR for regular information technology tasks.
- Learn key performance-tuning tips and methods in Spark SQL applications
- Learn to spot circumstances the place Spark SQL can be utilized in large-scale program architectures.
About the Author
Aurobindo Sarkar is presently the rustic Head (India Engineering heart) for ZineOne Inc. With a profession spanning 24+ years, he has consulted at many of the major corporations in India, US, united kingdom, and Canada. He focuses on real-time web-scale architectures, desktop studying, deep studying, Cloud Engineering, and large info Analytics. Aurobindo has been actively operating as a CTO in know-how startups for over 8 years now. As a member of the pinnacle management workforce at a number of startups, he has mentored founders and CxOs, supplied expertise advisory companies, and led product structure and engineering teams.
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Extra info for Learning Spark SQL
Learning Spark SQL by Aurobindo Sarkar