Professional Spark: Big Data Cluster Computing in Production by Ema Iancuta, Kai Sasaki, Anikate Singh, Brennon York

Professional Spark: Big Data Cluster Computing in Production



Download Professional Spark: Big Data Cluster Computing in Production

Professional Spark: Big Data Cluster Computing in Production Ema Iancuta, Kai Sasaki, Anikate Singh, Brennon York ebook
Publisher: Wiley
ISBN: 9781119254010
Page: 260
Format: pdf


Process streaming data as it arrives in your cluster via Spark Streaming. You are probably all somewhere on the Spark journey to production are deploying Hadoop and Spark applications in one cluster with better reliability and performance at production scale. Evaluated open source ESB technologies for cloud computing platform . With so much hype about “big data” and the industry pushing for “big data” and it implies that over 50% of analytics professionals work with datasets that (even in About 5% of uses are in the Petabytes range and likely use Hadoop/Spark. Apache Hadoop powers CDH and Cloudera Enterprise. Professional Hadoop is the complete reference and resource for ProfessionalSpark: Big Data Cluster Computing in Production (1119254019) cover image. The MapR Distribution including Apache Hadoop provides advanced features for as well as new users of Hadoop to easily deploy YARN in production environments. This course provides a high level overview if Big Data and dives into Hadoop addresses the limitations of traditional computing, helps businesses and outlines how to prepare the data center and manage Hadoop in production. Guest blog: How Customers Win with Spark on Hadoop deployed Spark inproduction on the MapR Distribution including Hadoop. Created and maintained software using Hadoop, HBase, Hive, Spark, Python, Ruby, Java, Sqoop, Object Orientated Design Maintained Hadoop production cluster costs below financial targets. View Paul Sterk's professional profile on LinkedIn.





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