Using Spark in The Hadoop Ecosystem

Hadoop Engineering  eBooks & eLearning

Posted by naag at July 31, 2025
Hadoop Engineering

Hadoop Engineering
English | 2025 | ISBN: 9798231689293 | 538 pages | EPUB (True) | 1.59 MB

Mastering Deep Learning using Apache Spark  eBooks & eLearning

Posted by naag at April 17, 2019
Mastering Deep Learning using Apache Spark

Mastering Deep Learning using Apache Spark
MP4 | Video: AVC 1280x720 | Audio: AAC 44KHz 2ch | Duration: 2 Hours | 579 MB
Genre: eLearning | Language: English

Taming Big Data with MapReduce and Hadoop - Hands On!  eBooks & eLearning

Posted by FenixN at Dec. 14, 2016
Taming Big Data with MapReduce and Hadoop - Hands On!

Taming Big Data with MapReduce and Hadoop - Hands On!
HDRips | MP4/AVC, ~1526 kb/s | 1920x1080 | Duration: 04:58:43 | English: AAC, 128 kb/s (2 ch) | 2.62 GB
Genre: Development / Programming

Master the art of processing Big Data using Hadoop and MapReduce with the help of real-world examples.

Ultimate Big Data Analytics with Apache Hadoop  eBooks & eLearning

Posted by hill0 at Feb. 9, 2025
Ultimate Big Data Analytics with Apache Hadoop

Ultimate Big Data Analytics with Apache Hadoop:
Master Big Data Analytics with Apache Hadoop Using Apache Spark, Hive, and Python

English | 2024 | ISBN: 8197396574 | 358 Pages | EPUB (True) | 79 MB

Pro Apache Phoenix: An SQL Driver for HBase  eBooks & eLearning

Posted by hill0 at Dec. 30, 2016
Pro Apache Phoenix: An SQL Driver for HBase

Pro Apache Phoenix: An SQL Driver for HBase by Shakil Akhtar
English | 30 Jan. 2017 | ISBN: 1484223691 | 140 Pages | PDF | 6.44 MB

Leverage Phoenix as an ANSI SQL engine built on top of the highly distributed and scalable NoSQL framework HBase. Learn the basics and best practices that are being adopted in Phoenix to enable a high write and read throughput in a big data space.

Pro Apache Phoenix: An SQL Driver for HBase  eBooks & eLearning

Posted by hill0 at April 6, 2017
Pro Apache Phoenix: An SQL Driver for HBase

Pro Apache Phoenix: An SQL Driver for HBase by Shakil Akhtar
English | 16 Jan. 2017 | ISBN: 1484223691 | 160 Pages | EPUB | 4.98 MB

Leverage Phoenix as an ANSI SQL engine built on top of the highly distributed and scalable NoSQL framework HBase. Learn the basics and best practices that are being adopted in Phoenix to enable a high write and read throughput in a big data space.

Internet of Things (IoT) Fundamentals  eBooks & eLearning

Posted by naag at June 24, 2017
Internet of Things (IoT) Fundamentals

Internet of Things (IoT) Fundamentals
MP4 | Video: AVC 1280x720 | Audio: AAC 44KHz 2ch | Duration: 8.5 Hours | 11.2 GB
Genre: eLearning | Language: English

Internet of Things (IoT) Fundamentals LiveLessons [Updated]  eBooks & eLearning

Posted by IrGens at June 27, 2017
Internet of Things (IoT) Fundamentals LiveLessons [Updated]

Internet of Things (IoT) Fundamentals LiveLessons [Updated]
ISBN: 0134667581 | .MP4, AVC, 3300 kbps, 1280x720 | English, AAC, 192 kbps, 2 Ch | 15.5 hours | 22.73 GB
Instructors: Jerome Henry, Rob Barton

Getting Started with Kudu: Perform Fast Analytics on Fast Data  eBooks & eLearning

Posted by AlenMiler at July 10, 2018
Getting Started with Kudu: Perform Fast Analytics on Fast Data

Getting Started with Kudu by Jean-marc Spaggiari
English | 31 July 2018 | ISBN: 1491980257 | 200 Pages | EPUB | 2.92 MB

Getting Started with Kudu: Perform Fast Analytics on Fast Data  eBooks & eLearning

Posted by First1 at July 21, 2018
Getting Started with Kudu: Perform Fast Analytics on Fast Data

Getting Started with Kudu: Perform Fast Analytics on Fast Data by Jean-Marc Spaggiari, Mladen Kovacevic, Brock Noland, Ryan Bosshart
English | July 11th, 2018 | ISBN: 1491980257 | 288 Pages | EPUB (True/HQ) | 4.36 MB

Fast data ingestion, serving, and analytics in the Hadoop ecosystem have forced developers and architects to choose solutions using the least common denominator—either fast analytics at the cost of slow data ingestion or fast data ingestion at the cost of slow analytics. There is an answer to this problem. With the Apache Kudu column-oriented data store, you can easily perform fast analytics on fast data. This practical guide shows you how.