64.5 Hours of Hadoop, MapReduce, Spark & More to Prepare You For One of Todayβs Fastest-Growing IT Careers
Hey fellow geeks,
This week, on our JCG Deals store, we have another extreme offer.
We are offering a massive 94% off on The Big Data Bundle. Get it now with only $45, instead of the original price of .
Learn By Example: Hadoop & MapReduce for Big Data Problems
Big Data sounds pretty daunting doesnβt it? Well, this course aims to make it a lot simpler for you. Using Hadoop and MapReduce, youβll learn how to process and manage enormous amounts of data efficiently. Any company that collects mass amounts of data, from startups to Fortune 500, need people fluent in Hadoop and MapReduce, making this course a must for anybody interested in data science.
This is a 9 Course bundle (418 Lessons total) containing the following courses:
- From 0 to 1 : Hive for Big Data Processing: Connect the Dots Between SQL & Hive to Enhance Your Big Data Processing Skills
- Learn By Example: Hadoop & MapReduce for Big Data Problems: Discover Mass Data Processing Methods by Using the Leading Data Frameworks
- From 0 to 1 : Spark for Data Science in Python: Make Your Data Fly Using Spark for Analytics, Machine Learning, & Data Science
- Scalable Programming with Scala & Spark: Get Rich Using Scala & Spark for Data Analysis, Machine Learning & Analytics
- Learn by Example: HBase β The Hadoop Database: Create More Flexible Databases by Mastering HBase
- Pig for Wrangling Big Data: Become a Well-Paid Data Handler by Learning to Load, Transform & Extract Data Using Pig
- From 0 to 1 : The Cassandra Distributed Database: Learn the Cassandra Distributed Database & Greatly Improve Your Big Data Resume
- Oozie: Workflow Scheduling for Big Data Systems: Streamline Your Big Data Workflow by Learning to Use Workflows, Coordinators & Bundles in Oozie
- Flume & Sqoop for Ingesting Big Data: Efficiently Import Data to HDFS, HBase & Hive From a Variety of Sources & Watch Your Job Prospects Grow
Thank you!
We will contact you soon.
Java Code GeeksSeptember 25th, 2017Last Updated: September 12th, 2023

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