RDD Advance Transformation And Actions groupbykey And reducebykey Basics

✓ In this Week of Project CORE, from the exciting part of E-commerce section we would see how Hadoop works, if you have not enrolled in Project CORE then limited availability link here with 80% off :
✓ https://www.ui5cn.com/courses/project...

✓ Below are the topics covered in this Spark Architecture Tutorial in Project CORE Sprint 2 and 3:
1) How Spark is Built by using Python Programming language
2) Spark Context
3) Master-Slave Architecture
4) RDD in Details
5) DF in Details

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#SparkArchitecture #HDFSArchitecture #HDFSReadWrite #SparkCommands #HDFSCommands
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✓ With Project CORE Sprint 2 and 3
1. Master the concepts of HDFS and MapReduce framework
2. Understand how spark is built by using Python Programming Language
3. Setup Hadoop Cluster and Learn its Architecture and commands
4. Learn and Understand Spark
5. Deploy Your Own Cluster on GCP for Free with HDFS utilizing Spark
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✓Who should go for this course?
If you belong to any of the following groups, knowledge of Big Data and Hadoop is crucial for you if you want to progress in your career:
1. Analytics professionals
2. SAP® Consultant and Architects
3. Project managers
4. Testing professionals
5. Mainframe professionals
6. Software developers and architects
7. Recent graduates passionate about building successful career in Big Data
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Why Learn Spark?
✓Apache Spark™
is a fast and general engine for large-scale data processing.
✓Ease of Use
✓Write applications quickly in Java, Scala, Python, R.
✓Spark offers over 80 high-level operators that make it easy to build parallel apps. And you can use it interactively from the Scala, Python and R shells.
✓Generality
Combine SQL, streaming, and complex analytics.
✓ Spark powers a stack of libraries including SQL and DataFrames, MLlib for machine learning, GraphX, and Spark Streaming. You can combine these libraries seamlessly in the same application.
✓Runs Everywhere
Spark runs on Hadoop, Mesos, standalone, or in the cloud. It can access diverse data sources including HDFS, Cassandra, HBase, and S3.
✓You can run Spark using its standalone cluster mode, on EC2, on Hadoop YARN, or on Apache Mesos. Access data in HDFS, Cassandra, HBase, Hive, Tachyon, and any Hadoop data source.
✓Community
Spark is used in a wide range of organizations to process large datasets.
✓Apache Spark is built by a wide set of developers from over 200 companies. Since 2009, more than 1000 developers have contributed to Spark!