Best Big Data Training Online
$1,020
Regularly $1,530
Course Delivery | Online |
Number of Courses | 14 Courses, 38 Units |
Certificate/Diploma | Yes with Final Score |
Availability | Now Available |
Big Data training requires a holistic approach and a change to regular working practices. A number of tools are available for working with Big Data. Many of the tools are open source and Linux distribution based. This course covers the fundamentals of Big Data, including positioning it in a historical IT context, the tools available for working with Big Data, the Big Data stack, and finally, an in-depth look at Apache Hadoop.
Our Big Data Training Online program is designed for IT engineers, programmers, and DBAs working with or interested in, as well as business decision makers interested in implementing or managing Big Data systems
Course Listing – Big Data Training Online
Big Data Fundamentals
The Technology Wave
Opportunities and Challenges
Apache Spark Fundamentals
Programming and Deploying Apache Spark Applications
Apache Hadoop and MapReduce Essentials
Apache Hadoop
MapReduce Essentials
Big Data – The Marketing Perspective
Marketing Perspective
The Engineering Perspective
Engineering Perspectives
The Sales Perspective
Sales Perspective
The Legal Perspective
The Legal Perspective
The Corporate Leadership Perspective
Corporate Leadership Perspective
The Strategic Planning Perspective
Strategic Planning
Hadoop Ecosystem
Ecosystem for Hadoop
Installation of Hadoop
Data Repository
– with HDFS and HBase
– with Flume
– with Sqoop
Data Refinery with YARN and MapReduce
Data Factory
– with Hive
– with Pig
– with Oozie and Hue
Data Flow for the Hadoop Ecosystem
Hadoop Operations
Designing Hadoop Clusters
Hadoop in the Cloud
Deploying Hadoop Clusters
Hadoop Cluster Availability
Securing Hadoop Clusters
Operating Hadoop Clusters
Stabilizing Hadoop Clusters
Capacity Management for Hadoop Clusters
Performance Tuning of Hadoop Clusters
Cloudera Manager and Hadoop Clusters
Apache Spark Advanced Topics
Spark Core
Spark Streaming
MLlib, GraphX, and R
Apache Kafka
Apache Kafka Operations
Apache Kafka Development
Apache Storm Introduction
Apache Storm Introduction – Architecture and Installation
Apache Storm Introduction – API and Topology