Big Data Fundamentals Training
Intellipaat
Course Summary
Our Big Data fundamentals training course lets you master the technique of Big Data processing, storing, and deploying in an enterprise scenario. We provide the best online classes to learn Hadoop ecosystem, HDFS, MapReduce, Hive, Sqoop, Pig, Sqoop, Spark, Storm, ZooKeeper. Work on critical Big Data real world projects.
-
+
Course Description
This is a beginner’s course in the field of Big Data. In this training you will get a clear understanding of what Big Data is, what its composition is, how Hadoop is the best tool to work on Big Data, the various components of the Hadoop ecosystem like MapReduce, HDFS, HBase, Hive, Pig, Sqoop, Spark, Storm, Scala and other tools and technologies.About Big-Data Fundamentals Training for Beginners Course
What you will learn in this training course?
- Introduction to Big Data and its characteristics
- Examples of Big Data
- Introduction to Hadoop & its functioning
- Learning to install Hadoop on a single node
- Introduction to the Hadoop Architecture
- HDFS & Hadoop Cluster management
- MapReduce – Mapper, Reducer & example of Word Count
- Learning about Hive, Pig, Mahout, Cassandra
- Apache Spark, Scala & Storm
- Splunk machine learning
Who should take this training course?
- IT, mainframe, data professionals
- Project managers, software architects and administrators
- Those aspiring for a career in Big Data and Hadoop
What are the prerequisites for taking this training course?
Anybody can take this training course regardless of their skill sets.Why should you take this training course?
- Global Big Data market to reach $122B in revenue by 2025 – Frost & Sullivan
- 75% of Companies Are Investing or Planning to Invest in Big Data by 2017 – Gartner
- A Big Data Architect in the United States can earn up to $139,000 – indeed.com.
-
+
Course Syllabus
Big Data Fundamentals Course Content
Introduction Big dataBig Data and its importance, What is Distributed systemExamples of Big DataCharacteristics of Big Data, Introduction to Hadoop and its works, Examples of Big DataHadoop UsesWhat is Hadoop and How Hadoop workInstallation HadoopInstallation of Single Node Apache HadoopHadoop ArchitectureSession 1What is HDFSSession 2Planning Hadoop cluster & Hardware ConsiderationsSession 3Hadoop Cluster MaintenanceMapreduceWhat is map reduce, Example program: Word count, Map phase, Shuffle and sort, Reduce phase, Name nodeHiveHive introduction, What is Hive, Origin of Hive, Hadoop based system, Where we not useMahoutSession 1Intro to Mahout, Fundamentals of Machine LearningSession 2What is Classified, Classification, Clustering, Recommendation, Pattern MiningCassandraSession 1What is Cassandra, Who develop Cassandra, Non-relational, What is eventually consistentSession 2Intro to No Sql and comparison with RDBMS, Comparison of RDMS and problems of RDBMSSAP HANAOLTP, OLAP, SAP BW, SAP BW with BWA, SAP In memory Strategy, SAP HANA compare with BWASparkWhat is Spark and Architecture of Spark, Use of Spark, Component of Spark, Comparison with hadoopScalaSession 1What is Scala, Uses of ScalaSession 2Advantage of Scala, How scala solve problems of Java and C etc, Architecture of Scala, Spark coding using scalaSplunkWhat is splunk?, Splunk latest version & OS supported., What does splunk do?, What does splunk provide?
This course is listed under
Open Source
, Development & Implementations
, Enterprise Applications
, Industry Specific Applications
, Data & Information Management
and Networks & IT Infrastructure
Community
Related Posts:
