Overview
Big Data and Hadoop from KnowledgeHut provides the much-needed power that is required to manage such situations to handle Big Data.
Based on data produced by Wanted analytics it was found out that the top five industries hiring Big Data related expertise include Professional, Scientific and Technical Services (25%), Information Technology (17%), Manufacturing (15%), Finance and Insurance (9%) and Retail Trade (8%).
Students at Big Data and Hadoop from KnowledgeHut will:
- Get a deeper knowledge of various Big Data frameworks;
- Hands-on learning on Big data Analytics with Hadoop;
- Projects related to banking, governmental sectors, e-commerce websites, etc;
- Learn to extract information with Hadoop MapReduce using HDFS, Pig, Hive, etc.;
- Upgrade their career in the field of Big data.
Programme Structure
Courses included:
- Big Data and Hadoop
- Big Data Ecosystem
- Hadoop Cluster Configuration
- Big Data Processing with MapReduce
- Batch Analytics with Apache Spark
- Real Time Analytics with Apache Spark
- Analysis using Pig
- Analysis using Hive Data Warehousing Infrastructure
- Working with HBase
Key information
Duration
- Part-time
- 10 days
Start dates & application deadlines
- Not specified
Language
Delivered
Campus Location
- Delaware, United States
- Adelaide, Australia
- Singapore, Singapore
Disciplines
Data Science & Big Data View 468 other Short Courses in Data Science & Big Data in United StatesWhat students do after studying
Academic requirements
We are not aware of any specific GRE, GMAT or GPA grading score requirements for this programme.
English requirements
We are not aware of any English requirements for this programme.
Other requirements
General requirements
- Before undertaking a Big Data and Hadoop course, a candidate is recommended to have a basic knowledge of programming languages like Python, Scala, Java and a better understanding of SQL and RDBMS.
Tuition Fees
Additional Details
- Not specified