MapReduce Online for Intermediate trainees by BKV Learning Systems

2 months of paid in-house internship Program.
Learning Track 01 Bigdata Analytics
- Data Analytics Overview
- Understanding Data and Business
Intelligence.
- Big Data Hadoop and Data Analytics
- Hortonworks Data Platform (HDP)
- Apache Ambari
- Hadoop and the HDFS File System
- Advanced Java for Spark & Scala
- MapReduce and YARN
- Apache Spark Storing and Querying data
- ZooKeeper, Slider, and Knox
- Loading data with Sqoop Data
- Plane Service and Stream Computing
Learning Track 02
• Data Science essentials
• Drew Conway’s Venn diagram
• The Scientific Process applied to Data
Science.
• The steps in running a Data Science
project
• Learning Languages used for Data
Science (Python, R, Scala, Julia )
• Learning advanced Python
• Resources for Data Science, including
GitHub Jupyter Notebook
• Essential packages: NumPy, SciPy,
Pandas, Scikit learn, NLTK,
BeautifulSoup...
• Data visualizations: matplotlib, PixieDust
• Using Jupyter “Magic” commands
Learning Track 03
• Learning Mongo DB using Big SQLto
access HDFS data
• Creating schemas and querying tables
• Configuring Big SQL security & Data
federation with Big SQL
Learning Track 04
• IBM Watson Studio
• Analyzing data with Watson Studio