Big Data Analytics Hadoop

Hadoop is an open-source software framework for storing datas and many running applications on clusters of commodity hardwares.

It provides the massive storage for any kind of datas, enormous processing power and the ability to maintain virtually limitless
concurrent tasks or jobs.

Topics Covered:

• Hadoop and Friends: Java/Python/Scala, Apache Hadoop, HDFS, Map Reduce, SQL, MySQL, Data Ware House, HBase, Pig, Hive, Oozie, Sqoop, Flume,Zookeeper, Junit/unittest, Git, PIP/Maven, Linux Commands and Shell Scripts
• Spark Data Pipeline: Spark, PySpark Spark-SQL, Spark-Streaming, Spark-ML, Machine Learning, Regressions, (Linear, Multi-Linear, Logistic), Clustering, K-Mean, KNN, NaiveBayes, Classification, Decision Trees, Random Forest
• Cloud Computing, AWS Hosting and Deployment, EC2, IAM, LSB, Load Balancer (LBS), Availability Group, Security Configuration, Docker, Kubernetes,
• New Gen Big Data Tools: Mahout, Recommendation, Storm, Flink, Samza,SAMOA, Apex, Beam, Tez: (as Per Batch conditions)