Certified Big Data Training - InfoObjects Inc.
from Saturday, January 21, 2017 10:00AM to Sunday, January 29, 2017 8:00PM
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Big Data Training InfoObjects offers Big Data (Hadoop and Spark) training classes at our HeadQuarters in Santa Clara, CA. Why get trained by us? Our program always evolves as technology does You can repeat the training program as many times as you would like Lifetime access to the latest slides and virtual machines More relevant content at half the price of competitors Both online and classroom options available Complimentary signed copy of Spark Cookbook by Packt Publishing written by Rishi Yadav Course completion certificate This training is primarily for techies who want to get into Big Data space. Our training is one comprehensive training which covers the whole spectrum of Big Data as you can see in course outline down below. The duration will be two consecutive weekends: January 21st: 8:00 AM - 5:00 PM January 22nd: 8:00 AM - 5:00 PM January 28th: 8:00 AM - 5:00 PM January 29th: 8:00 AM - 5:00 PM 8:00 – 8:30 AM – Free Breakfast + Coffee + Q/A session 9:50 AM – 10:00 AM – Break 12:00 – 1:00 AM – Free Lunch 2:50 PM – 3:00 PM – Break Frequently Asked Questions: Will There Be Job Opportunities afterwards? We are a consulting company and would love to help you get placed. Hands On? Yes! Theory and practice go hand-in-hand. Do I need to bring my own device? Yes! Please make sure your computer has at least 8GB of RAM. What is prerequisite for this course? You must have prior programming experience in your career. High Level Course Structure (aka 7 Course Hadoop Meal): Course 1: Hadoop Overview Why Hadoop? What is Hadoop? Hadoop Distributed File System (HDFS) Introduction to MapReduce Course 2: Hadoop Deep Dive Hadoop Architecture Developing a MapReduce Application MapReduce File I/O Features and Optimizations YARN Unit Testing MapReduce Programs Course 3: Hive & Pig Why Hive and Pig? Hive Overview Hive Usage Pig Overview Pig Usage Course 4: Flume, Sqoop & Oozie Flume Overview Flume Usage Sqoop Overview Sqoop Usage Hadoop Workflow JobControl Oozie Course 5: HBase and NoSql Limitations so far What’s needed? Challenges with RDBMS’s HBase overview HBase Usage Course 6: Apache Spark Spark Basics Introduction to Scala Spark Uage Mllib Course 7: Big Data Analytics & Visualization Introduction to Statistics Simple Linear Regression Data Science Overview Data Engineering Overview Machine Learning: Introduction Recommendation Engine Clustering Classification Data Visualization Appendix: Hadoop Administration Hardware Configuration Planning a Hadoop Cluster Installation Network Port Bonding Configuration and Settings Rack Topology You can always give us a call at Ph: 408-988-2000 Ext 151
InfoObjects Inc
2041 Mission College Blvd Suite 280, Santa Clara, 95054 Santa Clara USType: Eventbrite