Mountain View Big Data & Hadoop Training [June 2-June 24, 2018] IT Training Weekends
Features & Benefits 8 sessions, each session of 2 hours spread over 4 weeks 16 hours of LIVE Instruction spread over 4 weeks Training material with lab exercises provided Each session is recorded and recordings are provided to students over Microsoft Cloud Student Reviews AJ, Deputy CIO, City of Phoenix - Well published labs, class notes and videotaping of all classes. (evaluation score 4.9/5.0) Henry Figueroa, Business Analyst - Great job! I cannot sign up for your upcoming hacking course and others due to another scheduled training commitment, but will consider future schedules as they come. (evaluation score 4.95/5.0 Course dates: June 2 - June 24, 2018 Weekly Schedule Saturday and Sunday, every week 8:00 AM - 10:00 AM (US Pacific Standard Time) each day Please confirm your local time Video Conference Link Will be sent upon registration and payment Training Provider: Omni212 Omni212 Latest Schedule https://www.omni212.com/services/training/it-training-schedule/ Why Big Data Training from Omni212? 1. Omni212 is a Hortonworks Hadoop Consulting Partner. 2. Certifed Hadoop instructors teach this class. 3. Cloud account on Microsoft Azure with Hands-on lab exercises under the guidance of two experienced big data, hadoop instructors. 4. Post class support and access to class materials on the cloud available for one year. 5. Career advancement and Job placement assistance 6. Course completion certificate available upon request. Prerequisite Desired but not required - exposure to, working proficiency of BI, sql, scripting, how to handle and manage data and databases, using Excel. Training Details Every session will have presentation about theory, concepts and technology, followed by Hands-on Lab practice exercises. Each student will have access to a login account on the cloud, Microsoft Azure, where they can install Hadoop on a cloud virtual machine and perform hands-on lab exercises with instructor guidance. There will be two experienced big data, hadoop instructors supporting the students throughout the class. Each session will be recorded and the recordings will be shared after each session with students. Class recordings, training manuals and lab material will be available to students for one year after the date of completion of the course. Course Outline Session 1: Big Data Basics • An Introduction to Big Data? • Why Big Data? Why now? • The Three Dimensions of Big Data (Three Vs) • Evolution of Big Data • Big Data versus Traditional RDBMS Databases • Big Data versus Traditional BI and Analytics • Big Data versus Traditional Storage • Key Challenges in Big Data adoption • Benefits of adoption of Big Data • Introduction to Big Data Technology Stack • Apache Hadoop Framework • Introduction to Microsoft HDInsight – Microsoft’s Big Data Service Hands-On Lab: • Creating Azure Storage Account • Creating HDInsight Cluster • Using services on HDInsight Cluster Session 2: The Big Data Technology Stack • Basics of Hadoop Distributed File System (HDFS) • Basics of Hadoop Distributed Processing (Map Reduce Jobs) Hands-On Lab: • Loading files to Azure storage account • Moving files across HDInsight Cluster • Remote Access to Azure Storage Account and HDInsight Cluster Session 3: Deep dive into Hadoop Storage System (HDFS) (1 Hour) • HDFS • Reading files with HDFS • Writing files with HDFS • Error Handling Hands-On Lab: • Accessing Hadoop configuration files using HDInsight Cluster Session 4: Processing Big Data –MapReduce and YARN • How MapReduce works • Handling Common Errors • Bottlenecks with MapReduce • How YARN (MapReduceV2) works • Difference between MR1 and MR2 • Error Handling Hands-On Lab: • Running a simple MapReduce application (word count) • Running a custom MapReduce application (census data) • Running MapReduce via PowerShell • Running a MapReduce application using PowerShell • Monitoring application status Session 5: Big Data Development Framework • Introduction to HIVE • Introduction to PIG • HBase Hands-On Lab: •
Online - please disregard address & map locations.
Mountain View, CA
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