Course description

Lecture Details


This is Part 2 of 6 week Hadoop Administration course. The 3hr Interactive live class covers main features of Hadoop 2.x and What has changed in Hadoop 2.x over Hadoop 1.x? We also understand the details of Hadoop Distributed File System ( HDFS). The Tutorial covers in detail about Name Node, Data Nodes, Secondary Name Node, Active-Passive NameNode, YARN, MRv2 and MRv1, Resource and Node Manager and Hadoop Cluster Configuration. It goes into the details of Hadoop 2.x, Hadoop Configuration Files, Plan your Hadoop Cluster Hardware and software Considerations, Popular Hadoop Distributions. More details are below
Welcome, Lets Get Going on our Hadoop Journey...

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How it Works?

1. This is a 6 Week Instructor led Online Course.
2. We have a 3-hour Live and Interactive Sessions every Sunday.

3. We have 3 hours of Practical Work involving Lab Assignments, Case Studies and Projects every week which can be done at your own pace.

What will i learn?

Requirements

skill expert

Free

Lectures

19

Skill level

Beginner

Expiry period

Lifetime

Certificate

Yes

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Overview In this course, we first provide a comprehensive overview of memory systems, taking an approach that covers both fundamentals and recent research. We first introduce fundamental principles and ideas, covering DRAM and emerging memory technologies as well as many architectural concepts and ideas related to memory organization, memory control, processing-in-memory, and memory latency / energy / bandwidth / reliability / security / QoS. We discuss major challenges facing modern memory systems (and the computing platforms we currently design around the memory system) in the presence of greatly increasing demand for data and its fast analysis. We examine some promising research and design directions to overcome these challenges. On the research-related part of course (sprinkled across topical lectures), we discuss the following key research topics in detail, focusing on both open problems and potential solution directions: Fundamental issues in memory reliability and security and how to enable fundamentally secure, reliable, safe architectures Enabling data-centric and hence fundamentally energy-efficient architectures that are capable of performing computation near data Reducing both latency and energy consumption by tackling the fixed-latency/energy mindset Enabling emerging memory technologies Enabling predictable and QoS-aware memory systems Research challenges and opportunities in enabling emerging NVM (non-volatile memory) technologies Scaling NAND flash memory and SSDs (solid state drives) into the future

Free

22:36:25 Hours