1 HADOOP BIG DATA DEVELOPER TRAINING AGENDA About the Course This course is the most advanced course available to Software professionals This has been suitably designed to help Big Data Developers and experts to undergo a lab bases training to implement Big Data on Hadoop ecosystem. It covers all major components of Big Data Ecosystem. In this course, for every concepts, participants will be made to do a live demo in virtual machine in their own laptops/systems. By Completing this course participants will Understand on Big Data is a combination of essential fundamentals, practical techniques, hands-on sessions on Hadoop and other technology in Big Data ecosystem, and case studies to cement all this together. Understand fundamentals of Big Data Know what Big Data and its ecosystem is all about Get an understanding on Big Data ecosystem Identify problem areas that can be tackled by Big Data ecosystems Effectively use and choose most appropriate Big Data tools in its ecosystem to solve Big Data problems Define and lead Big Data related projects in your organizations Topics Covered What is Big Data and Introduction Hadoop Introduction and Architecture MapReduce and HDFS Introduction, Basics and Advanced concepts Apache pig and pig - Latin Apache Hive setup, basic and advanced concepts. Introduction to NoSQL and HBase YARN Introduction Other trending technologies Duration 5 Days (Can be calibrated/customised on request) With 2 short break of 15 mins each and a 30 mins lunch break
2 Q&A session on the flow and during re-cap Note: Evaluation at the end of the day. Re-cap post each session Pre-Requisites Laptop/Desktop with 6GB ram and Internet connection Presentation ecosystem (Projector, ppt etc.). Practical sessions Infra requirements (will be shared) Aligned Certificates This course is aligned to Cloudera Certified Developer for Apache Hadoop (CCDH). Quiz, Demo, Ready reckoner will help you to get deep understand on concepts that would be tested over this certification. Post completing the course successfully, you will be prepared to take the certification exam. Ref : Deliverables PPT of the course (soft copy) Ready reckoner Guide Virtual machine to do the handson Industry specific use case Demo guide Other Modules offered which can be added / replaced HBase and Advanced Concepts Introduction to Storm and concepts Introduction to Apache Spark, Spark Streaming and its components Introduction to Sqoop Introduction to Flume
3 Detail Agenda Day 1 Day 3 Introduction to BigData? Why BigData? Introduction to SMAC Stack Introduction to Cloud Problem being faced in traditional system 3Vs of BigData Challenges in BigData Introduction to BigData Ecosystem Introduction to Hadoop Different Daemons/Components and its Purpose Roles and Responsibility of NN/SNN/DN Hadoop Installation in Cloud / VM Introduction to Pig Latin Different modes of execution Anatomy of Pig Execution Different Functions of Pig Using Grunt Shell Use of DESCRIBE / EXPLAIN / ILLUSTRATE User Defined Function Introduction to Hive Where and when to use Hive Types of Tables in Hive Hive Partition, Buckets HiveJoins and SubQuery MapSide Join, Reduce Side Join Day 2 Day 4 Typical Cluster Setup What and how with HDFS and Commands File Read and Write Introduction, What, How of MapReduce Architecture of MapReduce Different Data Types Eclipse Environment Setup Map and Reduce in Details with Code Writing custom Map and Reduce program Partitioners and Combiners Introduction to HBase Introduction to Cloudera & HDP YARN and Generation 2 Hadoop Administration and Configuration Advanced features of MapReduce - Counters, Cache Oozie and Functions MRUnit Day 5 Introduction to Spark Introduction to Elastic Map Reduce in AWS Real world use cases Introduction to Flume Future of Big Data Introduction to NoSQL o Key Value Pairs o Column Family Database o Document Database o Graph Database
4 About the course AMAZON WEB SERVCIES TRAINING (CLOUD) This course introduces AWS products, services, and common solutions with demos, knowledge checks, and hands-on lab activities. It provides learners with the basic fundamentals to become more proficient in AWS and empowers them to make informed decisions about IT solutions based on business requirements. It is designed to teach Solution Architects how to optimize the use of the AWS Cloud by understanding AWS services and how these services fit into a cloud solution. It also covers the best practices, cost optimization and lessons learned. By Completing this course participants will Recognize various terminology and concepts as they relate to the AWS platform Navigate the AWS Management Console / Services offered Understand the security measures AWS provides Recognize AWS Compute and Networking options and use Amazon Elastic Compute Cloud (EC2) and Amazon Elastic Block Storage (EBS) Differentiate AWS Storage options and create an Amazon S3 bucket Describe Managed Services and Database options Use Amazon Relational Database Service (RDS) to launch an application Identity and Access Management(IAM) and VPC Identify Deployment and Management options Topics Covered AWS Introduciton Elastic Compute Cloud (EC2) Elastic Block Storage (EBS) Simple Storage Service (S3) Auto Scaling and Load Balancer(ELB). Virtual Private Cloud (VPC) Relational Data Service (RDS) Cloud Formation Ops Works (Dev Ops) DynamoDB / Glacier
5 Cloud Front Identity and Access Management (IAM) Cloud Watch Elastic Bean Stack (EBS) Duration 4 Days (Can be calibrated on request) With 2 short break of 15 mins each and a 30 mins Lunch break Q&A session on the flow and during re-cap Note: Evaluation at the end of the day. Re-cap post each session Pre-Requisites Laptop/Desktop with Internet connection Presentation ecosystem (Projector, ppt etc.). Free account with AWS. (Credit card required to register) Aligned Certificates This course is aligned to AWS Certified Solution Architect - Associate. Quiz, Demo, Ready reckoner will help you to get deep understand on concepts that would be tested over this certification. After completing the course successfully, you will be in a position to take the certification confidently. Ref : Deliverables PPT of the course Ready reckoner Industry specific use case Demo guide Other Modules offered which can be added / replaced Elastic Map Reduce (EMR) Application Hosting and Deployment
6 Detail Agenda Day 1 Day 3 Introduction to cloud Computing o Definition and concept o Cloud computing and virtualization o Cloud service Models o Cloud Service Providers AWS Introduction o AWS history o AWS Service models o AWS Account creation and registration AWS Compute and Networking : EC2 o EC2 : Dashbord, Events Tags o EC2 : Instances, Spot request, Reserved and On-Demand Instances o EC2 Images : AMI and Bundle o EC2 EBS: Volume and Snapshot o EC2 Network and Security: Security groups, Elastic IPs, Load Balancer, Key pairs o EC2 : Create, Stop, Reboot and Terminate o Deployment of Web Server on EC2 o Connectivity of Windows and Linux instances from desktop o Common issues and errors faced o Case Study Virtual Private Cloud o Virtual private cloud concept o Deployment of EC2 in VPC o Connectivity to EC2 o Different types of VPC models o Network policies Cost Optimization principles o Economics o Simple Calculator o TCO Calculator o Cost Calculation Architecture and Best Practices o High available Architecture o Disaster Recovery Planning o Scalable Architecture o low cost Architecture with EC2, S3, etc., Day 2 Day 4 Amazon S3 (Simple Storage Service) o CRUD operation bucket o Connecting S3 through S3 Clients o Policies on S3 o Public and private objects Amazon RDS (MYSQL) o Start and Stop RDS o Connecting MSSQL using client o Backup of RDS o Performance optimization of RDS o Best practices Elastic Load balancing and Autoscaling o Elastic load balancing policies o Monitor HTTP Protocol o Types of Elastic Load balancing o Launch Configuration o Autoscaling Groups Security Other Services IAM o Users, Roles and Groups o Access Persmission o EC2 Roles Cloudwatch o Standard and Detail Monitoring o Alarms o Biling alerts CloudFront o Edge location Cloud Formation o Wordpress deployment Elastic BeanStack Elastic Mapreduce OpsWorks
8 Diagnostic tools & Performance tuning best practices Lab (1 hour) - Sample Best practices for Performance tuning Day 3 Module 5: Configuration - Server (6 hours) Objectives - Forms, Views, Lists, Server side scripting I Server side Glide Classes Overview GlideRecord, GlideElement, GlideSystem, GlideAggregate, GlideDateTime Business Rules, Script Includes Lab (3 hours) - Create Business Rule, Create Script Include Day 4 Module 5: Configuration - Server (3 hours) Objectives - Server side scripting II, Best practices Scripting, Inbound Actions UI Actions, Scheduled Jobs Transform Scripts, Best practices Lab (1.5 hours) - Create Inbound Action, Create Import Set Module 5: Configuration - Client (3 hours) Objectives - Forms, Views, Lists, Client side scripting I Client side Glide Classes Overview GlideForm, GlideUser, GlideMenu Client Scripts, UI Policies Lab (1.5 hours) - Create new Client Script, Create UI Policy Day 5 Module 5: Configuration - Client (6 hours) Objectives - Client side scripting II, Best practices GlideAjax, GlideDialogWindow Catalog Client Scripts & Catalog UI Policies UI Actions, UI Context Menus UI Pages, UI Macros Jelly scripting, Best practices Lab (3 hours) - Create Dialog Window using UI Action
10 Day 4 Module 2: Configuration - Server (6 hours) Objectives - Server side scripting II, Best practices Scripting, Inbound Actions UI Actions, Scheduled Jobs Transform Scripts, Best practices Lab (3 hours) - Create Inbound Action, Create Import Set
11 ServiceNow System Administration (24 hours) Objectives This course is designed for system administrators who are new to ServiceNow ecosystem. During this 4-day interactive training course attendees will implement various system administration functions in their own instance, learning to perform fundamental administration and configuration tasks. Prerequisites 3 to 6 months hands-on experience in ServiceNow recommended Basic knowledge in ITIL framework preferred Day 1 Module 1: Core Configuration, CMDB (3 hours) Objectives - Introduction, Architecture, UI, Forms, Applications, Modules, CMDB Introduction to ServiceNow & technologies used by ServiceNow User Interface components and navigation Personalize Forms, List & Create Applications, Modules Basic CMDB, Configuration Items (CI), Business Service Maps (BSM) Lab (1.5 hours) - Add Bookmark, Edit Self Service Filters, Create new Table Module 2: Homepages, Security Methodology (3 hours) Objectives - Homepages, Security, Plugins Create & Edit Homepages, Activate Plugins Contextual Security, High Security Plugin, Access Control Lists (ACLs) Lab (1.5 hours) - Refresh Homepages, Activate a Plugin and Create ACLs Day 2 Module 3: User Administration (2 hours) Objectives - Users, Groups, Delegates, Roles Create Users, Groups, Assignment Rules and Delegates Group membership, Types of Roles, Create Roles Lab (1 hour) - Create new Group, Create new Role, Grant Roles and Set delegates Module 4: Service Administration (4 hours) Objectives - Service Level Management, Gauges, Reports, Notifications, Social IT SLA, OLA & Underpinning Contract, Basic Reports configuration Events, Properties, Notifications, templates ServiceNow Chat & Live feed social components Lab (2 hours) - Notifications, Create new SLA, Bar Chart for Open Incidents
12 Day 3 Module 5: Process Applications (3 hours) Objectives - Knowledge Base, Service Catalog, Order Guides Lifecycle of Knowledge Base, Search & View Articles Service Catalog Management, Create Variables, Variable Sets, Order guides Lab (1.5 hours) - Create & Publish Article, Create New Service Catalog Module 6: Record Producers, Workflows (3 hours) Objectives - Record Producer, Workflows Create Record Producers, Workflows, Workflow activities & administration Lab (1.5 hours) - Create new Workflow with 1 level of Approval Day 4 Module 7: Core Application Administration (3 hours) Objectives - Update Sets, System Upgrades Customization basics, Update Set concepts, Best practices Release Lifecycle concepts, System Upgrades Lab (1.5 hours) - Create, Complete, Retrieve, Preview and Commit Update Set Module 8: Manage Data with Import Sets (3 hours) Objectives - Import Sets, Transform Maps, Scheduled Jobs Data Import Sets, Transform Maps, Export & Import XML Scheduled Jobs, Scheduling Reports, Data Imports Lab (1.5 hours) - Transform Excel Sheet data, Schedule Reports weekly once
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