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
HADOOP ADMINISTATION AND DEVELOPMENT TRAINING CURRICULUM 1. Introduction 1.1 Big Data Introduction What is Big Data Data Analytics Bigdata Challenges Technologies supported by big data 1.2 Hadoop Introduction
Big Data Course Highlights The Big Data course will start with the basics of Linux which are required to get started with Big Data and then slowly progress from some of the basics of Hadoop/Big Data (like
BIG DATA HADOOP TRAINING DURATION 40hrs AVAILABLE BATCHES WEEKDAYS (7.00AM TO 8.30AM) & WEEKENDS (10AM TO 1PM) MODE OF TRAINING AVAILABLE ONLINE INSTRUCTOR LED CLASSROOM TRAINING (MARATHAHALLI, BANGALORE)
Hadoop & Spark Using Amazon EMR Michael Hanisch, AWS Solutions Architecture 2015, Amazon Web Services, Inc. or its Affiliates. All rights reserved. Agenda Why did we build Amazon EMR? What is Amazon EMR?
1 Hadoop Job Oriented Training Agenda Kapil CK email@example.com Module 1 M o d u l e 1 Understanding Hadoop This module covers an overview of big data, Hadoop, and the Hortonworks Data Platform. 1.1 Module
COURSE CONTENT Big Data and Hadoop Training 1. Meet Hadoop Data! Data Storage and Analysis Comparison with Other Systems RDBMS Grid Computing Volunteer Computing A Brief History of Hadoop Apache Hadoop
EEDC Execution Environments for Distributed Computing 34330 Master in Computer Architecture, Networks and Systems - CANS Scalability Study of web apps in AWS Sergio Mendoza firstname.lastname@example.org
1) Introduction to BigData & Hadoop What is Big Data? Why all industries are talking about Big Data? What are the issues in Big Data? Storage What are the challenges for storing big data? Processing What
19.10.11 Amazon Elastic Beanstalk A Short History of AWS Amazon started as an ECommerce startup Original architecture was restructured to be more scalable and easier to maintain Competitive pressure for
Introduction to Cloudera Course ID: Page 1 Last Updated 12/15/2014 Introduction to Cloudera Course : This 5 day course introduces the student to the Hadoop architecture, file system, and the Hadoop Ecosystem.
BIG DATA SERIES: HADOOP DEVELOPER TRAINING PROGRAM An Overview Contents Contents... 1 BIG DATA SERIES: HADOOP DEVELOPER TRAINING PROGRAM... 1 Program Overview... 4 Curriculum... 5 Module 1: Big Data: Hadoop
Certified Big Data and Apache Hadoop Developer VS-1221 Certified Big Data and Apache Hadoop Developer Certification Code VS-1221 Vskills certification for Big Data and Apache Hadoop Developer Certification
Big-Data and Hadoop Developer Training with Oracle WDP What is this course about? Big Data is a collection of large and complex data sets that cannot be processed using regular database management tools
Last time General overview, motivation, expected outcomes, other formalities, etc. Please register for course Online (if possible), or talk to CS secretaries Course evaluation forgotten Please assign one
Cloudera Enterprise Reference Architecture for Google Cloud Platform Deployments Important Notice 2010-2015 Cloudera, Inc. All rights reserved. Cloudera, the Cloudera logo, Cloudera Impala, Impala, and
Using ArcGIS for Server in the Amazon Cloud Randall Williams, Esri Subrat Bora, Esri Esri UC 2014 Technical Workshop Agenda What is ArcGIS for Server on Amazon Web Services Sounds good! How much does it
Razvoj Java aplikacija u Amazon AWS Cloud: Praktična demonstracija Robert Dukarić University of Ljubljana Faculty of Computer and Information Science Laboratory for information systems integration Competence
Last time General overview, motivation, expected outcomes, other formalities, etc. Please register for course Online (if possible), or talk to CS secretaries Cloud computing introduction General concepts
Savanna Hadoop on OpenStack Sergey Lukjanov Savanna Technical Lead Mirantis, 2013 Agenda Savanna Overview Savanna Use Cases Roadmap & Current Status Architecture & Features Overview Hadoop vs. Virtualization
on AWS Services Overview Bernie Nallamotu Principle Solutions Architect \ So what is it? When your data sets become so large that you have to start innovating around how to collect, store, organize, analyze
Opsview in the Cloud Monitoring with Amazon Web Services Opsview Technical Overview Page 2 Opsview In The Cloud: Monitoring with Amazon Web Services Contents Opsview in The Cloud... 3 Considerations...
David Moses January 2014 Paper on Cloud Computing I Background on Tools and Technologies in Amazon Web Services (AWS) In this paper I will highlight the technologies from the AWS cloud which enable you
Data Security in Hadoop Eric Mizell Director, Solution Engineering Page 1 What is Data Security? Data Security for Hadoop allows you to administer a singular policy for authentication of users, authorize
Brochure More information from http://www.researchandmarkets.com/reports/2542488/ Professional Hadoop Solutions Description: The go-to guidebook for deploying Big Data solutions with Hadoop Today's enterprise
Pro Apache Hadoop Second Edition Sameer Wadkar Madhu Siddalingaiah Contents J About the Authors About the Technical Reviewer Acknowledgments Introduction xix xxi xxiii xxv Chapter 1: Motivation for Big
Fault-Tolerant Computer System Design ECE 695/CS 590 Putting it All Together Saurabh Bagchi ECE/CS Purdue University ECE 695/CS 590 1 Outline Looking at some practical systems that integrate multiple techniques
ENABLING GLOBAL HADOOP WITH EMC ELASTIC CLOUD STORAGE Hadoop Storage-as-a-Service ABSTRACT This White Paper illustrates how EMC Elastic Cloud Storage (ECS ) can be used to streamline the Hadoop data analytics
FOURTH EDITION Hadoop: The Definitive Guide Tom White Beijing Cambridge Famham Koln Sebastopol Tokyo O'REILLY Table of Contents Foreword Preface xvii xix Part I. Hadoop Fundamentals 1. Meet Hadoop 3 Data!
CLOUD COMPUTING WITH AWS An INTRODUCTION John Hildebrandt Solutions Architect ANZ AGENDA Todays Agenda Background and Value proposition of AWS Global infrastructure and the Sydney Region AWS services Drupal
Federal GIS Conference February 9 10, 2015 Washington, DC Using ArcGIS for Server in the Amazon Cloud Bonnie Stayer, Esri Amy Ramsdell, Blue Raster Session Outline AWS Overview ArcGIS in AWS Cloud Builder
Scalable Application Development on AWS Mikalai Alimenkou http://xpinjection.com 11.05.2012 Background Java Technical Lead/Scrum Master at Zoral Labs 7+ years in software development 5+ years of working
15-319 / 15-619 Cloud Computing Recitation 5 September 29 th & October 1 st 2015 1 Overview Administrative Stuff Last Week s Reflection Project 2.1, OLI Modules 5 & 6, Quiz 3 New concepts This week s schedule
Crypto-Options on AWS Bertram Dorn Specialized Solutions Architect Security/Compliance Network/Databases Amazon Web Services Germany GmbH Amazon.com, Inc. and its affiliates. All rights reserved. Agenda
Introduction to Amazon Web Services! Leo Zhadanovsky! @leozh email@example.com! Senior Solutions Architect AWS HISTORY About How didamazon Amazon Web Services! Deep experience in building and operating global
Service Organization Controls 3 Report Report on the Amazon Web Services System Relevant to Security For the Period April 1, 2013 March 31, 2014 Ernst & Young LLP Suite 1600 560 Mission Street San Francisco,
DevSummit DC February 11, 2015 Washington, DC ArcGIS for Server: In the Cloud Bonnie Stayer, Esri Session Outline Cloud Overview - Benefits - Types of clouds ArcGIS in AWS - Cloud Builder - Maintenance
AIST Data Symposium Ed Lenta Managing Director, ANZ Amazon Web Services Why are companies adopting cloud computing and AWS so quickly? #1: Agility The primary reason businesses are moving so quickly to
Course 10965B: IT Service Management with System Center Service Manager Course Details Course Outline Module 1: Service Management Overview Effective IT Service Management includes process driven methodologies
FACT SHEET BIG DATA & HADOOP DEVELOPER TRAINING & CERTIFICATION BIGDATA & HADOOP CLASS ROOM SESSION GreyCampus provides Classroom sessions for Big Data & Hadoop Developer Certification. This course will
Cloud Computing For Bioinformatics Cloud Computing: what is it? Cloud Computing is a distributed infrastructure where resources, software, and data are provided in an on-demand fashion. Cloud Computing
How AWS Pricing Works May 2015 (Please consult http://aws.amazon.com/whitepapers/ for the latest version of this paper) Page 1 of 15 Table of Contents Table of Contents... 2 Abstract... 3 Introduction...
Last time General overview, motivation, expected outcomes, other formalities, etc. Please register for course Online (if possible), or talk to Yvonne@CS Course evaluation forgotten Please assign one volunteer
One click Hadoop clusters - anywhere Janos Matyas, Senior Director of Engineering October, Page 1 2015 Overview Page 2 Introduction Goals and motivations Technology stack How it works Results/achievements/future
Cloud Computing and Amazon Web Services CJUG March, 2009 Tom Malaher Agenda What is Cloud Computing? Amazon Web Services (AWS) Other Offerings Composing AWS Services Use Cases Ecosystem Reality Check Pros&Cons
Understanding ArcGIS Deployments in Public and Private Cloud Marwa Mabrouk Agenda Back to Basics What are people doing? New Features Using ArcGIS in the Cloud - Private Cloud - Public Cloud Technical Demos
Introduction to DevOps on AWS David Chapman December 2014 Contents Contents Abstract Introduction Agile Evolution to DevOps Infrastructure as Code AWS CloudFormation AWS AMI Continuous Deployment AWS CodeDeploy
1. Computation Amazon Web Services Amazon Elastic Compute Cloud (Amazon EC2) provides basic computation service in AWS. It presents a virtual computing environment and enables resizable compute capacity.
Managing Your Microsoft Windows Server Fleet with AWS Directory Service May 2015 2015, Amazon Web Services, Inc. or its affiliates. All rights reserved. Notices This document is provided for informational
CLOUD COMPUTING PRACTICE 82 Chapter 9 PUBLIC CLOUD LABORATORY Hand on laboratory based on AWS Sucha Smanchat, PhD Faculty of Information Technology King Mongkut s University of Technology North Bangkok
Service Organization Controls 3 Report Report on the Amazon Web Services System Relevant to Security and Availability For the Period April 1, 2015 September 30, 2015 Ernst & Young LLP Suite 1600 560 Mission
Using Amazon EMR and Hunk to explore, analyze and visualize machine data Machine data can take many forms and comes from a variety of sources; system logs, application logs, service and system metrics,
Application Security Best Practices Matt Tavis Principal Solutions Architect Application Security Best Practices is a Complex topic! Design scalable and fault tolerant applications See Architecting for
Cloud computing - Architecting in the cloud firstname.lastname@example.org 1 Outline Cloud computing What is? Levels of cloud computing: IaaS, PaaS, SaaS Moving to the cloud? Architecting in the cloud Best practices
Deploying for Success on the Cloud: EBS on Amazon VPC Phani Kottapalli Pavan Vallabhaneni AST Corporation August 17, 2012 Agenda Amazon AWS Global Infrastructure AWS VirtualPrivateCloud(VPC) Architecture
Hadoop Ecosystem Overview CMSC 491 Hadoop-Based Distributed Computing Spring 2015 Adam Shook Agenda Introduce Hadoop projects to prepare you for your group work Intimate detail will be provided in future
Financial Services Grid Computing on Amazon Web Services January 2013 Ian Meyers (Please consult http://aws.amazon.com/whitepapers for the latest version of this paper) Page 1 of 15 Contents Abstract...
Scalability in the Cloud HPC Convergence with Big Data in Design, Engineering, Manufacturing July 7, 2014 David Pellerin, Business Development Principal Amazon Web Services What Do We Hear From Customers?
Hadoop Ecosystem B Y R A H I M A. History of Hadoop Hadoop was created by Doug Cutting, the creator of Apache Lucene, the widely used text search library. Hadoop has its origins in Apache Nutch, an open
Testing Tools using Visual Studio Randy Pagels Sr. Developer Technology Specialist Microsoft Corporation Plan REQUIREMENTS BACKLOG Monitor + Learn Development Collaboration Production Develop + Test Release
Postgres Plus Cloud Database! Presented by Dave Page! 22 nd March 2013! EnterpriseDB, Postgres Plus and Dynatune are trademarks of EnterpriseDB Corporation. Other names may be trademarks of their respective
Amazon EC2 Product Details Page 1 of 5 Amazon EC2 Functionality Amazon EC2 presents a true virtual computing environment, allowing you to use web service interfaces to launch instances with a variety of
IAN MASSINGHAM Technical Evangelist Amazon Web Services From 2014: Cloud computing has become the new normal Deploying new applications to the cloud by default Migrating existing applications as quickly
Thing Big: How to Scale Your Own Internet of Things Walter'Pernstecheremail@example.com' Dr.'Markus'Schmidbergerfirstname.lastname@example.org' Internet of Things is the network of physical objects or "things"
System Management Jonathan Cyr System Management Product Line Manager Udi Shagal Product Manager SiteScope Sudhindra d Tl Technical Lead Performance Manager 2010 Hewlett-Packard Development Company, L.P.
Course 10965B: IT Service Management with System Center Service Manager Page 1 of 9 IT Service Management with System Center Service Manager Course 10965B: 3 days; Instructor-Led Introduction This Three-day
Preparing Your IT for the Holidays A quick start guide to take your e-commerce to the Cloud September 2011 Preparing your IT for the Holidays: Contents Introduction E-Commerce Landscape...2 Introduction
ArcGIS 10.3 Server on Amazon Web Services Copyright 1995-2015 Esri. All rights reserved. Table of Contents Introduction What is ArcGIS Server on Amazon Web Services?............................... 5 Quick
Real Time Big Data Processing Cloud Expo 2014 Ian Meyers Amazon Web Services Global Infrastructure Deployment & Administration App Services Analytics Compute Storage Database Networking AWS Global Infrastructure
Deploying Hadoop with Manager SUSE Big Data Made Easier Peter Linnell / Sales Engineer email@example.com Alejandro Bonilla / Sales Engineer firstname.lastname@example.org 2 Hadoop Core Components 3 Typical Hadoop Distribution