Big Data and NoSQL Training Overview
This Big Data and NoSQL training course teaches developers how to build complex applications forprocessing large amounts of data. Attendees learn how to use NoSQL to create innovative, database-driven applications that scale, simplify, and manage their organization's data.
Location and Pricing
Accelebrate offers instructor-led enterprise training for groups of 3 or more online or at your site. Most Accelebrate classes can be flexibly scheduled for your group, including delivery in half-day segments across a week or set of weeks. To receive a customized proposal and price quote for private corporate training on-site or online, please contact us.
In addition, we offer some courses as live, instructor-led online classes for individuals.
Objectives
- Understand big data
- Transform data into business information
- Understand big data stores
- Work with NoSQL
- Understand big data business intelligence and analytics
- Use the Google app engine interfaces
- Work with MongoDB
Prerequisites
Participants must have modern Java programming experience.
Outline
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Defining Big Data
- Transforming Data into Business Information
- Definition of Big Data
- Challenges Posed by Big Data
- The Cloud and Big Data
- The Business Value of Big Data
- Big Data: Hype or Reality?
Big Data Systems Overview
- Limitations of Relational Databases
- NoSQL Database Systems
- The CAP theorem
- Limitations of NoSQL Databases
- Big Data Sharding
- Amazon S3
- Amazon S3 Security
- Data Lifecycle Management with Amazon S3
- Amazon S3 Cost Monitoring
- Google BigTable
- BigTable Design
- Google App Engine
- App Engine Billing
- Hadoop
- Hadoop Core Components
- Hadoop Distributed File System
- HBase
- HBase Design
- Cassandra
- Neo4J
- MemcacheDB
- MongoDB
- MongoDB Operational Intelligence
- MongoDB Use Cases
Big Data Business Intelligence and Analytics
- Comparison with Other Systems
- NoSQL Data Querying and Processing
- MapReduce Framework
- Analyzing Big Data with Hadoop
- Making things simpler with Pig Latin
- Example of a Pig Script in Batch Mode
- Amazon Elastic MapReduce
- Business Analytics with Hive
- The UnQL Specification
Working with Google App Engine
- Runtime Environments
- Development Environment
- Big Data in Google App Engine
- App Engine Datastore
- Google Cloud SQL
- Google Cloud Storage
- Blobstore
- Java Data Store API
- App Engine Services
- App Identity
- Memcache
- OAuth
- Task Queues
- URL Fetch
- XMPP
Working with MongoDB
- Drivers and Client Libraries
- MongoDB Data Model
- Administration Console
- Security and Authentication
- Data import and Export
- Managing MongoDB Lifecycles
- Read Operations
- Cursors
- Write Operations
- Querying, Limiting, Sorting, and Aggregating data
- MongoDB QL
- Optimizing Queries with Indexes
Conclusion
Training Materials
All No SQL and Big Data training students will receive comprehensive courseware.
Software Requirements
- Computer with Internet connectivity
- Ability to install software on the computer
- Recent 64-bit OS, such as Windows 10, macOS, or Linux
