Big Data and NoSQL for Developers
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The learning environment is best facilitates good with helpful staff and assisted location, the learning experience will bright up your day.
← | →
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The cloud course is really informative and recommendable.
← | →
Short course
Inhouse
Description
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Type
Short course
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Level
Beginner
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Methodology
Inhouse
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Duration
2 Days
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Start date
Different dates available
This course provides application developers with technical overview of Big Data as well as NoSQL (Not Only SQL) database systems. Effective use of NoSQL systems and understanding the appropriate ways of handling Big Data leads to the creation of the next-generation of high-performance and robust solutions.
Facilities
Location
Start date
Start date
About this course
Upon completion of this course, you will be able to:Defining Big DataBig Data Stores OverviewNoSQLBig Data Business Intelligence and AnalyticsGoogle App Engine InterfacesWorking with MongoDB
Technical leads and application developers
Participants should be familiar with programming in Java and using Eclipse development environment
This intensive training course aims at making students cognisant of NoSQL systems capabilities and how they can be leveraged.The course is supplemented by hands-on labs that help attendees reinforce their theoretical knowledge of the learned material and make them confident in applying the acquired knowledge in practice.
Reviews
-
The learning environment is best facilitates good with helpful staff and assisted location, the learning experience will bright up your day.
← | →
-
The cloud course is really informative and recommendable.
← | →
Course rating
Recommended
Centre rating
Alex Smith
Samuel L. Morison
This centre's achievements
All courses are up to date
The average rating is higher than 3.7
More than 50 reviews in the last 12 months
This centre has featured on Emagister for 6 years
Subjects
- Data Mining
- Database
- SQL
- Database training
- Systems
- Big Data
- Cloud
- MongoDB
- HIVE
- Pig
Teachers and trainers (1)
Bright Solutions
Trainer
Course programme
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1. 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?
2. 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
3. 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
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4. 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
5. 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
Big Data and NoSQL for Developers