Big Data and NoSQL for Developers

5.0
2 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.
    |

Short course

Inhouse

£ 201-500

Description

  • Type

    Short course

  • Level

    Beginner

  • Methodology

    Inhouse

  • Duration

    2 Days

  • 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

Inhouse

Start date

Different dates availableEnrolment now open

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.

Questions & Answers

Add your question

Our advisors and other users will be able to reply to you

Who would you like to address this question to?

Fill in your details to get a reply

We will only publish your name and question

Reviews

5.0
  • 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.
    |
100%
4.8
excellent

Course rating

Recommended

Centre rating

Alex Smith

5.0
26/03/2019
About the course: The learning environment is best facilitates good with helpful staff and assisted location, the learning experience will bright up your day.
Would you recommend this course?: Yes

Samuel L. Morison

5.0
24/03/2019
About the course: The cloud course is really informative and recommendable.
Would you recommend this course?: Yes
*All reviews collected by Emagister & iAgora have been verified

This centre's achievements

2018

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

Bright Solutions

Trainer

Course programme


#text-block-10 { margin-bottom:0px; text-align:left; }

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

#text-block-11 { margin-bottom:0px; text-align:left; }

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

£ 201-500