DataOpt Solutions

06/03/2019

Test.

24/07/2015

Dataopt solutions have started Hadoop e-training. e-training offers full-length courses on a range of Big Data Hadoop technologies for developers, data analysts and data Science by DataOpt Solutions. Designed in a format that meets your convenience, availability and flexibility needs, these courses will lead you on the path to becoming a certified Hadoop professional. e-training includes details course contents, Quiz, Questions and Answers on specific topics like Big Data concepts, HDFS, Map-Reduce, Hive, Pig, HBase, NoSQL, Sqoop, Oozie, Flume etc. and question bank for Big Data-Hadoop developer jobs interview.

http://www.dataoptsol.com/elearning.html

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20/07/2015

Schedule of New batches

20/07/2015

It’s been said that Data Scientist is the“sexiest job title of the 21st century.” Why is it such a demanded position these days? The short answer is that over the last decade there’s been a massive explosion in both the data generated and retained by companies, as well as you and me. Sometimes we call this “big data,” and like a pile of lumber we’d like to build something with it. Data scientists are the people who make sense out of all this data and figure out just what can be done with it. data scientist is someone who does the following tasks:

1. Data analysis
2. Modeling/statistics
3. Engineering/prototyping

To full fill these demand, dataopt solutions started new course on data science

20/07/2015

New course introduce based on demand on data Analytic

20/07/2015

Improved course for Big data-Hadoop eco-system

14/06/2015

Why Data Science

14/06/2015

Become member of Big Data Science Group

07/06/2015

We are starting a new classroom weekend batch on Hadoop and Big data from 13-June-2015, this Saturday a weekday batch from 10-June-2015.
You can still enroll for this batch but please hurry up before all seats are booked.
Enroll and get ahead from your peers in this appraisal season.
Please note that there is no need to have Java knowledge to be able to attend this course.
We will teach you from the basics and our main focus is on Hadoop eco-system tools which are the most used tools in Big Data Industry.
To know more about this you can call us at +040 40037316 or visit: http://www.dataoptsol.com/
Learn about Big Data and why is it becoming so important now days.
Introduction to Big Data, Hadoop and Data Science
Challenges of Big Data
Business Intelligence & Data Analysis
Data Mining & Machine Learning
Hadoop Architecture & Other Architectures
Technologies supporting Big Data
Hadoop Eco-System
Use cases of Hadoop
Fundamental Design Principles of Hadoop
Understand Hadoop Cluster Architecture & Map Reduce
Hadoop Cluster & Architecture
Daemons
Rack Awareness & Cluster Balancing
Map Reduce Overivew
Log Processing and Map Reduce
Advanced Map Reduce Concepts
Hadoop 2.0 Yarn
Hadoop 1.0 Challenges
Hadoop 2.0 New Features
Hadoop 2.0 Cluster Architecture & Federation
Hadoop 2.0 HA
Yarn & Hadoop Ecosystem
Yarn MR Application Flow
PIG
Multi-Dataset Operations with Pig
Techniques for Combining Data Sets
Hive Fundamentals & Architecture
Hive Architecture and Installation
HiveQL: Data Types, Operators and Functions,
HBase Architecture and concepts
SQOOP
Flume & Oozie
Hadoop Project in Banking Domain
Hadoop Project in Telecom Domain
Hadoop Project in Sentimental Analysis
Hadoop Project in Sentimental Analysis & ETL Offloading
Hadoop Project in Healthcare

Data Opt Solutions

07/06/2015

Hadoop & Data Science contents.
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Batch started for Data Science for weekdays and weekend.

Module 1 Introduction tp Big Data, Hadoop and Data Science
What is Big Data and Hadoop?
Challenges of Big Data
Traditional approach Vs Hadoop
Analytics Value Chain
Business Intelligence & Data Analysis
Data Mining & Machine Learning
Hadoop Architecture & Other Architectures
OLTP vs OLAP
Distributed Model
Block structure File System
Technologies supporting Big Data
Replication
Fault Tolerance
Why Hadoop?
Hadoop Eco-System
Use cases of Hadoop
Fundamental Design Principles of Hadoop
Comparison of Hadoop Vs RDBMS

Module 2 Understand Hadoop Cluster Architecture & Map Reduce
Hadoop Cluster & Architecture
5 Daemons
Typical Workflow
Writing Files to HDFS
Reading Files from HDFS
Rack Awareness & Cluster Balancing
Before Map Reduce

Map Reduce Overivew
Word Count Problem
Word Count Flow & Solution
Map Reduce Flow
Log Processing and Map Reduce
What is Mapper?
What is Reducer?
What is Shuffling?

Module 3 Advanced Map Reduce Concepts
What is Combiner?
What is Partitioner?
What is Counter?
InputFormats/Output Formats
Map Join using MR
Reduce Join using MR
MR Distributed Cache
Using sequence files & images with MR
Module 4 Hadoop 2.0 Yarn
Hadoop 1.0 Challenges
NN Scalability
NN SPOF & HA
Job Tracker Challenges
Hadoop 2.0 New Features
Hadoop 2.0 Cluster Architecture & Federation
Hadoop 2.0 HA
Yarn & Hadoop Ecosystem
Yarn MR Application Flow

Module 5 PIG
Introduction to Pig
What Is Pig?
Pig’s Features & Pig Use Cases
Interacting with Pig
Basic Data Analysis with Pig
Pig Latin Syntax
Loading Data
Simple Data Types
Field Definitions
Data Output
Viewing the Schema
Filtering and Sorting Data
Commonly-Used Functions
Hands-On Exercise: Pig for ETL Processing
Processing Complex Data with Pig
Storage Formats
Complex/Nested Data Types
Grouping
Built-in Functions for Complex Data
Iterating Grouped Data
Hands-On Exercises
Multi-Dataset Operations with Pig
Techniques for Combining Data Sets
Joining Data Sets in Pig
Splitting Data Sets
Hands-On Exercise

Module 6 HIVE
Hive Fundamentals & Architecture
Loading and Querying Data in Hive
Hive Architecture and Installation
Comparison with Traditional Database
HiveQL: Data Types, Operators and Functions,
Hive Tables ,Managed Tables and External Tables
Partitions and Buckets
Storage Formats, Importing Data, Altering Tables, Dropping Tables
Querying Data, Sorting and Aggregating, Map Reduce Scripts,
Joins & Sub queries, Views
When to Use HIVE, Impala and Pig
Hands on Exercises
Integration, Data manipulation with Hive
User Defined Functions,
Appending Data into existing Hive Table
Static partitioning vs dynamic partitioning

Module 7 HBASE
CAP Theorem
HBase Architecture and concepts
Introduction to HBase
Client API's and their features
HBase tables The ZooKeeper Service
Data Model, Operations
Programming and Hands on Exercises

Module 8 SQOOP
Introduction to Sqoop
MySQL Client & server
Connecting to relational data base using Sqoop
Importing data using Sqoop from Mysql
Exporting data using Sqoop to MySql
Incremental append
Importing data using Sqoop from Mysql to hive
Exporting data using Sqoop to MySql from hive
Importing data using Sqoop from Mysql to hbase
Using queries and sqoop

Module 9 Flume & Oozie
What is Flume?
Why use Flume, Architecture, configurations
Master, collector, Agent
Twitter Data Analysis project

Module 10 Oozie
What is Oozie, Architecture, configurations?
Oozie Job Submission
Oozie properties
Hands on exercises

Module 11 Project in Banking Domain
Hadoop Project in Banking Domain
Objective
Problem Definition
Solution
Discuss data sets and specifications of the project.

Module 12 Project in Telecom Domain
Hadoop Project in Telecom Domain
Objective
Problem Definition
Solution
Discuss data sets and specifications of the project.

Module 13 Project in Sentimental Analysis
Hadoop Project in Sentimental Analysis
Objective
Problem Definition
Solution
Discuss data sets and specifications of the project.

Module 14 Project in Sentimental Analysis & ETL Offloading
Hadoop Project in Sentimental Analysis & ETL Offloading
Objective
Problem Definition
Solution
Discuss data sets and specifications of the project.

Module 15 Project in Healthcare
Hadoop Project in Healthcare
Objective
Problem Definition
Solution
Discuss data sets and specifications of the project.

31/05/2015

Campus Interview