Are you confused to choose which domain for your career path? Then, you can decide your career path by attending this workshop. This workshop helps to aware of Big Data and other trending technologies in the market. The main agenda of this workshop is to decide to choose Big data domain or other technologies according to your skill set.

Are you interested to learn or learning Big Data Hadoop course?

Hands on experience on big data Hadoop will also make you understand the theoritical concepts even better.

Attend the workshop and gain extensive knowledge on Big Data Hadoop which can enhance your career. Then, decide your valuable professional career!!

6 hours of session each day

This two-day, hands-on workshop will help you learn Big data & Hadoop Technologies with Hands-on modules. This will add a new set of technologies to your profile, creating more career opportunities for you.

Electronic Device Requirement: 3GB RAM, 64 bit, Windows7 (or) Mac, 40 GB HOD, Laptop Mandatory.

Topics:

DAY-2

Hands on experience on big data Hadoop projects will also make you understand the theoritical concepts even better.

Attend the workshop and gain extensive knowledge on Big Data Hadoop projects which can enhance your career.

The Projects details are below 

Project #1: Real Time Twitter Data Acquisition

Industry: Social media

Data: You can build a listening platform based on Twitter data analysis. If a company wants to understand what people think about their products or services and what the sentiments of their customers are, they can turn to social media platforms like Twitter. To extract the comments that are related to the company, its products or brands, Hadoop can be used to gather that data and run some analysis on that data. This kind of analysis is useful for the company for marketing campaigns and customer support. This will help curb dissatisfied customers leaving bad comments in social media which could affect their brand.

Project #2: Airline Data Analysis

Industry: Aviation

Data: Publicly available dataset which contains the flight details of various airlines such as: Airport id, Name of the airport, Main city served by airport, Country or territory where airport is located, Code of Airport, Decimal degrees, Hours offset from UTC, Time zone, etc.

Problem Statement: Analyze the airlines’ data to:

1. Find list of airports operating in the country
2. Find the list of airlines having zero stops
3. List of airlines operating with code share
4. Which country (or) territory has the highest number of airports?
5. Find the list of active airlines in the United States

Project #3: Data Analysis on Medicare Data.

Industry: Healthcare sector

Data:  To covert the semi-structured log data into structured data and storing it efficiently. To preprocess the stored access log datasets which includes removal of noisy data. Detailed analysis of web server logs to extract valuable information. To generate statistical reports using a report designer tool.

Are you ready to work on these projects in workshop?

Then, let join to our workshop and prepare your resume to more professional.

DAY-1:

What is Big Data and where it is produced?

• Why Big Data became so popular and market booming?
• Rise of Big Data
• Compare Hadoop vs traditional systems
• Limitations and Solutions of existing Data Analytics Architecture
• Attributes of Big Data
• Types of data
• Other technologies vs Big Data
• What is Hadoop?
• Hadoop History and Creation
• Hadoop 1.x vs Hadoop 2.x Architecture
• Distributing Processing System
• Core Components of Hadoop
• HDFS Architecture
• Hadoop Master – Slave Architecture
• Daemon types
• Learn NameNode, DataNode,
• Secondary NameNode
• Basic MapReduce API Concepts
• Writing MapReduce Driver, Mappers, and Reducers in Java
• Speeding Up Hadoop Development by Using Eclipse
• Unit Testing MapReduce Programs
• Word Count example
• Weather report use case
• What is Hadoop Cluster?
• Pseudo Distributed mode
• Type of clusters
• Hadoop Ecosystem
• PIG Architecture & Data types
• Shell and Utility components
• What is Hive?
• Hive DML – Load Files & Insert Data
• Hive Architecture & Components
• Difference between Hive and RDBMS

About Trainer:

The trainer has total of 7 years in software Industry and other various fields. He completed his Master degree and worked for top fortune companies in Germany. He is very enthusiastic to share his knowledge in different forms in present digital Market. By his creative, he launched the one-day workshop in Bangalore on Big Data Hadoop and sucessfully completed many workshops, offline and online courses. 

Who should attend: IT Professionals / Software Developers / Q&A Professionals / Team / Tech Leads / Project Managers / Decision Makers and Students who like to explore this technology.

Takeaways: A life-time access softwares and Hadoop learning material (e-books)

Please Note:

It is strongly recommended that you bring a Wi-Fi-enabled laptop (with windows OS) for a more hands-on experience.
Please follow Google Maps to avoid confusion in locating address.
Reach the venue 30 minutes prior to start time as there are many topics to cover.

Venue:

Sierra Cartel - Business Center,

No.91, 17th cross,, 14th main,

Sector-4, HSR layout,Sector 4, HSR Layout,

Bengaluru, Karnataka 560102, India

(Near BDA complex in HSR layout )