Get a bird's eye view of Hadoop-the Big Data analytics software. See how Big Data analytics helps enterprises via Hadoop.

2. HADOOP
THE SIGNIFICANT BIG DATA SOFTWARE

3. The Apache™ Hadoop® project
•Open-source software for reliable, scalable, distributed computing
•Allows distributed processing of large data sets across clusters of computers
Designed for:
•Scale up from single servers to thousands of machines, each offering local computation and storage
•To detect and handle failures at the application layer
•Delivering a highly-available service on top of a cluster of computers

4. •Hadoop Common (utilities) that support Hadoop models
•Hadoop Distributed File System (HDFS) for high-throughput access to application data
•Hadoop YARN for job scheduling and cluster resource management
•Hadoop MapReduce for parallel processing of large data-setsModules designed assuming hardware failures should be handled by framework
The Apache™ Hadoop® project

5. RELATED PROJECTS

6. RELATED PROJECTS
•Ambari™
A tool for provisioning, managing, and monitoring Apache Hadoop clusters
•Avro™
A data serialization system
•Cassandra™
A scalable multi-master database with no single points of failure
•Chukwa™
A data collection system for managing large distributed systems

7. •HBase™
A scalable, distributed database supporting structured data storage for large tables
•Hive™
A data warehouse infrastructure for data summarization and ad hoc querying
•Mahout™
A scalable machine learning and data mining library
•Pig™
A high-level data-flow language and execution framework for parallel computation
RELATED PROJECTS

8. •Spark™
A fast and general compute engine for Hadoop data
•Tez™
A generalized data-flow programming framework providing a powerful and flexible engine to execute data processing for both batch and interactive use- cases
•ZooKeeper™
A high-performance coordination service for distributed applications
RELATED PROJECTS

9. Hadoop is useful because…
BIG DATA STORAGE
FAST PROCESSING
BETTER RESULTS & INSIGHTS

10. Hadoop is Big Data software that…
best meets industry needs
allows movement of large volumes of complex and relational data into a single repository
is affordable storage and retrieval for analytic applications
makes raw data always available
simultaneously processes Big Data divided into multiple parts

11. Hadoop Uses
PUBLIC HEALTH
PRODUCT DEVELOPMENT
R&D
STOCK & COMMODITIES TRADING
SALES & MARKETING

12. The Hadoop Advantage…
Insights from everywhere, any where
•Hadoop can handle all types of data :
structured | unstructured | log files | pictures |audio files |communications records |email
•No prior need for a schema
•Lets you decide query later
•Makes all data useable, not just database

13. The Hadoop Advantage…
Economics of everything online
•Legacy systems are far too expensive for general use with large data-sets
•Hadoop relies on internally redundant data. Storing data not previously viable is possible
•Keep data for real-time interactive querying, business intelligence, analysis and visualization

14. The Hadoop Advantage…
Streamline Data Usage
•Unstructured data accounts for 90% of the data
•Data storage, management and analytics must be re-looked at
•Legacy systems will complement Hadoop-optimized data management
•Hadoop is cost-effective, scalable, and provided streamlined architecture

15. USE CASES
FOR BUSINESS ENTERPRISES

16. Hadoop helps
DATA PROCESSING
•extract, transform, and load (ETL) data from source systems
•to transfer data stored in Hadoop to and from a database management
•batch process large quantities of unstructured and semi-structured data
NETWORK MANAGEMENT
•capture, analyze, and display data collected from servers, storage devices, and other IT hardware
•monitor network activity and diagnose bottleneck and other issues

17. RETAIL FRAUD
•monitor, model, and analyze high volumes of data from transactions
•extract features and patterns, retailers can help prevent credit card account fraud
RECOMMENDATION TOOL
•match and recommend users to one another
•compare products and services based on analysis of user profiles and behavioral data
Hadoop helps

18. SENTIMENT ANALYSIS
•advanced text analytics tools analyze unstructured text of social media
•tweets and Facebook posts determine user sentiment related to particular companies, brands, or products
FINANCIAL RISK MODELING
•analysis of large volumes of transactional data to determine risk and exposure of financial assets,
•prepare for potential "what-if" scenarios based on simulated market behavior
•due diligence tasks
•rate potential clients for risk
Hadoop helps

19. MARKETING CAMPAIGN ANALYSIS
•monitor and determine the effectiveness of marketing campaigns
•increase the accuracy of analysis by incorporating higher volumes of detailed data
CUSTOMER INFLUENCER ANALYSIS
•Mine social networking data for mapping customer influence over others
•help enterprises determine customers most important and influential for focused marketing
Hadoop helps

20. CUSTOMER EXPERIENCE ANALYSIS
•integrate data from previously siloedcustomer interaction channels
•understand impact of customer interaction to optimize customer lifecycle experience
RESEARCH & DEVELOPMENT
•comb through volumes of text- based research and historical data to support development of new products
Hadoop helps

21. Hadoop provides a solid foundation onwhich to build critical big data solutions. As a tool, using it the right way from the very beginning can help ensuresuccess.

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