IBM Big Data Strategy

IBM Big Data Strategy :

IBM, a US-based computer hardware and software manufacturer, had implemented a Big Data strategy.

Where the company offered solutions to store, manage, and analyze the huge amounts of data generated daily and equipped large and small companies to make informed business decisions.

The company believed that its Big Data and analytics products and services would help its clients become more competitive and drive growth.

Issues :

·        Understand the concept of Big Data and its importance to large, medium, and small companies in the current industry scenario.

·       Understand the need for implementing a Big Data strategy and the various issues and challenges associated with this.

·       Analyze the Big Data strategy of IBM.

·       Explore ways in which IBM’s Big Data strategy could be improved further.

 

Introduction to InfoSphere :

InfoSphere Information Server provides a single platform for data integration and governance.

The components in the suite combine to create a unified foundation for enterprise information architectures, capable of scaling to meet any information volume requirements.

You can use the suite to deliver business results faster while maintaining data quality and integrity throughout your information landscape.

InfoSphere Information Server helps your business and IT personnel collaborate to understand the meaning, structure, and content of information across a wide variety of sources.

By using InfoSphere Information Server, your business can access and use information in new ways to drive innovation, increase operational efficiency, and lower risk.

BigInsights :

 

BigInsights is a software platform for discovering, analyzing, and visualizing data from disparate sources.

The flexible platform is built on an Apache Hadoop open-source framework that runs in parallel on commonly available, low-cost hardware.

 

Big Sheets :

 

BigSheets is a browser-based analytic tool included in the InfoSphere  BigInsights Console that you use to break large amounts of unstructured data into consumable, situation-specific business contexts.

These deep insights help you to filter and manipulate data from sheets even further.

 

Intro to Big SQL :        

 

 

IBM Big SQL is a high performance massively parallel processing (MPP) SQL engine for Hadoop that makes querying enterprise data from across the organization an easy and secure experience.

A Big SQL query can quickly access a variety of data sources including HDFS, RDBMS, NoSQL databases, object stores, and WebHDFS by using a single database connection or single query for best-in-class analytic capabilities.

Big SQL provides tools to help you manage your system and your databases, and you can use popular analytic tools to visualize your data.

Big SQL's robust engine executes complex queries for relational data and Hadoop data.

Big SQL provides an advanced SQL compiler and a cost-based optimizer for efficient query execution.

Combining these with massive parallel processing (MPP) engine helps distribute query execution across nodes in a cluster.