Big data.
- 1. Swipe A Brief Introduction to B I G D A T A
- 2. Big data is a collection of problems that test the limits of current IT and computational technologies, as well as existing algorithms. Big data is traditionally described as a large volume of data (in excess of 1 terabyte) processed at a high rate with a high degree of variety and veracity The vast amount of data – both structured and unstructured – that inundates a company on a daily basis is referred to as big data. What counts is what companies do with the data. Big data may be analysed for perspectives that contribute to stronger business choices and strategic steps. Introduction
- 3. 3 V's of Big Data Data Volume Tera Byte Records Transaction Tables, File's Data Velocity Real Time Streams Near Time Batches Data Variety Mixed Structure Unstructure Semi-structured
- 4. 3 V's of Big Data Volume:- Provides the amount of the data and from of data. Velocity:- Provides the time at which the data is collected and analyzed. Variety:- Provide the type of data which is collected.
- 5. Hive H Base Hadoop Distributed File System Data models: Key value, graph, document, column-family. Storing Big Data Analyse your data characteristics Select data source for analysis Eliminate redundant data Establishing the role of NoSQL Overview of Big Data stores
- 6. Selecting Big Data Stores Depending on your data characteristics, choose the appropriate data stores Transferring code to data Putting in place a polyglot data storage solution Aligning market objectives for the most suitable data repository
- 7. Stay Tuned With Decision Tree Artificial Intelligence Machine Learning Topics for next Post