Big Data, ACID Compliance, SAP HANA, Data Warehousing, ETL and Business Intelligence

Big Data simple definition: A data which is difficult to process using its traditional system

For more clarity - go through Patrick Video on YouTube 

Big Data means four V

·         Volume - Data Quantity

·         Velocity - Data Speeds

·         Variety - Type of Data

·         Veracity - Truthfulness, Messiness, Accuracy in Large Data

ACID Compliance:

This guarantee reliability of database transactions.

This includes: Atomicity, Consistency, Isolation and Durability.

SAP Hanna is 100% ACID compliance.

Note: (HANA is just a name doesn’t have any acronym.)

SAP HANA is in memory database and is very fast 10 times more in fact compared to Traditional database. SAP HANA is provided as a database Appliance.

This leverage the technologies like: Low Cost main memory RAM, Multi core Processors, Solid state drives (These do not have any spinning technologies - so data is available very fast)

Data Warehousing (DW): The purpose of DW is to provide aggregate data which is in suitable format for decision making

ETL and Data marts: Extraction, Transformation and Loading and Data marts are subsets of Data warehouse.

Business Intelligence: This BI is useful to analyze the past using BI tools and helps to improve the future.
BI Work Flow: Past (Raw Data) is transform to Meaning Full Information Then Transform to Future (More Profits {increase revenue & Reduce Cost} as well Stability). Meaning full info is generated by BI in two different approaches - Technology and Process

CMMI - Capability Maturity Model Integration

Enormity: the great or extreme scale, seriousness, or extent of something perceived as bad or morally wrong / a grave crime or Sin