Data Warehouse in Telugu
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Business Intelligence is a technology based on customer and profit-oriented models that reduce operating costs and provide increased profitability by improving productivity, sales, service and helps to make decision-making capabilities at no time. Business Intelligence Models are based on multidimensional analysis and key performance indicators (KPI) of an enterprise
"A data warehouse is a subject oriented, integrated, time variant, a nonvolatile collection of data in support of management's decision-making process".
In addition to a relational/multidimensional database, a data warehouse environment often consists of an ETL solution, an OLAP engine, client analysis tools, and other applications that manage the process of gathering data and delivering it to business users.
Data Mart - Datamart is a subset of data warehouse and it supports a particular region, business unit or business function.
ETL (Extract, Transform and Load) is a process in data warehousing responsible for pulling data out of the source systems and placing it into a data warehouse.
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The Online Analytical Processing is designed to answer multi-dimensional queries, whereas the Online Transaction Processing is designed to facilitate and manage the usual business applications. While OLAP is customer-oriented, OLTP is market-oriented.
Both OLTP and OLAP are two of the common systems for the management of data. The OLTP is a category of systems that manage transaction processing. OLAP is a compilation of ways to query multi-dimensional databases
Tools for Data warehouse:
Amazon Redshift
Oracle 12c
MSBI
Informatica Data Validation.
QuerySurge.
ICEDQ.
Datagaps ETL Validator.
QualiDI.
Talend Open Studio for Data Integration.
Codoid's ETL Testing Services.
Data Centric Testing.
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