data warehouse and business intelligence training

Data warehouse and business intelligence training software#

Software engineers mostly Data Engineers deal with DW while top executives, Managers deal with BI.īusiness Intelligence vs Data Warehouse Comparison Tableīelow is the comparison table between Business Intelligence and Data Warehouse mentioned.while BI teams use tools like Cognos, MSBI, Oracle BI, Pentaho, QlikView, etc. DW teams use tools like Ab Initio Software, Amazon Redshift, Informatica etc.

BI deals with OLAP, data visualization, and data mining and query/reporting tools while DW deals with data acquisition, metadata management, data cleansing, data transformation, data distribution and data recovery/backup planning.DW outlines the actual Database creation and integration process along with Data Profiling and Business validation rules while Business Intelligence makes use of tools and techniques that focus on counts, statistics, and visualization to improve business performance.BI is about accessing and exploring organization’s data while Data Warehouse is about gathering, transforming and storing data.BI means finding insights which portray business current picture (How and What) by leveraging data from the Data Warehouse (DW).Key Differences Between Business Intelligence vs Data Warehouseįollowing is the difference between Business Intelligence and Data Warehouse are as follows: Head to Head Comparison Between Business Intelligence and Data Warehouse (Infographics)īelow is the top 5 comparison between Business Intelligence and Data Warehouse: So now let’s compare Business Intelligence and Data Warehouse to get a deeper understanding by comparing. And BI systems make use of Data Warehouse data and lets you apply chosen metrics to potentially huge, unstructured data sets, and covers querying, data mining, online analytical processing ( OLAP), and reporting as well as business performance monitoring, predictive and prescriptive analytics. This data is stored in the Data Warehouse (DDS, Cubes). Data which is accumulated over a large amount of time from several disparate sources.īut now a very basic question arises where this data is. I will tell you why it is so much intelligent, it’s simple it makes use of Data. How can it help me in taking a strategic decision? Not only that, a good BI platform describes this to you in real time in a granular, accurate and presentable form.īut on what basis it is able to do so, what is the source. Now let’s understand exactly what is Business Intelligence which has created so much confusion in the Analytics industry as some people uses both terms interchangeably and lots of discussions is going on the internet.īI is basically a Business Intelligence system which tells you what happened, or is happening right now in your business – it describes the situation to you. These are so mistakenly used that even people who are working in this domain also not sure what to use and when to. So far I hope you have got enough understanding about both Business Intelligence and Data Warehouse concepts which are so commonly used in the Data Analytics Domain. I will use certain abbreviations like BI for Business Intelligence and DW for Data Warehouse as it’s easy to write. Data Warehouses hold data in Fact Tables (Tables which covers numbers such as revenue and Costs) and Dimensions (Group Facts by different attributes like region, office or week). It usually contains historical data derived from transaction data, but it can include data from various data sources. Hadoop, Data Science, Statistics & othersĭata Warehouse is similar to a relational database that is aimed for querying and analyzing the data rather than for transaction processing.

Data warehouse and business intelligence training