Extract, Transform, and Load (ETL)
ETL is the short form of three database functions extract, transform and load. These three functions are combined together into one tool to place them from one to another database. Extract It is the process of reading data from a database. Transform It is the process of conversion of extracted data in the desired form so that it can be put into another database. Load It is the process of writing data into the target databaseWhizlabs
Explore Data & Analytics Statistics
- The worldwide big data market is projected to grow from $42 billion in 2018 to $103 billion in 2027.
- 53 percent of companies are adopting big data analytics
- The big data industry will be worth an estimated $77 billion by 2023.
- 62 percent of retail businesses see competitive advantages from information and analytics.
- Data-driven organizations are 23 times more likely to acquire customers, six times as likely to retain customers, and 19 times as likely to be profitable as a result.
- 98 percent of sales representatives at construction companies that adopt analytics and geographic data reported dramatic decreases in their time frame for providing price quotes.
- 90 percent of the world’s data was created between 2015 and 2016 alone.
- 55 percent of North American businesses have adopted big data analytics.
- 70 percent of investment professionals use “alternative data” or plan to do so in the next year.
- By 2020, there will be 2.7 million job postings for data science and analytics roles.
Check Out Data & Analytics Tools
Recent Blogs on Data & Analytics
- Part 1: How the Snowflake Cloud Data Platform transforms organization?
- The Value of Data Management
- Gender Equality in Technology: Come so Far, Got so Far to Go
- Data Solutions that Improve Risk Management for Banks
- Surprise! Payers’ Data Struggles with the No Surprises Act
- Implementing Power BI Report Usage Metrics
- Don’t Let Technical Debt Bankrupt Your Data Foundation
- Data Warehouse Business Requirements
- Implementation Fundamentals of Master Data Management
- What is a Data Strategy & Why is it Important?