Schema Management: Hevo takes away the tedious task of schema management & automatically detects the schema of incoming data and maps it to the destination schema.Secure: Hevo has a fault-tolerant architecture that ensures that the data is handled in a secure, consistent manner with zero data loss.Let’s look at some salient features of Hevo: Hevo provides you with a truly efficient and fully automated solution to manage data in real-time and always have analysis-ready data. Hevo’s fault-tolerant architecture makes sure that your data is secure and consistent. It will automate your data flow in minutes without writing any line of code.
Hevo Data is a No-code Data Pipeline that offers a fully managed solution to set up data integration from 100+ Data Sources (40+ Free Data Sources) to numerous Business Intelligence tools, Data Warehouses, or a destination of choice.
The PDF format had not yet been established when Microsoft Excel was implemented, and it was not invented until 1993.įast forward to Microsoft Excel versions since the 2010s and beyond, today, the software has chart updates, recommendations for users to choose between Pivot Tables, and more, all aimed to improve Microsoft Excel for Data Analysts.įor more information on Microsoft Excel, click here.
Microsoft Excel was launched to compete with VisiCalc, a Spreadsheet capable of 5 columns and 20 rows, which though seems primitive by current standards but was a revolutionary software in the 70s.ĭrawing Capabilities, Toolbars, Add-in Support, Outlining, 3D Charts, and many other features were incorporated into the run-time version of Windows in 1990. When Microsoft finally launched its own computer and Operating System in 1987, it was re-engineered for a new platform and dubbed Microsoft Excel 2.0.
Microsoft Excel has been around since it was initially released for the Apple Mac in 1984.
In addition, Data Analysis enables companies to develop products and services that appeal to their customers and help them identify new opportunities for revenue generation.įor more information on Data Analysis, click here. Using these patterns and correlations, Data Analysts can generate insights and conclusions from the raw data.ĭata Analysis also provides a means for responding to questions that can help organizations in improving business decisions for future actions by understanding past behavior and interactions.ĭata Analysis allows businesses to sketch their action plan before committing to it. It helps in the uncovering of patterns in data as well as correlations between various Data Points.
Using Data Analytics, companies have begun effective utilization of their data since it has become a differentiating factor for corporate success. Data Analytics has demonstrated its potential in various sectors by boosting its growth and demand.