By

Govind
Data warehouse
Data lakehouses are designed to store, manage, and analyze vast amounts of data from various sources in a unified way. However, despite their increasing prevalence, some misconceptions about data lakehouses still exist. In this article, we’ll explore the most common myths and misconceptions surrounding data lakehouses, and shed light on the realities of these platforms.  ...
Self-service Business Intelligence is a subset of Business Intelligence (BI) whose global market size was $8.53 billion in 2022 and is expected to grow at a CAGR of 15.4% through 2032 (Report: Self-Service BI Market).  Self-service BI enables end-users to access, analyze, and interpret data without relying on extensive IT support or expertise. With the...
Business intelligence
Manufacturers generate and collect data from multiple sources such as machinery, end-user products, customers, IIoTs, transactions, business processes, and more. The phrase ‘Data is the new oil’ is commonly used, and just like the oil, data is not of much use in its ‘crude’, raw form. It needs to be stored and refined (transformed and...
industry automation
The volume and variety of data collected by organizations are growing at an unprecedented rate. A 2019 survey by Matillion and IDG found that enterprises generate data from an average of 400 sources, with 20 percent of the respondents collecting data from more than 1,000 sources. With the rise in Industry 4.0 technologies, manufacturers create...
Data warehouse
Data repositories are the key foundational components of an organization’s data infrastructure. A data repository is a collection of large databases that collect, store, and manage enterprise data in raw and/or processed formats, and make it available for further analysis. Options such as data marts, data warehouses, data lakes, and data lakehouses are available for...
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