Best Practices in Data Ingestion

Organizations are generating large chunks of data every nanosecond. These data points serve as the backbone of all major business transformation initiatives – helping derive deeper insights for providing superior customer experiences, improved products and personalized offerings. Yet, for data to be useful, it is important that it is accessible, clean and abundant. Data ingestion (the process of extracting, transforming, and loading data) plays an important role in making data available for timely analysis.

In an article for CMSWire, Moshe Kranc, Chief Technology Officer, Ness Digital Engineering, shares some of the essential best practices that organizations must consider in the data ingestion process. “Today, data has gotten too large, both in size and variety, to be curated manually. You need to develop tools that automate the ingestion process wherever possible. For example, rather than manually defining a table’s metadata, e.g., its schema or rules about minimum and maximum valid values, a user should be able to define this information in a spreadsheet, which is then read by a tool that enforces the specified metadata,” notes Moshe.

Read the full article https://www.cmswire.com/information-management/data-ingestion-best-practices/

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