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Data ingestion is the process of acquiring and putting data into a data warehouse. Discover more about data ingestion now.
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Review the top data migration trends that could impact your organization in 2023 to ensure you’re in the know.
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This comprehensive review explores the features, pros and cons of Informatica Data Quality. Find out how this data quality tool can benefit your organization. Continue reading Informatica Review (2024): Pricing, Features, Pros & Cons
If you’re considering using a data integration platform to build your ETL process, you may be confused by the terms data integration and ETL. Here’s what you need to know about these two processes. Continue reading Data integration vs ETL: What are the differences?
Use our in-depth comparison of Azure Synapse Analytics and Snowflake to learn more about features and pricing to help you find your best fit. Continue reading Azure Synapse Analytics vs Snowflake: ETL Tool Comparison
Databricks, AWS and Google Cloud are among the top ETL tools for seamless data integration, featuring AI, real-time processing and visual mapping to enhance business intelligence. Continue reading 8 Best ETL Tools and Software for 2024
Etleap is a play on words for a common set of data practices: extract, transform and load. The startup is trying to place these activities in a modern context, automating what they can and in general speeding up what has been a tedious and highly technical practice. Today, they announced a $1.5 million seed round. […] Continue reading Etleap scores $1.5 million seed to transform how we ingest data
Amazon announced Amazon Glue today at the re:Invent conference in Las Vegas. The tool has been designed to help developers process data, whether the source is in the cloud or on prem. This is sometimes known as extract, transform, load (ETL) of data, and it’s generally considered one of the toughest parts of analytics. As Amazon CTO Werner Vogels explained today on stage at the… Read More Continue reading Amazon Glue solves sticky data prep problem in cloud