Planning a Data Lake? Prepare for These 7 Challenges
Without addressing challenges like the need for cybersecurity protections and data quality controls, enterprises may struggle to derive full value from data lakes.
Read More »Without addressing challenges like the need for cybersecurity protections and data quality controls, enterprises may struggle to derive full value from data lakes.
Read More »Follow these best practices for data lake management to ensure your organization can make the most of your investment.
Read More »Organizations are adopting modern data management approaches, such as semantic-based knowledge graphs, to connect data across the enterprise and accelerate the value from their data lake investments.
Read More »While data lakehouses solve some issues, they are not a universal remedy. They really are the next generation of data lakes, incorporating some features and functionality found in data warehouses but with an eye toward data science.
Read More »A lakehouse is a new, open architecture that combines the best elements of data lakes and data warehouses.
Read More »Taking a proactive and strategic approach to data management can save time, money, and resources while unlocking even more powerful insights that lead to business outcomes.
Read More »Lakehouses combine the benefits of warehouses and lakes so organizations can use their massive quantities of unstructured data with the speed and reliability of a warehouse.
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