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.
data lake
7 Data Lake Best Practices for Effective Data Management
Follow these best practices for data lake management to ensure your organization can make the most of your investment.
Maximizing the Value of Your Data Lake
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.
Are Data Lakehouses the Panacea, Or Is There Something Better?
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.
What is a Data Lakehouse?
A lakehouse is a new, open architecture that combines the best elements of data lakes and data warehouses.
Sound Data Management Practices Can Pay Off Now and Later. Here’s How.
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.
How the Data ‘Lakehouse’ Might Usurp the Warehouse and the Lake
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.