Most enterprises today lock away data behind multiple silos. When most people think of these silos, data marts and other old school data architecture approaches usually come to mind. But the modern cloud environment has made things much more complex. Fractured, siloed data environments are not beneficial to any business looking to actually drive value … Continue reading The Complexity of Modern Data Environments
Tag: data lake
Struggling to harness data sprawl, CIOs across industries are facing tough challenges. One of them is where to store all of their enterprise’s data to deliver robust data analytics. There have traditionally been two storage solutions for data: data warehouses and data lakes. Data warehouses mainly store transformed, structured data from operational and transactional systems, … Continue reading The Definitive Guide to Data Warehouse vs. Data Lake vs. Data Lakehouse
Partitioning in data lakes is an improvement practice for your query speed. Managed lake solutions like AWS Athena suggest partitioning as best practices to optimize query performance. When you read through their partitioning documentation, it may seem to be easy to implement and may give the impression that once you apply to a partition, you … Continue reading 3 Things To Consider When Partitioning Your Data Lake
We experience the great impact of data both on our lives and business. Huge amounts of information if used correctly can be a key to success. But those great amounts of data must be stored and analyzed in an effective way. /sas-certification/ In this article, we'll highlight the role of data for modern businesses and … Continue reading Data Warehouse vs Data Lake: Differences Explained
If you’ve heard the debate among IT professionals about data lakes versus data warehouses, you might be wondering which is better for your organization. You might even be wondering how these two approaches are different at all. When you’re first learning about data lakes, you may initially feel like you’ve been down this path before. … Continue reading What’s the difference between data lakes and data warehouses?
The data lake may be all about Apache Hadoop, but integrating operational data can be a challenge. A Hadoop software platform provides a proven cost-effective, highly scalable and reliable means of storing vast data sets on commodity hardware. By its nature, it does not deal well with changing data, having no concept of "update," nor … Continue reading Providing transactional data to your Hadoop and Kafka data lake