Fivetran Supports Customer 360 Projects Through Our New Heap Integration
ETL optimized for your product analytics via Heap integration.
ETL optimized for your product analytics via Heap integration.
Fivetran continues to help companies gain visibility into their AWS environment through additional integrations.
The global pandemic continues to impact our world in so many ways. But it has also served as a catalyst for technological change—a forcing function that is accelerating cloud migration. Every company wants to create better products or services, differentiate offerings, price strategically, grab more market share, retain customers, and grow in a sustainable manner.
One of the most effective ways to improve performance and minimize cost in database systems today is by avoiding unnecessary work, such as data reads from the storage layer (e.g., disks, remote storage), transfers over the network, or even data materialization during query execution. Since its early days, Apache Hive improves distributed query execution by pushing down column filter predicates to storage handlers like HBase or columnar data format readers such as Apache ORC.
How do you integrate data from Amazon RDS (Relational Database Service) with data from other sources such as S3, Redshift, or even MongoDB? The answer is Xplenty. Our data integration on the cloud lets you join data from various sources and then process it to gain new insights. What about storing the results back to RDS? No problem; Xplenty does that as well.
When a company is small, having a fully centralized data team may not be an issue. As you grow, however, problems can start to arise. You have one structure that’s supporting all of your business units, and they may not be able to dedicate sufficient time and resources to individual business units. This can lead to delays in surfacing important insights and decisions made on old or inaccurate data.