Monte Carlo

SEPTEMBER 8, 2021

In other words, how can data analysts and engineers ensure that transformed, actionable data is actually available to access and use? Here’s where Reverse ETL and Data Observability can help teams go the extra mile when it comes to trusting your data products. Fortunately, there’s a better way: Reverse ETL. What is Reverse ETL?

ETL Tools 52

ETL Tools Data Warehouse BI Data Pipeline 52

Grouparoo

AUGUST 24, 2021

Customer data integration here might include creating a data warehouse where you can house your accurate and complete dataset. 3 | 8/19/2021 10:53:42 | | sl2090ch | Calvino | Nunes | cnunes@demo.com | Demo Co. | Data is not actually moved or duplicated into a central location, but is accessed through views instead.

Data Integration 52

Data Integration Data Consolidation Data Warehouse ETL Tools 52

Rockset

JANUARY 28, 2022

“Due to remote learning, most of our key metrics grew by 10X,” Sjogreen said in a video interview with SiliconANGLE’s theCUBE as part of the AWS Startup Showcase in September 2021. Seesaw was able to scale up its main database, an Amazon DynamoDB cloud-based service optimized for large datasets.

NoSQL 52

NoSQL PostgreSQL MongoDB ETL Tools 52

Cloudera

JUNE 16, 2022

For governance and security teams, the questions revolve around chain of custody, audit, metadata, access control, and lineage. We had to build the streaming data pipeline that new data has to move through before it can be persisted and then provide business teams access to that pipeline for them to build data products.”

Kafka 86

Kafka Manufacturing Data Lake SQL 86

Rockset

DECEMBER 9, 2021

Companies that embraced the modern data stack reaped the rewards, namely the ability to make even smarter decisions with even larger datasets. Embracing SQL as the standard for real-time data analytics is the most affordable and accessible choice. That said, streaming ETL has come a long way, augmented by in-memory stream processing.

Transportation 52

Transportation BI SQL Data Warehouse 52

Rockset

FEBRUARY 17, 2022

One of the buzziest topics of 2021 was the concept of “treating data like a product,” in other words, applying the same rigor and standards around usability, trust, and performance to analytics pipelines as you would to SaaS products. Here are their contributions. You might also be wondering: why now?

Data Engineering 52

Data Engineering Data Engineer Engineering Data Warehouse 52

ProjectPro

JANUARY 19, 2022

Data is an organization's most valuable asset, so ensuring it can be accessed quickly and securely should be a primary concern. ETL (extract, transform, and load) techniques move data from databases and other systems into a single hub, such as a data warehouse. Get familiar with popular ETL tools like Xplenty, Stitch, Alooma, etc.

Data Engineering 52

Data Engineering Data Engineer Engineering Scala 52