Essentially, a data warehouse is an analytic database, usually relational, that is created from two or more data sources, typically to store historical data, which may have a scale of petabytes.

The debate goes on. As part of the CRN 2023 Big Data 100, CRN has compiled a list of data warehouse and data lake system and service vendors that solution providers should be familiar with.

Cloudera announces the addition of new data engineering and data visualization "experiences" to the Cloudera Data Platform, complementing its equally new analytical database offering.

The ultimate goal is to balance trended analytics to inform real-time decisions, so the trick is to blend valuable unstructured data into your data management architecture.

The HiveMQ Data Hub is designed to ensure data integrity and quality in networks with multiple connected devices. For many managers and engineering and operations personnel focused on day-to-day ...

Data analytics have either been centralized or decentralized. Data mesh tried to fix that. The hub-and-spoke model goes further.

This article compares different alternative techniques to prepare data, including extract-transform-load (ETL) batch processing, streaming ingestion and data wrangling. The article also discusses ...

Data Engineering: A Problem A problem that has not disappeared is what to do with all of the data generated by the sensors.

Data Fabric Forrester analyst Noel Yuhanna was among the first individuals to define the data fabric back in the mid-2000s. Conceptually, a big data fabric is essentially a metadata-driven way of ...

The new email solution is made possible by StackAdapt’s proprietary Data Hub, which enables users to upload and segment first-party data, orchestrate customer journeys, and measure outcomes ...