IBM Big Data Hub
NOVEMBER 3, 2023
Apache Kafka and Apache Flink working together Anyone who is familiar with the stream processing ecosystem is familiar with Apache Kafka: the de-facto enterprise standard for open-source event streaming. Apache Kafka streams get data to where it needs to go, but these capabilities are not maximized when Apache Kafka is deployed in isolation.
Cloudera
JULY 14, 2023
While these instructions are carried out for Cloudera Data Platform (CDP), Cloudera Data Engineering, and Cloudera Data Warehouse, one can extrapolate them easily to other services and other use cases as well. In all the use cases we are trying to migrate a table named “events.”
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Jet Global
MAY 9, 2024
Enhanced Accuracy: Centralized data oversight minimizes errors and inconsistencies. Bizview Workflows Watch Webinar Now Watch Now Empower Your Business Users with Data-Driven Planning You don’t have to suffer from fragmented and siloed data, excessively long planning cycles, and the inability to adapt quickly to changing business needs.
Sisense
APRIL 22, 2021
and TC Facilities Management, to see how they’re using data to make real change. Learn how these companies have transformed their businesses with data and analytics. The full webinar is available on-demand and contains even more tips, implementation guidance, and future plans for AI from these companies. Watch Webinar.
Jet Global
NOVEMBER 21, 2023
To have any hope of generating value from growing data sets, enterprise organizations must turn to the latest technology. You’ve heard of data warehouses, and probable data lakes, but now, the data lakehouse is emerging as the new corporate buzzword. To address this, the data lakehouse was born.
Andrew White
DECEMBER 9, 2019
Don’t focus on data; don’t focus on standards; don’t focus on principles. And don’t start with a focus on domain specific data. See: Webinar Effective Data and Analytics Governance – Finally! Blog A Little Data Governance Goes a Long Way. Records (files, or what you might all unstructured data).
Jet Global
NOVEMBER 7, 2023
The answer depends on your specific business needs and the nature of the data you are working with. Both methods have advantages and disadvantages: Replication involves periodically copying data from a source system to a data warehouse or reporting database. Empower your team to add new data sources on the fly.
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