Data Integration Data Processing Data Quality Events 
Sisense
AUGUST 28, 2020
Uncomfortable truth incoming: Most people in your organization don’t think about the quality of their data from intake to production of insights. However, as a data team member, you know how important data integrity (and a whole host of other aspects of data management) is. What is data integrity?
Alation
JUNE 23, 2023
That’s going to be the view at the highly anticipated gathering of the global data, analytics, and AI community — Databricks Data + AI Summit — when it makes its grand return to San Francisco from June 26–29. Attending Databricks Data+AI Summit? We’re looking forward to seeing you there! When: Thursday, June 29, at 11:30 p.m.
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Ontotext
DECEMBER 1, 2023
The event held the space for presentations, discussions, and one-on-one meetings, where more than 20 partners, 1064 Registrants from 41 countries, spanning across 25 industries came together. Sumit started his talk by laying out the problems in today’s data landscapes. Abstract art and knowledge graphs: embracing your mess!
Octopai
JANUARY 31, 2021
This podcast centers around data management and investigates a different aspect of this field each week. Within each episode, there are actionable insights that data teams can apply in their everyday tasks or projects. The host is Tobias Macey, an engineer with many years of experience. Agile Data.
Ontotext
SEPTEMBER 15, 2020
This multiplicity of data leads to the growth silos, which in turns increases the cost of integration. The purpose of weaving a Data Fabric is to remove the friction and cost from accessing and sharing data in the distributed ICT environment that is the norm. Consider using data catalogs for this purpose.
FineReport
APRIL 26, 2023
Unlike traditional databases, processing large data volumes can be quite challenging. With Big Data Analytics, businesses can make better and quicker decisions, model and forecast future events, and enhance their Business Intelligence. How to Choose the Right Big Data Analytics Tools?
Cloudera
SEPTEMBER 7, 2023
Perhaps the biggest challenge of all is that AI solutions—with their complex, opaque models, and their appetite for large, diverse, high-quality datasets—tend to complicate the oversight, management, and assurance processes integral to data management and governance. Systematize governance. Create core feedback mechanisms.
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