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Introducing Cloudera DataFlow Designer: Self-service, No-Code Dataflow Design

Cloudera has been providing enterprise support for Apache NiFi since 2015, helping hundreds of organizations take control of their data movement pipelines on premises and in the public cloud. Working with these organizations has taught us a lot about the needs of developers and administrators when it comes to developing new dataflows and supporting them in mission-critical production environments.

How Iceberg Tables Work In Snowflake | Demo

Iceberg Tables, a new type of Snowflake table available in preview, pairs Snowflake’s powerful performance engine and platform capabilities with open formats in external storage. In this video, you will get:❄ An overview of Apache Iceberg❄ A demo showing how Iceberg Tables support interoperability between different tools❄ A technical deep dive on how Iceberg Tables work in Snowflake Links to Iceberg resources.

The Top 3 reasons you need Talend Data Catalog 8

The growth of big data has scattered data sources throughout the enterprise, tucking them away in silos and making them hard to find. But there is more to data than just storing information in an operational data store or running analytics from a data warehouse. For example, regulated industries have requirements needing tighter control over the data.

SaaS in 60 - Natural Language Insights on Dashboards

You can now deliver AI-generated, natural language insights directly on sheets in Qlik Sense. With our new natural language object, you can include narrative interpretations and readouts for any context, such as an overall sheet, a group of visualizations, or an individual visualization. This capability allows all Qlik Sense users to benefit from NLG when exploring in dashboards, boosting data literacy and driving improved data storytelling.

What's Ahead in Data Management in 2023?

Data management is fundamental to every application. Managing this precious asset is an essential competency in modern businesses of every sort. Innovations in data platforms are being adopted, and data management approaches are evolving rapidly to keep pace. Increasingly, enterprises are converging their data warehouse, data lake, and other data management platforms onto distributed cloud-native infrastructures. As more types of data are consolidated into their platforms, enterprises implement more scalable DataOps pipelines and more comprehensive governance practices to manage it all.

How to improve risk management and resiliency - Kelly Hereid

This episode features an interview with Dr. Kelly Hereid, Director of Catastrophe R&D at Liberty Mutual Insurance in the Corporate Enterprise Risk Management Group. Prior to Liberty Mutual, Kelly was a research scientist at Chubb in their primary side natural catastrophe unit. She has a Ph.D. in geological sciences from the University of Texas – Austin, focusing on climate science. On this episode, Kelly talks about using historical data to create catastrophe models, taking a strategic standpoint to invest in resiliency, and reducing vulnerability to changing hazards.

Cloud Complexity and the Need for Tighter Security Grow Together

Whether on-premises, private, hybrid or multicloud, or at the edge – working in the cloud is complex. And as the enterprise expands, so too does the threat surface for cyberattacks. Ransomware, in particular, is among the biggest risks organizations now face and cloud-based data is accounting for 39% of successful attacks.

Yellowfin Launches Certified CData Connectors

AUSTIN, TEXAS, USA - December 8, 2022 - Yellowfin, Inc. (“Yellowfin”), a leading global provider of BI and data analytics software, today announces a global partnership with CData Software, a premier provider of real-time data connectivity solutions, to extend the capabilities of Yellowfin with 250+ high-performance CData connectors.

ThoughtSpot for Snowflake Retail Data Cloud

With the Snowflake Retail Data Cloud and ThoughtSpot Analytics, retailers and consumer packaged goods leaders can seamlessly access, govern and share data to deliver personalized customer experiences, optimize supply chains, and make data-driven merchandising decisions. Take advantage of live analytics to uncover and share granular insights from first- and third-party data from the Snowflake Data Marketplace without performing any aggregations or extracts.