Systems | Development | Analytics | API | Testing

Go Hybrid & Multi-Cloud or Don't Go

Over the past few months industry analysts have been making some pretty controversial recommendations for data management in the cloud. For a thoughtful and entertaining analysis, I strongly recommend you spend a few minutes watching the keynote session by Pat Moorhead, CEO Moor Insights & Strategy, at the Evolve 2022 Data event in New York. His takeaway: “The world is very much going to be hybrid and multi-cloud.” His delivery—priceless.

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.

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.

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.