Systems | Development | Analytics | API | Testing

Managing the Cost and Complexity of Hybrid Cloud Infrastructure

More enterprises are striving to become data-driven so they deliver greater value to their customers, shareholders, employees and society at large. But many are still struggling with data infrastructure. To reap the benefits, learn how companies are solving key challenges, from managing the rapid growth of data to ensuring security and compliance, in this discussion with Dan McConnell, SVP of product management, Enterprise Infrastructure.

Solving key challenges in the ML lifecycle with Unravel and Databricks Model Serving

Machine learning (ML) enables organizations to extract more value from their data than ever before. Companies who successfully deploy ML models into production are able to leverage that data value at a faster pace than ever before. But deploying ML models requires a number of key steps, each fraught with challenges.

Struggling with Inefficient Processes? Process Mining Can Help

Every organization contends with numerous moving parts that drive business forward. But they can be inefficient and convoluted – in fact, Forrester research shows that 71% of organizations use 10 or more applications for a single business process. To make matters worse, only 16% of companies have complete visibility over their own processes. This is where process mining can help. How can you gain more clarity so you can improve efficiency within your organization?

Introducing Qlik Cloud Government - Analytics for U.S. Federal Sector - FedRAMP Authorized

Qlik Cloud Government is now FedRAMP Authorized and Mission Ready Qlik would like to announce our SaaS solution for the U.S. Federal and Public Sector with Qlik Cloud Government. A new platform entirely designed specifically to meet the varied needs of our customers including the U.S. Public sector, offering a modern analytics platform built for speed, security, and scale.

Putting Data FinOps into practice

A new approach to taming cloud data costs Data management services are the fastest-growing category of cloud service spending, representing approximately 40% of the total cloud bill. 80% of data management professionals report difficulty accurately forecasting data-related cloud costs. In this session, you will learn how FinOps enabled a consistent view between executives, finance, business, and engineering teams, a comparison of FinOps for DevOps and for DataOps teams, and how AI is enabling new levels of efficiency for modern data stacks with DataFinOps.

Iceberg Tables: Catalog Support Now Available

As announced at Snowflake Summit 2022, Iceberg Tables combines unique Snowflake capabilities with Apache Iceberg and Apache Parquet open source projects to support your architecture of choice. As part of the latest Iceberg release, we’ve added catalog support to the Iceberg project to ensure that engines outside of Snowflake can interoperate with Iceberg Tables.