Benchmarking Ingestion Costs and Performance of Qlik Open Lakehouse Vs a Data Warehouse

As the demand for data to power AI models and real-time decision making continues to grow, organizations are increasingly looking for ways to simplify and optimize the ways to ingest, and process fresh data within the enterprise. On average, organizations allocate 20–50% of their annual data warehouse spend on compute for data ingestion, amounting to millions of dollars in costs for large enterprises.

AI-Powered Integration: Turning Complex Workflows into Simple Commands

Data integration has long been one of the most time-intensive parts of enterprise IT. Connecting multiple systems, reconciling formats, and ensuring data reaches its destination reliably often requires weeks of preparation before the first record moves. But with AI-powered integration, that timeline compresses dramatically. What once took weeks can now be designed, validated, and delivered in minutes.

How to Choose AI-Powered ETL for Non-Technical Teams

Data teams spend 45% of their time on data preparation, which stifles business growth and delays critical insights. With the ETL market projected to grow from $533 million to $1.28 billion by 2034, businesses face an overwhelming array of choices. Yet traditional ETL tools require specialized coding expertise that non-technical teams simply don't have, creating dangerous dependencies on overburdened IT departments.

Revolutionize Your Analytics with ThoughtSpot Next-Gen Liveboards

Traditional Dashboards are dead! They are static, visually unappealing, and are a dead end for discovery. Introducing Liveboards—the next-generation dashboards! Get real-time, interactive collections of your data insights all at one place. You can instantly drill down, cross-filter, and ask Spotter to get insights within seconds. Go beyond static, pre-defined views! Discover the future with Next Gen Liveboards in ThoughtSpot.

Access and Prepare Your Data

Join Mike Tarallo live this Friday, November 14th at 10AM ET as he explores the many ways to access and prepare your data in Qlik Cloud. Whether you’re loading from the Data Load Editor with Qlik script, working with registered datasets in the Data Catalog, or streamlining your data prep with Table Recipes, Data Flows, or the Data Manager — this session will help you understand when and why to use each approach.

How to Monetize Enterprise Data: The Definitive Guide

Most modern enterprises are generating more data than they can use, let alone integrate, analyze, and extract value from. Some figure out the secret to data value extraction is monetization—identifying data so valuable that other companies will pay for it. And now, the shift to real time data monetization is no longer a strategic option but a fundamental requirement for modern enterprises.

What's New For The Snowflake Platform

Tune into this session from BUILD 2025 to join Snowflake's Artin Avanes, Senior Director, Product Management, Raja Balakrishnan, Senior Manager of Product, and Christine Avanessians, Director of Product Management to discover what's new across Snowflake's easy, connected, and trusted platform. Learn how Snowflake is accelerating Data and AI innovation spanning compute, manageability, security and governance, and Business Continuity Disaster Recovery (BCDR).