Systems | Development | Analytics | API | Testing

Saugata Saha on Data, AI, and What's Next for Qlik

Qlik’s new CEO discusses why he joined the company, the opportunity he sees at the intersection of data and AI, and what customers and partners can expect from his leadership. Qlik CEO Saugata Saha recently sat down with Jessica Dubois, Senior Director of Global Tech Partners, for his first external conversation since joining the company.

Best GDPR Data Mapping Tools (2026): Requirements + Top Picks

GDPR data mapping has evolved from a one-time documentation exercise into continuous operational reality. With €7.1 billion in cumulative fines and regulators increasingly scrutinizing actual data practices versus paper compliance, organizations need tools that provide genuine visibility into where personal data lives, how it flows, and who processes it. The critical gap in most "GDPR compliance software" is that they help you document compliance without actually scanning your data infrastructure.

Database Mapping Explained: Techniques, Tools, and Real Examples

Database mapping sits at the core of every successful data integration, migration, and ETL project. It's the blueprint that determines whether your customer records, sales figures, and operational data arrive accurate and usable, or quietly broken. With organizations managing dozens of data sources in mid-market environments, getting database mapping right has become essential for maintaining data integrity across increasingly complex tech stacks.

Manage by Exception, Not by Exhaustion

Ask any storage team what has changed over the last five years, and you'll hear a version of the same answer: everything grew and became more complex all at once. More applications, more data, more platforms, more places for a problem to hide. Complexity outpaced the teams meant to manage it. The staffing math makes it worse. Two-thirds of data center operators now struggle to hire or retain qualified staff.

Why Do AI Tools Give Different Numbers for the Same Question?

You can ask two AI tools the same question about your data and get different answers, even when both have access to the same system. There are several reasons this can happen. Each one might run a different model, or have a different set of tools available. The data you thought was the same might not actually be the same. Or one tool might have more context about my account than the other. I want to focus on what happens after I rule those things out: each tool still has to decide what my question means.

Agent Product Use Case - Slack & Jira Discrepancy Workflow

Customers and champions report problems in Slack, but if nobody files the ticket, the issue disappears before it ever reaches Jira. In this video, we use AgentSpot to build a Slack to Jira Coverage Workflow that reads your champions channel every morning, cross-compares it against your Jira backlog, and emails you a report of every issue raised in Slack that no one has filed yet. What is AgentSpot? AgentSpot is an Agentic Workforce Platform for building workflows that make decisions, take action, and deliver results across every system your business runs on, grounded in your data.

Hevo Data: Overview

Learn how Hevo can help you bring any data into your Data Warehouse in just a few minutes. Migrate data from any source such as MySQL PostgreSQL, MongoDB, Google Analytics, Google Adwords, Salesforce, Mixpanel, etc. to any destination such as Redshift, BigQuery, MySQL, PostgreSQL and more. With an easy-to-use interface and flawless user experience, set up your pipelines in minutes with Hevo.

Best ETL Tools in 2026

The right ETL platform should match your data volume, technical resources, pipeline ownership model, and budget. With many platforms, costs become harder to predict as data volumes grow, while maintenance demands and slow support add further operational pressure. This video compares four of the best ETL tools in 2026: Integrate.io, Fivetran, Airbyte, and Matillion. We explore low-code ETL vs open-source flexibility, managed pipelines vs self-hosting, flat-fee vs usage-based pricing, built-in reverse ETL, AI-assisted pipeline creation, and which platform best fits different teams.

Avoid the Cloud Token Trap & Secure Your AI | Cloudera AI Inference Service Demo

Relying strictly on public cloud AI APIs often leads to unpredictable token costs and data residency concerns. In this demo, Peter Ableda (Product Lead for Cloudera AI) demonstrates how the Cloudera AI Inference service enables enterprise-grade private AI behind your firewall—whether on-premises or in a Virtual Private Cloud (VPC). Learn how bringing AI directly to your data ensures total model control, cost predictability, and maximum data security.

How to Build Consolidated Multi-Entity Reporting in Power BI

Most groups start consolidating in Power BI the same way. Someone connects each subsidiary's ERP, appends the trial balances and writes a few DAX measures to net off the obvious intercompany lines. It works for two entities. By the fifth, the group P&L no longer ties to the ledgers, and month-end turns into a hunt for the difference. This guide is for the group controller or finance lead who owns that report.