Systems | Development | Analytics | API | Testing

Combine the flexibility of data lakes, governance of data warehouses and automated data movement.

Penguin Random House’s Pete Williams on riding the data maturity curve, people and data literacy and readiness to enable and exploit.

Each business (regardless of industry) and every software developer has latency on their radar. Yet, it's typically not at the top of the priority list, and generally, that's just fine. But when it comes to the world of realtime updates, this casual attitude can trip you up. When you're piecing together a system for realtime updates, low latency jumps from being an afterthought to a critical, front and center requirement.

To become a data-driven business and perform effective data management, organizations must construct high-performance data pipelines that can effectively collect, process, and analyze their enterprise information. When handling data processing and integration, companies have several choices for how to construct their data flows. Instead of writing custom data workflows from scratch, most businesses decide to use an ELT data platform that seamlessly connects the various datasets in their IT ecosystem.

If you’ve been researching API security, you’ve likely seen the term “Zero Trust.” And you may already know that organizations can use Zero Trust to help protect their APIs from attacks. What you may not know is that Zero Trust is one of the best models for API security. According to Microsoft, “96 percent of security decision-makers state that Zero Trust is critical to their organization’s success.” But what is Zero Trust exactly?

If you landed on this blog post, chances are that you care about keeping your API secure. It’s an important topic to discuss: API exploits are on the rise, and you don’t want unauthorized users accessing your data. A big part of that security is implementing API authentication and API authorization. These API access control measures are a foundational aspect of API security.

Introducing Zac ODonnell, the Manager of Software Engineering at EnergyCAP, who shares his testimonial on how Ghost Inspector has revolutionized their development process. EnergyCAP helps businesses effectively manage energy usage, utility bills, and carbon footprint while achieving substantial savings. However, they faced challenges in keeping their product running smoothly amid frequent changes and security patches.

Learn how our new developer tools for iOS and Android web apps and websites help streamline cross-browser debugging and accelerate development.

By now, you should have read the headlines that Qlik's acquisition of Talend is complete, and we're excited to expand our best-in-class capabilities to help you access, transform, trust, analyze, and take action with your data. You might have seen Mike Capone's QlikWorld keynote or the recent "What's Next is Now" webinar and wondered how to leverage these new capabilities in your organization.

As the amount of data generated by businesses continues to grow exponentially, efficient and scalable ETL (extract, transform, load) processes have become crucial for managing and analyzing this data. Google BigQuery is a fully-managed, serverless data warehouse designed for super-fast SQL queries and data analysis. However, managing ETL processes in BigQuery can be complex and time-consuming. An ETL tool can help.