Systems | Development | Analytics | API | Testing

ChatGPT Models: Choosing the Right Fit for Databox Analytics

At Databox, our mission is to help growing businesses leverage their data to make better decisions and improve their performance. We envision a future where every company, no matter the size, can harness its existing data to create more accurate marketing plans, sales goals, budget planning, and more.

Qlik's AWS re:Invent 2023 Journey: Real-Time Data Integration, Quality, and AI-Powered Analytics Unleashed!

Qlik’s partnership with AWS provides customers with an end-to-end data integration and analytics solution for AWS. Our accelerates data delivery and readiness for analytics from a wide range of enterprise data sources. And our empowers users at any skill level to freely explore all your data and uncover hidden insights. Add to that Qlik Staige and you can find out how we can help modernize with AI.

How Change Data Capture Cuts Costs and Modernises Applications in a Competitive Market

I consider myself pretty lucky: I love technology and get paid to pursue my hobby. I also get to say yes to opportunities that come my way that can increase value to my company and our clients. It was one of these opportunities that led us to adopt change data capture (CDC) technology, resulting in an added value proposition for our customers.

Open Data Lakehouse for Private Cloud Ozone Snapshots

One of the features of the Open Data Lakehouse for Private Cloud is the Ozone compatibility. The snapshot feature for Apache Ozone object store enables you to take a point-in-time consistent image of a given bucket. This feature allows you to have data protection and backup, replication and disaster recovery, and an efficient way to find changes since last replication. Snapshots also help to meet Compliance requirements and have a stable source image for replication.

Unlocking the power of semi-structured data with the JSON Type in BigQuery

Explore the architectural concepts that power BigQuery’s support for semi-structured JSON, which eliminates the need for complex preprocessing and provides schema flexibility, intuitive querying and the scalability benefits, at large scale.

10 Top Data Mapping Tools for 2024

The world of data is constantly evolving and advancing, bringing exciting new opportunities for those who wrangle it. To make the most of your critical data, you must first map it. However, an increasing number of sources and formats results in a tricky mapping process. Data mapping tools can simplify this process, ensuring you can visualize, analyze, and interpret data accurately and efficiently.

Data Wrangling vs. ETL: What's the Difference?

In data engineering and analytics, effectively wrangling data is not just a skill but a necessity. Large volumes of complex data have grown exponentially as businesses and technologies evolve. This surge has brought two critical processes in data management to the front line: Data Wrangling and Extract, Transform, Load (ETL). Understanding these processes is pivotal for any organization leveraging data for a strategic advantage.

Hello, Continual: The AI copilot platform for applications

If you’re building an application today, one of your top product priorities for 2024 is almost certainly adding an AI copilot to your application. AI copilots – AI assistants powered by large language models (LLMs) and deeply embedded into applications – offer one of the most compelling opportunities to reimagine applications since the dawn of the internet.