Analytics

How to Tune Kafka Connect Source Connectors to Optimize Throughput

Kafka Connect is an open source data integration tool that simplifies the process of streaming data between Apache Kafka® and other systems. Kafka Connect has two types of connectors: source connectors and sink connectors. Source connectors allow you to read data from various sources and write it to Kafka topics. Sink connectors send data from the topics to another endpoint.

Active Data Warehouses vs. Traditional Data Warehouses

In the digital age, data is the lifeblood of any organization. The way you store and analyze your data can significantly impact your success. This is where data warehouses come into the picture. Data warehouses are essential for businesses of all sizes, as they provide a central repository for data from a variety of sources, which can then be used for analysis and reporting. This data can be used to make better business decisions, improve operational efficiency, and identify new opportunities.

ThoughtSpot for the Connected Google Workspace

I’m calling it now. The next battleground for analytics adoption among business users will be the productivity suite. Let’s unpack that statement by considering these two examples: Traditional BI has always forced you down a one-way street for answers—drop what you are doing, login to the BI tool, and pray to the data deities that you can find the answer you’re looking for.

Data Migration with Microsoft SQL Server ETL Tools

Data integration and migration can be quite overwhelming and complex. It's easy to underestimate the complexities of managing data between different sources and destinations. However, diving into it without thorough planning and the right ETL (Extract, Transform, Load) setup could impact your business goals and deadlines, or even exceed your budget.

Introducing Confluent Platform 7.5

Introducing Confluent Platform version 7.5, which offers a range of new features to enhance security, improve developer efficacy, and strengthen disaster recovery capabilities. Building on the innovative feature set delivered in previous releases, Confluent Platform 7.5 makes enhancements to three categories of features: The following explores each of these enhancements and dives deep into the major feature updates and benefits.

A Best-In-Class Analytics Platform: Yellowfin GM Update To Customers

Today, I’d like to share updates on the strategic direction of Yellowfin and highlight how our investment aligns with our commitment to embedded analytics and enterprise BI. We recently released Yellowfin 9.9 which continues to improve the quality of our powerful platform. In the last several years Yellowfin added many new features, and we want to make sure that they work flawlessly. Based on your positive reviews, we are pleased to report our excellent progress.

What is a Data Warehouse & Why Are They Important?

In today's digital era, a data warehouse stands as a pivotal cornerstone for businesses. A data warehouse is defined as a digital repository that houses an organization's vast amounts of data, it serves as both a vault and a library, ensuring data is not only safely stored but also easily accessible. Being able to access your company’s data is critical to business success.

[Webinar Recording] ClearML + Apache DolphinScheduler: A New Approach to MLOps Workflows

We are excited to present ClearML + Apache DolphinScheduler: two powerful tools for implementing an end-to-end MLOps practice. ClearML is a unified, end-to-end platform for continuous ML, providing a complete solution from data management and model training to model deployment, and Apache DolphinScheduler is an easy-to-use, feature-rich distributed workflow scheduling platform that can help users easily manage and orchestrate complex machine learning workflows. When used together, machine learning practitioners achieve seamless integration of data management and process control.