Introducing Versioned State Store in Kafka Streams

Since the introduction of stream processing, there have been three certainties in life: death, taxes, and out-of-order data. As a stream processing library built for Apache Kafka, Kafka Streams processes data in offset order. When out-of-order data is present, offset order differs from timestamp order and care must be taken to ensure that processing results respect timestamp order where appropriate.

10 Top MySQL Reporting Tools for Data Analysis

Data is meaningless unless you draw actionable insights from it. MySQL reporting tools can help you gather the insights you need to make clear business decisions and drive growth. From tracking KPIs to identifying trends and patterns, MySQL reporting tools can unlock the true potential of the data stored within your database.

Sidestep the BI BS: 6 questions to ask before signing a contract

I recently watched the movie Air. I absolutely loved it. Note: if you don’t want spoilers, you may want to skip the next two paragraphs. Air is a story chronicling how Nike, the underdog in those days, steals Michael Jordan away from Adidas and Converse. With the cards stacked against Nike—they had a much smaller budget than their big-brand competitor, Adidas—it was conventionally assumed that Michael was better off signing with a more established brand.

What is Yellowfin Broadcast? Adding Call-to-Actions to Your BI

One of the most common challenges of analytics adoption is ensuring that your customers or end-users can see and extract value from their data and reporting tools. Providing people with new and improved embedded analytics tools is unfortunately not enough to guarantee that everyone will be able to use them without additional assistance or encouragement.

Bringing Capacity Model Pricing to Qlik Analytics

Today we have exciting news to share with the debut of our new capacity model pricing for Qlik Analytics! This is an extension of our capacity model we introduced this spring for data integration. This is also the latest in a series of evolutions here at Qlik aimed at helping organizations more easily use data and analytics to better inform business decisions across any part of their organization.

The Ultimate Guide to HDFS for Big Data Processing

Discover how the Hadoop Distributed File System (HDFS) revolutionizes big data processing by efficiently storing and retrieving massive amounts of data across distributed computing clusters. This comprehensive guide offers an in-depth overview of HDFS, uncovering its inner workings and exploring its powerful applications for big data processing. Learn essential best practices to maximize the potential of HDFS, tackle common challenges, and gain valuable insights for a successful implementation.