With the Kafka Summit fast approaching, I thought it was time to get my hands dirty and see what it’s all about. As an advocate for IoT, I heard about Kafka but was too embedded in protocols like MQTT to investigate further. For the uninitiated (like me) both protocols seem extremely similar if not almost competing. However, I have learned this is far from the case and actually, in many cases, they complement one another.

Your IT team just finished resolving a complex incident, customer service finished their last call about the issue, and your business is back to being fully operational. Now that the storm has passed, you should be planning a postmortem to determine the cause of the incident and lessons learned. Postmortems require specific data that can highlight where your team is succeeding and where they can improve.

The terms “big data” have been tossed around so much in the past few years that many people see them as nothing but buzz words. And while it’s true, they are buzz words, they also signify a very large and very real trend that is happening across a huge number of industries right now. As technology continues to progress and evolve, big data plays an even bigger role and is causing sectors and businesses to reimagine processes and systems.