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Tag: Kafka

Real-Time Data Streaming, Kafka and Analytics Part 3: Effective Planning for Data Streaming Improves Data Analytics

Data stream processing is defined as a system performing transformations for creating analytics on data inside a stream. In Part 1 of this series, we defined data streaming to provide an understanding of its importance. Read more…

Real-Time Data Streaming, Kafka and Analytics, Part 2: Going Beyond Pure Streaming

Data transaction streaming is managed through many platforms, with one of the most common being Apache Kafka. In our first article in this data streaming series, we delved into the definition of data transaction and stre Read more…

Real-Time Data Streaming, Kafka, and Analytics Part One: Data Streaming 101

The terms “real-time data” and “streaming data” are the latest catch phrases being bandied about by almost every data vendor and company. Everyone wants the world to know that they have access to and are using th Read more…

Top 12 Datanami Stories of 2019

2019 was an eventful year in the big data space, with enough intersecting story lines to keep a big data watcher enmeshed for hours – if not days -- on end. We did our best to trace the story lines out for you, dear re Read more…

Confluent Reveals ksqlDB, a Streaming Database Built on Kafka

Confluent narrowed the distance separating Kafka-esque stream data processing and traditional database technology with today’s unveiling of ksqlDB, a new database built atop Kafka that the company intends to be the fut Read more…

Kafka Transforming Into ‘Event Streaming Database’

Don't look now, but Kafka is transforming into a database. That's the new direction the popular event streaming platform is headed, according to Confluent CEO Jay Kreps keynote this morning, in which he gave a glimpse in Read more…

Neo4j Gets Hooks Into Kafka

Today at the Kafka Summit, Neo4j unveiled a new product called Neo4j Streams that will make it easier to connect streaming data from Apache Kafka with the company's graph database. Analytics use cases, such as financial Read more…

When Not to Use a Database, As Told by Jun Rao

Databases are powerful abstractions that allow people and programs to manipulate large amounts of data in a predictable, repeatable way. There's a good reason why SQL is so important to modern data processing. But in som Read more…

Kafka Spawns Open-Source KarelDB

Apache Kafka and its accompanying key-value store are being used to provide persistent storage for a growing list of relational databases. Most used a key-value store as a foundation. Among the latest to emerge is Kar Read more…

Rockset Connects Kafka with SQL

Rockset, the serverless search and analytics startup, is extending the ability to run SQL on NoSQL data with real-time event analysis on Apache Kafka. The company, based in San Mateo, Calif., said it is coming at the Read more…

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