Data processing systems can be broadly classified into 2 categories. batch processing & stream processing. Enterprises often use both streaming and batch processing systems because they serve different purposes and [...]
Consider storage service where you store and retrieve files. In on-prem environments, HDFS(Hadoop Distributed File System) has been one of the most common storage platforms to use. As for any [...]
In today's data-driven world, organizations are seeking effective and reliable ways to extract insights to make timely decisions based on the ever-increasing volume and velocity of data. ETL (Extract, Transform, [...]
The Current State of Streaming Data The adoption of Streaming data technologies has grown exponentially over the past 5 years. Every industry understands the importance of accessing and understanding data [...]
What is Apache Flink? Apache Flink is a distributed data processing engine that is used for both batch processing and stream processing. Although Flink supports both batch and streaming processing [...]
Rapid growth in the volume, velocity and variety of data has made data processing a critical component of modern business operations. Batch processing and stream processing are two major and [...]
Event streaming infrastructure has become an important part of modern data stack in many organizations enabling them to rapidly ingest and process streaming data to gain real-time insight and take [...]
