Micro Batch Processing
The Crucial Role of Streaming Technology for Business
This white paper walks through the business level variables that are driving how organizations can adapt and thrive in a world dominated by streaming data, covering not only the IT implications but operational use cases as well.
A Reference Guide to Stream Processing
This paper is intended for software architects and developers who are planning or building systems utilizing stream processing, fast batch processing, data processing microservices, or distributed java.util.stream.
Should You Adopt a Streaming-First Architecture?
Traditional data warehousing has long used batch jobs to move, load and transform data for decision making. But as data volumes rise and the velocity of business grows, more organizations are opting to move and process data in real-time or near real-time. Batch processing is giving way to mini-batches fueled by replication and change data capture as well as stream processing in which events are captured, processed, and analyzed as they happen.
Many companies today have a mix of batch, mini-batch, and stream-based processing. The question is whether organizations should embrace streaming as the default mode of data acquisition? Several vendors are now pitching streaming-first architectures and extolling the benefits of processing data in real-time. This webinar will explore the pros and cons of a streaming-first architecture and examine industry trends in its adoption.
Enriching Data Streams with Hazelcast Jet
Enrichment is a frequent technical use case in stream processing. It is a translation of the traditional star schema into the low-latency continuous processing world: the stream of facts is enriched using slowly changing dimension data.
In this webinar you will learn how to do high-performance stream enrichment. We’ll discuss multiple ways of enrichment, explaining the trade-offs. We will feature hands-on examples and live coding using Hazelcast Jet 0.7.
The Evolution of Stream Processing and Top Use Cases
Stream processing is a hot topic right now, especially for any organization looking to provide insights faster. But what does it mean for users of Java applications, microservices, and in-memory computing?
In this webinar, we will cover the evolution of stream processing and in-memory related to big data technologies and why it is the logical next step for in-memory processing projects.