The Role of Materialized Views in Modern Data Stream Processing Architectures + RisingWaveIncremental computation in data streaming means updating results as fresh data comes in, without redoing all calculations from the…Feb 202Feb 202
Unlocking the Power of Patterns in Event Stream Processing (ESP): The Critical Role of Apache…We call this an event when a button is pressed, a sensor detects a temperature change, or a transaction flows through. An event is an…Feb 510Feb 510
Real-Time Redefined: Apache Flink and Apache Paimon Influence Data Streaming’s FutureApache Paimon is made to function well with constantly flowing data, which is typical of contemporary systems like financial markets…Jan 22Jan 22
Revolutionize Stream Processing with the Power of Data FabricA data fabric is an innovative system designed to seamlessly integrate and organize data from multiple sources, making it easily…Jan 4Jan 4
Bridging the Gap: Unlocking the Power of HDFS-Based Data Lakes with Streaming DatabasesBig data technologies’ quick development has brought attention to the necessity of a smooth transition between real-time data analytics and…Dec 24, 2024Dec 24, 2024
Which Flow Is Best for Your Data Needs: Time Series vs. Streaming DatabasesData is being generated from various sources, including electronic devices, machines, and social media, across all industries. However…Dec 10, 2024Dec 10, 2024
Protecting Your Data Pipeline: Avoid Apache Kafka Outages with Topic and Configuration BackupsAn Apache Kafka outage occurs when a Kafka cluster or some of its components fail, resulting in interruption or degradation of service…Nov 27, 2024Nov 27, 2024
The Significance of Complex Event Processing (CEP) with RisingWave for Delivering Accurate Business…Complex event processing (CEP) is a highly effective and optimized mechanism that combines several sources of information and instantly…Sep 9, 20241Sep 9, 20241
Integrating Apache Kafka in KRaft Mode with RisingWave for Event Stream ProcessingOver the past few years, Apache Kafka has emerged as the top event streaming platform for streaming data/event ingestion. However, in…Aug 22, 202421Aug 22, 202421
Criticality in Data Stream Processing and a Few Effective ApproachesIn the current fast-paced digital age, many data sources generate an unending flow of information, a never-ending torrent of facts and…Jul 27, 20241Jul 27, 20241
Partitioning Hot and Cold Data Tier in Apache Kafka Cluster for Optimal PerformanceAt first, data tiering was a tactic used by storage systems to reduce data storage costs. This involved grouping data that was not accessed…Jun 25, 2024Jun 25, 2024
Exploring Telemetry: Apache Kafka’s Role in Telemetry Data Management with OpenTelemetry as a…With the use of telemetry, data can be remotely measured and transmitted from multiple sources to a single place for control, analysis, and…May 25, 2024May 25, 2024
RisingWave- An unwrinkled road to event stream processingA distributed SQL streaming database called RisingWave makes processing streaming data easy, dependable, and efficient. Businesses can…May 15, 2024May 15, 2024
Transferring real-time data processed within Apache Flink to Kafka and ultimately to Druid for…Businesses can react quickly and effectively to user behavior patterns by using real-time analytics. This allows them to take advantage of…Apr 12, 2024Apr 12, 2024
Resolved “java.lang.NoClassDefFoundError:Apache Flink is a high-throughput, unified batch and stream processing engine, renowned for its capability to handle continuous data…Mar 26, 2024Mar 26, 2024
Streaming real-time data from Kafka 3.7.0 to Flink 1.18.1 for processingOver the past few years, Apache Kafka has emerged as the leading standard for streaming data. Fast-forward to the present day, Kafka has…Mar 7, 2024Mar 7, 2024
Why Apache Kafka and Apache Flink Work Well Together to Boost Real-Time Data AnalyticsWhen data is analyzed and processed in real time, it can yield insights and actionable information either instantly or with very little…Feb 14, 2024Feb 14, 2024
Integrating rate-limiting and backpressure strategies synergistically to handle and alleviate…Apache Kafka stands as a robust distributed streaming platform. However, like any system, it is imperative to proficiently oversee and…Jan 23, 2024Jan 23, 2024
Leveraging Apache Kafka for the Distribution of Large Messages (in GB size range)In today’s data-driven world, the capability to transport and circulate large amounts of data, especially video files, in real-time is…Dec 19, 2023Dec 19, 2023
The Zero Copy Principle With Apache KafkaThe Apache Kafka, a distributed event streaming technology, can process trillions of events each day and eventually demonstrate its…Nov 20, 2023Nov 20, 2023