Category: Streaming/Kafka
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5 min read
Why Streaming Data Platforms Need True Real-Time Decisioning
Read more: Why Streaming Data Platforms Need True Real-Time DecisioningSimply put: in the year 2023 and for the foreseeable future, businesses need to be able to process and analyze data in real time to remain competitive. Streaming data platforms such as Google Cloud Platform, Microsoft Azure, Databricks, Snowflake, AWS Kinesis, and…
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5 min read
Top 5 Apache Kafka Use Cases: When to Use Kafka
Read more: Top 5 Apache Kafka Use Cases: When to Use KafkaApache Kafka is now the official gatekeeper of streaming data. It’s a distributed data store designed and perfectly calibrated to ingest and process streaming data (ie, data continuously generated by thousands of sources) in real time. As both the amount and value of…
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5 min read
Kafka Event Stream Processing at Scale: Common Kafka Challenges
Read more: Kafka Event Stream Processing at Scale: Common Kafka ChallengesEveryone has Kafka issues. Well, maybe not everyone, but most companies that end up using Apache Kafka in any meaningful way do end up facing certain Kafka challenges, most of which aren’t necessarily easy to resolve. First off — why are companies…
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5 min read
What is Streaming Data?
Read more: What is Streaming Data?Streaming data is data that flows in continuously from highly distributed sources. These data streams are constantly feeding data that data platforms can use or act upon dynamically and in real time, without the need to download or batch it first. Data streams…
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