Kafka is usually compared with Flume as both these technologies can be used in Data Ingestion phase of a Data Pipeline. In this article, we
Real time analytics can he performed with both KSQL and KStreaming on Kafka (an event streaming platform) but How do we decide which one is
Introduction Data Lakes built using Hadoop framework were lacking a very basic functionality i.e. ACID compliance. Hive tried to overcome some of the limitations by
Introduction Nowadays whenever we think of ingesting/storing/processing/analysing streaming data, there is a leading Event Streaming Platform i.e. Apache Kafka. Confluent complements Apache Kafka by providing
Clickstream plays an important role in analyzing customer behavior. It also helps organizations in making future business strategies. So, let’s discuss real-time clickstream analysis using
Introduction At present, about 2.5 quintillion bytes (2500 PetaBytes) of data is produced by humans every day (Source: Social Media Today). Processing this much quantile
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