How to estimate software development time?

 Real-time Data Streaming is data that is created continuously by thousands of data sources, which usually sends data to registers simultaneously, and in small sizes.

Data IngestionThe first point to create when seeing streaming in the data lake is that though many of the offered streaming technologies are very flexible and can be used in many situations, a well-executed data lake offers strict instructions and progressions around ingestion.

KafkaKafka is the fresher of the data streaming technologies but is speedily gaining traction as a strong, accessible and fault-tolerant messaging method.

FlumeFlume has generally been the one choice for flowing ingest and as such, is well-established in the Hadoop ecosystem and is sustained in all marketable Hadoop deliveries.

This means that Storm has very small latency and is well-matched to information that must be consumed as a sole entity.

SparkSpark is broadly known for its in-memory treating abilities and the Spark Streaming technologies works on much of a similar basis.