Big Data vs. Fast Data: Breaking the Mold of Database Thinking
The big data versus fast data debate is not cut and dry. Successful organizations need a combination of both
The big data versus fast data debate is not cut and dry. Successful organizations need a combination of both
The BI pipeline built on top of Hadoop - from HDFS to the multitude of SQL-on-Hadoop systems and down to the BI tool - has become strained and slow.
Organizations will rely on these cloud services for more ephemeral types of workloads involving, for example, the building of artificial intelligence
When trying to determine where to carry out analysis, application characteristics and edge-cloud transfer bandwidth are the key factors affecting
Startup's full-stack operations platform assists enterprises with data ingestion, migration, processing and
How one big retail chain moved its data warehouse to a Hadoop
One of the two Hadoop platforms from the merging firms will win out. What will it mean for
LinkedIn tool reduces the amount of time required to create AI models by making massive amounts of data stored in Hadoop more
Arcadia's update makes it possible for end-users to query all the data stored in Hadoop versus requiring IT organizations to prepare
As Apache Kafka-driven projects become more complex, Hortonworks aims to simplify it with its new Streams Messaging Manager