Remove 2005 Remove Data Management Remove Data Process Remove Hadoop
article thumbnail

Functional Data Engineering - A Blueprint

Data Engineering Weekly

The Rise of Data Modeling Data modeling has been one of the hot topics in Data LinkedIn. Hadoop put forward the schema-on-read strategy that leads to the disruption of data modeling techniques as we know until then. Let’s reference what the data world looked like before the Hadoop era.

article thumbnail

Cloud Native: What It Means in the Data World

Rockset

If a data processing task that takes 100 minutes on a single CPU could be reconfigured to run in parallel on 100 CPUs in 1 minute, then the price of computing this task would remain the same, but the speedup would be tremendous! Hadoop and RocksDB are two examples I’ve had the privilege of working on personally.

Cloud 40
article thumbnail

20 Best Open Source Big Data Projects to Contribute on GitHub

ProjectPro

With SQL, machine learning, real-time data streaming, graph processing, and other features, this leads to incredibly rapid big data processing. DataFrames are used by Spark SQL to accommodate structured and semi-structured data. Online Analytical Processing(OLAP) is a term used to describe these workloads.