Explore why lakehouses are the data architecture of the future with the father of the data warehouse, Bill Inmon. Try this notebook in...

Generally, a session is an interaction between two or more entities. In computer parlance, its usage is prominent in the realm of networked...

Continuing with our bi-weekly digest series, here’s our recap of what’s transpired over the last two weeks with Apache Spark since our previous...

Introduction Apache Spark is fast, but applications such as preliminary data exploration need to be even faster and are willing to sacrifice some...

Many complex stream processing pipelines must maintain state across a period of time. For example, if you are interested in understanding user behavior...

With so many distributed stream processing engines available, people often ask us about the unique benefits of Apache Spark Streaming . From early...

Earlier, we presented new visualizations introduced in Apache Spark 1.4.0 to understand the behavior of Spark applications. Continuing the theme, this blog highlights...

Apache Kafka is rapidly becoming one of the most popular open source stream ingestion platforms. We see the same trend among the users...

Many real world data are acquired sequentially over time, whether messages from social media users, time series from wearable sensors, or — in...