Real-time Analytics with Stream Processing and OLAP

RisingWave and Apache Pinot

Gartner States:

“By the end of 2024, 75% of organizations will shift from piloting to operationalizing artificial intelligence (AI), driving a 5 times increase in streaming data and analytics infrastructures.”

Gartner Identifies Top 10 Data and Analytics Technology Trends for 2020

There are several reasons why data streaming is becoming more popular:

• The increasing volume and velocity of data: The amount of data generated by businesses and individuals is growing exponentially. This data can be used to gain insights into customer behavior, identify trends, and improve decision-making.
• The need for real-time insights: Businesses need to be able to make decisions based on real-time data. This is especially important in industries such as finance, healthcare, and manufacturing, where timely choices can significantly impact the bottom line.
• The availability of scalable and affordable streaming platforms: There are a number of scalable and affordable streaming platforms available, which makes it easier for businesses to implement data streaming solutions.

In this post, I’ll be showing you how to build a streaming stack that supports…