- Building AI Models for High-Frequency Streaming Data – Part Two - Dec 10, 2020.
Many data scientists have implemented machine or deep learning algorithms on static data or in batch, but what considerations must you make when building models for a streaming environment? In this post, we will discuss these considerations.
MathWorks, MATLAB, Streaming Analytics, Time Series
- Building AI Models for High-Frequency Streaming Data - Dec 2, 2020.
This post is the first in a two-part series on AI for streaming data. Here, we’ll walk through strategies for aligning times and resampling the data.
MathWorks, MATLAB, Streaming Analytics, Time Series
- Event Processing: Three Important Open Problems - May 28, 2018.
This article summarizes the three most important problems to be solved in event processing. The facts in this article are supported by a recent survey and an analysis conducted on the industry trends.
Big Data, Data Analytics, Insights, Real-time, SQL, Streaming Analytics
Apache Flink: The Next Distributed Data Processing Revolution? - Jul 5, 2017.
Will Apache Flink displace Apache Spark as the new champion of Big Data Processing? We compare Spark and Apache Flink performance for batch processing and stream processing.
Apache Spark, Big Data, Flink, Streaming Analytics
- Getting started with Python and Apache Flink - Nov 13, 2015.
Apache Flink built on top of the distributed streaming dataflow architecture, which helps to crunch massive velocity and volume data sets. With version 1.0 it provided python API, learn how to write a simple Flink application in python.
Flink, Python, Realtime Analytics, Streaming Analytics, Will McGinnis
- Fast Big Data: Apache Flink vs Apache Spark for Streaming Data - Nov 10, 2015.
Real-time stream processing has been gaining momentum in recent past, and major tools which are enabling it are Apache Spark and Apache Flink. Learn with the help of a case study about Data processing, Data Flow, Data management using these tools.
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Apache Spark, Big Data, Flink, Streaming Analytics
- Patterns for Streaming Realtime Analytics - Aug 5, 2015.
Design patterns are well-known for solving the recurrent problems in software engineering, on similar lines we can have Streaming Realtime Analytics patterns and avoid reinventing the wheel. Here, you can see the major patterns we found out for it.
Frequent Pattern Mining, Realtime Analytics, Streaming Analytics
- SQL-like Query Language for Real-time Streaming Analytics - Mar 12, 2015.
We need SQL like query language for Realtime Streaming Analytics to be expressive, short, fast, define core operations that cover 90% of problems, and to be easy to follow and learn.
Real-time, Realtime Analytics, SQL, Stream Mining, Streaming Analytics
