Remove apache-kafka-talk-series introduction-to-stream-processing-with-apache-kafka
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A Gentle Introduction to Analytical Stream Processing

Towards Data Science

Building a Mental Model for Engineers and Anyone in Between Stream Processing can be handled gently and with care, or wildly, and almost out of control! By processing a smaller set of data, more often , you effectively divide and conquer a data problem that may otherwise be cost and time prohibitive.

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How to Become a Data Engineer in 2024?

Knowledge Hut

Data Engineering is typically a software engineering role that focuses deeply on data – namely, data workflows, data pipelines, and the ETL (Extract, Transform, Load) process. According to reports by DICE Insights, the job of a Data Engineer is considered the top job in the technology industry in the third quarter of 2020. And many more.

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Making Sense of Real-Time Analytics on Streaming Data, Part 1: The Landscape

Rockset

Introduction Let’s get this out of the way at the beginning: understanding effective streaming data architectures is hard, and understanding how to make use of streaming data for analytics is really hard. Kafka or Kinesis ? Stream processing or an OLAP database? What Is Streaming Data?

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Stream Processing vs. Real-Time Analytics Databases

Rockset

This is part two in Rockset’s Making Sense of Real-Time Analytics on Streaming Data series. In part 1 , we covered the technology landscape for real-time analytics on streaming data. In this post, we’ll explore the differences between real-time analytics databases and stream processing frameworks.

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Understand your data requirements by David Hope

Scott Logic

In this post we’ll take a whistle-stop tour around the topic of data, going from sources and types through to use cases and the technologies involved in processing data. Introduction Over the last decade we’ve heard more and more about data.

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Operational Analytics: What every software engineer should know about low-latency queries on large data sets

Rockset

Introduction to Operational Analytics Operational analytics is a very specific term for a type of analytics which focuses on improving existing operations. This type of analytics, like others, involves the use of various data mining and data aggregation tools to get more transparent information for business planning.