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Analytics
Many Faces of Real-time Analytics
Many Faces of Real-time Analytics
Not all real-time analytics systems are made equal by design. We can classify them into four groups based on five dimensions.
Dunith Danushka
Oct 2, 2023
Making sense of access logs with the Modern Streaming Stack
Making sense of access logs with the Modern Streaming Stack
Building a DIY analytics stack with Apache Kafka, Faust, Apache Pinot, and Superset
Mark Needham
Sep 28, 2022
Completeness, Speed, and Cost — Three Knobs Controlling Your Data Analytics Strategy
Completeness, Speed, and Cost — Three Knobs Controlling Your Data Analytics Strategy
How do speed, accuracy, and cost-effectiveness influence the choice between batch and streaming analytics?
Dunith Danushka
Jun 27, 2022
Building Reference Architectures for User-Facing Analytics
Building Reference Architectures for User-Facing Analytics
Building scalable analytics infrastructure to deliver low-latency user-facing analytics with Apache Pinot, Kafka, and Debezium
Dunith Danushka
Jan 27, 2022
The Origins of OLAP Databases and Where Are They Heading in 2022?
The Origins of OLAP Databases and Where Are They Heading in 2022?
An attempt to capture the entire OLAP and data warehousing landscape into a single post, compare different technologies and predict what…
Dunith Danushka
Dec 9, 2021
Building a Serverless Data Lake in AWS to Capture Product Engagement Metrics
Building a Serverless Data Lake in AWS to Capture Product Engagement Metrics
What is product analytics? Why, and to whom it matters? How to use Segment to instrument digital products and route metrics to a S3 data…
Dunith Danushka
Nov 28, 2021
Architecting a Kafka-centric Retail Analytics Platform — Part 3
Architecting a Kafka-centric Retail Analytics Platform — Part 3
What are the different real-time processing methods available to uncover insights from the data ingested into Kafka?
Dunith Danushka
Nov 22, 2021
Architecting a Kafka-centric Retail Analytics Platform — Part 2
Architecting a Kafka-centric Retail Analytics Platform — Part 2
The layered architecture of the platform, what types of data exist in the retail domain, and how that should be ingested into Kafka using…
Dunith Danushka
Oct 31, 2021
Architecting a Kafka-native Retail Analytics Platform — Part 1
Architecting a Kafka-native Retail Analytics Platform — Part 1
What is retail analytics and why it matters to your business? How to build Kafka-centric analytics platform that ingests and processes…
Dunith Danushka
Oct 24, 2021
Analyzing SpaceX Launch Statistics With Apache Pinot and Streamlit
Analyzing SpaceX Launch Statistics With Apache Pinot and Streamlit
How to perform an exploratory data analysis with Apache Pinot and visualize the results with Streamlit, along with your favorite…
Dunith Danushka
Oct 18, 2021
What Do Moneyball and Data-Driven Digital Products Have in Common?
What Do Moneyball and Data-Driven Digital Products Have in Common?
What are the three levels analytics you want to focus on running a successful data-driven digital product?
Dunith Danushka
Oct 3, 2021
Building a Low-Latency Fitness Leaderboard with Apache Pinot
Building a Low-Latency Fitness Leaderboard with Apache Pinot
Use Apache Pinot to ingest fitness band events from a Kafka topic and make them available for immediate querying from a leaderboard web…
Dunith Danushka
Jul 31, 2021
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