Streaming Data
Real-Time Analytics: Techniques to Analyze and Visualize Streaming Data eBooks & eLearning
Posted by ksveta6 at Aug. 12, 2014
Real-Time Analytics: Techniques to Analyze and Visualize Streaming Data by Byron Ellis
2014 | ISBN: 1118837916 | English | 432 pages | PDF | 4 MB
2014 | ISBN: 1118837916 | English | 432 pages | PDF | 4 MB
Real-Time Analytics: Techniques to Analyze and Visualize Streaming Data (Repost) eBooks & eLearning
Posted by tukotikko at Jan. 12, 2015
Real-Time Analytics: Techniques to Analyze and Visualize Streaming Data By Byron Ellis
2014 | 432 Pages | ISBN: 1118837916 | EPUB + MOBI | 3 MB + 6 MB
2014 | 432 Pages | ISBN: 1118837916 | EPUB + MOBI | 3 MB + 6 MB
Streaming Data Pipeline using Confluent & Azure Platforms eBooks & eLearning
Posted by lucky_aut at Sept. 24, 2025
Streaming Data Pipeline using Confluent & Azure Platforms
Published 9/2025
Duration: 1h 32m | .MP4 1920x1080 30 fps(r) | AAC, 44100 Hz, 2ch | 1.44 GB
Genre: eLearning | Language: English
Published 9/2025
Duration: 1h 32m | .MP4 1920x1080 30 fps(r) | AAC, 44100 Hz, 2ch | 1.44 GB
Genre: eLearning | Language: English
Hands on course - Real Time Data Streaming Pipeline using Kafka, Azure Functions, Cosmos DB & Power BI from scratch
Real-Time Analytics: Techniques to Analyze and Visualize Streaming Data (repost) eBooks & eLearning
Posted by interes at Dec. 14, 2016
Real-Time Analytics: Techniques to Analyze and Visualize Streaming Data by Byron Ellis
English | 2014 | ISBN: 1118837916 | 432 pages | PDF | 4 MB
English | 2014 | ISBN: 1118837916 | 432 pages | PDF | 4 MB
Real-Time Analytics: Techniques to Analyze and Visualize Streaming Data eBooks & eLearning
Posted by arundhati at April 16, 2020
Byron Ellis, "Real-Time Analytics: Techniques to Analyze and Visualize Streaming Data"
English | ISBN: 1118837916 | 2014 | 432 pages | EPUB | 3 MB
English | ISBN: 1118837916 | 2014 | 432 pages | EPUB | 3 MB
Real-Time Analytics: Techniques to Analyze and Visualize Streaming Data eBooks & eLearning
Posted by bookwyrm at July 22, 2014
Real-Time Analytics: Techniques to Analyze and Visualize Streaming Data By Byron Ellis
2014 | 432 Pages | ISBN: 1118837916 | EPUB + MOBI | 3 MB + 6 MB
2014 | 432 Pages | ISBN: 1118837916 | EPUB + MOBI | 3 MB + 6 MB
Real-Time Analytics: Techniques to Analyze and Visualize Streaming Data (repost) eBooks & eLearning
Posted by interes at May 4, 2019
Real-Time Analytics: Techniques to Analyze and Visualize Streaming Data by Byron Ellis
English | 2014 | ISBN: 1118837916 | 432 pages | PDF | 4 MB
English | 2014 | ISBN: 1118837916 | 432 pages | PDF | 4 MB
Windowing and Join Operations on Streaming Data with Apache Spark on Databricks eBooks & eLearning
Posted by IrGens at March 3, 2025
Windowing and Join Operations on Streaming Data with Apache Spark on Databricks
.MP4, AVC, 1280x720, 30 fps | English, AAC, 2 Ch | 2h 2m | 257 MB
Instructor: Janani Ravi
.MP4, AVC, 1280x720, 30 fps | English, AAC, 2 Ch | 2h 2m | 257 MB
Instructor: Janani Ravi
Streaming Data: Understanding the real-time pipeline eBooks & eLearning
Posted by First1 at Aug. 4, 2017
Streaming Data: Understanding the real-time pipeline by Andrew Psaltis
English | June 22nd, 2017 | ISBN: 1617292281 | 219 pages | True PDF | 3.66 MB
English | June 22nd, 2017 | ISBN: 1617292281 | 219 pages | True PDF | 3.66 MB
Streaming Data introduces the concepts and requirements of streaming and real-time data systems. The book is an idea-rich tutorial that teaches you to think about how to efficiently interact with fast-flowing data.
Streaming Data Mesh (5th Early Release) eBooks & eLearning
Posted by GFX_MAN at Dec. 6, 2022
Streaming Data Mesh (5th Early Release)
English | 2022 | ISBN: 9781098130718 | 200 pages | EPUB | 15.3 MB
English | 2022 | ISBN: 9781098130718 | 200 pages | EPUB | 15.3 MB
Data lakes and warehouses have become increasingly fragile, costly, and difficult to maintain as data gets bigger and moves faster. Data meshes can help your organization decentralize data, giving ownership back to the engineers who produced it. This book provides a concise yet comprehensive overview of data mesh patterns for streaming and real-time data services.