Data Sketching - ACM Queue
May 31, 2017 Volume 15, issue 2 PDF Data Sketching The approximate approach is often faster and more efficient. Graham Cormode Do you ever feel overwhelmed by an unending stream of information? It can seem like a barrage of new email and text messages demands constant attention, and there are also phone calls to pick up, articles to read, and knocks on the door to answer. Putting these pieces toge
Probabilistic Data Structures and Breaking Down Big Sequence Data - O'Reilly Media Free, Live Events
QCon São Paulo: Real-Time Analytics with Spark Streaming
The document provides an overview of real-time analytics using Spark Streaming. It discusses Spark Streaming's micro-batch approach of treating streaming data as a series of small batch jobs. This allows for low-latency analysis while integrating streaming and batch processing. The document also covers Spark Streaming's fault tolerance mechanisms and provides several examples of companies like Pea
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GitHub - tdunning/t-digest: A new data structure for accurate on-line accumulation of rank-based statistics such as quantiles and trimmed means
A collection of links for streaming algorithms and data structures
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CMSC828E: Probabilistic and Graph Data Management; Large-scale Analytics
Probabilistic Data Structures for Realtime Analytics - Martin Laprise on Vimeo
