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Study mode:
on
1
Introduction
2
What is realtime
3
Queries
4
Realtime
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Example
6
Design a solution
7
Maintain a counter
8
Precompute
9
Twosies
10
Solutions
11
Indexing
12
Catalyst
13
Features
14
Sequential Rights
15
Data Structures
16
Commit Log
17
Merge
18
Cost
19
Other requirements
20
Multidate support
21
Low Latency
22
Writing Code
23
Kinetics
24
Incremental Analytics
25
Replay
26
Balance
27
Counter replicas
28
Solid state disks
Description:
Explore real-time analytics using Apache Cassandra in this conference talk from GOTO 2012. Delve into the concept of real-time data processing, learn about query optimization, and discover how to design effective solutions for maintaining counters and precomputing results. Examine the Twosies approach and various indexing techniques, including Catalyst. Gain insights into data structures, commit logs, and merge costs. Address additional requirements such as multi-date support and low latency. Learn how to write efficient code using Kinetics and implement incremental analytics. Understand the importance of replay, balancing counter replicas, and leveraging solid-state disks for optimal performance in real-time analytics systems.

Real-Time Analytics with Apache Cassandra

GOTO Conferences
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