Remove Analytics Remove Blockchain Remove Efficiency Remove Scalability
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Even more amazing papers at VLDB 2019 (that I didn’t have space to cover yet)

The Morning Paper

Could it be Analyzing efficient stream processing on modern hardware ? Hyper Dimension Shuffle describes how Microsoft improved the cost of data shuffling, one of the most costly operations, in their petabyte-scale internal big data analytics platform, SCOPE. BlockchainDB – it’s a blockchain underneath, and a database on top.

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Monitoring Distributed Systems

Dotcom-Montior

Blockchain is a good example of this. Scalability. The interconnections between nodes and the rest of the system makes it possible to communicate and share data efficiently. Peer-to-Peer. In this type of network, workloads are distributed across hundreds or thousands of different machines. Three-Tier. Reliability.

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Should You Use ClickHouse as a Main Operational Database?

Percona

What if we use ClickHouse (which is a columnar analytical database) as our main datastore? Well, typically, an analytical database is not a replacement for a transactional or key/value datastore. However, ClickHouse is super efficient for timeseries and provides “sharding” out of the box (scalability beyond one node).