Performance of Scylla running on IBM Power Systems

Scylla is an open source NoSQL database that is compatible with Apache Cassandra. Scylla offers several key advantages over Cassandra such as scalability and better performance. Scylla was tested with IBM POWER8 processor-based servers and superior throughput was achieved with both database read and write operations. This article describes the tests that were done with IBM POWER processor-based servers, the performance results, and the value of IBM POWER processor-based servers for Scylla.

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ISV solution ecosystem for Hortonworks on IBM Power Systems

This article provides a list of ISV solutions that can augment the capabilities of
Hortonworks Data Platform (HDP) running on Linux on IBM Power Systems. Solutions cover
many categories including business intelligence (BI) tools, advanced analytics, and so
on.

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Unit 23: Java in the cloud

Learn the structure, syntax, and programming paradigm of the Java
platform and language. Start by mastering the essentials of object-oriented
programming on the Java platform, and progress incrementally to the
more-sophisticated syntax and libraries that you need to develop complex,
real-world Java applications.

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On demand data in Python, Part 3: Coroutines and asyncio

Much of the data in modern big data applications comes from the web or
databases. You need to write code to process this at scale, but you don’t want
everything to grind to a halt in the process. Python 3 introduced a system for
cooperative multitasking, which alleviates this problem, using asynchronous
coroutines. Asynchronous coroutines build on similar concepts to generators.
They are objects created from special functions which can be suspended and
resumed. They make it possible to break down complex and inefficient
processing into simple tasks that cooperate to maximize trade-offs between CPU
and input/output. Learn these core techniques following a simple sequence of
examples.

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