Hi friends,

not sure if you have seen that already. An article about CouchDB was mentioned 
in NoSQL Weekly.

> How I setup OpenWhisk to use a local CouchDB 
> <http://nosqlweekly.us2.list-manage.com/track/click?u=72f68dcee17c92724bc7822fb&id=5cd9da6a5f&e=7965148edf>
Cheers

Andy

--
Andy Wenk
RockIt!

Hamburg / Germany

GPG public key: https://pgp.mit.edu/pks/lookup?op=get&search=0x4F1D0C59BC90917D 
<https://pgp.mit.edu/pks/lookup?op=get&search=0x4F1D0C59BC90917D>

> Begin forwarded message:
> 
> From: NoSQL Weekly <[email protected]>
> Subject: NoSQL Weekly - Issue 288
> Date: 2 June 2016 at 17:32:06 GMT+2
> To: <[email protected]>
> Reply-To: NoSQL Weekly <[email protected]>
> 
> Email not displaying correctly? View it in your browser. 
> <http://us2.campaign-archive2.com/?u=72f68dcee17c92724bc7822fb&id=0f7b260b57&e=7965148edf>
> 
> Welcome to issue 288 of NoSQL Weekly. Let's get straight to the links this 
> week.
> 
> From Our Sponsor
> 
>  
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> Articles, Tutorials and Talks
> 
> Apache Spark as a Compiler: Joining a Billion Rows per Second on a Laptop 
> <http://nosqlweekly.us2.list-manage.com/track/click?u=72f68dcee17c92724bc7822fb&id=9c944ac494&e=7965148edf>
> Deep dive into the new Tungsten execution engine.
> 
> Apache Cassandra on AWS 
> <http://nosqlweekly.us2.list-manage.com/track/click?u=72f68dcee17c92724bc7822fb&id=c28716fc80&e=7965148edf>
> This whitepaper provides an overview of Cassandra and its implementation on 
> the AWS cloud platform. It also talks about best practices and implementation 
> characteristics such as performance, durability, and security, and focuses on 
> AWS features relevant to Cassandra that help ensure scalability, high 
> availability, and disaster recovery in a cost-effective manner.
> 
> Docker: Rails Worker Process and Redis Service 
> <http://nosqlweekly.us2.list-manage.com/track/click?u=72f68dcee17c92724bc7822fb&id=864191d558&e=7965148edf>
> In this episode we show you how to run a worker service using docker. We will 
> be specifically focussing on sidekiq, and getting all that hooked up to the 
> redis service also running with docker.
> 
> Optimize Hadoop Cluster Performance with Various Storage Media 
> <http://nosqlweekly.us2.list-manage1.com/track/click?u=72f68dcee17c92724bc7822fb&id=efee6c39a5&e=7965148edf>
> This study covers HBase write performance on different storage media, 
> leveraging the hierarchy storage management support in HDFS to store 
> different categories of HBase data using the Yahoo! Cloud Serving Benchmark 
> (YCSB) as the test workload
> 
> Postgres & Redis Sitting In a Tree 
> <http://nosqlweekly.us2.list-manage.com/track/click?u=72f68dcee17c92724bc7822fb&id=d4ee619277&e=7965148edf>
> In today's world of polyglot persistence, it's likely that companies will be 
> using multiple data stores for storing and working with data based on the use 
> case. Typically a company will start with a relational database like Postgres 
> and then add Redis for more high velocity use-cases. What if you could tie 
> the two systems together to enable so much more?
> 
> How I setup OpenWhisk to use a local CouchDB 
> <http://nosqlweekly.us2.list-manage.com/track/click?u=72f68dcee17c92724bc7822fb&id=5cd9da6a5f&e=7965148edf>
> OpenWhisk is a cloud-first distributed event-based programming service that 
> lets you to execute code in response to events. When I went to set up 
> OpenWhisk and run it locally, I was presented with several choices for a 
> backend data store. Couch DB sounded like a good choice locally because I 
> could use it using both HTTP and HTTPS protocols. Follow along for 
> step-by-step instructions on how to install and configure a self-managed 
> CouchDB instance on your local machines.
> 
> 5 Useful Tips to Make Your Hadoop Deployment Robust 
> <http://nosqlweekly.us2.list-manage.com/track/click?u=72f68dcee17c92724bc7822fb&id=815fd875ae&e=7965148edf>
> When working with Hadoop for BI or other production purposes, the most 
> important component is obviously the data layer. Here are some simple tips 
> that you can implement to better manage and protect your data.
> 
> Introducing Pegasus: One Does Not Simply pip install hadoop 
> <http://nosqlweekly.us2.list-manage.com/track/click?u=72f68dcee17c92724bc7822fb&id=077e5445d1&e=7965148edf>
> This tutorial is a part of the DevOps series covering how to get started with 
> the leading open source distributed technologies. We will be stepping through 
> how to quickly provision EC2 instances on AWS and deploy Big Data 
> technologies with just a few lines of code.
> 
> Securing Couchbase Server using Let’s Encrypt x.509 Certificates 
> <http://nosqlweekly.us2.list-manage.com/track/click?u=72f68dcee17c92724bc7822fb&id=943d4bbaad&e=7965148edf>
> Securing data and access to data for application data is an important step in 
> securing your environment for client applications and database protection in 
> any sized environment. One of the simplest methods to secure data is the 
> access path from application to database server. Some databases employ closed 
> schemes for securing client communications for session connections to the 
> database but Couchbase server employs TLS certificates for securing 
> communications. This process can be complex to the uninitiated but Let’s 
> Encrypt, a new, free, certificate authority is aiming to change that and 
> bring security technology to everyone.
> 
> Monitoring Cassandra at Scale 
> <http://nosqlweekly.us2.list-manage.com/track/click?u=72f68dcee17c92724bc7822fb&id=e55a10bfc5&e=7965148edf>
> 
> Testing clustered applications – like CouchDB 
> <http://nosqlweekly.us2.list-manage.com/track/click?u=72f68dcee17c92724bc7822fb&id=580b9f7689&e=7965148edf>
> 
> Vacuum - REST API backed with Neo4j 
> <http://nosqlweekly.us2.list-manage1.com/track/click?u=72f68dcee17c92724bc7822fb&id=aed2887159&e=7965148edf>
> 
> This Week in Cassandra: Data Modeling in the Real World 5/27/2016 
> <http://nosqlweekly.us2.list-manage1.com/track/click?u=72f68dcee17c92724bc7822fb&id=45310aea22&e=7965148edf>
> 
> Semantic PDM: Using a Graph Data Model at Schleich 
> <http://nosqlweekly.us2.list-manage.com/track/click?u=72f68dcee17c92724bc7822fb&id=4976d5160d&e=7965148edf>
> 
> 
> Interesting Projects, Tools and Libraries
> 
> vacuum 
> <http://nosqlweekly.us2.list-manage2.com/track/click?u=72f68dcee17c92724bc7822fb&id=7ac11ea537&e=7965148edf>
> REST API which allows you to understand the dependency graph of your 
> microservices architecture.
> 
> ArangoDB-view 
> <http://nosqlweekly.us2.list-manage1.com/track/click?u=72f68dcee17c92724bc7822fb&id=2c56727531&e=7965148edf>
> ArangoDB-view is a poc webinterface for ArangoDB. Its based on a flex design.
> 
> scanamo 
> <http://nosqlweekly.us2.list-manage.com/track/click?u=72f68dcee17c92724bc7822fb&id=eced2e03af&e=7965148edf>
> Scanamo is a library to make using DynamoDB with Scala simpler and less 
> error-prone. The main focus is on making it easier to avoid mistakes and 
> typos by leveraging Scala's type system and some higher level abstractions.
> 
> Captain 
> <http://nosqlweekly.us2.list-manage.com/track/click?u=72f68dcee17c92724bc7822fb&id=66dfe9cd24&e=7965148edf>
> Captain is yet another service discovery implementation based on redis. 
> Captain sacrifices a little high availability for simplicity and performance.
> 
> object-cache 
> <http://nosqlweekly.us2.list-manage1.com/track/click?u=72f68dcee17c92724bc7822fb&id=37db4c3b20&e=7965148edf>
> Simple Ruby object caching solution using Redis as a backend.
> 
> 
> Upcoming Events and Webinars
> 
> Webinar: Gaining Insights into MongoDB with MongoDB Cloud Manager and New 
> Relic 
> <http://nosqlweekly.us2.list-manage.com/track/click?u=72f68dcee17c92724bc7822fb&id=e142cdff4c&e=7965148edf>
> In this session, we’ll show how to use MongoDB Cloud Manager to monitor the 
> performance of your cluster. Next, we’ll dive into New Relic and demonstrate 
> how you can view the same database specific metrics from within the APM tool.
> 
> Building smart bots with data analytics, machine learning, Spark and 
> Cassandra - New York, NY 
> <http://nosqlweekly.us2.list-manage.com/track/click?u=72f68dcee17c92724bc7822fb&id=d32d3c784f&e=7965148edf>
> What You'll Learn At This Meetup: Why bots? Bots can be used in many 
> scenarios - auto replies on IRC, Slack, Github and so on. But bots can also 
> be used to help you on daily tasks! Depending on your routine, smart bots may 
> be able to reply emails, answer questions on chat, remind you to do some 
> activities and so on. Bots can be much more than a Devops Friend tool!  This 
> talk is going to talk a little bit about how to identify situations that a 
> bot could help you, possible ways to build them, the challenges and the some 
> things that may go wrong.
> 
> Intro to Geospatial and other Redis 3.2 features - New York, NY 
> <http://nosqlweekly.us2.list-manage.com/track/click?u=72f68dcee17c92724bc7822fb&id=9aed96adb1&e=7965148edf>
> Join Dave Nielsen in this talk where he demonstrates how to speed up mobile 
> apps and web scale systems with Redis geospatial data structures and 
> functions  Dave will demo an open source Geospatial app that depends solely 
> on Redis Geospatial Indexes. Functions demoed are GEOADD, ZREM, GEOHASH, 
> GEOPOS, GEODIST, GEORADIUS, GEORADIUSBYMEMBER.
> 
> How to NoSQL with Scylla, the Cassandra-Successor­ with Extreme Performance - 
> New York, NY 
> <http://nosqlweekly.us2.list-manage.com/track/click?u=72f68dcee17c92724bc7822fb&id=4107d11b0f&e=7965148edf>
> In this session, you will learn how to use Scylla, the new open-source NoSQL 
> database that succeeds Cassandra. Scylla applies new systems programming 
> techniques to a horizontally scalable NoSQL column-store design that results 
> in extreme performance improvements; capable of 1 million requests per second 
> per node, with < 1msec P99 latency. Scylla also provides drop-in replacement 
> compatibility with Apache Cassandra, as well as inheriting its scaling 
> properties.
> 
> Presto Workshop - Cambridge, MA 
> <http://nosqlweekly.us2.list-manage1.com/track/click?u=72f68dcee17c92724bc7822fb&id=137393c553&e=7965148edf>
> This meetup will be a hands on workshop for Presto. Using an real world large 
> data set, the workshop will cover: Brief overview of Presto and architecture 
> Running SQL Queries from Hadoop using Presto How to do some basic 
> configuration and adding data sources to Presto Federated queries from Kafka, 
> MySQL, and Hadoop using Presto.
> 
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