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From Andy Wenk <>
Subject Fwd: NoSQL Weekly - Issue 343
Date Fri, 30 Jun 2017 16:30:45 GMT
fyi - 

> A new replicator for Apache CouchDB & IBM Cloudant <>
mentioned in NoSQL Weekly 

All the best


P.S.: relevant for the News?

Andy Wenk
Hamburg - Germany

GPG public key:

> Begin forwarded message:
> From: NoSQL Weekly <>
> Subject: NoSQL Weekly - Issue 343
> Date: 29. June 2017 at 17:34:15 GMT+2
> To: <>
> Reply-To: NoSQL Weekly <>
> Email not displaying correctly? View it in your browser. <>
> Welcome to issue 343 of NoSQL Weekly. Let's get straight to the links this week.
> Articles, Tutorials and Talks
> New Driver Features for MongoDB 3.6 <>
> At MongoDB World this week, we announced the big features in our upcoming 3.6 release.
This post shares the details about the driver improvements that are coming in this version.
I’ll cover six new features—the first two are performance improvements with no driver
API changes. The next three are related to a new idea, “MongoDB sessions”, and for dessert
we’ll have the new Notification API.
> Chatbots and Voice Conversational Interfaces with Amazon Alexa, Neo4j and GraphAware
NLP <>
> During this talk, Christophe Willemsen will walk you through the design of building Conversational
Bots. To this end, he used Amazon Alexa and combined it with a Natural Language Processing
stack backed by a Neo4j Graph Database. You will discover the basics of an Amazon Alexa skill
and how the user experience with voice devices can be enhanced with graph based algorithms
such as recommendations.
> Optimization of RocksDB for Redis on Flash <>
> In this paper, we describe our experience optimizing RocksDB for Redis-on-Flash (RoF)
– a commercial implementation of the Redis in-memory key-value store that uses SSDs as RAM
extension to dramatically increase the effective per-node capacity. RoF stores hot values
in RAM, and utilizes RocksDB to store and manage cold data on SSD drives. We describe our
methodology for tuning RocksDB parameters and present our experiments and findings (including
both positive and negative tuning results) on two clouds: EC2 and GCE. Overall, we show how
tuning RocksDB improved the database replication time for RoF by more than 11x. We hope that
our experience will help others adopt, configure, and tune RocksDB in order to realize its
full performance potential.
> Deep learning on Apache Spark and Apache Hadoop with Deeplearning4j <>
> This post will detail how to use open source tools – Apache Spark, Apache Hadoop, Deeplearning4j
(DL4J) – coupled with commodity hardware (cheap, widely available) to get state-of-the-art
results on an image recognition task using limited training data. Additionally, the ability
to parallelize training of models on Spark, in just a few lines of code, made it easy to leverage
existing cluster resources to speed up training time, without sacrificing accuracy.
> Parallelizing Large Simulations with Apache SparkR on Databricks <>
> Apache Spark 2.0 introduced a new family of APIs in SparkR, the R interface to Apache
Spark to enable users to parallelize existing R functions. The new dapply, gapply and spark.lapply
methods open exciting possibilities for R users. In this post, we present details on one use
case jointly done by Shell Oil Company and Databricks.
> Tarantool: in-memory DBMS and application server <>
> A new replicator for Apache CouchDB & IBM Cloudant <>
> Interesting Projects, Tools and Libraries
> redis-roaring <>
> Roaring Bitmaps for Redis. It uses the CRoaring library to implement roaring bitmap commands
for Redis.
> Upcoming Events and Webinars
> Online Event: OGMNeo - building an Object Graph Mapper for Node.js <>
> In this session Luciano Almeida will talk about OGMNeo - an Object Graph Mapper that
he created to help make it easier to build graph applications in Node.js
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