In-Memory Computing Blogs and Events

IMCPlanet.org presents in-memory computing blogs and events from around the world. Read the latest in-memory computing news here. Submit your RSS feed or post your upcoming events and help the in-memory computing community stay up to date on the latest developments.

Sep
26
2017
Posted by Redis Labs on Tuesday 26 September 2017, 12:50

The much-awaited Redis version 4.0 is here! Here at Redis Labs we make an ongoing effort to ensure that our customers can enjoy all the latest and greatest features of Redis.
We are excited to announce that our latest version of Redis Enterprise, our core engine that powers Redise Cloud and Redise Pack products, now supports the latest release of Redis – version 4.0.

What’s new in Redis version 4.0

Redis 4.0 release adds several significant enhancements including:

  • Redis Modules – the most talked about ability to extend Redis functionality by directly hooking into Redis core and extending it
  • Async non blocking delete operations – new ‘UNLINK’ command is same as ‘DEL’ but working in a non-blocking way. To get the same with ‘FLUSHDB’ and ‘…
Sep
26
2017
Posted by SAP HANA on Tuesday 26 September 2017, 11:15

The following is a partner blog by Oliver Rogers and Chris Choy of Bluefin Solutions.
A collaborative mentality and agile style is a winning combination to rapidly design, build and deploy innovative projects. This is certainly proven by the team from Bluefin who have combined the talent of several areas of expertise including HANA, iOS and Augmented Reality, to build out the A Data Journey in AR

Sep
26
2017
Posted by SAP HANA on Tuesday 26 September 2017, 04:56

SAP Cloud Platform Big Data Services became part of the SAP portfolio a year ago, with the acquisition of Altiscale, a leading provider of Big Data as a service. In that time, we’ve met with many organizations seeking to learn more about our offering, because they desire to get a handle on their Big Data challenges. The majority of these discussions focused on strategies to bridge new types of data and existing enterprise data, and we’ve repeatedly found that integration with the SAP HANA platform can greatly simplify this Big Data use case for customers.
The pairing of an analytic data warehouse with a data lake isn’t an entirely recent occurrence. Altiscale came of age as a single-product company, providing organizations a full-service Hadoop and Spark platform in the cloud. Customers benefited from an integrated approach to Big Data that included infrastructure, software, operations, and support in an easily consumable subscription, but they would often have to couple the…

Sep
25
2017
Posted by SAP HANA on Monday 25 September 2017, 14:57

A recently conducted a study of IT decision makers from enterprise level companies that found the following:

  • 74 percent say their data landscape is so complex it limits agility;
  • 86 percent say there is much more they can do with their data;
  • 50 percent believe that data is inaccessible to a wide variety of business stakeholders.

Those numbers are shocking. Why don’t these enterprises have better access to and use of their data?
For one thing, archaic architectural data landscapes make it nearly impossible. It’s an incredibly complex process, combining data lakes, warehouses, data stores, data marts and systems of records in real time, and combining those data sources at point of need is virtually impossible.
Complicating matters are three major components: governance, data…

Sep
25
2017
Posted by Redis Labs on Monday 25 September 2017, 12:52


It’s hard to believe, but the crew here at Redis Labs is already planning for RedisConf 2018.  Next year’s conference will take place at the end of April 2018 in San Francisco.  Sign up here and we’ll keep you up to date on all the latest news.  I’m not going to spoil the surprise, but 2018 will be even bigger and better than this year’s conference, so don’t miss out on all the fun.
In the meantime, we’d love to see you at one of the many events we have planned in the coming months.
September Events
Conferences
Redis Labs is a premier sponsor of the Strata Data Conference in New York City on September 26th to September 28th.  Drop by Booth 1014 to chat with our team about Redis Enterprise.  You can arrange for a…

Sep
25
2017
Posted by Striim on Monday 25 September 2017, 11:59

We are thrilled to announce that Striim has received not one, but TWO awards from the readers of Datanami: one for Best Big Data Product or Technology: Real-Time Analytics, and another for Top 5 Vendors to Watch! Striim received these awards at the Strata Data Conference held in New York City today.
This recognition, in multiple categories of the Datanami Readers’ Choice Awards, is extremely important to Striim because of its voting process. As Datanami puts it, “The Datanami Readers’ and Editors’ Choice Awards are determined through a nomination and voting process with input from the global Big Data community, as well as selections from the Datanami editors, to highlight key trends, shine a spotlight on technological breakthroughs, and capture a critical cross section of the state of the industry.”

Sep
25
2017
Posted by Redis Labs on Monday 25 September 2017, 11:15

Pivotal Cloud Foundry and Redis Enterprise Database
Modernizing your existing apps and building out new, real-time apps, can be an overwhelming process. Keeping up with user response times is only one piece of the puzzle developers today must solve. Today’s developer faces a number of challenges when building great software.
The modern application needs to cater to a variety of functions and services. They need to accomplish both transactions, analytics, operational processing, and so on. Often they deal with a wide variety of data – from location to relationships to documents or graph. They can be legacy or brand new developments in a variety of popular languages and stacks. They have to be fully elastic while scaling, and deployed in a multitude of environments – whether that be on-premises, cloud, PaaS, hybrid. But in all cases, they need to meet time to…

Sep
25
2017
Posted by All Things Distributed on Monday 25 September 2017, 10:00

Today, I am excited to announce plans for Amazon Web Services (AWS) to bring an infrastructure Region to the Middle East! This move is another milestone in our global expansion and mission to bring flexible, scalable, and secure cloud computing infrastructure to organizations around the world. Based in Bahrain, this will be the first Region for AWS in the Middle East. The Region will be in the heart of Gulf Cooperation Council (GCC) countries, and we're aiming to have it ready by early 2019. This Region will consist of three Availability Zones at launch, and it will provide even lower latency to users across the Middle East.

This news marks the 22nd AWS Region we have announced globally. We already have 44 Availability Zones across 16 geographic Regions that customers can use today. We still have another five AWS Regions (and 14 Availability Zones) in China, France, Hong Kong, and Sweden. Plus another AWS GovCloud (US) Region in the United States is coming…

Sep
25
2017
Posted by SAP HANA on Monday 25 September 2017, 09:30

Many companies currently complement their existing relational data warehouses with big data components, such as Spark, HDFS, Kafka, S3, … This leads to a new form of data warehouse (DW) that we call big data warehouse (BDW). This blog elaborates how BW/4HANA and the SAP Data Hub (DH) are a perfect match for building a BDW.
The idea of a BDW is prevailing in many companies and industries.…

Sep
22
2017
Posted by GridGain Systems Blog on Friday 22 September 2017, 15:10

Monday kicks off the first week of autumn -- and it also marks the start of three excellent in-memory computing-related meetups in New York City featuring GridGain technical evangelist Akmal Chaudhri, Ph.D.

Sep
22
2017
Posted by SAP HANA on Friday 22 September 2017, 09:52


Never before have we had access to so much information – and we’ve never had the opportunities to streamline and leverage that data the way we can with machine learning.
Here at SAP we’re right at that intersection of innovation, which is why we’ve developed the SAP Leonardo Machine Learning Foundation (or ML Foundation for short). Margaret Laffan recently gave us a and today we want to tell you more about the services it offers.
Leveraging Cutting-Edge Technology
We already know that machine learning uses complex algorithms instead of programming code to detect patterns in large, unstructured samples of data and make applications intelligent.
Whereas more…

Sep
22
2017
Posted by Redis Labs on Friday 22 September 2017, 09:19

I’ve been working with the RediSearch module quite a bit lately — it’s one of the more fascinating developments in the Redis ecosystem and it deserves it’s own series. If you’re not familiar with RediSearch and its features, you should take a look at this video.
If you’ve built an application with Redis as a primary data store, you’ve likely experienced both the elation and confusion of the native data types. When you understand the data types, you realize that much of your data fits neatly into one of them. However, many common application patterns require both indexing (“what key has x value?”) and search (“what key contains some text string?”). While these questions can be answered by leveraging the native datatypes in creative ways, the code can be complex and has speed and/or space efficiency trade offs. The RediSearch module fills in…

Sep
22
2017
Posted by SAP HANA on Friday 22 September 2017, 06:00

Although the term “big data” has been in existence since the early 90s, its recent popularity can be attributed to the open source community that has released tools and frameworks to store, process, and analyze data that either does not fit or is unsuitable for traditional transactional databases. In meetings with customers, I often hear how big data sources such as the Internet of Things and social media have challenged their entire approach to data management. The architecture of centralized and traditionally on-premise data systems no longer meets their needs when it comes to handling large volumes of distributed data arriving at such a high velocity.
New technologies, new challenges
As the amount of data grows, so does the complexity of organizations’ IT landscapes as they…

Sep
21
2017
Posted by Striim on Thursday 21 September 2017, 13:44


The Strata Data Conference is where cutting-edge science and new business fundamentals intersect—and merge. Formerly known as Strata + Hadoop World, the conference was created in 2012 and has grown to become the largest data conference series in the world.
This year’s conference includes sessions and tracks to reflect challenges that have emerged in the data field—including security, ubiquitous computing, collaboration, reproducibility, new interfaces, emerging architecture, building data teams, machine data—and much more.
Come see why companies worldwide use the Striim platform to deliver real-time data integration, analysis and visualization for a wide variety of use cases including data security, fraud, SLA monitoring, customer experience, replication, data modernization, and Internet of Things (IoT) analytics. For…

Sep
20
2017
Posted by Redis Labs on Wednesday 20 September 2017, 14:12

This post is the final post in a series delving into the features of the Redis-ML module.  The first post in the series can be found here.
 
In previous posts we learned how to use Redis and scikit-learn to build a real-time classification and regression engine, how to use linear regression to predict housing prices and how to use decision trees to predict survival rates.  We even took a small detour into R to demonstrate ML toolkit independence, but one question we haven’t focused on is, “Why?”  Why would we want to use Redis for a real-time predictive engine?
If…