Re: [ANNOUNCE] Apache Ignite 1.8.0 Released

[Sally Khudairi]

Hello, everyone --as promised, below is the draft so far. Here's hoping I 
understood everything correctly 
Kindly note that we'll need to fill in the "@@" under the hood section on v1.8 
(this part can be technical and developer-focused, whilst the rest of the 
document should be tech-lite = understandable for journalists who are geeky but 
not technologists). I'll be happy to provide editing credentials on the 
googledoc to those requesting it.
Do keep in mind that this is not a press release, so the format is different 
from what we're used to (I launched the "Have you met...?" series with 
Mahout[1] back in 2010 to great media interest: coverage within 24 hours). We 
can also work together on establishing a template for you to use for future 
project announcements.
As always, comments/corrections/additions welcome!
Thanks so much,Sally
[1] 
= = =
The ASF asks: Have you met Apache Ignite?
Since 1999, The Apache Software Foundation (ASF) has been recognized as a 
leading source for an array of Open Source software and tools that meet the 
demand for interoperable, adaptable, and sustainable solutions. The 
all-volunteer ASF develops, stewards, and incubates dozens of enterprise-grade 
Open Source projects that power mission-critical applications in financial 
services, aerospace, publishing, government, healthcare, research, 
infrastructure, and more. From Abdera to ZooKeeper, the demand for ASF's 
reliable, community-driven software continues to grow dramatically across many 
categories, including Cloud, IoT, Artificial Intelligence and Machine Learning, 
Mobile, and Big Data, where the Apache Hadoop ecosystem dominates the 
marketplace.
Did you know that numerous Fortune 500 enterprises depend on Apache Ignite’s 
in-memory "Fast Data" platform to process large-scale data sets in real-time, 
at orders of magnitude faster than traditional technologies?
We are pleased to showcase Apache Ignite, the high-performance In-Memory Data 
Fabric that provides in-memory data caching, partitioning, processing, and 
querying components.
Quick peek: Apache Ignite is an integrated and distributed In-Memory Data 
Fabric for computing and transacting on large-scale data sets in real-time, 
orders of magnitude faster than possible with traditional disk-based or flash 
technologies. It is designed to easily power both existing and new applications 
in a distributed, massively parallel architecture on affordable, 
industry-standard hardware.
Background: Originally created at GridGain as its flagship in-memory computing 
(IMC) platform, Ignite entered the Apache Incubator in September 2014 and 
graduated as an Apache Top-Level Project in August 2015.
Why Ignite: Apache Ignite addresses today's Fast Data needs by providing a 
comprehensive in-memory data fabric, which includes a data grid with SQL and 
transactional capabilities, in-memory streaming, an in-memory file system, and 
more.
Heavily benchmarked, Ignite has been built from the ground up to linearly scale 
to hundreds of nodes with strong semantics for data locality and affinity data 
routing to reduce redundant data noise. Ignite data grid is lightning fast and 
is one of the fastest implementations of transactional or atomic data in 
distributed clusters today.
Unlike other Big Data processing solutions, Apache Ignite treats RAM as a 
primary storage facility (as opposed to being used exclusively for processing). 
As such, Ignite's memory-first approach is more efficient and faster: with 
improved system indexes, reduced data fetch time, and no delays in a stream 
content processing, among other benefits.
Additionally --and unique to Apache Ignite-- its SQL Grid eliminates the need 
for painful and challenging migration from relational database to in-memory 
data grid (IMDG), alleviating the need for developers to have to rewrite SQL 
based code to IMDG’s native APIs. This means that developers can keep using 
existing applications and tools written for relational databases and based on 
SQL language with very little to no code modification. Ignite SQL Grid is 
horizontally scalable, fault tolerant, and SQL ANSI-99 compliant.
Using Apache Ignite, developers benefit from:

   
   - Data Grid --replicate or partition data in memory within the cluster;
   - In-Memory SQL Grid --add in-memory distributed database capabilities;
   - Advanced Clustering --including logical cluster groups and auto-discover;
   - ODBC Driver --select and modify data stored in a distributed cache;
   - Compute Grid --distribute computations across cluster nodes;
   - Service Grid --cluster-enable any service or data structure;
   - Streaming & CEP --easily stream large volumes of data into Ignite; and
   - Data Structures --distribute own data structure across the cluster.


To solve real-time business issues and meet application requirements for the 
highest performance and scale, Apache Ignite leverages and integrates a host of 
Apache projects including Spark, Hadoop, YARN, and Mesos.

Re: [ANNOUNCE] Apache Ignite 1.8.0 Released

[Denis Magda]

Sally, 

You understood everything perfectly well producing such a clear and great 
article! Not sure that anyone could write better ;)

Please give editing permissions to my google account (magda7...@gmail.com 
). I’ll fill in the missing part.

—
Denis

> On Jan 14, 2017, at 9:01 AM, Sally Khudairi  wrote:
> 
> Hello, everyone --as promised, below is the draft so far. Here's hoping I 
> understood everything correctly 
> 
> Kindly note that we'll need to fill in the "@@" under the hood section on 
> v1.8 (this part can be technical and developer-focused, whilst the rest of 
> the document should be tech-lite = understandable for journalists who are 
> geeky but not technologists). I'll be happy to provide editing credentials on 
> the googledoc to those requesting it.
> 
> Do keep in mind that this is not a press release, so the format is different 
> from what we're used to (I launched the "Have you met...?" series with 
> Mahout[1] back in 2010 to great media interest: coverage within 24 hours). We 
> can also work together on establishing a template for you to use for future 
> project announcements.
> 
> As always, comments/corrections/additions welcome!
> 
> Thanks so much,
> Sally
> 
> [1] 
> 
> = = =
> 
> The ASF asks: Have you met Apache Ignite?
> 
> Since 1999, The Apache Software Foundation (ASF) has been recognized as a 
> leading source for an array of Open Source software and tools that meet the 
> demand for interoperable, adaptable, and sustainable solutions. The 
> all-volunteer ASF develops, stewards, and incubates dozens of 
> enterprise-grade Open Source projects that power mission-critical 
> applications in financial services, aerospace, publishing, government, 
> healthcare, research, infrastructure, and more. From Abdera to ZooKeeper, the 
> demand for ASF's reliable, community-driven software continues to grow 
> dramatically across many categories, including Cloud, IoT, Artificial 
> Intelligence and Machine Learning, Mobile, and Big Data, where the Apache 
> Hadoop ecosystem dominates the marketplace.
> 
> Did you know that numerous Fortune 500 enterprises depend on Apache Ignite’s 
> in-memory "Fast Data" platform to process large-scale data sets in real-time, 
> at orders of magnitude faster than traditional technologies?
> 
> We are pleased to showcase Apache Ignite, the high-performance In-Memory Data 
> Fabric that provides in-memory data caching, partitioning, processing, and 
> querying components.
> 
> Quick peek: Apache Ignite is an integrated and distributed In-Memory Data 
> Fabric for computing and transacting on large-scale data sets in real-time, 
> orders of magnitude faster than possible with traditional disk-based or flash 
> technologies. It is designed to easily power both existing and new 
> applications in a distributed, massively parallel architecture on affordable, 
> industry-standard hardware.
> 
> Background: Originally created at GridGain as its flagship in-memory 
> computing (IMC) platform, Ignite entered the Apache Incubator in September 
> 2014 and graduated as an Apache Top-Level Project in August 2015.
> 
> Why Ignite: Apache Ignite addresses today's Fast Data needs by providing a 
> comprehensive in-memory data fabric, which includes a data grid with SQL and 
> transactional capabilities, in-memory streaming, an in-memory file system, 
> and more.
> 
> Heavily benchmarked, Ignite has been built from the ground up to linearly 
> scale to hundreds of nodes with strong semantics for data locality and 
> affinity data routing to reduce redundant data noise. Ignite data grid is 
> lightning fast and is one of the fastest implementations of transactional or 
> atomic data in distributed clusters today.
> 
> Unlike other Big Data processing solutions, Apache Ignite treats RAM as a 
> primary storage facility (as opposed to being used exclusively for 
> processing). As such, Ignite's memory-first approach is more efficient and 
> faster: with improved system indexes, reduced data fetch time, and no delays 
> in a stream content processing, among other benefits.
> 
> Additionally --and unique to Apache Ignite-- its SQL Grid eliminates the need 
> for painful and challenging migration from relational database to in-memory 
> data grid (IMDG), alleviating the need for developers to have to rewrite SQL 
> based code to IMDG’s native APIs. This means that developers can keep using 
> existing applications and tools written for relational databases and based on 
> SQL language with very little to no code modification. Ignite SQL Grid is 
> horizontally scalable, fault tolerant, and SQL ANSI-99 compliant.
> 
> Using Apache Ignite, developers benefit from:
> 
> Data Grid --replicate or partition data in memory within the cluster;
> In-Memory SQL Grid --add in-memory distributed database capabilities;
> Advanced Clustering --including logical cluster groups and auto-discover;
> ODBC Driver --select and modify data