Press release blog post

Project: http://git-wip-us.apache.org/repos/asf/drill/repo
Commit: http://git-wip-us.apache.org/repos/asf/drill/commit/7d663345
Tree: http://git-wip-us.apache.org/repos/asf/drill/tree/7d663345
Diff: http://git-wip-us.apache.org/repos/asf/drill/diff/7d663345

Branch: refs/heads/gh-pages
Commit: 7d66334514038b394fef71ecb15f380796d43bb4
Parents: 5a7f700
Author: Tomer Shiran <[email protected]>
Authored: Mon May 18 16:34:16 2015 -0700
Committer: Tomer Shiran <[email protected]>
Committed: Mon May 18 16:34:16 2015 -0700

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 1 file changed, 18 insertions(+), 8 deletions(-)
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http://git-wip-us.apache.org/repos/asf/drill/blob/7d663345/blog/_drafts/drill-1.0-released.md
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+++ b/blog/_drafts/drill-1.0-released.md
@@ -21,29 +21,37 @@ Tomer Shiran and Jacques Nadeau
 
 <hr />
 
-# The Apache Software Foundation Announces Apache™ Drill™ 1.0
+The Apache Software Foundation Announces Apache™ Drill™ 1.0
 
-## Open Source schema-free SQL query engine revolutionizes data exploration 
and analytics for Apache Hadoop®, NoSQL and Cloud storage
+Thousands of users adopt Open Source, enterprise-grade, schema-free SQL query 
engine for Apache Hadoop®, NoSQL and Cloud storage.
 
-Forest Hill, MD - 19 May 2015 - The Apache Software Foundation (ASF), the 
all-volunteer developers, stewards, and incubators of more than 350 Open Source 
projects and initiatives, announced today the availability of Apache™ 
Drill™ 1.0, the schema-free SQL query engine for Apache Hadoop®, NoSQL and 
Cloud storage.
+Forest Hill, MD --19 May 2015-- The Apache Software Foundation (ASF), the 
all-volunteer developers, stewards, and incubators of more than 350 Open Source 
projects and initiatives, announced today the availability of Apache™ 
Drill™ 1.0, the schema-free SQL query engine for Apache Hadoop®, NoSQL and 
Cloud storage.
 
 "The production-ready 1.0 release represents a significant milestone for the 
Drill project," said Tomer Shiran, member of the Apache Drill Project 
Management Committee. "It is the outcome of almost three years of development 
involving dozens of engineers from numerous companies. Apache Drill's 
flexibility and ease-of-use have attracted thousands of users, and the 
enterprise-grade reliability, security and performance in the 1.0 release will 
further accelerate adoption."
 
-With the exponential growth of data in recent years, and the shift towards 
rapid application development, new data is increasingly being stored in 
non-relational, schema-free datastores including Hadoop, NoSQL and Cloud 
storage. Apache Drill enables analysts, business users, data scientists and 
developers to explore and analyze this data without sacrificing the flexibility 
and agility offered by these datastores. Drill processes the data in-situ 
without requiring users to define schemas or transform data.
+With the exponential growth of data in recent years, and the shift towards 
rapid application development, new data is increasingly being stored in 
non-relational, schema-free datastores including Hadoop, NoSQL and Cloud 
storage. Apache Drill revolutionizes data exploration and analytics by enabling 
analysts, business users, data scientists and developers to explore and analyze 
this data without sacrificing the flexibility and agility offered by these 
datastores. Drill processes the data in-situ without requiring users to define 
schemas or transform data.
 
-"Drill introduces the JSON document model to the world of SQL-based analytics 
and BI" said Jacques Nadeau, Vice President of Apache Drill. "This enables 
users to query fixed-schema, evolving-schema and schema-free data stored in a 
variety of formats and datastores. The architecture of relational query engines 
and databases is built on the assumption that all data has a simple and static 
structure that’s known in advance, and this 40-year-old assumption is simply 
no longer valid. We designed Drill from the ground up to address the new 
reality."
+"Drill introduces the JSON document model to the world of SQL-based analytics 
and BI" said Jacques Nadeau, Vice President of Apache Drill. "This enables 
users to query fixed-schema, evolving-schema and schema-free data stored in a 
variety of formats and datastores. The architecture of relational query engines 
and databases is built on the assumption that all data has a simple and static 
structure that’s known in advance, and this 40-year-old assumption is simply 
no longer valid. We designed Drill from the ground up to address the new 
reality.”
 
 Apache Drill's architecture is unique in many ways. It is the only columnar 
execution engine that supports complex and schema-free data, and the only 
execution engine that performs data-driven query compilation (and 
re-compilation, also known as schema discovery) during query execution. These 
unique capabilities enable Drill to achieve record-breaking performance with 
the flexibility offered by the JSON document model.
 
+The business intelligence (BI) partner ecosystem is embracing the power of 
Apache Drill. Organizations such as Information Builders, JReport (Jinfonet 
Software), MicroStrategy, Qlik®, Simba, Tableau, and TIBCO, are working 
closely with the Drill community to interoperate BI tools with Drill through 
standard ODBC and JDBC connectivity. This collaboration enables end users to 
explore data by leveraging sophisticated visualization tools and advanced 
analytics.
+
+"We've been using Apache Drill for the past six months," said Andrew Hamilton, 
CTO of Cardlytics. "Its ease of deployment and use along with its ability to 
quickly process trillions of records has made it an invaluable tool inside 
Cardlytics. Queries that were previously insurmountable are now common 
occurrence. Congratulations to the Drill community on this momentous occasion."
+
 "Drill's columnar execution engine and optimizer take full advantage of Apache 
Parquet's columnar storage to achieve maximum performance," said Julien Le Dem, 
Technical Lead of Data Processing at Twitter and Vice President of Apache 
Parquet. "The Drill team has been a key contributor to the Parquet project, 
including recent enhancements to Parquet types and vectorization. The Drill 
team’s involvement in the Parquet community is instrumental in driving the 
standard."
 
-"Apache Drill 1.0 raises the bar for secure, reliable and scalable 
SQL-on-Hadoop," said Piyush Bhargava, distinguished engineer, IT, Cisco 
Systems.  "Because Drill integrates with existing data virtualization and 
visualization tools, we expect it will improve adoption of self-service data 
exploration and large-scale BI queries on our advanced Hadoop platform at 
Cisco."  
+"Apache Drill 1.0 raises the bar for secure, reliable and scalable 
SQL-on-Hadoop," said Piyush Bhargava, distinguished engineer, IT, Cisco 
Systems. "Because Drill integrates with existing data virtualization and 
visualization tools, we expect it will improve adoption of self-service data 
exploration and large-scale BI queries on our advanced Hadoop platform at 
Cisco."
+
+"MicroStrategy recognized early on the value of Apache Drill and is one of the 
first analytic platforms to certify Drill," said Tim Lang, senior executive 
vice president and chief technology officer at MicroStrategy Incorporated.  
"Because Drill is designed to be used with a minimal learning curve, it opens 
up more complex data sets to the end user who can immediately visualize and 
analyze new information using MicroStrategy’s advanced capabilities."
 
-"Apache Drill closes a gap around self-service SQL queries in Hadoop, 
especially on complex, dynamic NoSQL data types," said Mike Foster, strategic 
alliances technology officer, Qlik.  "Drill's performance advantages for Hadoop 
data access, combined with the Qlik associative experience, enables our 
customers to continue discovering business value from a wide range of data. 
Congrats to the Apache Drill community."
+"Apache Drill closes a gap around self-service SQL queries in Hadoop, 
especially on complex, dynamic NoSQL data types," said Mike Foster, Strategic 
Alliances Technology Officer at Qlik.  "Drill's performance advantages for 
Hadoop data access, combined with the Qlik associative experience, enables our 
customers to continue discovering business value from a wide range of data. 
Congratulations to the Apache Drill community."
 
 "Apache Drill empowers people to access data that is traditionally difficult 
to work with," said Jeff Feng, product manager, Tableau.  "Direct access within 
a centralized data repository and without pre-generating metadata definitions 
encourages data democracy which is essential for data-driven organizations. 
Additionally, Drill's instant and secure access to complex data formats, such 
as JSON, opens up extended analytical opportunities."
 
-"Congratulations to the Apache Drill community on the availability of 1.0," 
said Karl Van den Bergh, vice president, products and cloud, TIBCO. "Drill 
promises to bring low-latency access to data stored in Hadoop and HBase via 
standard SQL semantics. This innovation is in line with the value of Fast Data 
analysis, which TIBCO customers welcome and appreciate."
+"Congratulations to the Apache Drill community on the availability of 1.0," 
said Karl Van den Bergh, Vice President, Products and Cloud at TIBCO. "Drill 
promises to bring low-latency access to data stored in Hadoop and HBase via 
standard SQL semantics. This innovation is in line with the value of Fast Data 
analysis, which TIBCO customers welcome and appreciate."
+
+"The community's accomplishment is a testament to The Apache Software 
Foundation's ability to bring together diverse companies to work towards a 
common goal. None of this would have been possible without the contribution of 
engineers with advanced degrees and experience in relational databases, data 
warehousing, MPP, query optimization, Hadoop and NoSQL," added Nadeau. "Our 
community's strength is what will solidify Apache Drill as a key data 
technology for the next decade. We welcome interested individuals to learn more 
about Drill by joining the community's mailing lists, attending upcoming talks 
by Drill code committers at various conferences including Hadoop Summit, NoSQL 
Now, Hadoop World, or at a local Apache Drill MeetUp."
 
 Availability and Oversight
 Apache Drill 1.0 is available immediately as a free download from 
http://drill.apache.org/download/. Documentation is available at 
http://drill.apache.org/docs/. As with all Apache products, Apache Drill 
software is released under the Apache License v2.0, and is overseen by a 
self-selected team of active contributors to the project. A Project Management 
Committee (PMC) guides the project's day-to-day operations, including community 
development and product releases. For ways to become involved with Apache 
Drill, visit http://drill.apache.org/ and @ApacheDrill on Twitter.
@@ -52,3 +60,5 @@ About The Apache Software Foundation (ASF)
 Established in 1999, the all-volunteer Foundation oversees more than 350 
leading Open Source projects, including Apache HTTP Server --the world's most 
popular Web server software. Through the ASF's meritocratic process known as 
"The Apache Way," more than 500 individual Members and 4,500 Committers 
successfully collaborate to develop freely available enterprise-grade software, 
benefiting millions of users worldwide: thousands of software solutions are 
distributed under the Apache License; and the community actively participates 
in ASF mailing lists, mentoring initiatives, and ApacheCon, the Foundation's 
official user conference, trainings, and expo. The ASF is a US 501(c)(3) 
charitable organization, funded by individual donations and corporate sponsors 
including Bloomberg, Budget Direct, Cerner, Citrix, Cloudera, Comcast, 
Facebook, Google, Hortonworks, HP, IBM, InMotion Hosting, iSigma, Matt 
Mullenweg, Microsoft, Pivotal, Produban, WANdisco, and Yahoo. For more 
information, visit ht
 tp://www.apache.org/ or follow @TheASF on Twitter.
 
 © The Apache Software Foundation. "Apache", "Apache Drill", "Drill", "Apache 
Hadoop", "Hadoop", "Apache Parquet", "Parquet", and "ApacheCon", are registered 
trademarks or trademarks of The Apache Software Foundation. All other brands 
and trademarks are the property of their respective owners.
+
+# # #

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