SlideShare a Scribd company logo
A-DAS™ Data Sheet
                                                                     The Anaeko Data Agility Server
Organisations, large and small, increasingly need access to multiple data sources
and services, juggling the need to support legacy applications while simultaneously
fostering new initiatives and integrating new systems. To make matters worse these
data sources are rarely compatible and are increasingly a combination of structured
and unstructured data.

The Anaeko Data Agility Server (A-DAS™) addresses this universal problem by
consolidating and simplifying access to data, providing what we call Agile Data
Integration.

A-DAS™ enables customised views of the data using a light touch approach that
leaves the underlying data intact.

A-DAS™ provides uniform, consistent access to the data, independent of the
original source

A-DAS™ is unique in that, unlike other integration middleware solutions, it does not
depend on a ‘single version of the truth’ and can, therefore, react to change in a
rapid and flexible way.




Advantages                                                            Applications
Leverage Any Data Source                                              A-DAS™ enables the following applications:
Create federated views of any number of disparate data
sources, across any physical or organisation structure, unifying
                                                                        •   Data-as-a-Service
data access and representation.
                                                                        •   Single View of Customer, business, property, patient ..
Access Real-Time Information
                                                                        •   Real-Time Reporting
Provide real-time access to static and dynamic data. Create rich
views of data accessible via simple RESTful interfaces.
                                                                        •   Data Integration Hot-Housing and Prototyping
Reduce Cost                                                             •   Master Data Management
Minimise integration time and effort by using a light-touch
                                                                        •   Data Integration within a SOA environment
approach where new data sources can be quickly and easily
added and change can be absorbed with minimum impact.
                                                                                                   TM
                                                                      Anaeko configures A-DAS to access each data store in the
Promote Governance
                                                                      customer business networks. Through the A-DASTM
Support SOA style governance by leaving control at the source,
                                                                      management interface we define what information to make
whilst simultaneously promoting unified access and
                                                                      available to what services and define the relationship between
serendipitous reuse throughout the organisation                                                              TM
                                                                      similar and conflicting data. A-DAS sources, caches and
                                                                      intelligently consolidates enterprise data to create virtual views
Reduce Risk
                                                                      across all data. As new data stores become available they can
Reduce risk of vendor and technology lock-in; knock on effects
                                                                      be added to the growing federation.
from data change, and stale, inaccurate data.

                                                                      Individuals, teams and organisations access the consolidated
Reduce Effort
                                                                      data federation through simple standards based interfaces.
Rapidly create prototypes of data integration scenarios to
                                                                      The comprehensive rich data views can be leveraged to
assess data quality, visualise results and communicate trade-
                                                                      deliver a new generation of user centric services.
offs.

Deliver Enterprise Class Solutions
Light enough to be deployed in modest environments, yet
scales to cope with advanced federated search and query
across distributed and heterogeneous data sources
Architecture

                                                                      Federation Layer
The Anaeko Data Agility Server (A-DAS™) is an enabling data
integration infrastructure solution that provides a consolidated      The federation layer       provides    real-time   federation    of
view of disparate structured and unstructured data sources.           distributed data queries
                                                                        •   Transformation - User defined scriptable
A-DAS™ simplifies the creation of relationships between the                 transformations can be applied to the data “on the fly”.
many different data sources thereby creating a richer set of
                                                                        •   Aggregation - Combination of the returned data sets.
customisable materialized and virtualized views.                            supporting unions and joins of the merged data
                                                                        •   Cleansing - Defined scriptable cleansing operations to
A-DAS™ has a three layer logical architecture:                              be applied to the data
                                                                        •   Optimisation - Query rewriting, intelligent distribution of
Presentation Layer                                                          the query across the federated source. Performs
                                                                            pushdown analysis to utilise any back-end data source
The presentation layer provides simple application and user
                                                                            optimisations
interfaces to access the data.
  •   Representation - Tailors the data returned to suit the
                                                                      Adaption Layer
      client capability
                                                                      The adaption layer provides a plug-in adaptor framework,
  •   Caching - Support for web caching with a fully HTTP 1.1
                                                                      which comes with a number of predefined out-of-the-box
      compliant interface.
                                                                      adaptors that can be configured to connect to Relational
  •   Queries & Views - Query processing engine and View
                                                                      Databases, Web Services etc. It also supports the easy
      catalogue. Supports the creation of queries and views and
                                                                      creation of adaptors for legacy and future data stores
      enables distributed query processing
  •   Metadata - Supports Metadata discovery and creation,
      allowing simple browsing from any web browser as well
      as integrated IDE support for the Eclipse platform.




                                                     A-DAS™ Logical Architecture
Features
Unified Access                                                     Light Touch Integration
 •                                                                  •
     Out of the box access to common data sources,                      Supports distributed & centralised deployments
     including relational databases, web services, XML,             •   Supports multiple platforms to fit existing environments
     XMPP and SNMP device
                                                                    •   Dynamic addition and removal of data sources
 •   Modular architecture and extensible SDK for rapid
                                                                    •   Builds on the emergent reuse of the web through its
     development of custom adapters for legacy and
                                                                        RESTful interfaces
     proprietary sources.
                                                                    •   Standard HTTP and mime support - reduce cost of 3rd
 •   Unified and simplified access to data across distributed
                                                                        part integration
     sites.
                                                                    •   Support for everyday end-user tools e.g. Excel, web
 •   Flexible metadata management with             support   for
                                                                        browser etc
     browsing, discovery and annotation
 •   Self-describing RESTful interface                             Performance and Scalability
                                                                    •   Light enough to tackle the simplest task but Scales for
Data as a Service
                                                                        tasks commonly associated with application servers.
 •   Simple data service discovery using the A-DAS™ rich
                                                                    •   Create a lightweight cached data service, from single
     client or through a standard web browser
                                                                        sources or across multiple sources
 •   Incremental, rapid evolution of data services
                                                                    •   Support for HTTP caching and proxies
 •   Flexible client access with support for internet mime-
                                                                    •   Operates in both asynchronous callbacks mode and
     types; data is returned in standard client appropriate
                                                                        synchronous access mode
     formats (HTML, XML, MS Excel, JSON, etc)
                                                                    •   Can be deployed on commodity hardware
 •   Plugs into your existing web infrastructure
                                                                    •   High availability support via 3rd party load balancers
 •   Protect your data sources by creating an A-DAS™ data
                                                                    •
     firewall                                                           Utilises a highly scalable stateless Resource Oriented
                                                                        Architecture (ROA)
Query and Transform
                                                                    •   Stateless design allows for complete horizontal and
 •   Create ad-hoc queries and predefined data views using              vertical scaling
     real-time data integration and on the fly optimised
     queries across heterogeneous data sources
                                                                   Specifications
 •   Declarative data access, with support for core relational
     semantics; ask 'what' not 'how'
                                                                   Supported Data Sources
 •   Built in support for data cleansing and transformation,
                                                                    •   Relational Databases (Oracle, MS SQL Server Sybase,
     with provision for extensible, scriptable data
                                                                        DB2, MySQL, , MS Access, Informix)
     manipulation in real time, without affecting the
                                                                    •
     underlying data source                                             Web Services (SOAP, REST)
                                                                    •
 •                                                                      XML
     Bring the power of SQL to non-relational sources
                                                                    •   Presence Servers (XMPP, Jabber)
 •   Peer-to-Peer query processing
                                                                    •   Location Severs (Parlay X)
 •   Query optimisation with query          rewriting,   query
                                                                    •
     distribution and query pushdown.                                   SNMPv2 capable devices
                                                                    •   CSV, MS Excel Spreadsheets
Security
                                                                    •   Custom adapters developed to specification
 •   All components can be distributed on different network
     segments allowing standard firewalls to be leveraged
                                                                   Application Interfaces
 •   Communication between all distributed components can
                                                                    •   HTTP, HTTPS, HTML, XML, CSV, JSON
     utilise SSL tunnelling
 •   Apply fine-grained access control on an individual field
                                                                   Management Interfaces
     basis
                                                                    •   JMX, Eclipse IDE Plugin
Tools and Management
 •   Remote standards compliant management through JMX             Platform Requirements
 •   Rich client interface to management and metadata               •   Memory: 1GB RAM
     utilities
                                                                    •   Disk Space: 100MB
 •   SDK client libraries
                                                                    •   Operating System: Any OS with Java support:
 •   Integrated IDE support for Eclipse                                  o Windows (2000, XP, Vista)
                                                                         o Linux (Red Hat, Ubuntu, Debian, Fedora)
                                                                         o Unix (Solaris, HP-UX, AIX)
Deployment                                                       About Anaeko
A-DAS™ can be deployed in a completely flexible manner           Anaeko was established to address the increasingly complex
with services distributed to suit load and security              and challenging data management issues in large
requirements. In the simplest deployment, the solution is        organisations and over the years has developed world class
centrally deployed with remote connections to distributed data   competencies in agile data integration, specifically RESTful
                                                                 data federation. Anaeko has formulated the Agile Data
stores.
                                                                                             ™
                                                                 Integration Methodology - a distinctive approach to data
A-DAS™ can either be installed on commodity hardware or          integration based on agile principals where early validation
delivered as a completely managed service.                       and continual refinement guarantee timely solutions that are
                                                                 fit for purpose. This approach promotes quick decision
The example below shows a centralized deployment of A-           making and prevents changing business objectives from
DAS™ core and two adaptors (Node A) with load-balanced           jeopardising data integration projects.
database connectors distributed for performance and
availability (Node B).                                           Anaeko's ability and reputation to deliver quality systems and
                                                                 data integration consultancy is demonstrated by a list of
                                                                 clients that includes Meteor Mobile, BT, InterTradeIreland,
                                                                 Accuris Networks, mFormation, ChangingWorlds and many
                                                                 more.

                                                                 Headquarters:
                                                                 Anaeko,
                                                                 Weavers Court Business Park,
                                                                 Linfield Road,
                                                                 Belfast,
                                                                 BT12 5GH,
                                                                 Northern Ireland

                                                                 Telephone: +44 (0)28 90 224 005
                                                                 Email: info@anaeko.com
                                                                 www.anaeko.com

                                                                 Copyright: 2009 Anaeko Ltd. All rights reserved. Anaeko and the A-
                                                                 DAS™ product name are trademarks or registered trade marks of
                                                                 Anaeko Ltd. All other brands, products or service names are, or may
                Example A-DAS™ Deployment                        be, trademarks or registered trademarks, and are used to identify
                                                                 products and services of their respective owner.




                The A-DAS™ Management GUI

More Related Content

What's hot

CirrusDB Offerings
CirrusDB OfferingsCirrusDB Offerings
CirrusDB Offerings
Ashok Sami
 
Bi an ia with sap sybase power designer
Bi an ia with sap sybase power designerBi an ia with sap sybase power designer
Bi an ia with sap sybase power designer
Jane Kitabayashi
 
MDS & SQL 2012
MDS & SQL 2012MDS & SQL 2012
MDS & SQL 2012
Chad Dotzenrod
 
Microsoft SQL Azure - Agility in the New Economy Technical Datasheet
Microsoft SQL Azure - Agility in the New Economy Technical DatasheetMicrosoft SQL Azure - Agility in the New Economy Technical Datasheet
Microsoft SQL Azure - Agility in the New Economy Technical Datasheet
Microsoft Private Cloud
 
Www.Sas.Com Resources Whitepaper Wp 33890
Www.Sas.Com Resources Whitepaper Wp 33890Www.Sas.Com Resources Whitepaper Wp 33890
Www.Sas.Com Resources Whitepaper Wp 33890
Gregory Pence
 
EIM Tutorial
EIM TutorialEIM Tutorial
EIM Tutorial
Neil Hambly
 
Sql server2008 r2_mds_datasheet
Sql server2008 r2_mds_datasheetSql server2008 r2_mds_datasheet
Sql server2008 r2_mds_datasheetKlaudiia Jacome
 
Challenges Management and Opportunities of Cloud DBA
Challenges Management and Opportunities of Cloud DBAChallenges Management and Opportunities of Cloud DBA
Challenges Management and Opportunities of Cloud DBA
inventy
 
Accel Partners New Data Workshop 7-14-10
Accel Partners New Data Workshop 7-14-10Accel Partners New Data Workshop 7-14-10
Accel Partners New Data Workshop 7-14-10keirdo1
 
Microsoft SQL Server 2012 Master Data Services
Microsoft SQL Server 2012 Master Data ServicesMicrosoft SQL Server 2012 Master Data Services
Microsoft SQL Server 2012 Master Data Services
Mark Ginnebaugh
 
Sql server briefing sept
Sql server briefing septSql server briefing sept
Sql server briefing septMark Kromer
 
Microsoft India – SQL Server 2008 R2 Datasheet
Microsoft India – SQL Server 2008 R2 DatasheetMicrosoft India – SQL Server 2008 R2 Datasheet
Microsoft India – SQL Server 2008 R2 Datasheet
Microsoft Private Cloud
 
Workware systems company presentation web aug 11
Workware systems company presentation web aug 11Workware systems company presentation web aug 11
Workware systems company presentation web aug 11deppster
 
Microsoft master data services mds overview
Microsoft master data services mds overviewMicrosoft master data services mds overview
Microsoft master data services mds overview
Eugene Zozulya
 
ER/Studio Data Architect Datasheet
ER/Studio Data Architect DatasheetER/Studio Data Architect Datasheet
ER/Studio Data Architect Datasheet
Embarcadero Technologies
 
Data Stagev8
Data Stagev8Data Stagev8
Data Stagev8
Shivaprasad Nayak
 
Master Data Services - used for than just data
Master Data Services - used for than just dataMaster Data Services - used for than just data
Master Data Services - used for than just data
Kenneth Michael Nielsen
 
Microsoft SQL Server - Master Data Services Datasheet
Microsoft SQL Server - Master Data Services DatasheetMicrosoft SQL Server - Master Data Services Datasheet
Microsoft SQL Server - Master Data Services DatasheetMicrosoft Private Cloud
 
The 15 ITIL Steps to DBaaS in the Cloud
The 15 ITIL Steps to DBaaS in the CloudThe 15 ITIL Steps to DBaaS in the Cloud
The 15 ITIL Steps to DBaaS in the Cloud
Joaquin Marques
 

What's hot (20)

CirrusDB Offerings
CirrusDB OfferingsCirrusDB Offerings
CirrusDB Offerings
 
Bi an ia with sap sybase power designer
Bi an ia with sap sybase power designerBi an ia with sap sybase power designer
Bi an ia with sap sybase power designer
 
MDS & SQL 2012
MDS & SQL 2012MDS & SQL 2012
MDS & SQL 2012
 
Microsoft SQL Azure - Agility in the New Economy Technical Datasheet
Microsoft SQL Azure - Agility in the New Economy Technical DatasheetMicrosoft SQL Azure - Agility in the New Economy Technical Datasheet
Microsoft SQL Azure - Agility in the New Economy Technical Datasheet
 
Www.Sas.Com Resources Whitepaper Wp 33890
Www.Sas.Com Resources Whitepaper Wp 33890Www.Sas.Com Resources Whitepaper Wp 33890
Www.Sas.Com Resources Whitepaper Wp 33890
 
dvprimer-concepts
dvprimer-conceptsdvprimer-concepts
dvprimer-concepts
 
EIM Tutorial
EIM TutorialEIM Tutorial
EIM Tutorial
 
Sql server2008 r2_mds_datasheet
Sql server2008 r2_mds_datasheetSql server2008 r2_mds_datasheet
Sql server2008 r2_mds_datasheet
 
Challenges Management and Opportunities of Cloud DBA
Challenges Management and Opportunities of Cloud DBAChallenges Management and Opportunities of Cloud DBA
Challenges Management and Opportunities of Cloud DBA
 
Accel Partners New Data Workshop 7-14-10
Accel Partners New Data Workshop 7-14-10Accel Partners New Data Workshop 7-14-10
Accel Partners New Data Workshop 7-14-10
 
Microsoft SQL Server 2012 Master Data Services
Microsoft SQL Server 2012 Master Data ServicesMicrosoft SQL Server 2012 Master Data Services
Microsoft SQL Server 2012 Master Data Services
 
Sql server briefing sept
Sql server briefing septSql server briefing sept
Sql server briefing sept
 
Microsoft India – SQL Server 2008 R2 Datasheet
Microsoft India – SQL Server 2008 R2 DatasheetMicrosoft India – SQL Server 2008 R2 Datasheet
Microsoft India – SQL Server 2008 R2 Datasheet
 
Workware systems company presentation web aug 11
Workware systems company presentation web aug 11Workware systems company presentation web aug 11
Workware systems company presentation web aug 11
 
Microsoft master data services mds overview
Microsoft master data services mds overviewMicrosoft master data services mds overview
Microsoft master data services mds overview
 
ER/Studio Data Architect Datasheet
ER/Studio Data Architect DatasheetER/Studio Data Architect Datasheet
ER/Studio Data Architect Datasheet
 
Data Stagev8
Data Stagev8Data Stagev8
Data Stagev8
 
Master Data Services - used for than just data
Master Data Services - used for than just dataMaster Data Services - used for than just data
Master Data Services - used for than just data
 
Microsoft SQL Server - Master Data Services Datasheet
Microsoft SQL Server - Master Data Services DatasheetMicrosoft SQL Server - Master Data Services Datasheet
Microsoft SQL Server - Master Data Services Datasheet
 
The 15 ITIL Steps to DBaaS in the Cloud
The 15 ITIL Steps to DBaaS in the CloudThe 15 ITIL Steps to DBaaS in the Cloud
The 15 ITIL Steps to DBaaS in the Cloud
 

Viewers also liked

Action Screen Printing Logo Pens
Action Screen Printing Logo PensAction Screen Printing Logo Pens
Action Screen Printing Logo Pens
Tom Thornton
 
Action Screen Print & Embroidery Best Selling Hoodies
Action Screen Print & Embroidery Best Selling HoodiesAction Screen Print & Embroidery Best Selling Hoodies
Action Screen Print & Embroidery Best Selling Hoodies
Tom Thornton
 
Pmo Mesa Redonda Pmolig
Pmo Mesa Redonda PmoligPmo Mesa Redonda Pmolig
Action Screen Print Holiday 2104
Action Screen Print Holiday 2104Action Screen Print Holiday 2104
Action Screen Print Holiday 2104
Tom Thornton
 
Action Screen Print & Embroidery Holiday Gift Guide
Action Screen Print & Embroidery Holiday Gift GuideAction Screen Print & Embroidery Holiday Gift Guide
Action Screen Print & Embroidery Holiday Gift Guide
Tom Thornton
 
Samantha's Resume
Samantha's ResumeSamantha's Resume
Samantha's Resumeguest787321
 
Slideshare White Canvas
Slideshare White CanvasSlideshare White Canvas
Slideshare White Canvas
coephoto.com
 
Samantha's Resume, A little shorter
Samantha's Resume, A little shorterSamantha's Resume, A little shorter
Samantha's Resume, A little shorterguest787321
 
Rshp Slideshow
Rshp SlideshowRshp Slideshow
Rshp Slideshow
RSHP
 
Welcome To Capital Market, Over Focus Is
Welcome To Capital Market, Over Focus IsWelcome To Capital Market, Over Focus Is
Welcome To Capital Market, Over Focus Islaxmikant thanvi
 
IAS 1
IAS 1IAS 1
IAS 1RS P
 
Accounting standard 1
Accounting standard 1Accounting standard 1
Accounting standard 1
Saurabh Batavia
 
coephoto.com Top Midwest Food and Lifestyle Photography studio with specialti...
coephoto.com Top Midwest Food and Lifestyle Photography studio with specialti...coephoto.com Top Midwest Food and Lifestyle Photography studio with specialti...
coephoto.com Top Midwest Food and Lifestyle Photography studio with specialti...
coephoto.com
 
Action Screen Print & Embroidery Holiday Specials 2014
Action Screen Print & Embroidery Holiday Specials 2014Action Screen Print & Embroidery Holiday Specials 2014
Action Screen Print & Embroidery Holiday Specials 2014
Tom Thornton
 
Rshp Gala Ball Programme Oct 2009
Rshp Gala Ball Programme Oct 2009Rshp Gala Ball Programme Oct 2009
Rshp Gala Ball Programme Oct 2009
RSHP
 
Green Marketing Solutions
Green Marketing SolutionsGreen Marketing Solutions
Green Marketing Solutions
Tom Thornton
 
Tri-Mountain Apparel at Action Screen Print & Embroidery
Tri-Mountain Apparel at Action Screen Print & EmbroideryTri-Mountain Apparel at Action Screen Print & Embroidery
Tri-Mountain Apparel at Action Screen Print & Embroidery
Tom Thornton
 
IAS 1 Presentation Of Financial Statements
IAS 1 Presentation Of Financial StatementsIAS 1 Presentation Of Financial Statements
IAS 1 Presentation Of Financial Statementsuktaxandaccounts.com
 

Viewers also liked (20)

Action Screen Printing Logo Pens
Action Screen Printing Logo PensAction Screen Printing Logo Pens
Action Screen Printing Logo Pens
 
Action Screen Print & Embroidery Best Selling Hoodies
Action Screen Print & Embroidery Best Selling HoodiesAction Screen Print & Embroidery Best Selling Hoodies
Action Screen Print & Embroidery Best Selling Hoodies
 
Pmo Mesa Redonda Pmolig
Pmo Mesa Redonda PmoligPmo Mesa Redonda Pmolig
Pmo Mesa Redonda Pmolig
 
Action Screen Print Holiday 2104
Action Screen Print Holiday 2104Action Screen Print Holiday 2104
Action Screen Print Holiday 2104
 
Action Screen Print & Embroidery Holiday Gift Guide
Action Screen Print & Embroidery Holiday Gift GuideAction Screen Print & Embroidery Holiday Gift Guide
Action Screen Print & Embroidery Holiday Gift Guide
 
Samantha's Resume
Samantha's ResumeSamantha's Resume
Samantha's Resume
 
Slideshare White Canvas
Slideshare White CanvasSlideshare White Canvas
Slideshare White Canvas
 
Samantha's Resume, A little shorter
Samantha's Resume, A little shorterSamantha's Resume, A little shorter
Samantha's Resume, A little shorter
 
Rshp Slideshow
Rshp SlideshowRshp Slideshow
Rshp Slideshow
 
Welcome To Capital Market, Over Focus Is
Welcome To Capital Market, Over Focus IsWelcome To Capital Market, Over Focus Is
Welcome To Capital Market, Over Focus Is
 
IAS -Doha Presentation
IAS -Doha PresentationIAS -Doha Presentation
IAS -Doha Presentation
 
Ias 1
Ias 1Ias 1
Ias 1
 
IAS 1
IAS 1IAS 1
IAS 1
 
Accounting standard 1
Accounting standard 1Accounting standard 1
Accounting standard 1
 
coephoto.com Top Midwest Food and Lifestyle Photography studio with specialti...
coephoto.com Top Midwest Food and Lifestyle Photography studio with specialti...coephoto.com Top Midwest Food and Lifestyle Photography studio with specialti...
coephoto.com Top Midwest Food and Lifestyle Photography studio with specialti...
 
Action Screen Print & Embroidery Holiday Specials 2014
Action Screen Print & Embroidery Holiday Specials 2014Action Screen Print & Embroidery Holiday Specials 2014
Action Screen Print & Embroidery Holiday Specials 2014
 
Rshp Gala Ball Programme Oct 2009
Rshp Gala Ball Programme Oct 2009Rshp Gala Ball Programme Oct 2009
Rshp Gala Ball Programme Oct 2009
 
Green Marketing Solutions
Green Marketing SolutionsGreen Marketing Solutions
Green Marketing Solutions
 
Tri-Mountain Apparel at Action Screen Print & Embroidery
Tri-Mountain Apparel at Action Screen Print & EmbroideryTri-Mountain Apparel at Action Screen Print & Embroidery
Tri-Mountain Apparel at Action Screen Print & Embroidery
 
IAS 1 Presentation Of Financial Statements
IAS 1 Presentation Of Financial StatementsIAS 1 Presentation Of Financial Statements
IAS 1 Presentation Of Financial Statements
 

Similar to Anaeko A-DAS Datasheet V1.4

Data Driven Advanced Analytics using Denodo Platform on AWS
Data Driven Advanced Analytics using Denodo Platform on AWSData Driven Advanced Analytics using Denodo Platform on AWS
Data Driven Advanced Analytics using Denodo Platform on AWS
Denodo
 
LinkedInSaxoBankDataWorkbench
LinkedInSaxoBankDataWorkbenchLinkedInSaxoBankDataWorkbench
LinkedInSaxoBankDataWorkbench
Sheetal Pratik
 
Data Ninja Webinar Series: Realizing the Promise of Data Lakes
Data Ninja Webinar Series: Realizing the Promise of Data LakesData Ninja Webinar Series: Realizing the Promise of Data Lakes
Data Ninja Webinar Series: Realizing the Promise of Data Lakes
Denodo
 
Fast Data Strategy Houston Roadshow Presentation
Fast Data Strategy Houston Roadshow PresentationFast Data Strategy Houston Roadshow Presentation
Fast Data Strategy Houston Roadshow Presentation
Denodo
 
How a Semantic Layer Makes Data Mesh Work at Scale
How a Semantic Layer Makes  Data Mesh Work at ScaleHow a Semantic Layer Makes  Data Mesh Work at Scale
How a Semantic Layer Makes Data Mesh Work at Scale
DATAVERSITY
 
Datanow datasheet
Datanow datasheetDatanow datasheet
Datanow datasheet
Nuno Alves
 
Next Gen Analytics Going Beyond Data Warehouse
Next Gen Analytics Going Beyond Data WarehouseNext Gen Analytics Going Beyond Data Warehouse
Next Gen Analytics Going Beyond Data Warehouse
Denodo
 
Why Data Mesh Needs Data Virtualization (ASEAN)
Why Data Mesh Needs Data Virtualization (ASEAN)Why Data Mesh Needs Data Virtualization (ASEAN)
Why Data Mesh Needs Data Virtualization (ASEAN)
Denodo
 
Modern Data Management for Federal Modernization
Modern Data Management for Federal ModernizationModern Data Management for Federal Modernization
Modern Data Management for Federal Modernization
Denodo
 
5 Steps for Architecting a Data Lake
5 Steps for Architecting a Data Lake5 Steps for Architecting a Data Lake
5 Steps for Architecting a Data Lake
MetroStar
 
Data Virtualization: Introduction and Business Value (UK)
Data Virtualization: Introduction and Business Value (UK)Data Virtualization: Introduction and Business Value (UK)
Data Virtualization: Introduction and Business Value (UK)
Denodo
 
Why Software-Defined Storage Matters
Why Software-Defined Storage MattersWhy Software-Defined Storage Matters
Why Software-Defined Storage Matters
Red_Hat_Storage
 
Why Software-Defined Storage Matters
Why Software-Defined Storage MattersWhy Software-Defined Storage Matters
Why Software-Defined Storage Matters
Colleen Corrice
 
Hyper-converged infrastructure
Hyper-converged infrastructureHyper-converged infrastructure
Hyper-converged infrastructureIgor Malts
 
Self service BI with sql server 2008 R2 and microsoft power pivot short
Self service BI with sql server 2008 R2 and microsoft power pivot shortSelf service BI with sql server 2008 R2 and microsoft power pivot short
Self service BI with sql server 2008 R2 and microsoft power pivot short
Eduardo Castro
 
Best Practices For Building and Operating A Managed Data Lake - StampedeCon 2016
Best Practices For Building and Operating A Managed Data Lake - StampedeCon 2016Best Practices For Building and Operating A Managed Data Lake - StampedeCon 2016
Best Practices For Building and Operating A Managed Data Lake - StampedeCon 2016
StampedeCon
 
Sql server2008 r2_bi_datasheet_final
Sql server2008 r2_bi_datasheet_finalSql server2008 r2_bi_datasheet_final
Sql server2008 r2_bi_datasheet_finalKlaudiia Jacome
 

Similar to Anaeko A-DAS Datasheet V1.4 (20)

Data Driven Advanced Analytics using Denodo Platform on AWS
Data Driven Advanced Analytics using Denodo Platform on AWSData Driven Advanced Analytics using Denodo Platform on AWS
Data Driven Advanced Analytics using Denodo Platform on AWS
 
LinkedInSaxoBankDataWorkbench
LinkedInSaxoBankDataWorkbenchLinkedInSaxoBankDataWorkbench
LinkedInSaxoBankDataWorkbench
 
Data Ninja Webinar Series: Realizing the Promise of Data Lakes
Data Ninja Webinar Series: Realizing the Promise of Data LakesData Ninja Webinar Series: Realizing the Promise of Data Lakes
Data Ninja Webinar Series: Realizing the Promise of Data Lakes
 
Fast Data Strategy Houston Roadshow Presentation
Fast Data Strategy Houston Roadshow PresentationFast Data Strategy Houston Roadshow Presentation
Fast Data Strategy Houston Roadshow Presentation
 
How a Semantic Layer Makes Data Mesh Work at Scale
How a Semantic Layer Makes  Data Mesh Work at ScaleHow a Semantic Layer Makes  Data Mesh Work at Scale
How a Semantic Layer Makes Data Mesh Work at Scale
 
Datanow datasheet
Datanow datasheetDatanow datasheet
Datanow datasheet
 
Next Gen Analytics Going Beyond Data Warehouse
Next Gen Analytics Going Beyond Data WarehouseNext Gen Analytics Going Beyond Data Warehouse
Next Gen Analytics Going Beyond Data Warehouse
 
Why Data Mesh Needs Data Virtualization (ASEAN)
Why Data Mesh Needs Data Virtualization (ASEAN)Why Data Mesh Needs Data Virtualization (ASEAN)
Why Data Mesh Needs Data Virtualization (ASEAN)
 
Modern Data Management for Federal Modernization
Modern Data Management for Federal ModernizationModern Data Management for Federal Modernization
Modern Data Management for Federal Modernization
 
SOA Summit 2014
SOA Summit 2014SOA Summit 2014
SOA Summit 2014
 
5 Steps for Architecting a Data Lake
5 Steps for Architecting a Data Lake5 Steps for Architecting a Data Lake
5 Steps for Architecting a Data Lake
 
Sybase IQ Big Data
Sybase IQ Big DataSybase IQ Big Data
Sybase IQ Big Data
 
Sybase IQ ve Big Data
Sybase IQ ve Big DataSybase IQ ve Big Data
Sybase IQ ve Big Data
 
Data Virtualization: Introduction and Business Value (UK)
Data Virtualization: Introduction and Business Value (UK)Data Virtualization: Introduction and Business Value (UK)
Data Virtualization: Introduction and Business Value (UK)
 
Why Software-Defined Storage Matters
Why Software-Defined Storage MattersWhy Software-Defined Storage Matters
Why Software-Defined Storage Matters
 
Why Software-Defined Storage Matters
Why Software-Defined Storage MattersWhy Software-Defined Storage Matters
Why Software-Defined Storage Matters
 
Hyper-converged infrastructure
Hyper-converged infrastructureHyper-converged infrastructure
Hyper-converged infrastructure
 
Self service BI with sql server 2008 R2 and microsoft power pivot short
Self service BI with sql server 2008 R2 and microsoft power pivot shortSelf service BI with sql server 2008 R2 and microsoft power pivot short
Self service BI with sql server 2008 R2 and microsoft power pivot short
 
Best Practices For Building and Operating A Managed Data Lake - StampedeCon 2016
Best Practices For Building and Operating A Managed Data Lake - StampedeCon 2016Best Practices For Building and Operating A Managed Data Lake - StampedeCon 2016
Best Practices For Building and Operating A Managed Data Lake - StampedeCon 2016
 
Sql server2008 r2_bi_datasheet_final
Sql server2008 r2_bi_datasheet_finalSql server2008 r2_bi_datasheet_final
Sql server2008 r2_bi_datasheet_final
 

Recently uploaded

Slack (or Teams) Automation for Bonterra Impact Management (fka Social Soluti...
Slack (or Teams) Automation for Bonterra Impact Management (fka Social Soluti...Slack (or Teams) Automation for Bonterra Impact Management (fka Social Soluti...
Slack (or Teams) Automation for Bonterra Impact Management (fka Social Soluti...
Jeffrey Haguewood
 
Unsubscribed: Combat Subscription Fatigue With a Membership Mentality by Head...
Unsubscribed: Combat Subscription Fatigue With a Membership Mentality by Head...Unsubscribed: Combat Subscription Fatigue With a Membership Mentality by Head...
Unsubscribed: Combat Subscription Fatigue With a Membership Mentality by Head...
Product School
 
FIDO Alliance Osaka Seminar: FIDO Security Aspects.pdf
FIDO Alliance Osaka Seminar: FIDO Security Aspects.pdfFIDO Alliance Osaka Seminar: FIDO Security Aspects.pdf
FIDO Alliance Osaka Seminar: FIDO Security Aspects.pdf
FIDO Alliance
 
Software Delivery At the Speed of AI: Inflectra Invests In AI-Powered Quality
Software Delivery At the Speed of AI: Inflectra Invests In AI-Powered QualitySoftware Delivery At the Speed of AI: Inflectra Invests In AI-Powered Quality
Software Delivery At the Speed of AI: Inflectra Invests In AI-Powered Quality
Inflectra
 
Builder.ai Founder Sachin Dev Duggal's Strategic Approach to Create an Innova...
Builder.ai Founder Sachin Dev Duggal's Strategic Approach to Create an Innova...Builder.ai Founder Sachin Dev Duggal's Strategic Approach to Create an Innova...
Builder.ai Founder Sachin Dev Duggal's Strategic Approach to Create an Innova...
Ramesh Iyer
 
Leading Change strategies and insights for effective change management pdf 1.pdf
Leading Change strategies and insights for effective change management pdf 1.pdfLeading Change strategies and insights for effective change management pdf 1.pdf
Leading Change strategies and insights for effective change management pdf 1.pdf
OnBoard
 
PHP Frameworks: I want to break free (IPC Berlin 2024)
PHP Frameworks: I want to break free (IPC Berlin 2024)PHP Frameworks: I want to break free (IPC Berlin 2024)
PHP Frameworks: I want to break free (IPC Berlin 2024)
Ralf Eggert
 
The Future of Platform Engineering
The Future of Platform EngineeringThe Future of Platform Engineering
The Future of Platform Engineering
Jemma Hussein Allen
 
DevOps and Testing slides at DASA Connect
DevOps and Testing slides at DASA ConnectDevOps and Testing slides at DASA Connect
DevOps and Testing slides at DASA Connect
Kari Kakkonen
 
Key Trends Shaping the Future of Infrastructure.pdf
Key Trends Shaping the Future of Infrastructure.pdfKey Trends Shaping the Future of Infrastructure.pdf
Key Trends Shaping the Future of Infrastructure.pdf
Cheryl Hung
 
State of ICS and IoT Cyber Threat Landscape Report 2024 preview
State of ICS and IoT Cyber Threat Landscape Report 2024 previewState of ICS and IoT Cyber Threat Landscape Report 2024 preview
State of ICS and IoT Cyber Threat Landscape Report 2024 preview
Prayukth K V
 
Smart TV Buyer Insights Survey 2024 by 91mobiles.pdf
Smart TV Buyer Insights Survey 2024 by 91mobiles.pdfSmart TV Buyer Insights Survey 2024 by 91mobiles.pdf
Smart TV Buyer Insights Survey 2024 by 91mobiles.pdf
91mobiles
 
Knowledge engineering: from people to machines and back
Knowledge engineering: from people to machines and backKnowledge engineering: from people to machines and back
Knowledge engineering: from people to machines and back
Elena Simperl
 
Transcript: Selling digital books in 2024: Insights from industry leaders - T...
Transcript: Selling digital books in 2024: Insights from industry leaders - T...Transcript: Selling digital books in 2024: Insights from industry leaders - T...
Transcript: Selling digital books in 2024: Insights from industry leaders - T...
BookNet Canada
 
Assuring Contact Center Experiences for Your Customers With ThousandEyes
Assuring Contact Center Experiences for Your Customers With ThousandEyesAssuring Contact Center Experiences for Your Customers With ThousandEyes
Assuring Contact Center Experiences for Your Customers With ThousandEyes
ThousandEyes
 
When stars align: studies in data quality, knowledge graphs, and machine lear...
When stars align: studies in data quality, knowledge graphs, and machine lear...When stars align: studies in data quality, knowledge graphs, and machine lear...
When stars align: studies in data quality, knowledge graphs, and machine lear...
Elena Simperl
 
Accelerate your Kubernetes clusters with Varnish Caching
Accelerate your Kubernetes clusters with Varnish CachingAccelerate your Kubernetes clusters with Varnish Caching
Accelerate your Kubernetes clusters with Varnish Caching
Thijs Feryn
 
Search and Society: Reimagining Information Access for Radical Futures
Search and Society: Reimagining Information Access for Radical FuturesSearch and Society: Reimagining Information Access for Radical Futures
Search and Society: Reimagining Information Access for Radical Futures
Bhaskar Mitra
 
Epistemic Interaction - tuning interfaces to provide information for AI support
Epistemic Interaction - tuning interfaces to provide information for AI supportEpistemic Interaction - tuning interfaces to provide information for AI support
Epistemic Interaction - tuning interfaces to provide information for AI support
Alan Dix
 
FIDO Alliance Osaka Seminar: Passkeys and the Road Ahead.pdf
FIDO Alliance Osaka Seminar: Passkeys and the Road Ahead.pdfFIDO Alliance Osaka Seminar: Passkeys and the Road Ahead.pdf
FIDO Alliance Osaka Seminar: Passkeys and the Road Ahead.pdf
FIDO Alliance
 

Recently uploaded (20)

Slack (or Teams) Automation for Bonterra Impact Management (fka Social Soluti...
Slack (or Teams) Automation for Bonterra Impact Management (fka Social Soluti...Slack (or Teams) Automation for Bonterra Impact Management (fka Social Soluti...
Slack (or Teams) Automation for Bonterra Impact Management (fka Social Soluti...
 
Unsubscribed: Combat Subscription Fatigue With a Membership Mentality by Head...
Unsubscribed: Combat Subscription Fatigue With a Membership Mentality by Head...Unsubscribed: Combat Subscription Fatigue With a Membership Mentality by Head...
Unsubscribed: Combat Subscription Fatigue With a Membership Mentality by Head...
 
FIDO Alliance Osaka Seminar: FIDO Security Aspects.pdf
FIDO Alliance Osaka Seminar: FIDO Security Aspects.pdfFIDO Alliance Osaka Seminar: FIDO Security Aspects.pdf
FIDO Alliance Osaka Seminar: FIDO Security Aspects.pdf
 
Software Delivery At the Speed of AI: Inflectra Invests In AI-Powered Quality
Software Delivery At the Speed of AI: Inflectra Invests In AI-Powered QualitySoftware Delivery At the Speed of AI: Inflectra Invests In AI-Powered Quality
Software Delivery At the Speed of AI: Inflectra Invests In AI-Powered Quality
 
Builder.ai Founder Sachin Dev Duggal's Strategic Approach to Create an Innova...
Builder.ai Founder Sachin Dev Duggal's Strategic Approach to Create an Innova...Builder.ai Founder Sachin Dev Duggal's Strategic Approach to Create an Innova...
Builder.ai Founder Sachin Dev Duggal's Strategic Approach to Create an Innova...
 
Leading Change strategies and insights for effective change management pdf 1.pdf
Leading Change strategies and insights for effective change management pdf 1.pdfLeading Change strategies and insights for effective change management pdf 1.pdf
Leading Change strategies and insights for effective change management pdf 1.pdf
 
PHP Frameworks: I want to break free (IPC Berlin 2024)
PHP Frameworks: I want to break free (IPC Berlin 2024)PHP Frameworks: I want to break free (IPC Berlin 2024)
PHP Frameworks: I want to break free (IPC Berlin 2024)
 
The Future of Platform Engineering
The Future of Platform EngineeringThe Future of Platform Engineering
The Future of Platform Engineering
 
DevOps and Testing slides at DASA Connect
DevOps and Testing slides at DASA ConnectDevOps and Testing slides at DASA Connect
DevOps and Testing slides at DASA Connect
 
Key Trends Shaping the Future of Infrastructure.pdf
Key Trends Shaping the Future of Infrastructure.pdfKey Trends Shaping the Future of Infrastructure.pdf
Key Trends Shaping the Future of Infrastructure.pdf
 
State of ICS and IoT Cyber Threat Landscape Report 2024 preview
State of ICS and IoT Cyber Threat Landscape Report 2024 previewState of ICS and IoT Cyber Threat Landscape Report 2024 preview
State of ICS and IoT Cyber Threat Landscape Report 2024 preview
 
Smart TV Buyer Insights Survey 2024 by 91mobiles.pdf
Smart TV Buyer Insights Survey 2024 by 91mobiles.pdfSmart TV Buyer Insights Survey 2024 by 91mobiles.pdf
Smart TV Buyer Insights Survey 2024 by 91mobiles.pdf
 
Knowledge engineering: from people to machines and back
Knowledge engineering: from people to machines and backKnowledge engineering: from people to machines and back
Knowledge engineering: from people to machines and back
 
Transcript: Selling digital books in 2024: Insights from industry leaders - T...
Transcript: Selling digital books in 2024: Insights from industry leaders - T...Transcript: Selling digital books in 2024: Insights from industry leaders - T...
Transcript: Selling digital books in 2024: Insights from industry leaders - T...
 
Assuring Contact Center Experiences for Your Customers With ThousandEyes
Assuring Contact Center Experiences for Your Customers With ThousandEyesAssuring Contact Center Experiences for Your Customers With ThousandEyes
Assuring Contact Center Experiences for Your Customers With ThousandEyes
 
When stars align: studies in data quality, knowledge graphs, and machine lear...
When stars align: studies in data quality, knowledge graphs, and machine lear...When stars align: studies in data quality, knowledge graphs, and machine lear...
When stars align: studies in data quality, knowledge graphs, and machine lear...
 
Accelerate your Kubernetes clusters with Varnish Caching
Accelerate your Kubernetes clusters with Varnish CachingAccelerate your Kubernetes clusters with Varnish Caching
Accelerate your Kubernetes clusters with Varnish Caching
 
Search and Society: Reimagining Information Access for Radical Futures
Search and Society: Reimagining Information Access for Radical FuturesSearch and Society: Reimagining Information Access for Radical Futures
Search and Society: Reimagining Information Access for Radical Futures
 
Epistemic Interaction - tuning interfaces to provide information for AI support
Epistemic Interaction - tuning interfaces to provide information for AI supportEpistemic Interaction - tuning interfaces to provide information for AI support
Epistemic Interaction - tuning interfaces to provide information for AI support
 
FIDO Alliance Osaka Seminar: Passkeys and the Road Ahead.pdf
FIDO Alliance Osaka Seminar: Passkeys and the Road Ahead.pdfFIDO Alliance Osaka Seminar: Passkeys and the Road Ahead.pdf
FIDO Alliance Osaka Seminar: Passkeys and the Road Ahead.pdf
 

Anaeko A-DAS Datasheet V1.4

  • 1. A-DAS™ Data Sheet The Anaeko Data Agility Server Organisations, large and small, increasingly need access to multiple data sources and services, juggling the need to support legacy applications while simultaneously fostering new initiatives and integrating new systems. To make matters worse these data sources are rarely compatible and are increasingly a combination of structured and unstructured data. The Anaeko Data Agility Server (A-DAS™) addresses this universal problem by consolidating and simplifying access to data, providing what we call Agile Data Integration. A-DAS™ enables customised views of the data using a light touch approach that leaves the underlying data intact. A-DAS™ provides uniform, consistent access to the data, independent of the original source A-DAS™ is unique in that, unlike other integration middleware solutions, it does not depend on a ‘single version of the truth’ and can, therefore, react to change in a rapid and flexible way. Advantages Applications Leverage Any Data Source A-DAS™ enables the following applications: Create federated views of any number of disparate data sources, across any physical or organisation structure, unifying • Data-as-a-Service data access and representation. • Single View of Customer, business, property, patient .. Access Real-Time Information • Real-Time Reporting Provide real-time access to static and dynamic data. Create rich views of data accessible via simple RESTful interfaces. • Data Integration Hot-Housing and Prototyping Reduce Cost • Master Data Management Minimise integration time and effort by using a light-touch • Data Integration within a SOA environment approach where new data sources can be quickly and easily added and change can be absorbed with minimum impact. TM Anaeko configures A-DAS to access each data store in the Promote Governance customer business networks. Through the A-DASTM Support SOA style governance by leaving control at the source, management interface we define what information to make whilst simultaneously promoting unified access and available to what services and define the relationship between serendipitous reuse throughout the organisation TM similar and conflicting data. A-DAS sources, caches and intelligently consolidates enterprise data to create virtual views Reduce Risk across all data. As new data stores become available they can Reduce risk of vendor and technology lock-in; knock on effects be added to the growing federation. from data change, and stale, inaccurate data. Individuals, teams and organisations access the consolidated Reduce Effort data federation through simple standards based interfaces. Rapidly create prototypes of data integration scenarios to The comprehensive rich data views can be leveraged to assess data quality, visualise results and communicate trade- deliver a new generation of user centric services. offs. Deliver Enterprise Class Solutions Light enough to be deployed in modest environments, yet scales to cope with advanced federated search and query across distributed and heterogeneous data sources
  • 2. Architecture Federation Layer The Anaeko Data Agility Server (A-DAS™) is an enabling data integration infrastructure solution that provides a consolidated The federation layer provides real-time federation of view of disparate structured and unstructured data sources. distributed data queries • Transformation - User defined scriptable A-DAS™ simplifies the creation of relationships between the transformations can be applied to the data “on the fly”. many different data sources thereby creating a richer set of • Aggregation - Combination of the returned data sets. customisable materialized and virtualized views. supporting unions and joins of the merged data • Cleansing - Defined scriptable cleansing operations to A-DAS™ has a three layer logical architecture: be applied to the data • Optimisation - Query rewriting, intelligent distribution of Presentation Layer the query across the federated source. Performs pushdown analysis to utilise any back-end data source The presentation layer provides simple application and user optimisations interfaces to access the data. • Representation - Tailors the data returned to suit the Adaption Layer client capability The adaption layer provides a plug-in adaptor framework, • Caching - Support for web caching with a fully HTTP 1.1 which comes with a number of predefined out-of-the-box compliant interface. adaptors that can be configured to connect to Relational • Queries & Views - Query processing engine and View Databases, Web Services etc. It also supports the easy catalogue. Supports the creation of queries and views and creation of adaptors for legacy and future data stores enables distributed query processing • Metadata - Supports Metadata discovery and creation, allowing simple browsing from any web browser as well as integrated IDE support for the Eclipse platform. A-DAS™ Logical Architecture
  • 3. Features Unified Access Light Touch Integration • • Out of the box access to common data sources, Supports distributed & centralised deployments including relational databases, web services, XML, • Supports multiple platforms to fit existing environments XMPP and SNMP device • Dynamic addition and removal of data sources • Modular architecture and extensible SDK for rapid • Builds on the emergent reuse of the web through its development of custom adapters for legacy and RESTful interfaces proprietary sources. • Standard HTTP and mime support - reduce cost of 3rd • Unified and simplified access to data across distributed part integration sites. • Support for everyday end-user tools e.g. Excel, web • Flexible metadata management with support for browser etc browsing, discovery and annotation • Self-describing RESTful interface Performance and Scalability • Light enough to tackle the simplest task but Scales for Data as a Service tasks commonly associated with application servers. • Simple data service discovery using the A-DAS™ rich • Create a lightweight cached data service, from single client or through a standard web browser sources or across multiple sources • Incremental, rapid evolution of data services • Support for HTTP caching and proxies • Flexible client access with support for internet mime- • Operates in both asynchronous callbacks mode and types; data is returned in standard client appropriate synchronous access mode formats (HTML, XML, MS Excel, JSON, etc) • Can be deployed on commodity hardware • Plugs into your existing web infrastructure • High availability support via 3rd party load balancers • Protect your data sources by creating an A-DAS™ data • firewall Utilises a highly scalable stateless Resource Oriented Architecture (ROA) Query and Transform • Stateless design allows for complete horizontal and • Create ad-hoc queries and predefined data views using vertical scaling real-time data integration and on the fly optimised queries across heterogeneous data sources Specifications • Declarative data access, with support for core relational semantics; ask 'what' not 'how' Supported Data Sources • Built in support for data cleansing and transformation, • Relational Databases (Oracle, MS SQL Server Sybase, with provision for extensible, scriptable data DB2, MySQL, , MS Access, Informix) manipulation in real time, without affecting the • underlying data source Web Services (SOAP, REST) • • XML Bring the power of SQL to non-relational sources • Presence Servers (XMPP, Jabber) • Peer-to-Peer query processing • Location Severs (Parlay X) • Query optimisation with query rewriting, query • distribution and query pushdown. SNMPv2 capable devices • CSV, MS Excel Spreadsheets Security • Custom adapters developed to specification • All components can be distributed on different network segments allowing standard firewalls to be leveraged Application Interfaces • Communication between all distributed components can • HTTP, HTTPS, HTML, XML, CSV, JSON utilise SSL tunnelling • Apply fine-grained access control on an individual field Management Interfaces basis • JMX, Eclipse IDE Plugin Tools and Management • Remote standards compliant management through JMX Platform Requirements • Rich client interface to management and metadata • Memory: 1GB RAM utilities • Disk Space: 100MB • SDK client libraries • Operating System: Any OS with Java support: • Integrated IDE support for Eclipse o Windows (2000, XP, Vista) o Linux (Red Hat, Ubuntu, Debian, Fedora) o Unix (Solaris, HP-UX, AIX)
  • 4. Deployment About Anaeko A-DAS™ can be deployed in a completely flexible manner Anaeko was established to address the increasingly complex with services distributed to suit load and security and challenging data management issues in large requirements. In the simplest deployment, the solution is organisations and over the years has developed world class centrally deployed with remote connections to distributed data competencies in agile data integration, specifically RESTful data federation. Anaeko has formulated the Agile Data stores. ™ Integration Methodology - a distinctive approach to data A-DAS™ can either be installed on commodity hardware or integration based on agile principals where early validation delivered as a completely managed service. and continual refinement guarantee timely solutions that are fit for purpose. This approach promotes quick decision The example below shows a centralized deployment of A- making and prevents changing business objectives from DAS™ core and two adaptors (Node A) with load-balanced jeopardising data integration projects. database connectors distributed for performance and availability (Node B). Anaeko's ability and reputation to deliver quality systems and data integration consultancy is demonstrated by a list of clients that includes Meteor Mobile, BT, InterTradeIreland, Accuris Networks, mFormation, ChangingWorlds and many more. Headquarters: Anaeko, Weavers Court Business Park, Linfield Road, Belfast, BT12 5GH, Northern Ireland Telephone: +44 (0)28 90 224 005 Email: info@anaeko.com www.anaeko.com Copyright: 2009 Anaeko Ltd. All rights reserved. Anaeko and the A- DAS™ product name are trademarks or registered trade marks of Anaeko Ltd. All other brands, products or service names are, or may Example A-DAS™ Deployment be, trademarks or registered trademarks, and are used to identify products and services of their respective owner. The A-DAS™ Management GUI