TimeXtender is the leading Data Warehouse Automation on Microsoft SQL platform. The enclosed presentation provides you with a list of the features and functionality available.

1. TX2014 FEATURE HIGHLIGHTS

2. TX2014
FEATURE
HIGHLIGHTS
Discover what distinguishes us from the rest.
TX2014 offers powerful and flexible features that address
your data warehousing needs. Browse this book to learn
more about our most exiting features and find out why more
than 2,600 companies worldwide have chosen TimeXtender
Softwares's Data Warehouse Automation Platform to fill their
data warehousing needs.
For more inspiration or contact visit
www.timextender.com
Enjoy!

3. Data Warehouse Automation – and more. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 4
FEATURES
Data Warehouse. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 6
Data Staging . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 6
Data Lineage Diagrams. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 7
Automated Documentation . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 8
Incremental Load. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 9
Managed Thread Execution. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 9
Table Partitioning. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 9
SQL Snippets. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 10
Work Items. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 10
Version Control. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 10
Team Development. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 11
Multiple Environment Deployment . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 11
Online Analytical Processing (OLAP) Cubes. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 12
Business Perspectives. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 12
Offline Cube Processing. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 12
Writeback for SSAS Multidimensional. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 13
Language Control for SSAS Multidimensional. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 13
QlikView Modeler and Script Generator. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 13
APPLICATION ADAPTERS
SAP R/3. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 14
SalesForce.com . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 14
Dynamics CRM Online Adapter. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 14
TABLE OF CONTENTS

4. The TX2014 Data Warehouse Automation Platform makes build-
ing a data warehouse faster and easier than ever before. Long
gone are the days of late night coding sessions and futile at-
tempts to keep the entire data warehouse solution in your head.
TX2014's innovative drag and drop interface minimizes the need
to code SQL, while its automatization features save you large
amounts of time and improve performance to levels impossible
to reach with a traditional, "hand-coded" approach.
Build OLAP cubes faster than ever
But having a data warehouse is rarely a goal in itself – the value
of a data warehouse is measured in the insights it gives the
business. TX2014 enables you to build OLAP cubes and QlikView
Models that give the users in your organization the data they
need to make better decisions and drive the business forward.
All in the same fast and user-friendly interface used for building
your data warehouse.
Seamless integration with Microsoft SQL Server tools
While the aim of TX2014 is to eliminate the need for coding data
warehouses and OLAP cubes, we do recognize that there are
situations that call for code. As a Data Warehouse Automation
Platform, TX2014 works seamlessly with other tools on the
Microsoft SQL Server to create the solution you need.
Data Warehouse
Automation
– and more
”TX is what I call ‘a magic tool’.
We could develop a solution
in about one fifth of the time
of what we needed with the
classical tools.”
Luc Cos, Managing Partner, CALM – Co
PAGE 4

5. Dynamics
Data Sources Data Warehouse OLAP
Dimensions
Reports
Staging Area
Oracle
SAP
Other
Data
Cleansing
Data
Quality
RAW (_R)
VALID (_V)
Data
Cleansing
Data
Quality
RAW (_R)
VALID (_V)
The Data Warehouse Process – from Data Source to Business Insights
PAGE 5

6. Feature
Data Staging
The data staging area is a temporary location for data between
the source systems and the data warehouse. This is where source
data is copied to in the extract phase of ETL and is the first inte-
gration point for data coming from multiple source systems. This
is also where the majority of data cleansing and data validation
is performed, prior to copying the cleaned and conformed data
into the data warehouse for persistent storage.
The rich transformation and data validation features available
in TX2014 allows you maximum flexibility, whether you just
want to use the staging area as a time wise integration point
of data from multiple sources with different load schedules or
if you want to implement a fine grained cleansing procedure.
This ranges from rich drag and drop features to custom SQL,
user-defined functions and stored procedures.
Load strategies include both source- and target based incremen-
tal load, full load and windowed loads and can be configured
on a per table basis.
Feature
Data Warehouse
The overall purpose of a data warehouse is to integrate corporate
data from various internal– and external data sources. Data is
collected over time and stores historical events that are often not
persisted in the source systems and is also commonly referred
to as the single version of the truth, making the data warehouse
an important asset for the organization. Data warehouses can be
modeled in a relational or dimensional form of which the latter is
the most common.
The star schema model is the most widely used data model for
data warehousing, and the de facto standard for business focused
reporting. Although the meta data driven engine in TX2014 is powerful
enough to also support other models such as Inmon and Data Vault,
TX2014 has an emphasis on the star schema model, also known
as Kimball dimensional modeling which means that features such
as surrogate keys, slowly changing dimensions, aggregations and
almost everything else from the 34 subsystems of ETL are supported.
TX2014 is also build to scale and perform, thus it includes sup-
port for a wide range of loading strategies such as source- and
target based incremental load, just as table partitioning and data
compression is a five minute operation to implement.
Feature
Data Lineage
Diagrams
Most data warehouse developers have experienced the challenge
of answering a common question like “what data source fields are
we using for this measure?” and sometimes you can even add
“and what are we doing to it in the ETL process?”
If you are one of the many, that either do not have complete
end to end documentation or have documentation that might
not be completely updated, the tracing feature of TX2014 will
come in handy.
To answer a question like above for any measure in TX2014, simply
right-click the measure and activate the trace menu option. This
will show all steps between the data source(s) and the measure,
including any transformations happening in the process.
PAGE 6

7. TX2014 includes fully automated generation of documenta-
tion, including full version control to ensure that the gener-
ated documentation corresponds to the deployed version of
the project. Comments can be added to all elements in the
project.
The documentation comes as a hyperlinked PDF document
based on a template you can be modify as you please. The
documentation is valid for IT Audit under SOX.
Feature
Automated
Documentation
PAGE 7

8. TX2014 supports both source and target based incremental load.
The point, in both cases, is to minimize the need for loading
and transforming the same data over and over, significantly
speeding up the overall ETL process.
Source-Based Incremental load takes advantage of situations
where TX2014 can rely on the source system to identify new or
modified records. TX2014 then only loads these records from
the source system, skipping unchanged records.
Source-Based Incremental Load can be combined with Target-
based Incremental Load for even better performance. The
target-based approach controls how data is inserted, updated,
and deleted between raw and valid table instances, which
improves load times on very large tables.
Unlike the source-based approach, Target-based Incremental Load
works even when the source system cannot tell which records
are new or modified.
When you use Target-based Incremental Load, one or more fields
that uniquely identify a record are hashed together into a new
system field that is used to compare incoming and existing records.
TX2014 the uses a second hashed value, based on a selection
of fields chosen by the user, to decide which records to update
in the valid table. This minimizes the number of updates, thus
improving the load performance.
TX2014 utilizes an automated method of project execution that
enables much faster execution than it is possible with tradition-
ally developed approaches.
Managed Thread Execution uses multiple threads and optimizes
the order of execution to speeds up the execution of a project.
Multiple threads enables TX2014 to do more work in the same
amount of time and TX2014 manages the work to make sure
that tables, cubes and scripts are executed in the correct order.
In some cases, project execution time can be cut in half com-
pared to the single-threaded un-managed execution in earlier
versions of TX.
To complete the execution in the smallest amount of time, it
makes sense to execute the largest tasks at the beginning. With
Managed Thread Execution, TX2014 takes care of that as well
to achieve the fastest possible execution.
Managed Thread Execution can halve execution times compared
to traditional single-threaded un-managed execution, opening up
a world of opportunities. For instance, it enables multiple daily
updates of even large business intelligence solutions, ensuring
that you always have an up-to-date basis for decision-making.
Table partitioning offers the ability to separate the contents of
a logical table into separate physical storage units. This can
greatly improve performance as only the partition(s) affected
by a query, an insert or update operation will be touched.
TX2014 manages partitions with a template based approach,
which allows easy reuse of partition patterns across multiple
tables. When using a partitioned table as the fact table for a
SSAS multidimensional cube, TX2014 will even create cube
partitions that are aligned with the table partitions.
Please note that table partitioning is available in all versions of
SQL Server supported by TX2014, but is not part of all editions
of SQL Server.
Feature
Incremental Load
Feature
Managed Thread
Execution
Feature
Table Partitioning
PAGE 8

9. With SQL Snippets, TX2014 makes it easy to reuse bits of SQL
code in transformations. SQL Snippets do not break when you
rename objects, are easy to apply, and enables you to edit code
for many fields in one place.
SQL Snippets are parameterized SQL code with strongly typed
SQL transformations. As a result, when a table or fieldname is
changed, the transformations that use them are also changed.
When you have created a SQL Snippet, you can use it in any
project in the project repository. The snippet can also be ex-
ported and imported into other project repositories.
You can add your SQL Snippets to all appropriate fields in the
project. You can always see an overview of where a particular
SQL Snippet is used, and you can update SQL Snippets as
required.
You can apply SQL Snippets to transformations, views, stored
procedures, user defined functions, and script actions.
Work Items make collaboration on TX2014 easier for you and
your team. You can use Work Items to keep track of who is work-
ing on which objects when you have a group of data warehouse
builders working on the same project.
While Work Items is not a mechanism for locking files, it does
make it considerably easier for you to discover possible con-
flicting changes.
Work Items are useful in single developer scenarios as well. If
you are the only developer, you can use Work Items to keep
track of which objects have been changed in which version.
TX2014 keeps track of changes to your project with version
control, also known as revision control, and enables you to work
with your project with peace of mind, since you can always go
back to a previous version of your project if needed.
A project is defined as the collection of objects such as tables,
dimensions and cubes but also includes settings for source
and destination connections. Apart from the ability to restore
the project to an earlier point in time, version control serves to
document the history of the project.
The initial set of objects will be assigned version 1 on the first
save of the project. Every subsequent save will be assigned an
incremental version number 2, 3, 4 and so on. Each version
uniquely identifies the state of the objects as they were at that
point in time. A version also identifies the person that made the
changes, a timestamp identifying when the changes were made
and optionally a description of the changes that were made.
A version of the project is generated both when a project is saved
explicitly and when one or more objects are deployed onto SQL
Server. The later means that a restore point is automatically
generated every time an object such as a table, dimension or
cube is created, modified or deleted on SQL Server.
Feature
Version Control
Feature
Work Items
Feature
SQL Snippets
PAGE 9

10. TX2014 supports multiple concurrent developers, effectively
allowing true team development.
In TX2014, it's is possible to lock projects at object level, such
as a single table or dimension. Objects can still be locked at a
higher level such as an entire data warehouse or even the entire
project, for major changes. This flexibility supports different
flavors of collaboration between developers.
When working in team development mode, work items are
available as a check-in/check-out mechanism to keep track of
work in progress. Work items does not enforce an exclusive lock,
but ensures visibility about work in progress across concurrent
developers, aiding to prevent conflicts.
Similar to other development collaboration platforms, Team
Development is designed to support multiple developers work-
ing concurrently on separate objects within the same project.
Team Development does not guarantee that conflicting changes
cannot be made, but it aids at preventing conflicts during high
visibility of work in progress. If a conflicting change has been
made, the version control capabilities of TX2014 allow you to
reopen a previous version of the project.
As the BI backend has become a mission critical asset, it is often
needed to have separate environments for development and
test, prior to implementing additions and modifications into the
live environment. Common scenarios are development-test-live
and development-test-QA-live.
With the Multiple Environment Deployment feature, you are
offered a configuration approach to ease the migration prog-
ress across as many environments as you require. Projects are
always transferred as a whole, thus you will never again need
to worry about forgetting to transfer or change individual tables
or packages. All transfers are version controlled and sequence
is enforced to prevent unintended transfers.
Add-on Feature
Multiple Environment
Deployment
”Before I started using Multiple
Environment Deployment, I had
to build cubes outside of office
hours, so that I didn’t disturb
users in their work if I made
mistakes or had to deploy new
cubes.”
Flemming Andersen, IT Manager, JP Group
Add-on Feature
Team Development
PAGE 10

11. Add-on Feature
Online Analytical
Processing (OLAP)
Cubes
An Online Analytical Processing (OLAP) cube is a very powerful
technology for multidimensional analysis of very large amounts
of data. Following the dimensional data warehouse model, data
is divided into facts and dimensions where facts represent the
(mostly numerical) values we want to measure and dimensions
describes the context of the measures. If you imagine a cube
as a predefined and pre-calculated combination of all values for
dimensions such as products, customers, vendors, employees
over all time for all measures, you probably get the picture.
The modeling capabilities of cubes are virtually endless and
includes role-playing dimensions, parent-child dimensions, refer-
enced dimensions, many to many relations, standard-, derived-
and calculated measures, multiple partitions and so much more.
Cubes have a reputation of being complex to build and especially
the Multidimensional Expressions (MDX) language for being hard
to learn. This is where the drag and drop interface of TX2014
helps to take away most of the complexity in both building
cubes, but especially with the business functions that aids in
implementing even complex MDX calculations using a reusable
and parametrized interface. This allows you to take advantage
of cubes without fearing the complexity.
While some cubes are limited in scope, others are very complex
and contain multiple measures and dimensions. For a business
user, it can be a frustrating experience to navigate the measures
and dimensions of a complex cube when trying to locate the
data that is relevant for their reporting requirements.
The solution is Business Perspectives on cubes. They allow you
to create views that contain only a subset of the data in the
cube. So if a user only needs sales forecasting data, then that’s
what he or she sees. The cube appears less complex, the user’s
task becomes more straightforward, and valuable time is saved.
Only the Enterprise and BI editions of Microsoft SQL Server
support the use of perspectives, but with TX2014, you can have
the same functionality even if you do not have one of these edi-
tions. TX2014 can create physical perspectives, which deploys
the perspective as a sepearate cube.
Add-on Feature
Business Perspectives
TX2014 contains everything you need to build a
powerful data warehouse solution out of the box.
Add-on Features and Application Adapters
enable you to tailor your data warehouse to
your needs with features beyond the core Data
Warehouse Automation functionality of TX2014.
PAGE 11

12. Add-on Feature
Offline Cube
Processing
As Business Intelligence (BI) has become a mission critical
asset in both strategic, tactical and operational levels of busi-
nesses, the demand for minimal downtime of cubes and data
warehouses increase. The business simply cannot afford not to
have access to these decision support systems to make better
and faster decisions.
If you are not on Microsoft SQL Server Enterprise Edition or simply
prefer a more managed alternative to the proactive caching feature,
the offline cube processing feature of TX2014 is for you.
The offline processing is achieved by processing an offline ver-
sion of the SSAS Multidimensional database, while front end
access is provided through an online database. At the end of
a successful update of the offline version, this will seamlessly
replace the online version.
When combined with other performance improving features of
TX2014, such as managed thread execution this will not only
allow minimal disturbance of end users, but also improve the
overall load performance.
The offline cube processing feature of TX2014 is available on
SQL Server 2005 and above. The minimum required edition is
Standard.
”Using the Offline Cube Proces­
sing feature of TX2014, we have
reduced the OLAP processing
time considerably, and we can
process the data cubes several
times a day. We have practically
no downtime anymore and
the end-user experience has
improved greatly.”
Flemming Andersen, IT Manager, JP Group
PAGE 12

13. Cube writeback is used for budgeting, forecasting or any other
scenario in which you need to enter data into your reporting
structure. As an example you can imagine a budgeting scenario
where actuals is provided by the source systems, while the
budget amounts are entered in a front-end application such as
Excel or Calumo.
The values entered manually are stored in a separate partition on
the data warehouse and merged with the fact table. When using
the TX2014 Meta data driven model, the write back partition is
created and maintained automatically, even if the structure of
the fact table changes.
When you operate in a multilingual environment, there is a need
to deliver the presentation layer to the consumers of cubes in
multiple languages. The translation capabilities of TX2014 allows
you to easily maintain the translations for multiple languages
in a single screen. Translations include both captions/labels for
dimensions, measures, display folders etc. as well as values for
dimension members such as product names supplied from a
field in the underlying dimension table.
As an addition to the translation capabilities of the Microsoft
native tools, TX2014 is capable of hosting multiple versions of
the same language. This allows for offline editing of translations
without affecting the live cubes until you are completely done
with the new version of the translation.
QlikView®
is a very popular presentation tool, which allows
business users to rapidly build views and dashboards. The back
end implementation however very easily gets quite complex
and time consuming, due to the need for scripting. Using the
TX2014 drag and drop interface, you create QlikView®
models
ready for import into your QVW documents, thus eliminating
the need for any scripting in QlikView®
.
The models automatically include surrogate key for composite
joins, thus eliminating the need for slow and complex synthetic
keys. It uses the resident clause and allows for storage into QVD
files for better performance and optionally offers translations
to create models in several languages.
The TX2014 QlikView®
adapter simply allows you to combine the
best of two worlds, providing you agility in both data warehous-
ing and presentation. It gives you all the benefits from scalable
Kimball dimensional data warehouses.
Add-on Feature
Writeback for
SSAS Multidimensional
Add-on Feature
Language Control for
SSAS Multidimensional
Add-on Feature
QlikView Modeler
and Script Generator
PAGE 13

14. Application Adapter
SAP R/3
If your organization uses SAP, you can easily extract data from
your SAP R/3 system into a Microsoft SQL Server based data
warehouse solution with TX2014. It has never been easier to
migrate data from R/3 to SQL Server.
The TX2014 SAP adapter offers you a number of different mod-
ules for SQL Server based on certified technology from German
SAP experts Theobald Software:
Table. Extracts data quickly and reliably. Depending on your
need, data can also be restricted with any Where statement.
There is also support for Dynamic SQL statements, including
SSIS variables.
Query. Makes type-safe SSIS data flows from SAP Queries
available in just seconds.
DeltaQ. Connects to the extractor API of the SAP system and
thereby utilizes the functionality that SAP’s Business Information
Warehouse (BW) systems use to manage their data supply
from the ERP production system. It enables SAP controlled
incremental loads.
BAPI. Makes it possible to call BAPIs and RFC function modules
directly from your SSIS data flow.
BW Cube. Extracts attributes and key measures from BW Cube
and BEx Queries. Complex multidimensional data structures are
turned into relational data that are easy to handle.
With TX2014, your SalesForce.com data is no further away
than the server in your basement. The TX2014 SalesForce
adapter enables you to use your organization's CRM and sales
data in SalesForce.com on an equal footing with locally hosted
production systems or other remote data sources. A 360-degree
view of your business is just a few clicks away.
The Dynamics CRM Adapter addresses the fact that more and
more companies are using the cloud-based version of Dynam-
ics CRM. In a locally hosted Dynamics CRM solution you can
use a SQL Server connector to connect to your CRM data, but
in a hosted, cloud-based solution this option is not available.
The Dynamics CRM Adapter comes with the same interface and
options as other data source adapters in timeXtender.
• Preview of source data
• Selection Rules (except custom selection rules) Additional
data source connectors (requires Corporate or
• Enterprise Edition of timeXtender)
• Incremental Load
Application Adapter
Dynamics CRM
Online Adapter
Application Adapter
SalesForce.com
PAGE 14

15. More TX2014
TimeXtender Academy
Please visit our website to learn more about the TX2014 Data
Warehouse Automation Platform, sign up for a trial or get in
touch with us.
www.timextender.com
The TimeXtender training classes emphasize the key concepts
of TX2014 and our agile approach to data warehousing. The
training is conducted by our in-house consultants to ensure
that you are trained by specialist who know all the ins and outs
of the product. The classes combine theory and hands-on as-
signments, so that you are able to explore the product yourself
and ask questions.
www.timextender.com/training
Agile
Dimensinal
Modeling
Training
ETL
Training
timeXtender
Certification
Workshop
PAGE 15

16. TimeXtender Software® is a world leading Data Warehouse Automation (DWA) vendor dedicated to Microsoft® SQL Server®. Our
fast and user-friendly DWA platform TX2014 is all about minimizing the time spent on turning complex data into valuable information.
Without coding. And without compromising on performance or possibilities.
TX2014 Feature Highlights (v. 1.0) © 2014 TimeXtender®
. TimeXtender®
is a registered trademark of TimeXtender Holding. All other product names mentioned in this
document may be trademarks or registered trademarks of their respective companies. SAP and SAP R/3 are registered trademarks of SAP AG in Germany and in several
other countries. Microsoft, SQL Server, and Microsoft Dynamics are either registered trademarks or trademarks of Microsoft Corporation in the United States and/or
other countries.
www.timextender.com