Training Module:
WHAT IS TIMEXTENDER?
TimeXtender can help you build a data estate, understand its various use cases, and see common reference architectures.
goodbye, data management
HELLO, Data Empowerment
why do data teams need timextender?
Data is the lifeblood of modern businesses.
Data-empowered organizations are:
- 23x more likely to acquire customers
- 6x more likely to retain customers
- 19x more likely to be profitable
However, data teams are constantly struggling.
- Data scientists spend 45% of their time on data preparation.
- 63% of employees report they can't get the insights they need.
- 25% of business experts simply guess when making important decisions.
The results are in.
The "Modern Data Stack" is NOT meeting the needs of modern businesses.
To become data-empowered
organizations require fast access to reliable data for multiple use cases.
To accomplish this, data must be extracted from various source systems, cleaned, consolidated, and curated into reliable data sets for business consumption. Large organizations have many use cases for data, requiring a 3-tier architecture...
DATA LAKE
Data is ingested and stored in its raw form to be used by data scientists for AI and machine learning as well as feed the subsequent layers.
DATA WAREHOUSE
Data is cleaned and consolidated into a single version of truth to deliver reliable insights to business analysts.
DATA MARTS
Data is curated into a subset of models relevant for business users from different domains (sales, marketing, finance, etc.).
We refer to this as the DATA ESTATE
Surprisingly, these architectures are still commonly built with large teams of experts, using stacks of tools, manual hand-coding, and handwritten documentation over several months or even years.
No wonder 85% of these projects fail.
Ask yourself...
If my company needed a web page quickly, would I code it by hand using HTML and CSS?
Or would I use a modern drag-and-drop website builder?
If my colleagues requested an interactive chart or graph ASAP? Would I code it by hand using python or C#?
Or would you use Excel, Power BI, or Tableau?
So, if data is so important and time-sensitive, why would you hand-code your data estate?
Look, you can build your data estate like it's 1999... But you don't have to.
what is timextender?
universal connectivity
A directory of 250+ pre-built, fully-managed data connectors, with additional support for any custom data source means that you can get access to your data faster.
lineage & documentation
Instantly generate end-to-end data lineage and documentation to ensure users their data is complete, accurate, and reliable.
Agile, Low-Code
Automatically generate data cleansing and transformation code, allowing for faster, less error-prone development.
intelligent data pipelines
Since all object dependencies are fully managed, multiple pipelines are run in parallel and intelligently optimized by learning from past executions
Future-proof
With solutions stored as metadata, best-practice code is
being generated specifically for the platform you choose. Allowing you to switch to new modern cloud platforms, without needing to rebuild.
Timextender instances
TimeXtender solutions are built with the components of the data estate in mind. However, we refer to them slightly differently.
OPERATIONAL DATA EXCHANGE
MODERN DATA WAREHOUSE
SHARED SEMANTIC LAYER
Ingest
The Operational Data Exchange (ODX) is
where you ingest raw data from disparate sources into a centralized storage.
Prepare
The Modern Data Warehouse (MDW) is
where you cleanse, transform, and consolidate data into a "single version of truth".
Deliver
The Shared Semantic Layer (SSL) is
where you combine relevant data into models or data marts, and publish to various endpoints,
such as dashboards and data visualization tools.
when is timextender used?
Build new data infrastructure
TimeXtender is the fastest way to build a new Data Lake, Data Warehouse, or fully fledged Data Estate
integrate data for
mergers and acquisitions
Due to its speed and agility, many customers pick TimeXtender to quickly integrate data as they acquire new companies
finally achieve
self-service analytics
Finally keep up with business demands for data through an agile low-code approach that will satisfy even the most data hungry users
Modernize existing data infrastructure
TimeXtender integrates with the latest cloud analytics services, so you can modernize without re-skilling.
prepare data
for AI/ML
Extract and cleanse data 10x faster that traditional methods, you can prep data for your AI models in less time.
deliver
governed models for BI
Build dashboards and reports faster by maintaining and well organized data infrastructure.
who uses timextender?
1,000s of companies in nearly 100 countries around the world use TimeXtender.
Every industry vertical needs data, so any industry vertical can use TimeXtender.
how is timextender deployed?
TimeXtender can be deployed using many, different target platforms and deployment scenarios. Below are some of the most common and recommended reference architectures.
On-Premises SQL Server
Build a fully On-Premise Data Warehouse using TimeXtender
Azure SQL
Cost-effective cloud solution for small to medium size data warehouses.
Ideal for production data warehouses smaller than 1 TB
Azure sYNAPSE
Highly scale-able solution for enterprise-grade analytics.
Ideal for production data warehouses larger than 1 TB
Snowflake
Ideal for needs where in high performance, simplicity, concurrency and affordability are pillars for the data warehouse design.
AWS RDS SQL
Ideal Solution for managed, scalable, and highly available relational database service in the cloud with simplified administration and robust security
Section Quiz...
Planning to take the Solution Architect exam? Then you want to be sure these questions are easy to answer.
What are the 3 components of a Data Estate?
What are 3 common use cases for TimeXtender?
What are 3 common reference architectures, and how do they differ?
When you're ready, see Answers Below
Section Quiz Answers
What are the 3 components of a Data Estate?
Data Lake, Data Warehouse, Data Marts
What are 3 common use cases for TimeXtender?
Build new data Infrastructure,
Modernize an existing data warehouse,
Prepare data for AI/ML
What are 3 common reference architectures, and how do they differ?
On-Premises SQL Server, Azure SQL, Azure Synapse
Congratulations! You've completed the training module
WHAT IS TIMEXTENDER
