run your business faster - analyticscreator · 2019. 12. 5. · data lake store azure sql dw o....
TRANSCRIPT
![Page 1: Run your Business faster - AnalyticsCreator · 2019. 12. 5. · Data Lake Store Azure SQL DW o. Azure SQL DB Applications Azure Data Factory Business and custom apps (structured)](https://reader035.vdocuments.net/reader035/viewer/2022071511/612ff5681ecc51586943c932/html5/thumbnails/1.jpg)
Run your Business
faster
reinvent the Data thinking
< Data Automation and full BI-Stack Automation >
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Data Warehouse “Slot Machine”
▪ DWH limited to ETL Tools▪ Project cycles are long▪ Adaptions are time-consuming, expensive
and usually require DWH Experts▪ Project failure rate is high▪ Standardisation difficult▪ Lifecycle is limeted
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The solution - AnalyticsCreator
▪ Data automation for analytical applications, withoutExperts!
▪ Orchestrates the life cycle of data warehouses, datamarts (design, develop, change, deploy)
▪ Disrupt conventional ETL tool-approach (Extract, Transform, Load)
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AnalyticsCreator – die Lösung
▪ New construction and modernizationDWHs and entire BI-stack
▪ Reengineering approaches for DWH migration
▪ Full BI-stack generation▪ Easy to use – 25 minutes to create an
analytical application▪ Modern DWH standards
▪ Independence from BI Frontend paradigms
▪ AC is a pure designtime tool
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5-step approach
15
4
3
2
DEPLOYGENERATE CODE AND
STRUCTURE
ANALYZE & SUGGESTINTELLIGENT WIZARD
DECLARESEMANTIK OF DATA
CONNECTTO DATA
MODELOPTIMIZE MODEL
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Value Propositon
▪ Customer reaches up to 10 times faster results▪ Significant time and cost savings
▪ Minimizing project risks▪ Automated GDPR and compliance▪ Data Warehouse/Lake Modernization
▪ Independent from external/internal Consultants▪ Independent from technology considerations
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© Microsoft Corporation
Data processing with Azure SQL Data Warehouse / SQL DB
Modern Data Warehouse Pattern ELT
Orchestration
Load flat files
into data lake
on a schedule
Ingest storage
Data processing
& Serving storage
Load raw data
transform data in the
database
Logs, files, and media
(unstructured) Azure Storage/
Data Lake Store
Azure SQL DW o.Azure SQL DB
Applications
Azure Data
Factory
Business and custom
apps (structured)
Extract
relational data
Orchestration
Azure Data
Factory
Azure SQL DB
SQL
Azure Analysis Services
Power BI
Power BI
Services
Load raw data
transform data in the
database
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Sources Storage Layer Core Layer Datamart Layer In Memory/OLAP L. Presentation Layer
Persistent Staging & historizisedStorage
Data Vault 1.0, 2.0KimballHybrid
TransformationsCleansingAggregationConsolidationValidation
SubjectorientedProcessorientedFront roomInterface
Sourceanalysisengine
SQL generator SSIS generator
predefined source meta-connectors Metadata repository templates
Tableau
QlikView
SAP BO
IBM COGNOS
Sharepoint
Excel
SRS
ERP SAP
CRM
MS SQL ServerORACLEOLE DB
flat files
SOACloud
Data Mart Wizard OLAP generator PowerBI generator
ETL
STAR SCHEMA
Analysis CubesTabular Cubes
ETLETL
logical/persistent logical
ETL
ETL
logical/persistent
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Data Warehouse – On Azure SQL Database
AnalyticsCreatorCloud Generator
AnalyticsCreator Designeron Windows Client
DWH Meta Data
DAC PACdeployment
Data Warehouse - On PremiseMS SQL Server
ERP, direct connection
CSV, Excel, BLOB Store
CRM, ..
Any Frontend
SAP mit Theobald Connector
Source Meta Data
Data
Data
… any data sources
Typical runtime architecture(many different architectures possible)
AnalyticsCreator design-time tool
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Benefits for Management
▪ Minimizing project risks▪ Significant time and cost savings▪ Low TCO▪ GDPR and compliance▪ Ensures knowledge▪ Automatic documentation▪ Previous DWH investments can continue to
be used▪ Independence from any BI tools
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Benefits for development and users
▪ Reduce the complexity of BI and DWH applications▪ Quality improvement▪ Easy to use – quick results▪ Reuseablity / Templates▪ Use existing DWH layers and BI applications▪ Modern architecture/ approaches (DV 2.0)▪ Easy transition to future technology approaches▪ Standardization▪ Transparency▪ Data Linage
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Benefits for Software vendors
▪ Create/deploy industry sector or themetemplates
▪ Create/deploy metadata connectors▪ Templates are running without AC▪ Increase profitabilty of your managed
services offering and more▪ Clients which pretend all-in projects
▪ Much more exactly project calculation▪ Higher margin
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More uses cases▪ Clear decision for new DWH unlike a adaption▪ Modernization DWH▪ Projects that were not carried out because of
cost reasons, suddenly become feasible▪ Data Vault 2.0 Migration ▪ Regulation - GDPR /DSGVO, ..▪ AZURE /Cloud DWH
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Generated
Code
Framework
Revolution
Product
User-
driven
DWH
Idea of
generating
DWH
2010
2012
20172008
AnalyticsCreator
Company Launch
Teams history with DWA
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15
Customer Success
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Subscription Pakete
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Get Started
FREE ACCOUNT
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Contact Us
Send us a message
& connect:
Munich
Europe: +49 89 215422-41