evolution of data warehouse -...
TRANSCRIPT
![Page 1: Evolution of Data Warehouse - SourceMediapages.marketing.sourcemedia.com/.../images/Evolution_of_Data_Warehouse_-_SAP.pdfSAP BW/4HANA merges the power of the SAP HANA in-memory platform](https://reader033.vdocuments.net/reader033/viewer/2022041922/5e6c6196f345354fe95a7987/html5/thumbnails/1.jpg)
T I M E L I N E
THE EVOLUTION OFTHE DATA
WAREHOUSE
SAP BW/4HANA merges the power of the SAP HANA in-
memory platform with the business process expertise
of SAP BW. SAP BW/4HANA establishes a new
paradigm for data warehousing. This new paradigm
addresses the challenges of big data and real-time
processing while opening up new and untapped
opportunities for the businesses that use it.
1984
2011
HONEYWELL RELEASESMULTICS, THE FIRSTCOMMERCIAL RELATIONALDATABASE MANAGEMENTSYSTEM. THE MODERN ERAOF DATA MANAGEMENTBEGINS.
1976
Over the years , the data warehouse has been shaped by :
1) Re lent less technolog ica l deve lopment , and
2) The emergence of new bus iness processes and bus iness
models . Today bus inesses are go ing d ig i ta l . Organ izat ions
demand bet ter in tegrat ion of data , sca lab i l i ty to manage
rap id ly g rowing vo lumes of data , and ever - faster response
t imes. Can the data warehouse keep up?
TERADATA UNVEILSTHE FIRST COMMERCIALMPP DATA WAREHOUSEENVIRONMENT. ANALYSISAND REPORTING BEGIN TOACCELERATE AS COREBUSINESS PRIORITIES.
PRISM SYSTEMSINTRODUCES THE FIRSTPACKAGED ETL (EXTRACT,TRANSFORM, LOAD) TOOL
SAP BUSINESS WAREHOUSEACCELERATOR BRINGS IN-MEMORY PROCESSING TODATA WAREHOUSING
2005
SAP HANA IS THE FIRSTFULL IN-MEMORYDATABASE PLATFORM FORBOTH OPERATIONS ANDANALYSIS. THE STAGE ISSET FOR THE FUTURE OFDATA WAREHOUSING
2016
1995
More Information: www.sap.com/bw4hana
![Page 2: Evolution of Data Warehouse - SourceMediapages.marketing.sourcemedia.com/.../images/Evolution_of_Data_Warehouse_-_SAP.pdfSAP BW/4HANA merges the power of the SAP HANA in-memory platform](https://reader033.vdocuments.net/reader033/viewer/2022041922/5e6c6196f345354fe95a7987/html5/thumbnails/2.jpg)
E V O L V I N G V A L U E P R O P O S I T I O N S
INTEGRATED DATA FOR ANALYSIS
CLEAN / CONSISTENT VIEWOF DATA RESOURCES
HISTORICAL DATA
HIGH-PERFORMANCEANALITCAL ENVIRONMENT
RELIABLE, ADAPTABLEANALITCAL ENVIRONMENT
TECHNICAL VALUE
GAININGCOMPETITIVEADVANTAGE
REDUCINGOPERATIONAL
AND FINANCIALRISKBUSINESS
VALUE
OPTIMIZINGCORE BUSINESS
EFFICIENCIES
INCREASINGREVENUE
ANALYZINGAND
PREDICTINGTRENDS ANDBEHAVIORS
MANAGING CUSTOMER
EXPECTATIONSPROACTIVELY
MANAGINGBRAND
PRESENCE,CHANNELS, AND
REPUTATION
Data warehousing technology has evolved to provide
increasingly complex solution sets while addressing a
common set of core requirements.
As businesses have grown more data-centric, the data
warehouse addresses and expanding set of business
value propositions.
So
urce: D
ata Wareh
ou
sing
in th
e Ag
e of B
ig D
ata, Krish
Krish
nan
, 20
13
So
urce: "W
hy D
o W
e Need
a Data W
areho
use?" V
incen
t Rain
ardi, D
ata Wareh
ou
sing
Bu
siness In
telligen
ce Decem
ber 3
, 20
12
More Information: www.sap.com/bw4hana
![Page 3: Evolution of Data Warehouse - SourceMediapages.marketing.sourcemedia.com/.../images/Evolution_of_Data_Warehouse_-_SAP.pdfSAP BW/4HANA merges the power of the SAP HANA in-memory platform](https://reader033.vdocuments.net/reader033/viewer/2022041922/5e6c6196f345354fe95a7987/html5/thumbnails/3.jpg)
E V O L V I N G A R C H I T E C T U R E S
EDW
MetadataManagement, Admin, Security
Re
po
rting
an
d A
na
lysis
Visu
aliza
tion
Data Prep /ETL
OperationalSystems
ExternalSystems
DataMart
DataMart
REAL TIME AGILEDEPLOYMENT
OPENSCALABILITY
ADVANCEDANALYTICS
OPEN DATADISCOVERY
CLOUD READYMULTI
STRUCTUREDDATA
AGILEDEPLOYMENT
REAL TIME OPENSCALABILITY
ADVANCEDANALYTICS
OPEN DATADISCOVERY
CLOUD READYMULTI
STRUCTUREDDATA
EDW
MetadataManagement, Admin, Security
DataMart
Re
po
rting
an
d A
na
lysis
Visu
aliza
tion
Data Ingest /Cleansing
OperationalSystems
ExternalSystems
Internet ofThings
SocialWeb
DataMart
Data Lake
EDW
MetadataManagement, Admin, Security
Re
po
rting
an
d A
na
lysis
Visu
aliza
tion
Data Ingest /Cleansing
DataMart
OperationalSystems
ExternalSystems
REAL TIME AGILEDEPLOYMENT
OPENSCALABILITY
ADVANCEDANALYTICS
OPEN DATADISCOVERY
CLOUD READYMULTI
STRUCTUREDDATA
Internet ofThings
SocialWeb
Data Lake
DataMart
Logical DataWarehouse
SAP BW/4HANA
NE
XT
-GE
N D
AT
A W
AR
EH
OU
SE
DA
TA
WA
RE
HO
US
E + D
AT
A L
AK
E C
ON
VE
NT
ION
AL
DA
TA
WA
RE
HO
US
E
A CONVENTIONAL EDWENVIRONMENT CAN MEETMANY, BUT NOT ALL, OF THEANALYTICAL REQUIREMENTSTHAT BUSINESS FACE TODAY
A DATA LAKE CAN BRING MUCH-NEEDED CONTEXTUAL DATA TOYOUR DATA WAREHOUSE, BUT SUCH A HYBRID ENVIRONMENTIS NOT A FULLY INTEGRATEDSOLUTION
THE NEXT-GENERATION DATAWAREHOUSE PROVIDES A FULLYINTEGRATED ENVIRONMENT FORREAL-TIME ANALYSIS FOR THEENTERPRISE
StreamingData
StreamingData
More Information: www.sap.com/bw4hana