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GenAI Accelerator

Dat­ab­ricks Accel­er­a­tion Framework


Accel­er­ated cloud DWH pro­jects with the Dat­ab­ricks Accel­er­a­tion Framework

Descrip­tion


Accel­er­ated cloud DWH pro­jects with the Dat­ab­ricks Accel­er­a­tion Framework

The product

What is the Databricks
Accel­er­a­tion Frame­work
?




The Dat­ab­ricks Accel­er­a­tion Frame­work is an innov­at­ive frame­work that sig­ni­fic­antly accel­er­ates the setup and migra­tion of cloud data ware­houses. As part of our con­sult­ing approach, it ensures the smooth integ­ra­tion of data from a wide vari­ety of sources, guar­an­tees qual­ity, and also lays the found­a­tion for indi­vidual busi­ness logic. Our ser­vice helps you to sim­plify com­plex data land­scapes, to design effi­cient pro­cesses, and to identify and rec­tify errors at an early stage. With its scal­able archi­tec­ture and a power­ful metadata frame­work, the Dat­ab­ricks Accel­er­a­tion Frame­work provides a reli­able basis for your data strategy, allow­ing you to focus on busi­ness-crit­ical trans­form­a­tions and decisions while we mas­ter the tech­nical com­plex­it­ies for you.

Advant­ages

Included com­pon­ents


Core com­pon­ents of the Dat­ab­ricks Accel­er­a­tion Framework.



Mod­u­lar and expandable


The Dat­ab­ricks Accel­er­a­tion Framework’s mod­u­lar design enables its tar­geted expan­sion, like integ­rat­ing addi­tional data sources or spe­cific func­tion­al­it­ies, keep­ing the frame­work flex­ible and future-proof. 


Gen­eric, metadata-driven design


Thanks to its flex­ible metadata frame­work, the Dat­ab­ricks Accel­er­a­tion Frame­work adapts effort­lessly to dif­fer­ent pro­jects. In many cases, simple metadata adjust­ments are all that’s needed to integ­rate new data sources – without extens­ive devel­op­ment work.


Power­ful and scalable


With its archi­tec­ture based on Spark and Dat­ab­ricks, the Dat­ab­ricks Accel­er­a­tion Frame­work also pro­cesses large volumes of data effi­ciently and reli­ably – per­fect for the require­ments of mod­ern cloud environments.


Cloud-inde­pend­ent


The use of Dat­ab­ricks makes the frame­work com­pat­ible with all major cloud pro­viders: AWS, Azure and GCP. This inde­pend­ence gives you max­imum flex­ib­il­ity when choos­ing your infrastructure.


Integ­rated CI/CD and test framework


With ready-made con­cepts and scripts, the Dat­ab­ricks Accel­er­a­tion Frame­work sup­ports seam­less deploy­ments via CI/CD pipelines. A spe­cially developed test frame­work ensures that load­ing and trans­form­a­tion pro­cesses run reli­ably and error-free.


Error hand­ling and logging


Intel­li­gent log­ging and error man­age­ment mech­an­isms ensure trans­par­ency and help to identify and resolve prob­lems quickly, guar­an­tee­ing smooth operation.

Structure of the Databricks Acceleration Framework

Structure of the Databricks Acceleration Framework




The Dat­ab­ricks Accel­er­a­tion Frame­work is our power­ful accelerator for set­ting up and migrat­ing mod­ern cloud data ware­houses. With a flex­ible metadata frame­work, intel­li­gent error man­age­ment and robust pro­cesses, it ensures effi­ciency and con­sist­ency. It accel­er­ates the integ­ra­tion of diverse data sources and cre­ates a solid found­a­tion for your indi­vidual busi­ness logic – so you can focus on what really mat­ters: Your busi­ness results.

Experts

synvert experts


Experts

synvert experts


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