Top Tweets for #ReusableCodeBlocks
Create generic, portable, #ReusableCodeBlocks and share them with the rest of the #DataLake, to promote best practices, kickstart new projects & increase overall #collaboration and #productivity. https://t.co/4g8oqleGmd
#DataScience #MachineLearning #DataTeam #ML #DataScientists
Create generic, portable, #ReusableCodeBlocks and share them with the rest of the #DataLake, to promote best practices, kickstart new projects and increase overall #collaboration and #productivity. https://t.co/4g8oqleGmd
#DataScience #MachineLearning #DataTeam #ML
Are you wasting time adapting code to various environments? The #ReusableCodeBlocks functionality allows your #DataTeam to create generic, portable code blocks that you can share with the rest of the #DataLake, for increased collaboration and efficiency -> https://t.co/4g8oqleGmd
Create generic, portable, #ReusableCodeBlocks and share them with the rest of the #DataLake, to promote best practices, kickstart new projects and increase overall #collaboration and #productivity. https://t.co/4g8oqleGmd
#DataScience #MachineLearning #DataTeam #ML
Are you wasting time adapting code to various environments? The #ReusableCodeBlocks functionality allows your #DataTeam to create generic, portable code blocks that you can share with the rest of the #DataLake, for increased collaboration and efficiency -> https://t.co/4g8oqleGmd
RT @KirkDBorne
#ReusableCodeBlocks are shared across the #DataLake & can be parametrized to be configured when they run as part of a #workflow. This enables the workflow designers (#DataScientists #DataEngineers) to use the same #code block in multiple projects & multiple clouds
#DataScientists save time by adapting code to various environments using #Lentiq Reusable Code Blocks — from #container images or published #notebooks, then deployed in executable tasks: https://t.co/Fb832HZdOZ by @LentiqInc
#BigData #DataScience #MachineLearning #Agile #DataOps

Is your #DataTeam looking to put models in #production easily without the need of a dedicated #developer or #sysops? Then look no more, and check out Lentiq: #Workflows & #ReusableCodeBlocks to the rescue. https://t.co/4g8oqleGmd #DataLake #DataScience #Data #MachineLearning
The whole point of #Lentiq's #DataLake is to allow you to put things in #production without any help. With us, #DataTeams can write #portable, #scalable, cross-environment #code using our #AbstractionLayer and the #ReusableCodeBlocks functionality: https://t.co/4g8oqleGmd
Save time by adapting code to various environments using #ReusableCodeBlocks — built from #container images or from published #notebooks, and then deployed into executable tasks: https://t.co/JPQq2Pdvuc by @LentiqInc
#BigData #DataScience #MachineLearning #Agile #DataOps #Lentiq

"The #ReusableCodeBlocks are shared with the entire #DataLake and are stored in Lentiq's global registry, meaning that any user with access to it can reuse the #code block to perform similar #tasks."
More on Reusable Code Blocks on https://t.co/4g8oqleGmd
RT @KirkDBorne
Check out our new updates on #Lentiq 🥳 https://t.co/P6OwqAK171
- #workflow manager
- reusable #code blocks
- #model server
#DataScience #Analytics #MachineLearning #ML #WorkflowManager #ReusableCodeBlocks #ModelServer #Data #DataLake #DataAnalytics
New from @LentiqInc >> #BigData Analytics & ML workflow support, reusable code blocks, and model server in their DLaaS (DataLake-as-a-Service): https://t.co/kzKnsBdxBl
#MachineLearning #DataScience #DataOps #DataPools

RT @KirkDBorne
Package your #notebooks as executable #code ready to be put in #production, through our unique #ReusableCodeBlocks technology. This can help you automate your #DataScience workflow. Get free early access: https://t.co/apeWk0ZKlj
Whether you are a #DataEngineer or a #DataScientist, the @Lentiqinc EdgeLake lets you run, optimize and scale any batch, #RealTime, #DataProcessing or #MachineLearning workload. Read more about #Spark-as-a-Service on: https://t.co/V0SHuVT8Ws
#BigData #DataScience #AI #IoT

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