4 Simple Steps for Migrating to
Amazon SageMaker with zero coding
Create connections
between data
sources and Amazon SageMaker
Prepare a source to the Amazon SageMaker pipeline by selecting tables in bulk
Assemble a workflow and schedule it to start the Amazon SageMaker migration process
Share your data
with third-party platforms
over API Hub
-
Simple and Intuitive
Switch to Amazon SageMaker like a boss.
-
High Performance
Enjoy Amazon SageMaker high performance with codeless data environment.
-
Prebuilt Transformation
Say goodbye to tedious manual tasks with prebuilt transformation templates
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Monitoring Data
Monitor your Amazon SageMaker data frequently.
Integrate data from ERP, CRM, legacy databases, and other 300+ sources
Hear how Lyftrondata helped accelerate the data
journey of MOL Group
reporting
onboarded
reduction
sales
Lyftrondata enables instant analytics on WNI weather data that helped us streamline shipping lines. 
Koichi Tsuji
Consulting Partner at MOL Group
FAQs
What is Amazon SageMaker?
Amazon SageMaker Integration is a fully managed machine learning service. With SageMaker, data scientists and developers can quickly and easily build and train machine learning models, and then directly deploy them into a production-ready hosted environment.
What are the features of Amazon SageMaker?
What are the shortcomings of Amazon SageMaker?
Lack of Flexibility: Amazon SageMaker has a lack of flexibility available.
Unclear Costs: Amazon SageMaker has an Unclear Costing provision.
Lack of Community: Amazon SageMaker has a lack of Community.
Start Periscopernizing your 7analysis journey today
