Integrate io - The no-code data pipeline platform

Learn Xplenty a cloud based ETL Tool, its transformations and the advanced configurations of the platform

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Description

The course is about Xplenty and its features of integrating the data across cloud platforms

Xplenty is an advanced ETL/ELT tool which provides an excellent interface for data pipelines in the cloud architecture. The tool's graphical user interface enables the developers to create the flow in an efficient and optimistic way providing better solution on integrating the data

Xplenty can be simply termed as one platform for all you data integration needs

The tool provides the interface of below transformations,

Select                     Sample                     Filter

Sort                        Join                           Assert

Rank                       Cross Join                 Aggregate

Limit                       Clone                        Cube

Window                  Union                       Distinct         

                           

These pre-built transformations allows the users to transform their data and integrate with the destinations. Also the tool enables to integrate with multiple cloud application and services. We can also integrate with the social media platforms like YouTube, Facebook, LinkedIn, Instagram. etc., very easily. REST API's interface allows to connect with any web service platform and extract the data. There are numerous connections like Databases, File Storage's,  API's, Data Warehouse, Google Analytics, Google Adwords, Facebook Ads Insights, Salesforce, Snowflake, Google Spanner, NoSql .etc., are available in Xplenty

No prior coding experience is required to start with Xplenty

Xplenty provides an interface called, X-Console which is an excellent terminal enables the developers to test the transformation functions

What You Will Learn!

  • Learn Xplenty From Scratch
  • Cloud Based Data Integration Solution
  • Advanced Transformations for ETL and ELT
  • Cross Cloud Platform Integration
  • Creating Data Pipelines Across Multiple Cloud Architectures

Who Should Attend!

  • ETL Developers
  • Data Engineers
  • Data Architects
  • Data Migration Specialists
  • Cloud Data Engineers
  • Students
  • Professionals who wants to switch their career to ETL and Data Engineering