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3.8.0

Introduction to Xceed Analytics​

Xceed Analytics is a high performance unified Data first AI platform, which provides capabilities including data ingestion, data transformation, data analytics and visualization through a user friendly self-service interface.

High Level Capabilities:​

  • Data Connections: Provides ability to connect to 12+ third-party sources and read tabular data, including local files, cloud storages, ODBC compliant databases and cloud apis such as dropbox, twitter.

  • Datasets: Learns meta-data about the ingested data using an automated/user driven interface and stores the same in a local datalake for use by various data transformation workflows/analytical or predictive workflows as well as self-service dashboard.

  • Workflows: Workflows serve the following purposes: Data transformation and Enrichment: Provide users to do various custom operations to bring data in form and shape that is use-able by analytical workflows. Self service designer provides an easy to use interface for carrying out various popular transformations. Workflow outputs are further available as datasets for next level analytical usage.

  • ML Model Building: Provide users to use various automated Machine Learning Reciepes. Currently, Supported recipes (added in this release) include AutoML Classification, AutoML Regression and AutoML Forecasting. Self service designer provides an easy to use interface for carrying out various popular transformations. Workflow outputs are further available as datasets for next level analytical usage. Scheduling and Job Management: Once a workflow is designed and published, it can then be scheduled periodically or run adhoc from the scheduler interface

  • Dashboards & Self Service OLAP interface: Ability to create data stories on the fly by slicing and dicing through a Faceted self-service story designer.

  • Model Catalog: Ability to store the published models and manage using via self-service model catalog view (added in this release)

  • SQL Editor (New): Next Generation SQL Editor enables data analyst to run queries using multiple supported engine options (Spark SQL, Duckdb, Apache Drill), Users can further save queries as view or a persistant table. Analyst may further download query data as required.

  • Xceed Python SDK (New): Xceed Analytics now provides python software development kit to configure, manage and control Xceed Analytics Operations for various resources and services.

  • Xceed CLI (New): Xceed Analytics Command Line Interface(xacli) is now available (limited availability) for configuring, manage and control Xceed Analytics Operations. Please follow through the below link to go through xacli documentation

  • Multiple Compute Engines support now available across Workflow and SQL Views.

Whats new in Xceed Analytics Release 3.8.0​

Xceed Analytics Release 3.8.0 is a significant advancement from the previous release.

  • Data Engineering Capabilities:

    • Xceed Workflow Designer - No/Low Code User Interface enables data engineers now supports creation of workflows using multiple engines. Supported engines in this release include pandas and pyspark.
    • New processors added include Limit.
    • Changes to existing processors: Filter - Support for column comparision Conditional Processor - Support for column comparision Expression Processor - Improved auto-completion experience Python Script Processor - Readily available scaff-holding for quickly adding a pyspark or pandas step.

  • Data Analyst Capabilities: All new look and feel SQL UI view now enables analyst, data engineers to write sql query across multiple Xceed Analytics - Workflow Designer is now available. Following are some of the highlights of the features supported.

  • Xceed Python SDK - All new Xceed Analytics Python SDK now provides better operational control to data engineers and Pythonistas to configure and manage various xceed analytics services and resources. For more on Xceed Command Line Interface, refer to:

  • Xceed CLI - All new Xceed Analytics CLI enables users to configure and manage various xceed analytics resources and services via an intuitive command-line-interface. For more on Xceed Command Line Interface, refer to:

  • Alerts and Notifications:

  • User Settings:

    • Compute Environment: Add multiple compute engines (Spark, Duckdb, Apache Drill) via this interface.
    • Communication Settings: Configure slack, email notification end points
    • Developer Settings: Create and manage API access keys/secrets

Known Issues and Limitations​

  • Workflow Designer may feel slower for a long running pyspark along with other concurrent processes

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