bg1.jpg

Deeper interactions. Broader context. Lightning fast.

Dopplr's D2022.2 release, contributes to our long term vision to solve the most complex use cases, all within a single end to end platform. With new features like project-type management module, extended AUtoML functionality, ML pipeline monitoring, Dopplr brings unmatched power to the core of self-serve analytics to help engage and retain more users.

DopplrTM Version D2022.2 Release Notes

Dopplr Projects:

With DopplrTM D2022.2, users now will be able to create projects which will group all assets (data file, workflows, ML models, dashboards, services etc) for a given analytics solution on Dopplr. There are 5 project types to choose from:

  1. Data Engineering: - project type is designed to enable all relevant features required for high performance data engineering.

  2. Business Intelligence: - This project type will let users create BI Projects from data ingestion to data curation and rich & interactive dashboards.

  3. Machine Learning: - A complete ML pipeline from data ingestion/pre-processing/model training/model optimization/model versioning/deployment

  4. Real-Time: - For high-speed data processing and automated actions on real time data. Mechanism to create alerts, pass signals as API is now possible on both raw and processed real-time stream data.

  5. XOps: - Govern, observe, secure, processes & apps running on Dopplr and even create a control centre dashboard to monitor or enable triggers on these processes/apps.

Ind01.jpg

Extended AutoML functionality:

With the latest release of Dopplr, now AutoML features clustering and forecasting module as well. Users need to ingest their data and choose from 4 ML class to build several models automatically based on given objective in DiMap. Dopplr’s AutoML runs several models in the class and presents best model for users to choose from.

Ind02.jpg

ML pipeline monitoring and model repository

Dopplr D2022.2 features a separate module for Tracking, monitoring, model repository, deployment options for every Dopplr ML runs in mlFlow.

Ind03.jpg

Refreshing colourful UI changes

Dopplr D2022.2 now features colourful icons, which makes it easier to logical group Dopplr features based on project type (Use-cases)

Ind04.jpg
pattern1.png

New data connectors added to Dopplr:

With D2022.2 release, Dopplr™ has added following new connectors that can be used to ingest data directly to Dopplr’s workspace.

Following new data connectors added to Dopplr™ D2022.2

druid.png
D2022.2.6.png
hive-logo.png
spark-white.png
kafka-logo-wide.png
google-bigquery-logo-white.webp

Cloud Platform

Built On The Cloud Provider Of Your Choice

Contact

Expert Teams To Help At Every Step Of The Journey

INTERNATIONAL HEADQUARTERS

1 North Bridge Road, 30 HighStreet Centre, Singapore 179094

INTERNATIONAL HEADQUARTERS

1 North Bridge Road, 30 HighStreet Centre, Singapore 179094

GLOBAL HEADQUARTERS

500 North Brand Blvd., Suite 1900
Glendale, CA 91203

GLOBAL HEADQUARTERS

500 North Brand Blvd., Suite 1900
Glendale, CA 91203

INDIA CENTER

Temple Steps, Block III, 6th Foor, 184-187 Anna Salai, Saidapet Chennai, Tamil Nadu 600015

INDIA CENTER


Temple Steps, Block III, 6th Foor, 184-187 Anna Salai, Saidapet Chennai, Tamil Nadu 600015

Meet your Dopplr™ PRO “Squad” – a dedicated team of solution architects, engineers, analysts, data scientists, developers, and project managers, available 24/7/365 to proactively help you manage your data infrastructure and ensure your analytics pipelines are working in excellent condition.
For More Information On Proof Of Value, Contact Us.