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Gartner Data and Analytics

Conference

Orlando, FL

Join us at Gartner Data & Analytics Summit 2019, we’ll help you create the future — a future based on data you can trust, analytics you can rely on, and the insight needed to make game-changing business decisions.

Weekly Live Demo: Azure Databricks

Live Demo

Watch Azure Databricks live in action! This is a great session for those getting started with Azure Databricks and an opportunity for live Q&A with a Databricks Solution Architect. Watch how Azure Databricks tackles the full range of data engineering and data science activities, including data management, transformation, streaming analytics, and machine learning. You will get an introduction to the following product components that make it easy to solve your toughest data problems.

Unified Analytics | Workshop – Unifying Data Pipelines and Machine Learning with Apache Spark™

Regional Event

Denver, CO

In this workshop, we’ll cover best practices for enterprises to use powerful open source technologies to simplify and scale your ML efforts. We’ll discuss how to leverage Apache Spark™, the de-facto data processing and analytics engine in enterprises today, for data preparation as it unifies data at massive scale across various sources. You’ll learn how to use ML frameworks (i.e. Tensorflow, XGBoost, Scikit-Learn, etc.) to train models based on different requirements. And finally, you can learn how to use MLflow to track experiment runs between multiple users within a reproducible environment, and manage the deployment of models to production.

Unified Analytics | Workshop – Unifying Data Pipelines and Machine Learning with Apache Spark™

Regional Event

Miami, FL

In this workshop, we’ll cover best practices for enterprises to use powerful open source technologies to simplify and scale your ML efforts. We’ll discuss how to leverage Apache Spark™, the de-facto data processing and analytics engine in enterprises today, for data preparation as it unifies data at massive scale across various sources. You’ll learn how to use ML frameworks (i.e. Tensorflow, XGBoost, Scikit-Learn, etc.) to train models based on different requirements. And finally, you can learn how to use MLflow to track experiment runs between multiple users within a reproducible environment, and manage the deployment of models to production.

Natural Language Translation and Apache Spark Test Driven Development

Meetup

Singapore

- "Natural Language Translation at Shopee’s Data Science" - the project on tensorflow, pytorch and OpenNMT helps Shopee's cross-border business with automated translation, saving costs that would be incurred by using third-party vendors. Some state-of-the-art Deep Learning models in the current Machine Translation research field. Learn how Shopee data science team implemented it! - "Data Integration using Guzzle and Test Automation" - the resilient, enterprise-grade, YAML-driven ETL framework that Just Analytics is known for wouldn't have existed without Cucumber, daily build and regression testing. Batch, Streaming, Near Real-Time. Jenkins, Docker, Apache Atlas, Kafka, - everything is rigorously scrutinized to ensure the changes are introduced without any disruption to the customer's existing performance and resilience SLA-s.

Weekly Live Demo: Databricks Delta

Live Demo

Databricks Delta is the next-gen unified analytics engine, built on top of Apache Spark™ designed to help you build production robust production data pipelines at scale. Watch how Delta helps you build the next generation of data and have your questions answered in a live Q&A with our experts in this demo!

Unified Analytics | Workshop – Unifying Data Pipelines and Machine Learning with Apache Spark™

Regional Event

Atlanta, GA

In this workshop, we’ll cover best practices for enterprises to use powerful open source technologies to simplify and scale your ML efforts. We’ll discuss how to leverage Apache Spark™, the de-facto data processing and analytics engine in enterprises today, for data preparation as it unifies data at massive scale across various sources. You’ll learn how to use ML frameworks (i.e. Tensorflow, XGBoost, Scikit-Learn, etc.) to train models based on different requirements. And finally, you can learn how to use MLflow to track experiment runs between multiple users within a reproducible environment, and manage the deployment of models to production.

Live Demo: Time Travel with Databricks Delta

Live Demo

Curious to learn more about Time Travel? Join Jim Smith and the Databricks team for a Live Demo dedicated to Time Travel with Databricks Delta, on Wednesday 13th March at 11.00am GMT || 12.00pm CEST. The live demo will cover: Introduction to Databricks Delta, streaming and batch ingestion, Z-ordering and optimisation, managing changes to schemas, detecting fault and repairing data.

Accelerate Innovation with the Databricks Unified Analytics Platform

Webinar

Singapore

Ready to discover how unifying your data science, engineering, and analytics can benefit your company? Attend this webinar for tips on:

  • Accelerating your ETL and scaling data volume
  • Building models and finding patterns in data without waiting on the infrastructure team to provision and configure hardware
  • Simplifying end-to-end data workflows for increased efficiency across your company

Run modern data engineering at scale in the cloud with Databricks and Talend

Webinar

In this 1-hour webinar, we’ll cover the following topics using a real-world fraud detection use case as the model:

  • Learn about modern data engineering using Databricks and Talend
  • How to build automatically scaling smart data pipelines without manual coding
  • Why Databricks and Talend accelerate the time to value with minimal specialized expertise and high performance solutions