Key Sessions for AWS Customers at Data + AI Summit Europe 2020
Databricks and Summit Gold Sponsor AWS Present on a wide variety of topics at this year’s premier data and AI event. Amazon Web Services (AWS) is sponsoring Data + AI Summit Europe 2020 and our work with AWS continues to make Databricks better integrated with other AWS services, making it easier for our customers to...
How to Train XGBoost With Spark
XGBoost is currently one of the most popular machine learning libraries and distributed training is becoming more frequently required to accommodate the rapidly increasing size of datasets. To utilize distributed training on a Spark cluster, the XGBoost4J-Spark package can be used in Scala pipelines but presents issues with Python pipelines. This article will go over...
Fatal Force: Exploring Police Shootings With SQL Analytics
Introduction Data has shown that police in the United States kill civilians at a rate far higher than police in other wealthy countries.1 In 2019, law enforcement in the U.S. killed 33.5 civilians per 10 million people, compared to 1.3 in Germany and 0.5 in the U.K.2 This use of deadly force falls disproportionately on...
How to Evaluate Data Pipelines for Cost to Performance
Learn best practices for designing and evaluating cost-to-performance benchmarks from Germany’s #1 weather portal. While we certainly conduct several benchmarks, we know the best benchmark is your queries running on your data. But what are you benchmarking against in your evaluation? The answer seems obvious - cost and integration with your cloud architecture roadmap. We...
MLflow 1.12 Features Extended PyTorch Integration
MLflow 1.12 features include extended PyTorch integration, SHAP model explainability, autologging MLflow entities for supported model flavors, and a number of UI and document improvements. Now available on PyPI and the docs online, you can install this new release with pip install mlflow==1.12.0 as described in the MLflow quickstart guide. In this blog, we briefly...
Data Teams Unite! Countdown to Data + AI Summit Europe
Data + AI Summit 2020 Europe takes place virtually in just a few days,from 17-19 November - and it’s free to attend! Formerly known as Spark + AI Summit, Data + AI Summit will bring together thousands of data teams to learn from practitioners, leaders, innovators and the original creators of Spark, Delta Lake, MLflow...
Announcing the Launch of SQL Analytics
Today, we announced the new SQL Analytics service to provide Databricks customers with a first-class experience for performing BI and SQL workloads directly on the data lake. This launch brings to life a new experience within Databricks that data analysts and data engineers are going to love. The service provides a dedicated SQL-native workspace, built-in...
Analytics on the Data Lake With Tableau and the Lakehouse Architecture
Over the past two years we’ve seen a number of organizations moving their data work to the cloud. It simplifies access and scales to handle the biggest volumes. At Tableau, we’re all about customer choice and flexibility, and we’ve enabled our customers to move to the cloud faster than ever. Analytics and data science/machine learning...
Leveraging ESG Data to Operationalize Sustainability
The benefits of Environmental, Social and Governance (ESG) are well understood across the financial services industry. In our previous blog post, we demonstrated how asset managers can leverage data and AI to better optimize their portfolios and identify organizations that not only look good from an ESG perspective, but also do good — companies that...
Media and Entertainment Agenda for Data + AI Summit Europe 2020
Looking for the best Media and Entertainment (M&E) events and sessions at Data + AI Summit Europe 2020 (Nov 17-19) ? Below are some highlights. You can also find all M&E-related sessions, including customer case studies and extensive how-tos, within the event homepage by selecting “Media and Entertainment” from the “Industry” dropdown menu. You can...
