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In order to succeed, organizations today need to harness the power of data science, machine learning, and business analytics. But how do you measure success? Businesses have already invested billions in data and AI but most haven’t seen a payoff. Yet. In this new Forrester Total Economic Impact™ study, you’ll learn how deploying Databricks’ Unified ...
In this session of our training series, we’ll show you how you can use MLlib with Azure Databricks to train your own models, run replicable experiments, and deploy into production with fewer failing jobs to accelerate your organization’s data science efforts. During this session we will cover Estimators, Transformers and ML Pipelines How to train ...
In this session of our Azure Databricks Training series, we’ll teach you how to connect directly to data sources like TCP/IP sockets and the Kafka messaging system, transform and output data, and finally create compelling continuously-updated visualizations to drive greater impact for your teams. During this session we will cover Connecting to TCIP and Kafka ...
In this session, we’ll teach you how to build your own Azure Databricks ETL pipeline, starting with ingestion, moving through transformation, and loading your data into a SQL Data Warehouse. Learn about how easy it is to use Azure Databricks and how you can run workloads up to 10-100x faster than non-Databricks platforms. During this ...
Successfully building and deploying a machine-learning model can be difficult to do once. Enabling other data scientists (or yourself) to reproduce your pipeline, compare the results of different versions, track what’s running where, and redeploy and rollback updated models, is much harder. We’ll explore in greater depth what makes the ML lifecycle so challenging compared ...
If you are a developer or data scientist interested in big data and AI, then Apache Spark is the tool for you. Sparks ability to speed up analytic applications, its versatility, and ease of use have made it the most active open source project with the big data community. With rapid enterprise adoption across multiple ...
If you are a developer or data scientist interested in big data and AI, then Apache Spark™ is the tool for you. Spark’s ability to speed up analytic applications, its versatility, and ease of use have made it the most active open source project with the big data community. With rapid enterprise adoption across multiple ...