Data Science in Azure: End-to-End Data Analytics using Azure Databricks

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Data Science in Azure: End-to-End Data Analytics using Azure Databricks

Duration
59 minutes

Date
January 31, 2019

Presenters
Chandler Stevens
VP- Microsoft BI & Analytics
Jiwon Jeon
Data Scientist- Microsoft BI and Analytics

Short Description
In this webinar recording, we will be introducing the core concepts of Data Science and the resources in Azure to deliver a complete Data Science solution. We will also walk through a demonstration on how best to use Azure Databricks as a data scientist to process enterprise data and build a machine learning model to deploy.

Data science is the study of exploring all available forms of data and employing scientific methods to extract knowledge and derive insights for actionable decision-making. Today, it is often coupled with machine learning and big data architecture to accommodate a massive amount of information and satisfy the complicated business requirements across industries. Microsoft Azure provides a perfect platform to facilitate a unified approach to Data Analytics with scalable modeling capability using Databricks, Machine Learning Service and HDInsight. With other resources available in the Azure ecosystem, Visual BI Solutions presents comprehensive strategies to deal with challenges in Data Science.

In this webinar replay, we will be introducing the core concepts of Data Science and the resources in Azure to deliver a complete Data Science solution. We will also walk through a demonstration on how best to use Azure Databricks as a data scientist to process enterprise data and build a machine learning model to deploy.

Included in the webinar replay are the following topics:

  • The concept of Data Science and the evolvement of advanced analytics
  • Data Science project lifecycle
  • Data Science platform in Microsoft Azure
  • Features and workflow in Azure Databricks
  • Enterprise data processing and modeling demo using Azure Databricks

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