Practical Data Analytics with the Microsoft Cortana Intelligence Suite MPN17035 (December 2016) - Retiring Feb 16, 2018

Learning path description

Keywords

Difficulty Level : Advanced
Product : Cortana
Role : Technical
Country : Global
Meet Your Instructor [0 h 2 m]

Meet your instructor, Buck Woody, who will guide you through this course.

Launch course
Module 1: Business case [0 h 11 m]

Your instructor, Buck Woody, introduces Module 1: Business case. Module 1 includes three lessons: 1) Data science and architecture overview, 2) Cortana Analytics Process, and 3) Business case. Upon completion of Module 1, you will be able to: describe the data science process, describe architecture development basics, and interpret the problem statement for a customer scenario. For reference, download the handout which includes the PowerPoint deck with important speaker notes that Buck uses in his presentations for Module 1.

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Module 2: Microsoft Azure Platform [0 h 24 m]

Your instructor, Buck Woody, introduces Module 2: Microsoft Azure platform. Module 2 includes two lessons: 1) Microsoft Azure platform overview, and 2) When and why to use Azure. Upon completion of Module 2, you will be able to describe the Azure platform, instantiate IaaS VMs, create Azure data store, and describe the basic ingress and egress of data. For reference, download the handout which includes the PowerPoint deck with important speaker notes that Buck uses in his presentations for Module 2.

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Module 3: Cortana Intelligence Suite [0 h 16 m]

Your instructor, Buck Woody, introduces Module 3: Cortana Intelligence Suite. Module 3 includes four lessons: Microsoft Cortana Intelligence Suite, Operationalized Analytic Solutions, Understanding requirements mapping, and Implementing architecture designs. Upon completion of Module 3, you will be able to describe the Cortana Intelligence Suite of products, create a viable design using the suite, and identify which components to leave on-premises versus in-cloud. For reference, download the handout which includes the PowerPoint deck with important speaker notes that Buck uses in his presentations for Module 3.

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Module 4: Solution review [0 h 25 m]

Your instructor, Buck Woody, introduces Module 4: Solution review. Module 4 includes two lessons: Cortana Intelligence Suite Solution-HDInsight, and a Graphical tools tour. Upon completion of Module 4, you will be able to: describe the process of marrying requirements to capabilities, show the solution to a business or technical audience, and use the graphical tools. For reference, download the handout which includes the PowerPoint deck with important speaker notes that Buck uses in his presentations for Module 4.

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Module 5: Data sourcing and identification [1 h 36 m]

Your instructor, Buck Woody, introduces Module 5: Data sourcing and identification. Module 5 includes four lessons: 1) Data sourcing and quality, 2) Azure Data Catalog, 3) Data ingestion and storage, and 4) bridging options. Upon completion of Module 5, you will be able to describe how to vet data sources, use methods for data ingestion into Azure storage, use bridging to leave data on-premises, and use Azure Data Catalog. For reference, download the handout which includes the PowerPoint deck with important speaker notes that Buck uses in his presentations for Module 5.

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Module 6: Loading data to Azure [0 h 37 m]

Your instructor, Buck Woody, introduces Module 6: Loading data to Azure. Module 6 includes seven lessons: 1) Implementing and managing Azure Storage, 2) Azure Storage Portal, 3) Redundancy and location, 4) Creating and managing Azure Storage, 5) Options for data ingestion, 6) Optimizing data loads, and 7) Data security. Upon completion of Module 6, you will be able to implement and manage Azure Storage, describe parallelizing data loads, secure data access, and use the appropriate data storage type. For reference, download the handout which includes the PowerPoint deck with important speaker notes that Buck uses in his presentations for Module 6.

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Module 7: Using the Hadoop ecosystem to process data [0 h 45 m]

Your instructor, Buck Woody, introduces Module 7: Using the Hadoop ecosystem to process data. Module 7 includes nine lessons: 1) Hadoop and HDInsight ecosystem, 2) Hadoop MapReduce, 3) Deploying HDInsight Clusters, 4) Components and customization, 5) Provisioning, 6) Demo: IDInsight Create, 7) Cluster access, 8) Demo: Ambari, and 9) Using Hive to query data. Upon completion of Module 7, you will be able to describe how to use the Hadoop ecosystem using HDinsight and use the Hive query language to parse out relevant data. For reference, download the handout which includes the PowerPoint deck with important speaker notes that Buck uses in his presentations for Module 7.

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Module 8: Deploying and using the solution [0 h 23 m]

Your instructor, Buck Woody, introduces Module 8: Deploying and using the solution. Module 8 includes three lessons: 1) Using your HDInsight solution, 2) Introduction to Power BI, and 3) Visualizing results with Power BI. Upon completion of Module 8, you will be able to use your HDInsight output, use Power BI to examine data, and describe how to leverage code for Cortana. For reference, download the handout which includes the PowerPoint deck with important speaker notes that Buck uses in his presentations for Module 8.

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