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Introduction to Apache Spark Essentials (TTSK7502)
What you'll learn
The essentials of Spark architecture and applications
How to execute Spark Programs
How to create and manipulate both RDDs (Resilient Distributed Datasets) and UDFs (Unified Data Frames)
How Spark core components come together for complete applications
Tableau Desktop Level 1: Introduction for Experienced IT Professionals
What you'll learn
Find out how to build effective visualizations and dashboards
Prepare and clean your data so you can be sure Tableau Desktop is finding answers to your questions – not raising more problems
Discover how to create advanced visualizations that explain complexity with clarity and style
Learn how to use data storytelling to aid decision-making and strategy
Share dashboards and visualizations to cultivate a culture where data is available and valued
Tableau Desktop Level 1: Introduction for Novice Users
What you'll learn
Find out how to build effective visualizations and dashboards
Prepare and clean your data so you can be sure Tableau Desktop is finding answers to your questions – not raising more problems
Discover how to create advanced visualizations that explain complexity with clarity and style
Learn how to use data storytelling to aid decision-making and strategy
Share dashboards and visualizations to cultivate a culture where data is available and valued
Working with Apache Kafka
What you'll learn
Overview of Streaming technologies
Kafka concepts and architecture
Programming using Kafka API
Kafka Streams
Monitoring Kafka
Tuning/Troubleshooting Kafka
Developing with Spark for Big Data (TTSK7505)
What you'll learn
The essentials of Spark architecture and applications
How to execute Spark Programs
How to create and manipulate both RDDs (Resilient Distributed Datasets) and UDFs (Unified Data Frames)
How to persist and restore data frames
Essential NOSQL access
How to integrate machine learning into Spark applications
How to use Spark Streaming and Kafka to create streaming applications
Intermediate
55164-A: Quick Powerful Graphics with Power View, PowerPivot, Power Query, Power Map and Power BI
$1,590.00
55164-A: Quick Powerful Graphics with Power View, PowerPivot, Power Query, Power Map and Power BI
What you'll learn
Navigate the Power View interface.
Utilize Power View reports.
Work with tables.
Understand aggregations.
Utilize matrix.
Configure drill through.
Use cards as a visualization.
Apply filters.
Create charts.
Utilize tiles.
Add slicers to reports.
Utilize themes.
Navigate the PowerPivot interface.
Examine and configure relationships.
Configure calculated columns are calculated fields.
Create PivotTables.
Understand and utilize DAX.
Work with hierarchies.
Manage perspectives.
Navigate the Power Query interface.
Merge datasets.
Manage modifications.
Perform data cleaning.
Navigate the Power Map interface.
Use Bing maps.
Examine map data.
Configure tours, scenes, and layers.
Add time to a presentation.
Navigate the Power BI interface.
Utilize data sources.
Understand querying with natural language.
Successfully log into their virtual machine.
Have a full understanding of what the course intends to cover.
Apache Spark for Data Scientists
What you'll learn
The essentials of Spark architecture and applications
How to execute Spark Programs
How to create and manipulate both RDDs (Resilient Distributed Datasets) and UDFs (Unified Data Frames)
How to integrate machine learning into Spark applications
How to use Spark Streaming
Intermediate
55049-A: PowerPivot, Power View and SharePoint 2013 Business Intelligence Center for Analysts
$1,195.00
55049-A: PowerPivot, Power View and SharePoint 2013 Business Intelligence Center for Analysts
What you'll learn
Successfully log into their virtual machine.
Use PowerPivot 2013 in Excel.
Work with DAX.
Create Power View visualizations.
Understand data models.
Save to SharePoint.
Surface on SharePoint.
Work with the SharePoint Business Intelligence Center.
Create dedicated apps in SharePoint for PowerPivot and Power View.
Use PowerPivot within Excel to import a table from SQL Server.
Use PowerPivot within Excel to import a table from SQL Server Analysis Services.
Hide columns they don’t want reflected in the resulting PivotTable.
View the relationships existing within the imported tables from SQL Server and then import an additional table and configure a relationship between it and the existing.
Create a PivotTable within an existing worksheet.
Navigate and successfully use Power View.
Create a table.
Create a chart.
Save and share their work.
Create a BI semantic model.
Explore the options and settings available within the new SharePoint 2013 Central Administration and Excel Services.
Access and review the Secure Store.
Create a new web application and business intelligence site while exploring the features of both.
Create custom apps to store visualizations and/or workbooks in SharePoint 2013 Business Intelligence Center.
Trending
Big Data Fundamentals
What you'll learn
Navigate the technology stacks and tools used to work with big data
Establish a common vocabulary on your teams for applying big data practices
Get an overview of how big data technologies work: Apache Hadoop, Spark, Pig, Hive, Sqoop, OOZIE, and FLUME
Design both functional and non-functional requirements for working with big data
Understand common business cases for big data
Differentiate between hype and what’s truly possible
Look at examples of real-world big data use cases
Select initiatives and projects that have high potential to benefit from big data applications
Understand what type of staffing, technical skills, and training is required for projects that incorporate or focus on big data
-35%
Introduction to Hadoop Administration (TTDS6503)
What you'll learn
Understand the benefits of distributed computing
Understand the Hadoop architecture (including HDFS and MapReduce)
Define administrator participation in Big Data projects
Plan, implement, and maintain Hadoop clusters
Deploy and maintain additional Big Data tools (Pig, Hive, Flume, etc.)
Plan, deploy and maintain HBase on a Hadoop cluster
Monitor and maintain hundreds of servers
Pinpoint performance bottlenecks and fix them
Introduction to Apache Spark Essentials (TTSK7502)
What you'll learn
The essentials of Spark architecture and applications
How to execute Spark Programs
How to create and manipulate both RDDs (Resilient Distributed Datasets) and UDFs (Unified Data Frames)
How Spark core components come together for complete applications
Tableau Desktop Level 1: Introduction for Experienced IT Professionals
What you'll learn
Find out how to build effective visualizations and dashboards
Prepare and clean your data so you can be sure Tableau Desktop is finding answers to your questions – not raising more problems
Discover how to create advanced visualizations that explain complexity with clarity and style
Learn how to use data storytelling to aid decision-making and strategy
Share dashboards and visualizations to cultivate a culture where data is available and valued
Tableau Desktop Level 1: Introduction for Novice Users
What you'll learn
Find out how to build effective visualizations and dashboards
Prepare and clean your data so you can be sure Tableau Desktop is finding answers to your questions – not raising more problems
Discover how to create advanced visualizations that explain complexity with clarity and style
Learn how to use data storytelling to aid decision-making and strategy
Share dashboards and visualizations to cultivate a culture where data is available and valued
Working with Apache Kafka
What you'll learn
Overview of Streaming technologies
Kafka concepts and architecture
Programming using Kafka API
Kafka Streams
Monitoring Kafka
Tuning/Troubleshooting Kafka
Developing with Spark for Big Data (TTSK7505)
What you'll learn
The essentials of Spark architecture and applications
How to execute Spark Programs
How to create and manipulate both RDDs (Resilient Distributed Datasets) and UDFs (Unified Data Frames)
How to persist and restore data frames
Essential NOSQL access
How to integrate machine learning into Spark applications
How to use Spark Streaming and Kafka to create streaming applications
Featured Courses
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CompTIA Data+
Course Description As the importance of data analytics grows, more …
CompTIA Data+
What you'll learn
CompTIA Data+ gives you the confidence to bring data analysis to life
Analyzing complex datasets while adhering to governance and quality standards throughout the entire data life cycle
Mining data
Manipulating data
Visualizing and reporting data
Applying basic statistical methods
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- visualize critical information
- discover new patterns and trends
- mine and integrate data from disparate sources
- optimize data models
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Featured
CompTIA Data+
Course Description As the importance of data analytics grows, more …
What you'll learn
CompTIA Data+ gives you the confidence to bring data analysis to life
Analyzing complex datasets while adhering to governance and quality standards throughout the entire data life cycle
Mining data
Manipulating data
Visualizing and reporting data
Applying basic statistical methods
