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Snowflake Data Analyst Training

29 Lessons
16 hours
Intermediate

Course Description This 2-day role specific course covers how to …

What you'll learn
Overview of Snowflake key features & architecture
Perform advanced and high-performing data analytic tasks
Load and work with new datasets
Review key SQL extensibility features
Query and inspect data using SQL core constructs
Employ best practices for working with semi-structured data
Discuss query caching performance capabilities
Visualizing data outside of Snowflake

Snowflake Data Science Training

44 Lessons
24 hours
Intermediate

Course Description This 3-day class is ideal for Snowflake users …

What you'll learn
Collect and access data from Snowflake Data Marketplace and other sources
Manage and architect data lakes and real time streams
Employ Snowflake best practices for developing or querying semi-structured and other data types
Work with supervised and unsupervised machine learning models using some of the most relevant open source framework and libraries
Formulate data science and machine learning workflow and data pipelines
Manage and deploy machine learning models at scale with APIs
Visualize and collaborate on machine learning results

Snowflake Advanced Training

24 hours
Intermediate

Course Description This 3-day course covers advanced Data Movement, Performance, …

What you'll learn
Evaluate Snowflakes advanced architectural concepts
Employ strategies and best practices for agile development
Discuss Snowflakes various ingestions methods for streaming data
Develop a methodology for performance tuning
Design a comprehensive program for ensuring user, network & data security
Share data in or outside of your organization securely

Snowflake Fundamentals 4-Day

61 Lessons
32 hours
Intermediate

Course Description This 4-day course covers the fundamental concepts, design …

What you'll learn
Illustrate the unique and differentiated architecture of the Snowflake Cloud Data Platform
Load and transform data
Evaluate Query Constructs and DDL & DML Operations
Review Snowflakes broad SQL support for data analysis
Describe how user and application access can be easily managed
Demonstrate best practices for working with semi-structured data
Discuss how Snowflake provides a unique approach to caching Examine the various ways to connect and interact with the Snowflake Platform
Employ Snowflake’s method for continuous data protection
Utilize Data Sharing to send your data in real-time to Customers and Partners
Scale your Virtual Warehouse for performance and concurrency
Explain the different ways you can manage and monitor your Snowflake account

Splunk Boot Camp

39 Lessons
16 hours
Intermediate

Course Description Learn how to use Splunk for monitoring, searching, …

What you'll learn
Splunk essentials
Indexing in Splunk
Splunk architecture and components
Query and search your data
How to create dashboards and visualizations
How to apply alerts

Enterprise Scala with Spark

43 Lessons
40 hours
Intermediate

Course Description Learn about Scala and enterprise integration in a …

What you'll learn
Essential Scala programming, leveraging your existing OO development experience
How to write essential Spark programs and perform exploratory data analysis in Scala and the Spark shell
Work with Spark Core
Work with NoSQL
How to write programs for Spark Streaming in Scala

Apache Spark for Data Scientists

40 Lessons
24 hours
Intermediate

Course Description Learn Spark skills from a data science perspective …

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

Developing with Spark for Big Data (TTSK7505)

73 Lessons
40 hours
Intermediate

Course Description Learn advanced Big Data and Spark skills to …

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
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