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Snowflake Advanced Training
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
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
Enterprise Scala with Spark
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
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)
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
Hadoop Developer Foundations
Course Description New – Learn about the Hadoop ecosystem and …
What you'll learn
Introduction to Hadoop
HDFS
YARN
Data Ingestion
HBase
Oozie
Working with Hive
Hive advanced
Hive in Cloudera/Hortonworks Distribution (or tools of choice)
Working with Spark
Spark Basics
Spark Shell
RDDs
Spark Dataframes and Datasets
Spark SQL
Spark API programming
Spark and Hadoop
Machine Learning (ML/MLlib)
GraphX
Spark Streaming
Introduction to Hadoop Administration (TTDS6503)
Course Description Learn how to install, maintain, monitor, troubleshoot, optimize, …
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
Machine Learning Essentials with Python (TTML5506-P)
Learn how Artificial Intelligence is being applied in modern business. …
What you'll learn
Popular machine learning algorithms, their applicability and limitations
Practical application of these methods in a machine learning environment
Practical algorithm use cases and limitations
