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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
Splunk Boot Camp
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
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
Working with Apache Kafka
Course Description Learn to use Kafka as your real-time data …
What you'll learn
Overview of Streaming technologies
Kafka concepts and architecture
Programming using Kafka API
Kafka Streams
Monitoring Kafka
Tuning/Troubleshooting Kafka
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 Apache Spark Essentials (TTSK7502)
Course Description Learn the essentials of using Spark for your …
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
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
Big Data Fundamentals
Learn the benefits of big data and the underlying technologies, …
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
Implementing Big Data & AI for Business Professionals (TTML5501)
AI in Business Seminar Series: Explore How AI & Machine …
What you'll learn
Learn which data is most useful to collect now and why it’s important to start collecting that data as soon as possible
Understand the intersection between big data, data science and AI (Machine Learning / Deep Learning) and how they can help you reach your business goals and gain a competitive advantage.
Understand the factors that go into choosing a Data Science system, including whether to go with a cloud-based solution
Explore common tools and technologies to aid in making informed decisions
Gain the skills required to build your DS/ AI team
