Filter by Topic
Filter by Vendor
Snowflake Data Analyst Training
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
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
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
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
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
Exploring AI & Machine Learning for the Enterprise (TTML5500)
Learn how Artificial Intelligence is being applied in modern business. …
What you'll learn
What AI is and what it isn’t
The different types and sub-fields of AI
The differences between Machine Learning, Expert Systems, and Neural Networks
The latest in applied theory
How AI is used in processing language, images, audio, and the web
The current generation of tools used in the marketplace
What’s next in applied AI for businesses
Veeam Backup & Replication V11: Architecture and Design
Course Description: The two-day, Veeam® Backup & Replication™ v11: Architecture …
What you'll learn
Design and architect a Veeam solution in a real-world environment
Describe best practices, review an existing infrastructure and assess business/project requirements
Identify relevant infrastructure metrics and perform component (storage, CPU, memory) quantity sizing
Provide implementation and testing guidelines in line with designs
Innovatively address design challenges and pain points, matching appropriate Veeam Backup & Replication features with requirements
