Install a Data Fabric Cluster (v6) - ADM 200
Install a Data Fabric Cluster (v6) - ADM 200
Learn how to install a Data Fabric cluster: prepare nodes, run a pre-installation audit, install the cluster, verifying installation, run post-installation benchmark testing
Not currently available
Cluster Administration
Store and Protect Cluster Data (v6) - ADM 201
Store and Protect Cluster Data (v6) - ADM 201
Learn how to design and implement a volume plan; snapshots for protection against user or application errors, and mirror volumes for load balancing, backup, or disaster recovery.
Not currently available
Cluster Administration
Configure a Data Fabric Cluster (v6) - ADM 202
Configure a Data Fabric Cluster (v6) - ADM 202
Set up global configuration parameters and configure client access, use Access Control Expressions (ACEs), and configure Virtual IP Addresses (VIPs)
Not currently available
Cluster Administration
Data Fabric Cluster Maintenance (v6) - ADM 203
Data Fabric Cluster Maintenance (v6) - ADM 203
Covers how to maintain and troubleshoot an installed cluster,using monitoring to build custom dashboards, configure alerts and respond to various cluster alarms
Not currently available
Cluster Administration
Working with YARN (v6) - ADM 204
Working with YARN (v6) - ADM 204
Install YARN services and learn about YARN job execution, logging options, and ways to allocate resources to YARN. Select the right YARN job schedulers and how to control job placement.
Not currently available
Cluster Administration
Query and Store Data with Apache Hive
Query and Store Data with Apache Hive
Review of SQL-on-Hadoop tools. Learn to create, load, query, and manipulate tables, and use Hive Query Language to query structured data without writing MapReduce code.
Not currently available
Data Analysis
Transform Data with Apache Pig
Transform Data with Apache Pig
Use Pig to analyze structured data without writing MapReduce code. Covers data pipeline tools, how to load, and manipulate relations and use UDFs in relations.
Not currently available
Introduction to Big Data
Introduction to Big Data
Learn the history and fundamentals of traditional data models, and the transition to big data model concepts, tools and roles
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Intros to Big Data
Apache Hadoop Essentials
Apache Hadoop Essentials
Intro to the Hadoop Distributed File System and MapReduce, open source ecosystem tools such as Apache Spark, Apache Drill, and Apache Pig, and an overview of some real-world use cases.
Not currently available
Intros to Big Data
HPE Data Fabric Essentials
HPE Data Fabric Essentials
Covers basics of the HPE Data Fabric: core components, features, benefits, and real-world use cases, showing how businesses use the Data Fabric to accelerate digital transformation.
Not currently available
Intros to Big Data
Introduction to SQL Analytics with Apache Drill
Introduction to SQL Analytics with Apache Drill
Intro to Apache Drill, covering some Drill SQL interfaces, queries, use cases, and the basics of data analysis. Use Drill to explore known or unknown data without writing code.
Not currently available
Data Analysis
Apache Drill Performance and Debugging
Apache Drill Performance and Debugging
Use SQL queries on a variety of data types, including structured data in a Hive table, semi-structured data in HBase or Data Fabric-DB, and complex data file types such as Parquet and JSON.
Not currently available
Data Analysis
HPE Data Fabric Database Essentials
HPE Data Fabric Database Essentials
Evolution of database types, from the traditional RDBMS to NoSQL databases like Apache HBase, and now to the HPE Data Fabric Database with OJAI
Not currently available
Intros to Big Data
Introduction to HPE Data Fabric Database - DEV 330
Introduction to HPE Data Fabric Database - DEV 330
Learn to install, design, and build an HPE Data Fabric database then write applications to process and analyze data
Not currently available
Developer Tools
Introduction to Apache Spark
Introduction to Apache Spark
Learn the benefits of using Spark 2.1 for developing streaming applications
Not currently available
Developer Tools
Build and Monitor Apache Spark Applications
Build and Monitor Apache Spark Applications
Learn to build standalone Spark applications, components of Spark execution model, use the Spark Web UI
Not currently available
Developer Tools
Design and Build a Data Fabric Database - DEV 331
Design and Build a Data Fabric Database - DEV 331
Learn to design the schema and row keys, work with complex schema, import data, replicate tables, and perform an ETL operation
Not currently available
Developer Tools
Secure a Data Fabric Cluster
Secure a Data Fabric Cluster
Info on securing data on a Data Fabric cluster, covering the four pillars of security; authentication, authorization, auditing, and encryption.
Not currently available
Intros to Big Data
Develop Applications with HPE Data Fabric Database - DEV 332
Develop Applications with HPE Data Fabric Database - DEV 332
Control user access to the database, and learn to query and filter data using primary and secondary indexes with Apache Drill.
Not currently available
Developer Tools
Introduction to Artificial Intelligence and Machine Learning
Introduction to Artificial Intelligence and Machine Learning
Learn the basic concepts of AI and ML, how learning algorithms work, and how AI and ML fit in the data science ecosystem.
Not currently available
Application Containers and Kubernetes
Application Containers and Kubernetes
Learn how you can provide persistent storage for stateless containers running in Kubernetes so you can orchestrate containerized applications and resources across a global landscape
Not currently available
Kubernetes & Containers
Enterprise Data in the Cloud
Enterprise Data in the Cloud
Learn how the HPE Data Fabric improves your cloud strategy with enhanced features, functionality, and cost savings.
Not currently available
Intros to Big Data
Advanced Apache Spark
Advanced Apache Spark
Build data pipeline applications using Spark Streaming, Spark SQL, Spark GraphFrame, and MLlib
Not currently available
Developer Tools
Build Machine Learning Projects
Build Machine Learning Projects
Only an estimated 20% of ML projects make it into production. Learn how to use a repeatable process of six steps for any machine learning workflow.
Not currently available