HPE Learn On-Demand
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[separator] See the latest courses across all categories - enroll for free!
[separator] See the latest courses across all categories - enroll for free!
Check out our newest courses here. Learn about innovations in software development tools and topics, or click into the catalogs below to explore deeper dives into technologies and use cases.
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What is Generative AI?
What is Generative AI?
Learn the main concepts behind generative AI, how these technologies work, and explore some important business considerations and risks.
31 min
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How Large Language Models (LLMs) Work
How Large Language Models (LLMs) Work
Using a real-world example with ChatGPT, learn how LLMs get trained and how gen AI technology works.
16 min
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Managing AI Security Risks
Managing AI Security Risks
Learn the most common vulnerabilities and points of attack in AI and LLMs, along with general best practices for cybersecurity. Get tips to prevent hacking and security breaches.
28 min
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[separator] Browse HPE Learn On-Demand course catalogs
[separator] Browse HPE Learn On-Demand course catalogs
Find intro-level to deep-dive interactive courses on OSS, HPE Ezmeral Data Fabric components and features; artificial intelligence and ML; topics in data security, unified analytics tools like Apache Spark and NiFi; and more. Explore now.
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Developer Tools & Open Source
Developer Tools & Open Source
Intro courses on K8S, NiFi, HPE Unified Analytics, edge computing, Apache Spark, Delta Lake, ACID transactions, Presto SQL, and more
16 courses
Artificial Intelligence
Artificial Intelligence
Get an intro to AI, learn about Large Language Models (LLMs) and Generative AI, and take courses on machine learning. Covers current issues and common use cases in AI
10 courses
HPE Software
HPE Software
Learn the core features and functions of HPE Data Fabric, Unified Analytics, Database. Get the basics on cluster admin & tuning, technical deep dives, competitive differentiators
14 courses
Data Security
Data Security
Learn about managing AI data security risks, zero trust, SPIFFE-SPIRE, HPE Ezmeral Data Fabric security, and open source solutions for data security issues
4 courses
[separator] Apache Spark
[separator] Apache Spark
Courses on Apache Spark 3 and 2.1: key features, primary Spark components and ibraries; key differences between Apache Spark Datasets and DataFrames; applying transformations on datasets, using caching to improve system performance, Spark UDFs, and repartitioning datasets.
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Application Containers and Kubernetes
Application Containers and Kubernetes
Wondered about containers and K8S? Learn how they let you orchestrate apps and resources to improve the efficiency of the software development pipeline.
30 min
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[separator] HPE Ezmeral Data Fabric Tables and Event Streams
[separator] HPE Ezmeral Data Fabric Tables and Event Streams
Courses cover evolution of database types, from RDBMS to NoSQL databases like Apache HBase, and Data Fabric tables with OJAI. Event Streams courses cover message streaming, applying security and retention policies, replicating data between multiple clusters, and info on producers-consumers, topics, cursors, and partitions.
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Data Fabric Services Layout
Data Fabric Services Layout
This course covers service types and layouts, and provides a node preparation installation checklist.
23 min
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Exploring Data with Apache Drill
Exploring Data with Apache Drill
Course covers information on using Drill to create and drop new tables and creating temporary tables for use with recurring queries. Basic Drill commands used to explore unknown data are also reviewed.
21 min
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Apache Spark 3 on Kubernetes
Apache Spark 3 on Kubernetes
Apache Spark 3 on Kubernetes improves workflow through efficient resource management, time and cost savings, simplified administration, and more.
25 min
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Operations, Caching & UDFs in Apache Spark
Operations, Caching & UDFs in Apache Spark
Take advantage of step-by-step process overviews of applying transformations on datasets, caching to improve system performance, and UDFs.
21 min
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[separator] Apache Drill
[separator] Apache Drill
Learn the basics of data analysis with Apache Drill in this 3-course series, covering various methods to query structured table data, dynamic and complex data, and data files.
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Apache Drill Fundamentals
Apache Drill Fundamentals
Apache Drill Fundamentals starts with an overview of Drill use cases, goes over the variety of data sources that Drill can explore, then covers data query best practices.
26 min
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[separator] Edge to cloud hybrid data
[separator] Edge to cloud hybrid data
This 3-course series covers today's hybrid, edge-to-cloud IT environments. You'll learn about data at the edge, and communication between edge, on-prem, and cloud environments. Covers data collection, security, vendor cloud lock-in, data silos, and common technical challenges
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Apache Spark 2.1 Fundamentals
Apache Spark 2.1 Fundamentals
Learn the key features of Apache Spark 2.1, where it fits in the open-source ecosystem, and the main Spark components and libraries.
14 min
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Cloud Deployment with HPE Ezmeral Data Fabric
Cloud Deployment with HPE Ezmeral Data Fabric
Learn the basics of cloud computing and data transformation with HPE Ezmeral Data Fabric. Discusses cloud lock-in, data silos, and what to watch out for.
35 min
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Data at the Edge & Edge Computing
Data at the Edge & Edge Computing
Learn about data at the edge, edge computing, and communication between edge, on-prem, and cloud environments. Covers data collection, performance and security, efficiency, and next-gen ML model training.
38 min
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Delta Lake Essentials
Delta Lake Essentials
Covers Delta Lake features, performance, and reliability via ACID transactions. Discusses Apache Spark or standalone deployment, memory use, data partitioning strategies, the Delta Transaction Protocol, and more
47 min
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Apache Spark 3 Essentials
Apache Spark 3 Essentials
Apache Spark 3 puts innovation in the hands of developers w/ Pandas UDFs, join optimizer hints, dynamic partition pruning, GPU-aware scheduler, and more
24 min
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SQL Analytics with Apache Drill
SQL Analytics with Apache Drill
Learn the various methods to query structured table data, dynamic and complex data, and data files, then review how to perform complex queries.
25 min
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Intro to SPIFFE & SPIRE
Intro to SPIFFE & SPIRE
Covers basics of Network Access Control and Identity, how SPIFFE solves workload identity problems, and details on SPIRE multi-factor attestation.
52 min
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What are Mirrors?
What are Mirrors?
Learn how mirrors work in a Data Fabric cluster, including local and remote mirrors, and how to set up mirrors to support disaster recovery.
23 min
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Pub-Sub Messaging in Event Streams
Pub-Sub Messaging in Event Streams
Deeper dive into how producers-consumers work, covering streams replication, topics, cursors, and partitions.
24 min
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Data Fabric Event Streams Essentials
Data Fabric Event Streams Essentials
Get faster analytics with pub-sub message streaming. Apply security and retention policies to all streams; replicate data between multiple clusters, providing fault-tolerance.
22 min
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Apache NiFi and the ETL Pipeline
Apache NiFi and the ETL Pipeline
Learn how ETL pipelines work, the differences between ETL and ELT, key features of Apache NiFi, and how NiFi functions in the HPE Ezmeral Data Fabric.
38 min
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HPE Ezmeral Data Fabric Tables
HPE Ezmeral Data Fabric Tables
Learn about the HPE Ezmeral Data Fabric and Data Fabric Tables with OJAI.
14 min
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Database Evolution
Database Evolution
Explore the evolution of database types, from traditional RDBMS, to NoSQL databases like Apache HBase, to the HPE Ezmeral Data Fabric with Data Fabric Tables.
14 min
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3Vs of Data in a Hybrid Cloud World
3Vs of Data in a Hybrid Cloud World
NEW - Learn about the 3Vs of data, traditional data to distributed data models, the technical challenges of moving from infrastructure-centric to a data-first focus, and the features and benefits of hybrid cloud.
21 min
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[separator] HPE Ezmeral Data Fabric volumes, snapshots, and mirrors
[separator] HPE Ezmeral Data Fabric volumes, snapshots, and mirrors
3-course series on volume properties, volume replication patterns, security, and volume topologies; basic snapshot architecture and configuration; and setting up local and remote mirrors to support disaster recovery.
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[separator] Open source SW - developer essentials
[separator] Open source SW - developer essentials
Start here to take a short course covering software technology topics you need to know. New courses on open source topics add often, check back.
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Alarms and Maintenance 101
Alarms and Maintenance 101
Monitor and manage an HPE Ezmeral Data Fabric cluster, learn about alarm severities and responses, and set up a maintenance task schedule.
12 min
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HPE Ezmeral Unified Analytics Software
HPE Ezmeral Unified Analytics Software
See why unified data and analytics brings faster time-to-value in business. Course covers the four main types of analytics and use their cases, then details HPE Ezmeral Unified Analytics Software contents and features, including open source tools.
15 min
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[separator] HPE Ezmeral Data Fabric Admin
[separator] HPE Ezmeral Data Fabric Admin
Courses cover Data Fabric service types and layouts, prepping nodes, post-install cluster health checks, and cluster structures. Get an overview of managing - configuring users, groups, quotas, and volume permissions, followed by the basics of cluster monitoring, alarms, and associated maintenance.
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Emerging Threats & Zero Trust Architecture
Emerging Threats & Zero Trust Architecture
Learn about emerging threats to data security operations, security use cases, and why zero trust architecture is critical to securing the enterprise.
28 min
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Distributed SQL Analytics with Presto
Distributed SQL Analytics with Presto
Learn how Presto enables data to be queried where it lives, eliminating costly data movement and increasing execution speed
39 min
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DataFrames, Datasets, and Schema in Apache Spark
DataFrames, Datasets, and Schema in Apache Spark
Learn key differences between Apache Spark Datasets and DataFrames, along with details on data sources, structures, and schemas.
24 min
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Open Source Tools and HPE Ezmeral Software
Open Source Tools and HPE Ezmeral Software
Covers HPE Ezmeral Software and open source projects, with an overview of common ecosystem tools from the Apache Software Foundation and Linux Foundation.
23 min
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HPE Ezmeral Data Fabric Fundamentals
HPE Ezmeral Data Fabric Fundamentals
Core architecture and components, how the Data Fabric contrasts to Apache HDFS, and an intro to storage pools, containers, volumes, CLDB, mirrors, snapshots, and NFS.
49 min
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What are Snapshots?
What are Snapshots?
What snapshots are, basic snapshot architecture, and how to configure, use, and maintain snapshots in a Data Fabric cluster - key information for safeguarding and maintaining a Data Fabric cluster.
20 min
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What are Volumes?
What are Volumes?
Knowing more about HPE Ezmeral Data Fabric volume properties, volume replication patterns, security, and volume topologies will help you design and implement the right volume plan for your organization.
35 min
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Data Fabric Configuration Basics
Data Fabric Configuration Basics
Covers the basics of managing and configuring users, groups, quotas, and volume permissions in an HPE Ezmeral Data Fabric.
19 min
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Cluster Health Check
Cluster Health Check
See how to perform post-installation cluster health checks with the MCS, run benchmark tests, then explore the cluster file system structure.
11 min
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Securing the HPE Ezmeral Data Fabric
Securing the HPE Ezmeral Data Fabric
Covers the basics of securing the Ezmeral Data Fabric cluster, with details on auditing, encryption, and built-in security options.
37 min
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Machine Learning Pipeline: Implement
Machine Learning Pipeline: Implement
Get familiar with the second phase of the machine learning workflow process: implementation, and the importance of on-going project monitoring.
16 min
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Machine Learning Project Success Planning
Machine Learning Project Success Planning
Only ~20% of ML projects make it into production. Learn how prepare, plan, and execute a well-defined strategy to implement ML projects and maximize business results.
12 min
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Deep Learning and Neural Networks
Deep Learning and Neural Networks
Learn basic concepts behind Deep Learning and Artificial Neural Networks (ANNs), including key functions and process flow.
20 min
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Machine Learning Pipeline: Prepare
Machine Learning Pipeline: Prepare
Learn a repeatable process of six steps to follow for any machine learning workflow. Covered here is the preparation phase of the machine learning workflow.
29 min
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Intro to Artificial Intelligence and Machine Learning
Intro to Artificial Intelligence and Machine Learning
Covers the evolution of data science, basic concepts of AI, ML, and DL and how they differ from each other, followed by a brief history of AI and how deep learning came to be.
12 min
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Types of Machine Learning
Types of Machine Learning
Covers the different methods used in machine learning, with a review of supervised, unsupervised, and semi-supervised learning types.
13 min
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Key Functions of a Deep Neural Network
Key Functions of a Deep Neural Network
Take a deep dive into the inner workings of a Deep Neural Network (DNN), including key functions and the overall process flow of forward and backward passes.
22 min
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[separator] Machine Learning
[separator] Machine Learning
Course series covering the basics of how machine learning works. Learn the key steps to machine learning project development and success.
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Machine Learning Bias and Model Optimization
Machine Learning Bias and Model Optimization
Learn about the impact of model bias with under/overfit models, regularization techniques, and how to optimize your models and minimize error.
17 min
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Introduction to SASE
Introduction to SASE
This course on secure access service edge, or SASE, covers the principles and components of SASE, details how SASE improves IT dynamics and digital experience monitoring, then offers implementation tips.
19 min
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