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Expert Content Infrastructure Track

HCE-5400Hitachi Content Solutions Implementation

Build implementation-level expertise across Hitachi Content Platform (HCP) architecture, design, deployment, integration, and management — from RAIN/SAIN topologies and Geo-distributed Erasure Coding to REST APIs, compliance modes, and metadata query-engine search.

HCPObject StorageRAIN/SAINCloud ScaleGeo-Distributed ECHCMCompliance ModeEnterprise ModeREST APIMetadata QueryHCP Anywhere
Certification Overview

From HCP Architecture to Cloud-Scale Content Management

HCE-5400 focuses on planning and implementing Hitachi Content Platform (HCP) environments — the enterprise object storage platform for unstructured data management, compliance, and cloud connectivity. The learning path connects content architecture design (RAIN vs SAIN, protection levels), protocol design, high-availability features, and cloud-scale deployment into one practical implementation workflow.

The result is a rounded content-storage skill set: understanding how HCP architecture decisions, compliance and enterprise modes, replication topologies, and REST/metadata APIs connect to real-world implementation and management scenarios.

Market Relevance

Infrastructure Priorities Shaping Today's Content Market

The challenges behind this syllabus — compliance, object storage at scale, cloud integration, and metadata-driven data management — remain central to enterprise content architecture.

Data Compliance & Retention

Regulatory mandates drive demand for immutable object storage with compliance and enterprise retention modes, audit trails, and tamper-evident data integrity.

Object Storage at Scale

Petabyte-scale unstructured data growth pushes organisations to adopt geo-distributed erasure coding, multi-site replication, and cloud-tier offloading.

Hybrid Cloud Content

HCP Cloud Scale and native cloud integration enable organisations to extend on-premises content repositories to private and public cloud without re-architecting applications.

AI-Ready Content Metadata

Metadata query engines and REST API capabilities power AI-driven content analytics, intelligent archiving, and automated content lifecycle management workflows.

Practical Outcomes

What You Will Be Able to Do

Design HCP architecture using RAIN or SAIN topology with appropriate IPL, MPL, or DPL data protection levels for enterprise resilience requirements.

Configure HCP Compliance and Enterprise modes, High Availability (ZCF), and replication topologies to meet data governance and availability SLAs.

Deploy HCP systems, HCP for Cloud Scale, Geo-distributed Erasure Coding, HCM clusters, and HCP Anywhere Enterprise environments step by step.

Integrate HCP with Active Directory, DNS, load balancers, HCP S Series extended storage, and third-party monitoring via HCM metric collection signals.

Leverage HCP MAPI and REST APIs for programmatic tenant and namespace management, system monitoring, and automated log collection workflows.

Use the HCP metadata query engine to implement content search, indexing, and policy-driven data lifecycle management across multi-tenant namespaces.

Modern Curriculum

Five Implementation Modules

Open a module to explore the objectives. Only one module stays open at a time for clean navigation of this technical syllabus.

Describe the difference between RAIN and SAIN architecture in HCP.
Describe the elements of the Content platform architecture.
Describe the difference between the front-end and back-end networks on HCP.
Demonstrate knowledge of the different HCP services.
Demonstrate knowledge about the differences between IPL, MPL, or DPL protection levels.
Demonstrate knowledge of the different replication topologies supported by HCP.
Describe all the protocols supported by an HCP system.
Demonstrate knowledge about the difference between Compliance and Enterprise mode of operation.
Describe HCP High Availability features (ZCF — Zone-Based Cluster Fault).
Demonstrate knowledge of how DNS works with HCP.
Describe the capabilities of HCP indexing and search using the metadata query engine.
Demonstrate knowledge of installing an HCP system.
Demonstrate knowledge of how to install HCP for Cloud Scale.
Describe the prerequisites to activate Geo-distributed Erasure Coding.
Demonstrate knowledge about the steps to install an HCM cluster.
Demonstrate knowledge about the steps to install an HCP Anywhere Enterprise system.
Describe AD or DNS configurations for Content platform environments.
Demonstrate knowledge of HCP S Series and extended storage integration.
Describe the prerequisites to work with a load balancer in an HCP environment.
Describe the four different signals that HCM uses to collect metrics from HCP.
Describe the difference between a tenant and a namespace in HCP.
Demonstrate knowledge of the HCP MAPI and/or REST API capabilities.
Demonstrate knowledge about the available methods to monitor an HCP system.
Demonstrate knowledge about the process to collect HCP system logs.
Who It's For

Built for Content Infrastructure Roles

Content Architects

Professionals designing HCP architecture, replication topologies, and compliance strategies for enterprise content environments.

Storage Engineers

Engineers implementing HCP systems, Cloud Scale deployments, erasure coding, and extended storage integrations.

Cloud Engineers

Practitioners extending on-premises content repositories to cloud using HCP Cloud Scale and HCP Anywhere Enterprise.

Compliance Officers

IT compliance and governance professionals who need to configure and validate HCP retention policies and audit capabilities.

Start Your Path

Build Expert-Level Hitachi Content Solutions Skills

Explore all five technical modules and speak with Zetlan Technologies about the right learning path for your content infrastructure goals.