“This monthly webinar series covers unstructured data management best practices with hands-on product demonstrations. Sessions address data tiering, AI data workflows, sensitive data classification, unstructured data migration, and metadata management with the Komprise Global Metadatabase. Each session is led by Ben Henry, Field CTO at Komprise.”
Recorded sessions:
- Data Tiering (watch on YouTube here)
- AI Data Workflows (watch on YouTube here)
- Unstructured Data Migration (watch on YouTube here)
- Deep Analytics (watch on YouTube here)
- Komprise Reports (watch on YouTube here)
Optimize Your Storage Strategy: Data Tiering Best Practices
In this best practice webinar series recording, Komprise Field CTO Benjamin Henry discusses how SSD and memory price increases are driving up primary storage costs. Intelligent Data Tiering has to be part of your plan this year. The demo reviews strategies to:
- Set up a Plan and Build the Cost Model – The Data Donut
- How to get a Detailed View Across Silos with “Storage Insights“
- Dig into Data Characteristics with Komprise Analysis
- Get Surgical with Deep Analytics and the Global Metadatabase Service
AI Data Workflows and KAPPA Data Services
AI initiatives depend on fast access to the right data, but most enterprise data is unstructured, siloed, and difficult to prepare for AI workflows. This session introduces Komprise Smart Data Workflows and KAPPA data services and focuses on how to automate data preparation for AI at scale.
In this best practices recording we review real-world approaches to sensitive data (PII / ePHI) detection, including practical regex-based use cases, and how these capabilities help ensure only the right data is fed into AI pipelines.
In this session, Ben demonstrates how to:
- Use Smart Data Workflows to automate data movement and data preparation
- Detect and classify sensitive data using policies and regex patterns
- Filter or take action on PII before ingestion into AI pipelines
- Build AI-ready datasets for RAG and other AI use cases, without complex ETL
Learn how to streamline data workflows, reduce risk, and deliver trusted, high-quality data to power your AI initiatives.
Unstructured Data Migration Best Practices
Data migration is a critical step in modernizing infrastructure, but without the right approach, it can be time-consuming, risky, and disruptive. Join Komprise for a hands-on session focused on Komprise Elastic Data Migration and proven best practices to simplify and accelerate large-scale data moves. This session reviews how to plan and execute file and object unstructured migrations with confidence, including how to use Assessment of Customer Environment (ACE) insights to guide decisions and avoid common pitfalls. Review how to:
- Plan and scope data migrations for performance, cost, and minimal disruption
- Use ACE to analyze data and inform migration strategy
- Leverage Data Stores to streamline and automate migration workflows
- Apply practical tips and tricks to optimize speed, accuracy, and outcomes
Whether you’re consolidating storage, moving to the cloud, or refreshing infrastructure, this session provides actionable guidance to ensure successful, efficient unstructured data migrations at scale.
Deep Analytics and the Global Metadatabase Best Practices
A recent Cloudera/HBR report showed that only 7% say their organization’s data is ready for AI adoption. Data discovery, classification, and metadata tagging are the foundation of not only preparing data for AI but also for security, compliance and cost savings mandates.
This session focused on Komprise Deep Analytics and the Global Metadatabase. In 45 minutes, you’ll see how to gain complete visibility into your unstructured data estate and how to use that intelligence to drive better decisions.
- Discover and analyze unstructured data across multi-vendor NAS and cloud storage environments
- Classify data by type, age, owner, usage, and custom criteria to inform policy decisions
- Tag data with business context and custom metadata to make it safe and discoverable for AI
- Use the Global Metadatabase as a vendor-neutral catalog for curated, governed AI data workflows
- Apply Deep Analytics insights to optimize tiering, migration, compliance, and data lifecycle policies
Whether you’re trying to cut storage costs, prepare unstructured data for AI pipelines, or bring order to years of data sprawl, this session will show you how Deep Analytics and the Global Metadatabase give you the foundation to manage your data estate with confidence and precision.
Komprise Reports: Show and Share the Value of Unstructured Data Management
Storage teams are under pressure to demonstrate the value of their data management programs. Without the right visibility, it’s hard to show what’s working, what it’s saving, and where to focus next. Komprise Reports give you the evidence you need to make the case.
In this session we demonstrate how to:
- Explore the most popular prebuilt reports, including cost savings, showback, and data growth
- Schedule automated reports so the right people get the right numbers
- Customize reports to reflect your environment, policies, and business priorities
- Use reporting insights to refine tiering, migration, and data lifecycle decisions
Whether you’re trying to justify your data management investment, meet internal showback requirements, or simply spend less time pulling numbers, this session shows you how Komprise Reports help you tell a compelling, data-driven story about the value of managing your unstructured data estate at scale.
Analytics-Driven Unstructured Data Migration: Advanced Features
Migrations shouldn’t get harder as your environment gets bigger and more complex.
Join Komprise on August 13 for a live, 45-minute session focused where we will walk through the advanced migration features now available in Komprise Elastic Data Migration.
In this session we’ll review how you can:
- Pause migrations in seconds, not hours. See the optimized pause action in practice, enabled by default, with automatic cleanup of partial file copies.
- Customize your migration view. Configure which columns appear in the migration table, with preferences that persist per user while exports always retain full column detail.
- Manage jobs in bulk. Run bulk actions across multiple migration jobs at once, backed by validation, confirmation prompts, and error reporting.
- Migrate mixed environments in a single pass. Preview single-pass dual share migration for mixed SMB/NFS environments, which preserves permissions and case sensitivity.
Whether you are managing a handful of migrations or running them at scale across a complex, mixed-protocol environment, this session will show you how to move unstructured data faster with less manual oversight.