In this monthly best practice series, we focus on Komprise demonstrations get practical tips and guidance from from Komprise Field CTO Benjamin Henry, who has years of experience working with some of the largest global enterprise organizations
The next “Office Hours” webinar:
Deep Analytics and the Global Metadatabase
June 10th at 12pm ET / 9am PT
Register Now
Recorded sessions:
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
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Learn more about Komprise Flash Stretch
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.
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Unstructured Data Migration Best Practices
- 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.
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Learn more about Komprise Elastic Data Migration
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.
Join Komprise for a hands-on 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.
In this live session Ben Henry, Field CTO at Komprise will demonstrate how to:
- 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.