Data Lakes: Purposes, Practises, Patterns, and Platforms
Download the white paper
TDWI surveyed top data management professionals to discover 12 priorities for a successful data lake implementation.
This TDWI report by Philip Russom analyses the results. With the right tools, a data lake enables self-service data access and extends programmes for data warehousing, analytics, data integration, and more data-driven solutions.
What you’ll find inside your complimentary copy:
- An introduction to data lake types
- Benefits and challenges of data lake adoption
- Enabling technologies and real-world use cases
- Top 12 priorities for success
Please fill out the form to receive the document via email.
Related articles
- Qlik + Talend: Win with data
- Gain a competitive advantage in the new era of automotive with modern data ecosystems
- The modern data warehouse — a simple way to get there
- How to maximise your cloud modernisation mojo
- Accelerate data modernisation initiatives with CDC
- Talend Cloud Data Catalog Security Architecture Overview
- The Cloud Data Integration Primer
- O’Reilly Report: Moving Hadoop to the Cloud
- Talend Cloud Data Fabric security overview
- How Retail Companies Achieve Success with Data Integration
- The Definitive Guide to Data Integration
- How Financial Services Companies Achieve Success with Data Integration
- Self-Service Talend Migration: Moving from On-Premises to the Cloud
- Cloud Data Lakes
- Build a True Data Lake with a Cloud Data Warehouse
- Quality pipelines and datasets
- The Definitive Guide to Cloud Data Warehouses and Cloud Data Lakes
- 2023 Gartner® Magic Quadrant™ for Data Integration Tools