Data lakehouse architecture: enabling CSPs to simplify data access and maximise data value
31 January 2023 | Research and Insights
Strategy report | PPTX and PDF (10 slides) | AI and Data Platforms
Communications service providers' (CSPs’) current data platforms are not fit-for-purpose when it comes to addressing existing business priorities using data and AI. Some CSPs are starting to implement data lakehouse architecture to address this challenge with a view to enabling more users to access and analyse data to optimise their operations.
Information included in this report
- Analysis of the challenges that CSPs face with existing data environments
- Benefits that early adopters have gained from implementing data lakehouse architecture
- Strategies adopted by data platform providers when developing solutions that align with data lakehouse architecture
USD1499
Log in to check if this content is included in your content subscription.
Author
Adaora Okeleke
Principal Analyst, expert in AI and data managementRelated items
Podcast
GenAI for telecoms networks: turning hype into action with Google Cloud and Accenture
Article
Network X 2025: operators and vendors are deploying AI across network systems
Company profile
Quantium Telstra: enterprise AI services
