Watch full webinar here: https://buff.ly/47i7jZq Data lakes have been both praised and loathed. They can be incredibly useful to an organization, but it can also be the source of major headaches. Its ease to scale storage with minimal cost has opened the door to many new solutions, but also to a proliferation of runaway objects that have coined the term data swamp. However, the addition of an MPP engine, based on Presto, to Denodo’s logical layer can change the way you think about the role of the data lake in your overall data strategy. ATTEND & LEARN: - The new MPP capabilities that Denodo includes - How to use them to your advantage to improve the security and governance of your data lake - New scenarios and solutions where your data fabric strategy can evolve

1. DENODO LUNCH AND LEARN
Shaping the Role of a Data Lake in a Modern
Data Fabric Architecture
Felix Liao
Director of Product Management
APAC | Denodo

2. Agenda
1. The Role of the Data Lake Today and Tomorrow
2. Current Challenges Associated with Data Lake
3. Data Lake within a Data Fabric Architecture

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Incorporating a modern data lake in your enterprise data
strategy will need additional capabilities

7. Traditional
DB & DW
Cloud Excel
Lake
Storage
MPP Engine

8. Object Storage File Format Table Format Metastore/Catalog

10. Object Storage configuration
Object Storage browsing

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17. • An object storage is often used to share and exchange
3rd party data between partners today.
• Data can be in parquet, but also in JSON, CSV or even
Excel
• Denodo can automatically map and publish these types
of data for easy consumption
• Denodo can help integrate third party data with
existing corporate data repositories

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20. Q&A

21. Thanks!
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