Micro Focus - Going Beyond a Data Lakehouse
Common Sense Virtual Roundtable:

Going Beyond a Data Lakehouse

March 1st, 2022, 10 AM – 11 AM SGT, Successfully held

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Presented by

Vertica

Here’s what we discussed:

The term “Data Lakehouse” combines the power of a data lake with the power of a data warehouse, but the whole reason to invest in this technology is to facilitate advanced analytics, regardless of where you put your data.

In this session, we’ll discuss how companies are using new technologies to unify different analytics approaches, different teams of analysts, and different architectures in ways that go beyond what most data lakehouses can deliver.

Solution Expert 

Candy Lim
Regional Director – Vertica Big Data & Analytics Platform, SEA at Microfocus
LinkedIn

Here is what we learned:

Ion Mudreac, Chief Technology Officer Digital Banking, Advance Intelligence Group

• Ion joined the call to learn about data mesh from other practitioners.
• One of the problems of a data lake is data synchronization and consistency. In a dynamic environment, you need to sync your data so that it is consistent.
• Everyone thinks the data lake is the center of all your data, but it is not. It is the source. Instead, they connect databases with interfaces, and take the latest data and sources for risk management and so on.

Oliver Chen, Head of Data, Financial Services, Traveloka

• Oliver joined the call to learn about data meshes and data governance.
• Traveloka, as a business, is data mature, but there are some prioritization issues. Some products will launch quickly, and tracking data is forgotten. It creates a missed data opportunity. Eventually, they get most of the data but it might not have the priority that the data team thinks it should have.

Request detailed session notes

We are careful about who we send this key document to. The session notes will be sent based on the request, provided your profile matches our qualification criteria.

About Vertica:

Vertica is the fastest, most advanced SQL analytics database, available on-premise, on Hadoop, and multiple clouds – all delivered via one unified platform. With tight integration with Hadoop, Kafka, and Spark, and built-in advanced analytics and Machine Learning, Vertica delivers the highest performance at extreme scale. Vertica. Built for fast. Built for freedom.

Participation in the Virtual Roundtable is free of charge to qualified attendees. Once you’ve completed the registration, we’ll confirm your invitation and send you a calendar invite with a link to the meeting.

If you don’t qualify, we’ll suggest other learning events that may be a better fit for you.

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