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Building a Modern Data Lakehouse: Design, Deploy and Operate

Don’t get left behind—the lakehouse is the future of data – Learn how to build it now

Main Speaker

Alon Zelovich

Learning Tracks

Data

Course ID

42808

Date

23/11/2025

Time

Daily seminar
9:00-16:30

Location

Daniel Hotel, 60 Ramat Yam st. Herzliya

Overview

The core of our reactor is centered around data store and processing, Oracle provide a Full Lakehouse architecture that includes services like: Data Lake, Data Warehouse, Machine Learning & AI, Data Ingest in Multi-Cloud environments.

The modern approach combines both approaches and offers a complete solution – Lake House, which normally include

Who Should Attend

DBAs
Data Engineering
Data scientists
Systems Analysts
Dataops

Prerequisites

Knowledge in the areas of: Databases, Data Science , Analytics, Data Engineering

Course Contents

Data Integration: Collect, ingest all type of data, including in real-time & streaming.
Datawarehouse: Manage all type of data – relational, document, spatial, graph – in a converged database.
Big Data & Data Lake: Manage un-structured data with open-source services
Machine Learning & AI: Build model where your data is. Augment apps with AI services.
Analytics: Complete analytics platform (for pixel perfect reporting, data visualization, data preparation and augmented analytics)
Dataops: Set of practices and tools that organisations use to improve the speed, quality, and reliability of data delivery.
More information: The seminar will cover the modern approach through all its components including:
- The Lake House architectures
- What has changed in the modern data warehouse?
- What are common integration patterns and tools.
- Demos and Examples of how everything works together.