Mastering Time Series Data Storage and Analysis in a Data Lakehouse: Best Practices, Challenges, and Solutions

Introduction: In the era of data-driven decision-making, time series data has emerged as a critical asset for businesses across various sectors. With the evolution of data architecture, storing and analyzing time series data in a data lakehouse platform presents both opportunities and challenges. In this blog post, we’ll explore the best practices for effectively managing time series data in a data lakehouse, delve into the challenges you might encounter, and provide practical solutions to overcome them.

Nnaemezue Obi-Eyisi
2 min readAug 25, 2023

Understanding the Data Lakehouse:

A data lakehouse combines the strengths of a data lake’s scalability and cost-effectiveness with a data warehouse’s structured querying capabilities. It offers the flexibility to store raw and structured data in a unified platform, making it an ideal choice for time series data storage and analysis.

Best Practices for Time Series Data Storage and Analysis:

Data Structuring:

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Nnaemezue Obi-Eyisi

I am passionate about empowering, educating, and encouraging individuals pursuing a career in data engineering. Currently a Senior Data Engineer at Capgemini