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Free Whitepaper
A Data Lake Approach to Event Stream Analytics
Although in the past collecting and analyzing logs was associated mainly with IT and networking professionals, the rise of software development, clickstream and app analytics has led to increased demand for log data analysis by data analytics teams, business units, and other non-IT stakeholders.
In this in-depth technical whitepaper, we examine the common architectural challenges of operationalizing log data at scale and suggest a solution.
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What you’ll learn in this whitepaper:
- Dive into the limitations of a database and SQL.
- Discover why companies have turned to a decoupled architecture over a database.
- Learn about strategies for taming event log data.
- Better understand how to operationalize log data at scale.
Powering data lakes for data-intensive companies
