DEN Newsletter #18
Data Engineering News
1. Governance Risk & Compliance: Essential Strategies
"How can you strengthen your governance, risk & compliance framework for long-term success?"
Josh Howard says that AI is revolutionizing industries, but are we prepared for the risks? Governance, risk, and compliance (GRC) frameworks are essential for balancing innovation with security, privacy, and fairness. This article explores how organizations can build responsible AI strategies, prevent bias, and protect data while maximizing AI’s benefits.
https://www.databricks.com/blog/governance-risk-compliance-essential-strategies
2. Evolution of Utilities: The Rise Of The Data Intelligent Utility
"Are data-intelligent utilities the future of energy and infrastructure?"
David Radford, Drew Triplett, and Dallas Swift discuss that modern utilities must evolve beyond legacy systems to harness the full power of AI and data intelligence. The key to resilience and efficiency lies in breaking down data silos, integrating real-time analytics, and leveraging AI for predictive maintenance, customer service, and sustainability.
https://www.databricks.com/blog/evolution-utilities-rise-data-intelligent-utility
3. Part 3: A Survey of Analytics Engineering Work at Netflix
"How does Netflix leverage analytics engineering to drive innovation?”
The authors of this article want to say that great analytics engineering is not just about data, it's about understanding users, optimizing workflows, and integrating real-time decision-making into complex systems. From designing intuitive dashboards to deploying AI-driven budgeting tools, Netflix’s engineering teams are pushing the boundaries of data intelligence.
https://netflixtechblog.com/part-3-a-survey-of-analytics-engineering-work-at-netflix-e67f0aa82183
4. Your Enterprise Data Needs an Agent
"Is an AI agent the missing piece in your enterprise data strategy?"
The author wants to say that AI agents are reshaping how enterprises interact with data, bridging the gap between structured and unstructured information for smarter, faster decisions. With Cortex Agents, Snowflake is unlocking new levels of automation, governance, and efficiency in enterprise AI.
https://www.snowflake.com/en/blog/ai-data-agents-snowflake-cortex/
5. On Spark, Hive, and Small Files: An In-Depth Look at Spark Partitioning Strategies
"Are small files slowing down your Spark and Hive workloads?”
Zachary Ennenga says that efficient Spark partitioning is the key to stable and scalable data pipelines. At Airbnb, managing small files in Hive and HDFS became a critical challenge, leading to deep exploration of partitioning strategies. This article dives into practical solutions to optimize file counts, improve query performance, and avoid hidden pitfalls.
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