💥 Anddd that's a wrap! The MDS Rocketship Awards 2023 have come to an explosive conclusion! We've been blown away by the tremendous response and had an amazing time over the past 30 days. Check out the video below for all the highlights 👇🏻

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📝 "Tracking #Java Native Memory With JDK Flight Recorder" #JFR has added a few new event types for tracking memory allocations in Java 20/21, exploring them in this new post. 👉 https://t.co/6RsB0UyyIx

My Journey through Data Modeling: Navigating the Levels. Reflecting on my 20-year data modeling journey, I'm amazed by the evolution of approaches and levels in the field. No longer limited to Inmon and Kimball, we now have diverse techniques, each with its value.

I’m the head of Google AI ($15.7M TC). You better believe we’re using this OpenAI news to make rapid advancements and go on the offensive. As soon as I’m back from PTO for Thanksgiving break (December 1, 2023) I will be coordinating an all-hands with my team (on February 5,

➡️ Finally, Meskens provides a stepwise approach to adopting data-driven management, including understanding the business, mastering data, and continuously improving methodologies.

➡️ He elaborates on the components of this approach, such as the need for clean, reliable, and relevant data along with the right tools and competencies for data processing.

➡️ Meskens proposes that all layers of an organization, from management to operational employees, can effectively utilize data-driven operations.

➡️ Jan emphasizes that data-driven management, leveraging data to enhance decision-making, offers a competitive advantage by enabling accurate predictions, efficient operations, and better customer understanding.

➡️ Jan discusses the importance of data-driven management, detailing the why, who, what, and how associated with it.

🔓 Unlocking Competitive Advantage: The Essential Guide to Data-Driven Management by Jan Meskens https://t.co/hWX3cZNmYy

➡️ The author underscores the importance of understanding these subtle differences and similarities when choosing between the two platforms, depending on the specific needs and goals of the data process.

➡️ Nullif points out that while Snowflake outperforms Redshift in some areas, especially in flexibility and efficiency of certain functions, Redshift wins in others.

➡️ The author delves into a comprehensive comparison between the two platforms, covering several aspects such as data types, date functions, string functions, mathematical functions, conditioning, retyping, and more.

➡️ The Medium article by Nullif compares two popular SQL functions: Snowflake and Redshift.

⚖️ Comparing Giants in SQL World: A Comprehensive Analysis of Snowflake vs. Redshift Functions by Katherine Chiodo https://t.co/GEonSG2BZP

➡️ Lastly, he emphasizes the significance of the ETL process (Extract, Transform, Load), describing it as a crucial step to prepare data for analysis. The article serves as a primer for understanding the fundamental elements of data warehousing.

➡️ Secondly, Maulana explains the concept of OLTP and OLAP systems, stressing that data warehouses use OLAP for effective querying and analysis of complex, large-scale data.

➡️ The first point indicates the transformative impact of data warehouses in dealing with big data, being critical tools that help organizations structure vast amounts of information to reveal actionable insights.

➡️ The article outlines three key points that everyone should understand about data warehouses.

⭐ Decoding Data Warehouses: Three Essential Aspects to Comprehend by Aiden Awal Maulana https://t.co/xUrChyw8Vy