Data Engineer Things’ Post

Completed another course on Data Modeling in Snowflake, further strengthening my Data skills! #SQL #DataScience #LearningJourney #SkillsDevelopment #ProfessionalGrowth

Introduction to Data Modeling in Snowflake

Snowflake Optimization Tip of the Day #2 ➡ Enable Automatic Clustering Snowflake has a powerful concept of automatic clustering that can help in reducing compute cost. The way it works is - less data processed leads to a lower compute bill. By default, Snowflake clusters the data based on the insertion pattern of the data, commonly called natural clustering. Taking an example of events data, let’s say certain events come in every day, so Snowflake naturally organizes data by event date. But while querying, analysts might tend to use both the event date as well as the event type as filters. The distribution of event types can vary throughout the day, so Snowflake will not organize the data based on event type by default. You’ll need to guide it to cluster the data on both event date and event type, by explicitly mentioning clustering keys. Snowflake will do the heavy lifting of re-clustering the data in the background through the process of automatic clustering. Once this gets done, queries using event date and event type as filters would run faster - as they have to process only a subset of the data, and therefore will have a lower cost. However, automatic clustering also takes up credits, so it should not be enabled on all tables. But like every Snowflake feature, it’s very easy to switch on and off. The best way to determine whether to enable automatic clustering on a table is to actually do it and see if there's a cost advantage. I’ve personally seen it work well on tables >250GB in size.

Completed the Introduction to Data Modeling in Snowflake course on DataCamp.

“Completing an introductory course in Snowflake is like unlocking a new door to the vast world of data. With each concept learned, I feel empowered, ready to harness the true potential of data. The journey has been enlightening, transforming me from a data enthusiast into a data warrior. Now, I stand ready, equipped with the knowledge of Snowflake, to sculpt the mountains of data into meaningful insights.” 😊 #DataAnalyst #DataWarehouse #Snowflake #CloudComputing #Analysis

I’ve recently completed the "Introduction to Data Modeling in Snowflake" course on DataCamp. This course was incredibly informative and gave me a solid foundation in data modeling, while providing plenty of practical exercises to put the theory into action. Throughout the course, I explored: - The fundamentals of data modeling and how it can help organize data more efficiently - How to manage data relationships and apply normalization techniques - Different data modeling approaches like Entity–Relationship, Dimensional Modeling, and Data Vault - Snowflake’s architecture and how it optimizes query performance for faster, more efficient data processing I’m looking forward to applying these new skills and further exploring how data modeling can improve decision-making in a cloud-based environment. #DataScience #CloudComputing #DataEngineering #TechSkills #SnowflakeDataWarehouse #BigData #Analytics #SQL #DataArchitecture #TechLearning #ProfessionalDevelopment #DataStrategy #DataDriven #DigitalTransformation #CareerGrowth #CloudData

This is a pretty good overview of data modeling techniques that focuses on implementations in Snowflake.

🔍 Exploring the Power of Dynamic Tables in Snowflake 🔍 Are you looking to elevate your data management game? Dive into the world of dynamic tables in Snowflake! 💡 Dynamic tables offer unparalleled flexibility and efficiency in handling data, enabling seamless adaptability to changing business needs. Whether you're dealing with evolving schemas, fluctuating data volumes, or dynamic data transformations, Snowflake's dynamic tables have got you covered. Here's why dynamic tables are a game-changer: 1️⃣ Adaptive Schema Evolution: Say goodbye to rigid schemas. With dynamic tables, you can effortlessly accommodate schema changes without the hassle of altering existing structures. This agility ensures smooth data ingestion and processing, empowering your analytics initiatives. 2️⃣ Scalability at its Finest: In today's data-driven landscape, scalability is non-negotiable. Dynamic tables in Snowflake scale effortlessly, allowing you to handle massive volumes of data with ease. Whether you're dealing with terabytes or petabytes, Snowflake's dynamic tables ensure optimal performance without compromising on speed. 3️⃣ Real-time Insights: Time is of the essence in the world of analytics. With dynamic tables, you can unlock real-time insights into your data, enabling quick decision-making and actionable intelligence. Say hello to agility and goodbye to latency. 4️⃣ Efficient Data Transformations: Transforming data shouldn't be a headache. Dynamic tables streamline the process, enabling seamless data transformations on the fly. From simple manipulations to complex operations, Snowflake's dynamic tables empower you to transform your data with ease. Ready to harness the power of dynamic tables in Snowflake? Unlock the full potential of your data and supercharge your analytics initiatives like never before. 💥 #Snowflake #DataManagement #Analytics #DynamicTables

I’ve just completed the Introduction to Data Modeling in Snowflake Course on DataCamp! #data_vault #snowflake #data_Modeling #dimensional_modeling

Dive into Your Data Lake: Master Non-Loaded Data with Snowflake's Tools! #DataLake #Snowflake #DataAnalysis Calling all data enthusiasts! Want to unlock the power of your data lake, even before it's fully loaded? Our Data Lake Workshop (DLKW) equips you with the skills to explore and analyze non-loaded data using Snowflake's powerful tools. What you'll learn: Non-Loaded Data: Uncover the potential of data at rest, perfect for rapid prototyping and initial explorations. Unstructured & GeoSpatial Data: Master techniques for handling diverse data formats like JSON, GeoJSON, and image files. Introducing Iceberg Tables: Get a sneak peek at Snowflake's upcoming Iceberg table functionality! ❄️ Hands-On Labs: Dive deep with Parquet, GeoJSON, image data, and more! Sharpen your Snowflake Skills: Stages & Querying: Leverage Snowflake stages to access and query non-loaded data efficiently. File Formats & Directory Tables: Master techniques for working with various file formats and directory tables. GeoSpatial Functions: Craft powerful location-based queries with Snowflake's geospatial functions. ️ User Defined Functions (UDFs): Extend Snowflake's capabilities by creating your own custom functions. 🪄 Marketplace Data Shares: Explore the potential of Marketplace Data Shares for seamless data collaboration. Workshop Highlights: Highly Interactive: Engage with reflection questions, hands-on labs, and automated checks for a dynamic learning experience. Fast-Paced & Informative: Learn quickly and efficiently with a lighthearted and engaging approach. ⚡️ Scenario-Driven & Metaphor-Rich: Solidify your understanding with real-world scenarios and relatable metaphors. Ready to unlock the true potential of your data lake? Register for the DLKW and become a non-loaded data analysis pro! #DataExploration #SnowflakeLearning #Workshop