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"️🔥IBM - Data Analyst - https://www.simplilearn.com/data-analyst-certification-course?utm_campaign=DWBSM47aLY8&utm_medium=DescriptionFFF&utm_source=Youtube ️🔥IITG - Professional Certificate Program in Data Analytics & Generative AI - https://www.simplilearn.com/iitk-professional-certificate-course-data-analytics?utm_campaign=DWBSM47aLY8&utm_medium=DescriptionFFF&utm_source=Youtube ️️🔥 IIT Delhi - Data Analytics, Generative AI And Adaptive System - https://www.simplilearn.com/ihfc-iitd-data-analytics-genai-course?utm_campaign=DWBSM47aLY8&utm_medium=DescriptionFFF&utm_source=Youtube ️🔥PL-300 Microsoft Power BI Certification Training with Exam - https://www.simplilearn.com/power-bi-certification-training-course?utm_campaign=DWBSM47aLY8&utm_medium=DescriptionFFF&utm_source=Youtube ️🔥Tableau Desktop Specialist Certification Training - https://www.simplilearn.com/tableau-training-and-data-visualization-course?utm_campaign=DWBSM47aLY8&utm_medium=DescriptionFFF&utm_source=Youtube" In this video, we're going to dive into the details of three popular ways to store data: databases, data lakes, and data warehouses. These terms are often thrown around in the tech world, especially during job interviews, so it's important to know what each one means and how they differ. We'll start off by explaining what each of these data storage options is and highlight their main features. Next, we'll look at the advantages and disadvantages of using each type of storage solution, helping you understand when and why you might choose one over the others. We will also compare how each system handles data. This includes discussing how they manage various forms of data, from well-organized structured data to more flexible semi-structured data and even unstructured data, which can be more complex to organize. After that, we'll go over some typical uses for databases, data lakes, and data warehouses, sharing examples to show how each is applied in real-life situations. By the end of this video, you'll have a solid grasp of the key differences between a database, a data lake, and a data warehouse. This knowledge will not only boost your understanding but also prepare you to discuss these topics confidently in job interviews. 00:00:00 - Introduction to Data Storage 00:01:58 - What is a Database? 00:03:37 - What is a Data Warehouse? 00:05:29 - What is a Data Lake? 00:07:14 - A Quick Recap 00:09:32 - Factors to Consider to Choose the Right Platform You can also go through the slides here: https://www.slideshare.net/slideshow/database-vs-data-warehouse-vs-data-lake-what-is-the-difference/269944599 ✅ Is BigQuery a data lake or data warehouse? BigQuery is a data warehouse. It is a fully managed, serverless, highly scalable, and cost-effective multi-cloud data warehouse offered by Google Cloud. BigQuery is designed for analyzing large datasets quickly and efficiently using SQL queries. ✅ Does data lake use ETL? Yes, data lakes use ETL (Extract, Transform, Load) processes, but they can also use ELT (Extract, Load, Transform) processes. ✅ Subscribe to our Channel to learn more about the top Technologies: https://bit.ly/2VT4WtH #Database #DataLake #DataWarehouse #CloudComputing #2024 #simplilearn ➡️ About Data Science Course in collaboration with IBM This Data Science course in collaboration with IBM propels your career to become a data scientist. Gain expertise in in-demand skills like Python, SQL, Excel, Machine Learning, Tableau, generative AI, and more. Dive deep into data interpretation nuances, master Machine Learning, and enhance programming skills to elevate your Data Science career. Key Features ✅ Simplilearn's JobAssist helps you get noticed by top hiring companies ✅ Masterclasses from IBM experts ✅ Dedicated live sessions by faculty of industry experts ✅ Industry-recognized Data Scientist Master’s certificate from Simplilearn ✅ Industry-recognized IBM certifications for IBM courses ✅ Ask-Me-Anything (AMA) sessions with IBM leadership ✅ Capstone from 3 domains and 25+ projects ✅ Exclusive hackathons conducted by IBM ✅ Lifetime access to self-paced learning content ✅ Program crafted to initiate your journey as a Data Scientist ✅ Integrated labs for hands-on learning experience Skills Covered ✅ Generative AI ✅ Prompt Engineering ✅ ChatGPT ✅ Exploratory Data Analysis ✅ Descriptive Statistics ✅ Inferential Statistics ✅ Explainable AI ✅ Conversational AI ✅ Large Language Models ✅ Model Building and Finetuning ✅ Ensemble Learning ✅ Data Visualization ✅ Database Management 👉 Learn More At: https://www.simplilearn.com/iitk-professional-certificate-course-data-analytics?utm_campaign=25June2024DbvsDWvsDL&utm_medium=Description&utm_source=youtube 🔥🔥
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