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via Udemy |
Go to Course: https://www.udemy.com/course/serverless-data-analysis-with-big-query-on-googles-cloud/
Certainly! Here's a comprehensive review and recommendation for the Coursera course "Serverless Data Analysis with BigQuery on Google's Cloud": --- **Course Review: "Serverless Data Analysis with BigQuery on Google's Cloud"** **Overview:** This course is a highly valuable entry in the series designed to steer learners toward achieving the prestigious Google Certified Data Engineer certification. It offers a focused look at the role of serverless data analysis using Google BigQuery, a cornerstone service in Google Cloud Platform (GCP). The course is ideal for aspiring data engineers, data analysts, and anyone interested in mastering modern, scalable data analytics tools. **Content and Delivery:** The course emphasizes the practical application of BigQuery, Google’s enterprise data warehouse, which is both fully managed and serverless. It ensures students understand the core concepts behind BigQuery's architecture, its scalability, and how it enables analysis of massive datasets with familiar SQL syntax. Notably, this is not a programming-intensive course but rather a lecture-based curriculum reinforced with real-world examples, making it accessible for those with a solid understanding of SQL, the prerequisite knowledge for this course. **Strengths:** - **Focus on Real-World Skills:** It prepares learners for the analytical demands of today’s data-driven organizations by covering BigQuery’s capabilities—uploading data, executing complex queries on petabyte-scale datasets, and integrating BigQuery within broader cloud data workflows. - **Certification Preparation:** The course aligns with the Google Cloud Certified Data Engineer exam, providing targeted insights into the exam topics, particularly on serverless architecture and data analysis. - **Industry Relevance:** As the data industry shifts towards serverless and cloud-native solutions, this course ensures learners stay ahead of the curve. - **Inspiring Context:** The course underscores the massive growth of data and the increasing importance of data engineering roles, motivating students to see the big picture and career potential. **Areas for Improvement:** While the course provides a solid foundation, some learners seeking hands-on programming exercises might find the lecture format less engaging. Supplementing with practical labs and coding sessions could enhance the learning experience. --- **Recommendation:** I highly recommend this course for anyone interested in entering the field of data engineering or expanding their knowledge of cloud-based data analytics. It is especially beneficial for those already familiar with SQL and looking to specialize in a high-demand, future-proof skill set. The course's focus on Google Cloud’s BigQuery makes it a practical choice, given Google’s leadership in the data space and its certification's industry recognition. **Final Thoughts:** "Serverless Data Analysis with BigQuery on Google's Cloud" is a well-structured, relevant, and forward-thinking course that effectively prepares students for a thriving career in data engineering. Enroll if you want to be at the forefront of cloud data solutions, and you'll be well-equipped to handle big data challenges in the modern data ecosystem. --- Let me know if you'd like a shorter summary or additional details!
Welcome to Serverless Data Analysis with Big Query on Google's Cloud This is the second course in a series of courses designed to help you attain the coveted Google Certified Data Engineer. Additionally, the series of courses is going to show you the role of the data engineer on the Google Cloud Platform. At this juncture the Google Certified Data Engineer is the only real world certification for data and machine learning engineers. Note: This is not a programmers course on BigQuery. The goal of this course and the entire series of courses is to provide students with the foundation of the services you'll need to know for the Google Certified Data Engineering Exam. Because SQL is a prerequisite for the course this course is mostly lecture. Don't let that lull to sleep though, this service is heavily covered on the exam. BigQuery is Google's fully managed, petabyte scale, low cost enterprise data warehouse for analytics. BigQuery is serverless. There is no infrastructure to manage and you don't need a database administrator, so you can focus on analyzing data to find meaningful insights using familiar SQL. We are in a data revolution. Data used to be viewed as a simple necessity and lower on the totem pole. Now it is more widely recognized as the source of truth. As we move into more complex systems of data management, the role of the data engineer becomes extremely important as a bridge between the DBA, developer and the data consumer. Beyond the ubiquitous spreadsheet, graduating from RDBMS (which will always have a place in the data stack), we now work with NoSQL and Big Data technologies. Most cloud computing vendors are moving to a serverless architecture. What's serverless? Serverless is about abstracting users away from servers, infrastructure, and having to deal with low-level configuration or the core operating system. Instead, developers make use of single purpose services to execute code. Imagine for a second being able to upload data into a storage bucket and then run SQL like queries against it. Many data analysts call this the grail to data analysis. With BigQuery, that's exactly what you do. There's no spinning up or configuring anything. You upload data in the form of a csv or json file and an query against it. I don't mean a hundred thousand rows. I mean a billion. *Five Reasons to take this Course.* 1) You Want to be a Data Engineer It's the number one job in the world. (not just within the computer space) The growth potential career wise is second to none. You want the freedom to move anywhere you'd like. You want to be compensated for your efforts. You want to be able to work remotely. The list of benefits goes on. 2) The Google Certified Data Engineer Google is always ahead of the game. If you were to look back at at timeline of their accomplishments in the data space you might believe they have a crystal ball. They've been a decade ahead of everyone. Now, they are the first and the only cloud vendor to have a data engineering certification. With their track record I'll go with Google. 3) The Growth of Data is Insane Ninety percent of all the world's data has been created in the last two years. Business around the world generate approximately 450 billions transactions a day. The amount of data collected by all organizations is approximately 2.5 Exabytes a day. That number doubles every month. 4) The Data Revolution is Here We are in a data revolution. Data used to be viewed as a simple necessity and lower on the totem pole. Now it is more widely recognized as the source of truth. As we move into more complex systems of data management, the role of the data engineer becomes extremely important as a bridge between the DBA and the data consumer. 5) You want to be ahead of the Curve The data engineer role is fairly new. While your learning, building your skills and becoming certified you are also the first to be part of this burgeoning field. You know that the first to be certified means the first to be hired and first to receive the top compensation package. Thank you for your interest in Serverless Data Analysis with Big Query on Google's Cloud and we will see you in the course!!