As the year comes to an end, many of us start setting New Year’s resolutions. If learning and mastering Postgres is one of your goals for the year ahead, here’s a list of books that can help you level up, depending on what interests you most or your current level of expertise.
Level 1, “Just Use Postgres!” - (re)discover the breadth and depth of modern Postgres capabilities. You’ll learn how to use the database not only for traditional transactional applications, but also how it can efficiently handle full-text search, time-series, geospatial, generative AI, and other workloads.
https://t.co/41DnIUz4EZ
Level 2, “PostgreSQL Mistakes and How to Avoid Them” - learn how to design, build, and maintain Postgres-based solutions by following common best practices while avoiding typical pitfalls. From bad SQL and improper data type usage to performance and security best practices, this book helps you prepare for production and avoid many surprises along the way.
https://t.co/TM7dEJC3uO
Level 3, “Postgres Internals” - understand how the database is designed and how it functions internally. After reading this book, you’ll stop treating Postgres as a mysterious black box. You’ll learn the implementation details of its MVCC, buffer cache, write-ahead log, locking system, and other components of the database engine. You’ll also see how the database decides on query execution strategies and how various table and index access methods work in practice.
https://t.co/jApVa4OxaD
Happy New Year, and never stop learning!
https://t.co/t4p6PUwrL0
This is one of the most common questions I get from students in my graduate class — and I get it. Students are anxious to land their first job and move forward.
My answer? Yes and No.
#Certification#AWS#Azure#GCP
https://t.co/CT5z6nfgAF
Dear OTT Tech teams,
Enough of building AI models to predict what to watch next.
How about building a feature to help viewers watch smarter?
#OTT#Netflix#Prime#Hulu
https://t.co/FdPO20lwyF
Databricks: Convert Unstructured data into Structured data in 2 minutes.
If you think it's clickbait, it's Definitely Not.
@DailyDatabricks@databricks