Research Insights Made Simple 15 Review of"What goes around comes around ... and around" - Part II (Category Databases)

This one release “What goes around comes around ... and around” by Michael Stonebraker and Andrew Pavlo 20 years. Here, we talked about how database architectures have changed and why, and discussed the study authors’ findings about the future of databases. Alexey Svetlichny, my colleague who directs the development of the database department at T-Bank, helps me to analyze the article. Alexey works with databases more 15 From small systems to large enterprise solutions. He now leads the team that develops DBaaS and develops database expertise in the company.

For an hour of communication with Lesha, we discussed the second half of the article, which included the following topics:

Introduction and plan to discuss the evolution of database architectures 20 years.

• Development of relational and column database architectures The emergence and development of cloud databases with separation of storage and computing (scaling of resources, elasticity of calculations, object storage) Breakthroughs in OLTP-scaling (Example of AWS Aurora) Data Lake House and hybrid engines (Parquet, Iceberg, separation of workshop scaling and storage) Data quality and approaches to storing different classes of data Changing the Data Responsibility Paradigm in Companies (Data Mesh) NoSQL base, CAP theorem and consistency (MongoDB, Cassandra, ACID in NoSQL)
• NewSQL database. (Google Spanner, CockroachDB, YDB) complexity of their operation
• New technologies and hardware support of DB The role of marketing in technology success, opensource and user experience Whitepaper Final Conclusions and Thinking About the Future of Databases

The podcast release is available in Youtube, VK Video, Podster.fm, Ya Music.

#Software #Engineering #Metrics #Databases #Architecture #Devops