Tech könyvek

Régebben

Git. Chacon, Scott – Straub, Ben: Pro Git. 2nd edition. Apress, 2014.
Linux. Nemeth, Evi et al.: Unix and Linux System Administration Handbook. 5th edition. Addison-Wesley, 2017-08.
Perl. [chromatic]: Modern Perl. 4th edition. [2016].

Git. Silverman, Richard E.: Git Pocket Guide. O’Reilly, 2013-06.
Go. Donovan, Alan A. A. – Kernighan, Brian W.: The Go Programming Language. Addison-Wesley, 2015-11.

Hugo. Jain, Atishay: Hugo in Action. Static sites and dynamic Jamstack apps. Manning, 2022-03. [MEAP: 2021]
PM. Kogon, Kory – Wood, James – Blakemore, Suzette: Project Management for the Unofficial Project Manager. BenBella Books, 2015.

Docker. Nickoloff, Jeff – Kuenzli, Stephen: Docker in Action. 2nd edition. Manning, 2019-10.
Elastic Stack. Konda, Madhusudhan: Elasticsearch in Action. 2nd edition. Manning, [2022]. MEAP.
PL/SQL. Feuerstein, Steven: Oracle PL/SQL Programming. 6th edition. O’Reilly, 2014-01.

Ansible. Geerling, Jeff: Ansible for DevOps. Server and configuration management for humans. 2nd edition. Leanpub, 2020-08.
Data. Kimball, Ralph: The Data Warehouse Toolkit. 3rd edition. Wiley, 2013.
Data. Inmon, W. H.: Building the Data Warehouse. 3rd edition. Wiley, 2002.
Data. Kleppmann, Martin: Designing Data-Intensive Applications. O’Reilly, 2017-03.
Go. Gumus, Inanc: Effective Go. Manning, [2023]. MEAP.
SQL. Tanimura, Cathy: SQL for Data Analysis. Advanced Techniques for Transforming Data into Insights. O’Reilly, 2021-09.