CIO
JANUARY 6, 2023
Database developers should have experience with NoSQL databases, Oracle Database, big data infrastructure, and big data engines such as Hadoop. DevOps engineers must be able to deploy automated applications, maintain applications, and identify the potential risks and benefits of new software and systems.
Linux Academy
JUNE 28, 2019
DevOps has become an integral part of the cloud – in Google Cloud , AWS , and Azure. Job sites are exploding with employers looking for professionals with DevOps skills and experience. How can you make sure you have the sought-after DevOps skills to succeed in your current or future position? Apache Kafka Deep Dive.
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Linux Academy
MAY 28, 2019
Splunk (Deep Dive) – As one of the early log aggregation products in the IT industry, Splunk has remained a popular choice among system administrators, engineers, and developers for operational analytics. ” In this course we describe the main characteristics of Big Data and its sources.
Altexsoft
JULY 4, 2022
The article promoted the idea of a new type of system administrator who would write code to automate maintenance, upgrades, and other tasks instead of doing everything manually. In smaller companies, networking falls into the responsibilities of an infrastructure engineer or system administrator. Infrastructure architect.
Apiumhub
JULY 16, 2019
She’s a contributor to Experiences of Test Automation by Dorothy Graham and Mark Fewster (Addison-Wesley, 2011), DevOps for Developers by Michael Huetterman (Apress 2012), and Beautiful Testing (O’Reilly, 2009). She podcasts with Arrested DevOps, blogs at [link] and is active in a Twitterverse near you. 16 – Tanya Reilly.
O'Reilly Media - Ideas
DECEMBER 5, 2018
Data science and data tools. Apache Hadoop, Spark, and Big Data Foundations , January 15. Python Data Handling - A Deeper Dive , January 22. Practical Data Science with Python , January 22-23. Systems engineering and operations. DevOps Toolkit , January 28-29. Ansible in 4 Hours , January 29.
O'Reilly Media - Ideas
JANUARY 2, 2019
Artificial Intelligence for Big Data , February 26-27. Data science and data tools. Apache Hadoop, Spark, and Big Data Foundations , January 15. Python Data Handling - A Deeper Dive , January 22. Practical Data Science with Python , January 22-23. SQL Fundamentals for Data , February 19-20.
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