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3 Things to Look Forward to at Google Cloud Next 2019

ParkMyCloud

Google Cloud Next 2019 will be our first Google event – and we’re looking forward to it! Google hopes to attract 30,000 attendees this year – up from 23,000 last year – to the San Francisco conference. At the event last year, Google Cloud made over 100 announcements.

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How to prepare for the AZ- 204 Exam: An Articulated Case Study

Cloud That

Durable Functions for Serverless Computing. Securing Cloud Solutions using Key Vault and App Configuration. Durable Functions for Serverless Computing. I thus intend to fill the gaps that I have discovered in the modules for which demos and labs are not sufficient. TABLE OF CONTENT. Conclusion. It also has links to?

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Apiumhub among top IT industry leaders in Code Europe event

Apiumhub

This year you will have 6 unique tracks: Cloud Computing: IaaS, PaaS, SaaS DevOps: Microservices, Automation, ASRs Cybersecurity: Threats, Defenses, Tests Data Science: ML, AI, Big Data, Business Analytics Programming languages: C++, Python, Java, Javascript,Net Future & Inspire: Mobility, 5G data networks, Diversity, Blockchain, VR.

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The Good and the Bad of Apache Airflow Pipeline Orchestration

Altexsoft

Other tech professionals working with the tool are solution architects , software developers, DevOps specialists, and data scientists. DevOps tasks — for example, creating scheduled backups and restoring data from them. The Good and the Bad of Serverless Architecture. 2022 Airflow user overview. Source: Apache Airflow.

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Technology Trends for 2022

O'Reilly Media - Ideas

“AWS,” “Azure,” and “cloud” were also among the most common words (all in the top 1%), again showing that our audience is highly interested in the major cloud platforms. Both “GCP” and “Google Cloud” were in the top 3% of their respective lists. Operations, DevOps, and SRE. That’s no longer true.

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The Good and the Bad of Databricks Lakehouse Platform

Altexsoft

Source: Databricks Delta Lake is an open-source, file-based storage layer that adds reliability and functionality to existing data lakes built on Amazon S3, Google Cloud Storage, Azure Data Lake Storage, Alibaba Cloud, HDFS ( Hadoop distributed file system), and others. Databricks lakehouse platform architecture.