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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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Altexsoft - Untitled Article

Altexsoft

It is usually created and used primarily for data reporting and analysis purposes. Thanks to the capability of data warehouses to get all data in one place, they serve as a valuable business intelligence (BI) tool, helping companies gain business insights and map out future strategies. Architecture.

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The Good and the Bad of Kubernetes Container Orchestration

Altexsoft

Deployment and scaling automation to boost CI/CD Kubernetes has become an important part of a DevOps toolchain. It enables DevOps and site reliability engineer (SRE) teams to automate deployments, updates, and rollbacks. But even a seasoned software developer or DevOps engineer can find Kubernetes intimidating in the beginning.

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Accelerating Cloud Adoption with Hitachi Vantara

Hu's Place - HitachiVantara

Hybrid and multi-cloud also provide flexible data management, governance, compliance, availability, and durability. Another aspect of agility is the self-service resources that enables the DevOps culture to run dev/test workloads in the cloud. It eliminates upfront capital costs and avoids the risk of infrastructure vendor lock-in.

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The Good and the Bad of Docker Containers

Altexsoft

Taking this into account, Docker is a favorite of CI/CD practices and DevOps as it speeds up deployments, simplifies updates, and allows teammates to work efficiently together. The Good and the Bad of the SAP Business Intelligence Platform. The Good and the Bad of Serverless Architecture. Well-written documentation.

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Topics to watch at the Strata Data Conference in New York 2019

O'Reilly Media - Ideas

Machine learning, artificial intelligence, data engineering, and architecture are driving the data space. The Strata Data Conferences helped chronicle the birth of big data, as well as the emergence of data science, streaming, and machine learning (ML) as disruptive phenomena.

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The Good and the Bad of Databricks Lakehouse Platform

Altexsoft

To dive deeper into details, read our article Data Lakehouse: Concept, Key Features, and Architecture Layers. The lakehouse platform was founded by the creators of Apache Spark , a processing engine for big data workloads. Watch our video to learn more about one of the key Databricks applications — data engineering.