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How to take machine learning from exploration to implementation

O'Reilly Media - Data

The results of a recent survey we conducted (with 11,000+ respondents, a full report is forthcoming) bears this out—only about 15% of respondents worked for companies that have extensive experience using ML in production: In this post, I’ll describe how one can go from “exploration and evaluation” to actual “implementation” of ML technologies.

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The Modern Data Stack: What It Is, How It Works, Use Cases, and Ways to Implement

Altexsoft

This development has paved the way for a suite of cloud-native data tools that are user-friendly, scalable, and affordable. Known as the Modern Data Stack (MDS) , this suite of tools and technologies has transformed how businesses approach data management and analysis. Offered as open-source with active support by communities.

Data 59
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The Good and the Bad of Docker Containers

Altexsoft

Docker is an open-source containerization software platform: It is used to create, deploy and manage applications in virtualized containers. Launched in 2013 as an open-source project, the Docker technology made use of existing computing concepts around containers, specifically the Linux kernel with its features.

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Accelerating Cloud Adoption with Hitachi Vantara

Hu's Place - HitachiVantara

Surveys by Gartner , IDG , and Right scale in 2018 leave no doubt that cloud adoption is mainstream. Public cloud adoption led the way increasing to 92% in the Right Scale survey. The same survey showed that 81% having a multi-cloud strategy, leveraging almost 5 clouds on average.

Cloud 49
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Structured vs Unstructured Data: Compared and Explained

Altexsoft

Unstructured data, on the other hand, offers more flexibility and scalability. Such databases can process huge volumes of data and deal with high user loads as they are quite flexible and scalable. For instance, qualitative data can flow from customer surveys or social media feedback in a text form. OLAP applications.

Data 93
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DevOps Tools and Toolchain made easy to understand!

Openxcell

Now, businesses are progressing towards faster deployment with high software quality. Even during the pandemic, the survey conducted by IDC found that apart from other technology tools, DevOps tools are the only ones that have been getting more traction from the companies. Besides, it also monitors the micro-services of the business.

DevOps 52
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The Good and the Bad of Apache Spark Big Data Processing

Altexsoft

Maintained by the Apache Software Foundation, Apache Spark is an open-source, unified engine designed for large-scale data analytics. Hadoop YARN : Often the preferred choice due to its scalability and seamless integration with Hadoop’s data storage systems, ideal for larger, distributed workloads. What is Apache Spark?