Remove Big Data Remove Business Intelligence Remove Open Source Remove Survey
article thumbnail

Core technologies and tools for AI, big data, and cloud computing

O'Reilly Media - Ideas

This concurs with survey results we plan to release over the next few months. In a forthcoming survey, “Evolving Data Infrastructure,” we found strong interest in machine learning (ML) among respondents across geographic regions. Data Integration and Data Pipelines. Automation in data science and big data.

article thumbnail

The Good and the Bad of Apache Spark Big Data Processing

Altexsoft

These seemingly unrelated terms unite within the sphere of big data, representing a processing engine that is both enduring and powerfully effective — Apache Spark. Maintained by the Apache Software Foundation, Apache Spark is an open-source, unified engine designed for large-scale data analytics.

Insiders

Sign Up for our Newsletter

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

article thumbnail

The Good and the Bad of Kubernetes Container Orchestration

Altexsoft

Kubernetes or K8s for short is an open-source platform to deploy and orchestrate a large number of containers — packages of software, with all dependencies, libraries, and other elements necessary to execute it, no matter the environment. Source: Dynatrace What auxiliary processes do companies entrust to the orchestrator?

article thumbnail

Analyst One Announces Top Analytical Technologies List

CTOvision

With the continuous development of advanced infrastructure based around Apache Hadoop there has been an incredible amount of innovation around enterprise “Big Data” technologies, including in the analytical tool space. H2O by 0xdata brings better algorithms to big data. Mike really nailed it with that one.

article thumbnail

Becoming a machine learning company means investing in foundational technologies

O'Reilly Media - Ideas

I will highlight the results of a recent survey on machine learning adoption, and along the way describe recent trends in data and machine learning (ML) within companies. Use ML to unlock new data types—e.g., Thus, many developers will need to curate data, train models, and analyze the results of models. Source: O'Reilly.

article thumbnail

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

Altexsoft

Additionally, this modularity can help prevent vendor lock-in, giving organizations more flexibility and control over their data stack. Offered as open-source with active support by communities. Many components of a modern data stack (such as Apache Airflow, Kafka, Spark, and others) are open-source and free.

Data 59
article thumbnail

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