Remove Big Data Remove Data Processing Remove Management
article thumbnail

Progress for big data in Kubernetes

O'Reilly on Data

It has become much more feasible to run high-performance data platforms directly inside Kubernetes. Kubernetes is really cool because managing services as flocks of little containers is a really cool way to make computing happen. But that isn’t what we would like in the long run, either. Recent advances in Kubernetes.

Big Data 232
article thumbnail

10 Examples of How Big Data in Logistics Can Transform The Supply Chain

datapine

Table of Contents 1) Benefits Of Big Data In Logistics 2) 10 Big Data In Logistics Use Cases Big data is revolutionizing many fields of business, and logistics analytics is no exception. The complex and ever-evolving nature of logistics makes it an essential use case for big data applications.

Big Data 275
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 future of data: A 5-pillar approach to modern data management

CIO Business Intelligence

This organism is the cornerstone of a companys competitive advantage, necessitating careful and responsible nurturing and management. To succeed in todays landscape, every company small, mid-sized or large must embrace a data-centric mindset.

article thumbnail

10 Big Data Examples Showing The Great Value of Smart Analytics In Real Life At Restaurants, Bars, and Casinos

datapine

When you think of big data, you usually think of applications related to banking, healthcare analytics , or manufacturing. After all, these are some pretty massive industries with many examples of big data analytics, and the rise of business intelligence software is answering what data management needs.

Big Data 244
article thumbnail

Manage Amazon OpenSearch Service Visualizations, Alerts, and More with GitHub and Jenkins

AWS Big Data

Amazon OpenSearch Service is a fully managed service for search and analytics. It allows organizations to secure data, perform searches, analyze logs, monitor applications in real time, and explore interactive log analytics. You can use an existing domain or create a new domain. Make sure the Python version is later than 2.7.0:

article thumbnail

The DataOps Vendor Landscape, 2021

DataKitchen

Testing and Data Observability. Sandbox Creation and Management. We have also included vendors for the specific use cases of ModelOps, MLOps, DataGovOps and DataSecOps which apply DataOps principles to machine learning, AI, data governance, and data security operations. . Testing and Data Observability.

Testing 304
article thumbnail

Top 14 Must-Read Data Science Books You Need On Your Desk

datapine

Big data is at the foundation of all the megatrends that are happening.” – Chris Lynch, big data expert. We live in a world saturated with data. Zettabytes of data are floating around in our digital universe, just waiting to be analyzed and explored, according to AnalyticsWeek. At present, around 2.7