Remove Analytics Remove Performance Remove Storage Remove Tools
article thumbnail

DIY cloud cost management: The strategic case for building your own tools

CIO

The dynamic nature of the cloud — and the need for continually optimize operations — often drives requirements unique to a CIO’s enterprise, meaning that even some popular third-party cloud cost optimization tools may no longer fit an enterprise’s specific requirements. Garcia gives the example of the AWS cURL file, written three times daily.

Tools 311
article thumbnail

What is data analytics? Analyzing and managing data for decisions

CIO

What is data analytics? Data analytics is a discipline focused on extracting insights from data. It comprises the processes, tools and techniques of data analysis and management, including the collection, organization, and storage of data. What are the four types of data analytics?

Analytics 338
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 top 15 big data and data analytics certifications

CIO

Data and big data analytics are the lifeblood of any successful business. Getting the technology right can be challenging but building the right team with the right skills to undertake data initiatives can be even harder — a challenge reflected in the rising demand for big data and analytics skills and certifications.

Big Data 317
article thumbnail

Optimizing for Price and Performance in the Cloud

CIO

Businesses, particularly those that are relatively new to the cloud, often overprovision resources to ensure performance or avoid running out of capacity. Analytics that take the guesswork out by determining the best selections, and ultimately automating instance configuration, is key.

article thumbnail

High-performance computing on AWS

Xebia

How does High-Performance Computing on AWS differ from regular computing? For this HPC will bring massive parallel computing, cluster and workload managers and high-performance components to the table. Today’s server hardware is powerful enough to execute most compute tasks. Why HPC and cloud are a good fit? No ageing infrastructure.

AWS 147
article thumbnail

How to manage data integration during an acquisition

CIO

Cloud-based analytics, generative AI, predictive analytics, and more innovative technologies will fall flat if not run on real-time, representative data sets. A hybrid cloud approach means data storage is scalable and accessible, so that more data is an asset—not a detriment.

Data 325
article thumbnail

Coralogix streams $142M into its coffers to expand its production analytics into a full-stack observability platform

TechCrunch

We’ve long documented the challenges that DevOps and operations teams in specific areas like security face these days when it comes to data observability: a wide range of services across the landscape of an organization’s network translates into many streams of data that they need to track for performance, security and other reasons.

Analytics 246