CIO

AUGUST 9, 2022

Data engineers design, build, and optimize systems for data collection, storage, access, and analytics at scale. Database-centric: In larger organizations, where managing the flow of data is a full-time job, data engineers focus on analytics databases. What is a data engineer? Data engineer job description.

Data Engineering 328

Data Engineering Analytics Engineering Data 328

CIO

JANUARY 26, 2023

That way the group that added too many fancy features that need too much storage and server time will have to account for their profligacy. They’ve started adding better accounting tools and alarms that are triggered before the bills reach the stratosphere. What follows is an alphabetical list of the best cloud cost tracking tools.

Tools 290

Tools Cloud Artificial Inteligence Artificial Intelligence 290

CIO

JANUARY 5, 2023

Low-code/no-code visual programming tools promise to radically simplify and speed up application development by allowing business users to create new applications using drag and drop interfaces, reducing the workload on hard-to-find professional developers. Vikram Ramani, Fidelity National Information Services CTO.

Software Review 325

Software Review Tools Off-The-Shelf Technical Review 325

DevOps.com

JUNE 2, 2020

Cloudian today added a monitoring and observability tool to its object-based portfolio of appliances for storing unstructured data in on-premises IT environments. The post Cloudian Adds Object-Based Storage Platform Monitoring Tool appeared first on DevOps.com. Cloudian is also pledging to extend the […].

Storage 90

Storage Tools Analytics Marketing 90

Honeycomb

OCTOBER 16, 2024

This is why we’re launching Honeycomb Telemetry Pipeline and Honeycomb for Log Analytics : to enable engineering teams to send and analyze data—including logs—into a single, unified platform. For too long, teams have had to wrangle large volumes of logs, their context scattered across multiple teams and tools, leading to knowledge silos.

Analytics 89

Analytics Comparison Engineering Data 89

TechCrunch

JUNE 1, 2022

That’s leading to the rise of a wave of startups building tools to improve how to manage this. Added to this, the company is now going to be adding in a fourth area: now it will also offer a distributed query engine for fast queries on mapped data from a customer’s own archives in remote storage.

Analytics 246

Analytics DevOps Storage Business Intelligence 246

Cloudera

NOVEMBER 7, 2023

Navigating this intricate maze of data can be challenging, and that’s why Apache Ozone has become a popular, cloud-native storage solution that spans any data use case with the performance needed for today’s data architectures. One of these two layouts should be used for all new storage needs.

Storage 104

Storage System Architecture Analytics 104

TechCrunch

MAY 19, 2021

German battery analytics software company Twaice has been taking aim at this problem since its founding in 2018, and it announced Wednesday that it has raised $26 million in Series B funding led by Chicago-based Energize Ventures. Twaice also offers solutions before the battery even enters the vehicle or energy storage system.

Analytics 155

Analytics Software Energy Storage 155

CIO

NOVEMBER 28, 2023

As more businesses push forward with digital transformation projects, cloud computing has stood out as a powerful tool capable of fueling the analytics that drive new technologies like artificial intelligence (AI) and machine learning (ML)—two capabilities that are quickly becoming a must-have in nearly every organization.

Artificial Inteligence 298

Artificial Inteligence Cloud Artificial Intelligence Analytics 298

CIO

OCTOBER 24, 2024

The company also plans to increase spending on cybersecurity tools and personnel, he adds, and it will focus more resources on advanced analytics, data management, and storage solutions. Although Rucker raises concerns about the global economy and rising technology costs, he says many IT spending increases will be necessary.

Artificial Inteligence 334

Artificial Inteligence Data Center Generative AI Artificial Intelligence 334

Openxcell

JUNE 9, 2023

Big Data analytics,on the other hand, refers to using this huge amount of data to make informed business decisions. Let us have a look at Big Data Analytics more in detail. What is Big Data Analytics? This blog explains all about Big Data Analytics, its trends, tools and more.

Big Data 52

Big Data Analytics Tools Data 52

CIO

JULY 18, 2024

Modern tools with user-friendly interfaces and automation capabilities can simplify data discovery and help IT teams get a fuller picture of their data. This limits both time and cost while increasing productivity, allowing employees to make stronger analytical decisions.

Cloud 278

Cloud Data Storage eBook 278

TechCrunch

MAY 24, 2022

Given how critical this sort of visibility into a system can be for developers, not to mention a broader organization, it’s unsurprising that tools to help achieve greater observability remain in high demand. ” Image Credits: Cribl.

Tools 212

Tools Survey Metrics Enterprise 212

CIO

OCTOBER 30, 2024

Cloudera’s survey revealed that 39% of IT leaders who have already implemented AI in some way said that only some or almost none of their employees currently use any kind of AI tools. This requires greater flexibility in systems to better manage data storage and ensure quality is maintained as data is fed into new AI models.

Enterprise 349

Enterprise Artificial Inteligence Architecture Artificial Intelligence 349

Honeycomb

JANUARY 24, 2024

I think it’s because people are beginning to correctly intuit that the value they get out of their tooling has become radically decoupled from the price they are paying. In the happiest cases, the price you pay for your tools is “merely” rising at a rate several times faster than the value you get out of them. On and on it goes.

Tools 143

Tools Metrics Software Review Engineering 143

InfoWorld

MARCH 8, 2024

LinkedIn has decided to open source its data management tool, OpenHouse, which it says can help data engineers and related data infrastructure teams in an enterprise to reduce their product engineering effort and decrease the time required to deploy products or applications. To read this article in full, please click here

Open Source 72

Open Source Tools Data Engineering Storage 72

CIO

SEPTEMBER 23, 2024

For sectors such as industrial manufacturing and energy distribution, metering, and storage, embracing artificial intelligence (AI) and generative AI (GenAI) along with real-time data analytics, instrumentation, automation, and other advanced technologies is the key to meeting the demands of an evolving marketplace, but it’s not without risks.

Data 306

Data Energy Artificial Inteligence Artificial Intelligence 306

CIO

OCTOBER 20, 2023

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

Data How To Quality Assurance Software Development 325

Datavail

APRIL 12, 2021

It supports many types of workloads in a single database platform and offers pluggable storage architecture for flexibility and optimization purposes. You can set up storage engines on a per-database instance or per-table basis. Here are some of the storage engines you can leverage in MariaDB for your development projects.

Storage 98

Storage Engineering Open Source Business Intelligence 98

Altexsoft

MAY 14, 2021

Not only does Big Data apply to the huge volumes of continuously growing data that come in different formats, but it also refers to the range of processes, tools, and approaches used to gain insights from that data. This post will draw a full picture of what Big Data analytics is and how it works. What is Big Data analytics?

Big Data 78

Big Data Analytics Tools Applications 78

CIO

OCTOBER 10, 2024

The growing role of FinOps in SaaS SaaS is now a vital component of the Cloud ecosystem, providing anything from specialist tools for security and analytics to enterprise apps like CRM systems. FinOps procedures and ITAM tools should work together to guarantee ongoing SaaS license management and monitoring.

Cloud 289

Cloud Guidelines Enterprise Sustainability 289

CIO

JANUARY 20, 2023

BI tools access and analyze data sets and present analytical findings in reports, summaries, dashboards, graphs, charts, and maps to provide users with detailed intelligence about the state of the business. Business intelligence examples Reporting is a central facet of BI and the dashboard is perhaps the archetypical BI tool.

Business Intelligence 360

Business Intelligence Data Business Analytics Analytics 360

Cloudera

SEPTEMBER 15, 2022

It was designed as a native object store to provide extreme scale, performance, and reliability to handle multiple analytics workloads using either S3 API or the traditional Hadoop API. There are also newer AI/ML applications that need data storage, optimized for unstructured data using developer friendly paradigms like Python Boto API.

Storage 87

Storage System Artificial Inteligence Big Data 87

CIO

OCTOBER 2, 2024

Why the synergy between AI and IoT is key The real power of IoT lies in its seamless integration with data analytics and Artificial Intelligence (AI), where data from connected devices is transformed into actionable insights. This impressive growth trajectory underscores the accelerating role of IoT in our lives.

IoT 308

IoT Real Estate Artificial Inteligence Sustainability 308

Firemon

SEPTEMBER 20, 2024

To effectively identify and record assets across hardware devices, software applications, network components, and more, IT professionals can leverage asset discovery tools. What Is an Asset Discovery Tool? Asset discovery tools can identify known resources as well as uncover redundant, unmanaged, or unauthorized assets and devices.

Tools 52

Tools Compliance Software Review IoT 52

CIO

OCTOBER 23, 2024

We had integration tools at our company but they were older, outdated tools,” he says. With change comes choice Spirent’s decision to use a public cloud for data storage is a popular approach. And all the infrastructure problems — the storage, connectivity, compute, and latency — will only increase next year.

Infrastructure 340

Infrastructure Artificial Inteligence ChatGPT Data Center 340

Firemon

SEPTEMBER 20, 2024

How Asset Discovery Tools Work What Is an Asset Discovery Tool? Top 5 Use Cases for Asset Discovery Manage Your Network Assets with FireMon Frequently Asked Questions Get a Demo How Asset Discovery Tools Work As organizations grow, their IT assets grow exponentially. What Is an Asset Discovery Tool?

Tools 52

Tools Compliance Software Review IoT 52

CIO

JANUARY 19, 2024

Whether you’re looking to earn a certification from an accredited university, gain experience as a new grad, hone vendor-specific skills, or demonstrate your knowledge of data analytics, the following certifications (presented in alphabetical order) will work for you. Check out our list of top big data and data analytics certifications.)

Artificial Inteligence 317

Artificial Inteligence Data Machine Learning Azure 317

CIO

MARCH 9, 2022

Applying artificial intelligence (AI) to data analytics for deeper, better insights and automation is a growing enterprise IT priority. But the data repository options that have been around for a while tend to fall short in their ability to serve as the foundation for big data analytics powered by AI.

Artificial Inteligence 298

Artificial Inteligence Data Artificial Intelligence Analytics 298

TechCrunch

APRIL 27, 2021

It connects to various data sources including Salesforce and Google Analytics, data lakes like Snowflake, csv files to take advantage of Excel data or cloud storage tools like Amazon S3.

Artificial Inteligence 212

Artificial Inteligence Tools Machine Learning Data 212

Cloudera

JULY 19, 2023

Introduction Ozone is an Apache Software Foundation project to build a distributed storage platform that caters to the demanding performance needs of analytical workloads, content distribution, and object storage use cases. The tool reads only the metadata for objects in a cluster with around 100 million keys.

Storage 70

Storage Performance Hardware Architecture 70

Capgemini

OCTOBER 7, 2024

Unlocking data analytics: eight strategies for effective cloud data design and management for Google Cloud Deepak Kumar Arya 30 Sep 2024 Facebook Twitter Linkedin Learnings and best practices based on successful Google Analytics data platform implementations Effectively leveraging enterprise data is one of the best ways to grow a business.

Google Cloud 52

Google Cloud Analytics Cloud Data 52

AWS Machine Learning - AI

NOVEMBER 18, 2024

The AI assistant is powered by an intelligent agent that routes user questions to specialized tools that are optimized for different data types such as text, tables, and domain-specific formats. You can then pass the query down to the relevant tool for further processing. The following diagram illustrates the solution architecture.

Artificial Inteligence 91

Artificial Inteligence Tools Generative AI Data 91

CIO

NOVEMBER 14, 2024

“Online will become increasingly central, with the launch of new collections and models, as well as opening in new markets, transacting in different currencies, and using in-depth analytics to make quick decisions.” Vibram certainly isn’t an isolated case of a company growing its business through tools made available by the CIO.

Cloud 173

Cloud Technical Review Data B2C 173

Sunflower Lab

OCTOBER 2, 2023

Choosing the Ultimate Data Analytics Tool As a digital service providing enterprise, we constantly find ways to help a business through technology, and with this due process we find new innovative ideas and tools which are yet to be implemented by many of the enterprises in their system.

Azure 40

Azure Analytics UI/UX Software Review 40

TechCrunch

DECEMBER 1, 2020

DevOps continues to get a lot of attention as a wave of companies develop more sophisticated tools to help developers manage increasingly complex architectures and workloads. On top of that, today there are a wide range of applications and platforms that a typical organization will use to manage source material, storage, usage and so on.

Tools 214

Tools Data Weak Development Team Big Data 214

Infinidat

JULY 13, 2021

AIOps Supercharges Storage-as-a-Service: What You Need to Know. In an interesting twist, though, the deployment of Artificial Intelligence for IT Operations (AIOps) in enterprise data storage is actually living up to the promise – and more. But AI is not only inside the storage platform. Adriana Andronescu.

Storage 98

Storage Artificial Inteligence Artificial Intelligence Enterprise 98