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 284

Tools Cloud Artificial Inteligence Artificial Intelligence 284

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

Cloudera

NOVEMBER 7, 2023

Are you struggling to manage the ever-increasing volume and variety of data in today’s constantly evolving landscape of modern data architectures? One of these two layouts should be used for all new storage needs. Most traditional analytics applications like Hive, Spark, Impala, YARN etc.

Storage 103

Storage System Architecture Analytics 103

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 293

Software Review Tools Off-The-Shelf Technical Review 293

CIO

OCTOBER 13, 2023

The data architect also “provides a standard common business vocabulary, expresses strategic requirements, outlines high-level integrated designs to meet those requirements, and aligns with enterprise strategy and related business architecture,” according to DAMA International’s Data Management Body of Knowledge.

Data 307

Data Database Administration Data Engineering Artificial Inteligence 307

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

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 239

Artificial Inteligence Data Artificial Intelligence Analytics 239

Cloudera

SEPTEMBER 6, 2022

Data has continued to grow both in scale and in importance through this period, and today telecommunications companies are increasingly seeing data architecture as an independent organizational challenge, not merely an item on an IT checklist. Why telco should consider modern data architecture. The challenges.

Telecommunications 84

Telecommunications Architecture Data Government 84

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

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

Altexsoft

AUGUST 29, 2023

In 2010, a transformative concept took root in the realm of data storage and analytics — a data lake. This article explains what a data lake is, its architecture, and diverse use cases. This flexibility makes it easier to accommodate various data types and analytics needs as they evolve over time. What is a data lake?

Architecture 52

Architecture Data Storage Machine Learning 52

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. Cisco has multiple reference architectures for running Ozone.

Storage 70

Storage Performance Hardware Architecture 70

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

Cloudera

JUNE 27, 2023

The way to achieve this balance is by moving to a modern data architecture (MDA) that makes it easier to manage, integrate, and govern large volumes of distributed data. When you deploy a platform that supports MDA you can consolidate other systems, like legacy data mediation and disparate data storage solutions.

Architecture 62

Architecture Data Government Machine Learning 62

CIO

JANUARY 20, 2023

In particular, companies that were leaders at using data and analytics had three times higher improvement in revenues, were nearly three times more likely to report shorter times to market for new products and services, and were over twice as likely to report improvement in customer satisfaction, profits, and operational efficiency.

Data 300

Data Compliance Architecture Technical Review 300

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. “Users didn’t know how to organize their tools and systems to produce reliable data products.”

Tools 214

Tools Data Weak Development Team Big Data 214

Altexsoft

MAY 12, 2023

We will discuss the different data types, storage and management options, and various techniques and tools for unstructured data analysis. Whether it’s human- or machine-generated, unstructured data is challenging to handle, as it typically requires advanced techniques and tools to extract meaningful insights.

Examples 59

Examples Tools Data Artificial Inteligence 59

CIO

JANUARY 24, 2024

The symphony of variation: Exploring types and architectures of Agent Swarms Within the domain of intelligent automation, Agent Swarms exhibit a wide array of diversity and intricacy, mirroring the breadth of tasks they are engineered to tackle. Layered architecture is a commonly used pattern.

Artificial Inteligence 231

Artificial Inteligence Architecture Artificial Intelligence Machine Learning 231

CIO

OCTOBER 19, 2023

The growing volume of data is a concern, as 20% of enterprises surveyed by IDG are drawing from 1000 or more sources to feed their analytics systems. Enterprises can harness the power of continuous information flow by lessening the gap between traditional architecture and dynamic data streams. The complexity doesn’t end here.

Data 293

Data Scalability Serverless Enterprise 293

Altexsoft

APRIL 23, 2019

And these data channels serve as a pair of eyes for executives, supplying them with the analytical information of what is going on with a business and the market. You will learn how to set up a business intelligence strategy and integrate tools into your company workflow. ETL (Extract, Transform, Load) or data integration tools.

Business Intelligence 93

Business Intelligence Analytics Tools Strategy 93

CIO

MARCH 8, 2023

The rise of artificial intelligence (AI), machine learning (ML), and real-time analytics applications, often deployed at the edge, can utilize HPC resources to unlock insights from data and efficiently run increasingly large and more complex models and simulations. Evaluate the HPE GreenLake for HPC model.

Performance 210

Performance Artificial Inteligence Storage Systems Review 210

Cloudera

SEPTEMBER 24, 2021

One of the most substantial big data workloads over the past fifteen years has been in the domain of telecom network analytics. Advanced predictive analytics technologies were scaling up, and streaming analytics was allowing on-the-fly or data-in-motion analysis that created more options for the data architect.

Analytics 94

Analytics Network Innovation IoT 94

Altexsoft

APRIL 16, 2021

used for analytical purposes to understand how our business is running. In this article, we’ll talk about such a solution —- Online Analytical Processing , or OLAP technology. What is OLAP: Online Analytical Processing. This could be a transactional database or any other storage we take data from. Analytical interface.

Analytics 98

Analytics Analysis Storage Business Intelligence 98

CIO

JANUARY 31, 2024

Use more efficient processes and architectures Boris Gamazaychikov, senior manager of emissions reduction at SaaS provider Salesforce, recommends using specialized AI models to reduce the power needed to train them. “Is AWS also has models to reduce data processing and storage, and tools to “right size” infrastructure for AI application.

Sustainability 281

Sustainability Data Center Artificial Intelligence Artificial Inteligence 281

Datavail

JULY 27, 2021

Whether you’re a tiny startup or a massive Fortune 500 firm, cloud analytics has become a business best practice. A 2018 survey by MicroStrategy found that 39 percent of organizations are now running their analytics in the cloud, while another 45 percent are using analytics both in the cloud and on-premises.

Azure 98

Azure Analytics Cloud Company 98

Zensar

FEBRUARY 18, 2020

The sheer breadth of problems that analytics has already solved and promises to solve in the future has driven organizations to invest increasingly in data & analytics initiatives. From my experience of designing and implementing architectures, the most important consideration is business objective. Implementation timeline.

Architecture 40

Architecture Analytics Sustainability System Architecture 40

CIO

NOVEMBER 2, 2023

He and other industry observers and IT leaders note, however, that an abundance of tools, managed services, and platforms are giving CIOs greater visibility into cloud costs and that alone is helping to lower the bills. After some time, people have understood the storage needs better based on usage and preventing data extract fees.”

Strategy 304

Strategy Cloud Data Center Generative AI 304

Apiumhub

MARCH 16, 2021

In this article we will talk about Business Intelligence tools, benefits & use cases. . It has become a necessary tool in the era of big data. It has become a necessary tool in the era of big data. Online analytical processing. Predictive analytics. Prescriptive analytics. Business Intelligence tools.

Business Intelligence 117

Business Intelligence Tools Artificial Inteligence Technical Review 117

Altexsoft

DECEMBER 9, 2020

Still, today, according to Deloitte research, insight-driven companies are fewer than those not using an analytical approach to decision-making, even though the majority agrees on its importance. What is analytics maturity model? They also serve as a guide in the analytics transformation process. Stages of analytics maturity.

Analytics 102

Analytics Technical Review Technology Applications 102

Altexsoft

SEPTEMBER 23, 2021

Because it is scattered across disparate systems, hardly available for analytical apps. Evidently, common storage solutions fail to provide a unified data view and meet the needs of companies for seamless data flow. Data hubs are often opposed to data warehouses and data lakes as different approaches to a data platform architecture.

Architecture 52

Architecture Data Storage IoT 52

Altexsoft

SEPTEMBER 21, 2023

What if we told you that one of the world’s most powerful search and analytics engines started with the humble goal of organizing a culinary enthusiast’s growing list of recipes? First publicly introduced in 2010, Elasticsearch is an advanced, open-source search and analytics engine that also functions as a NoSQL database.

Weak Development Team 52

Weak Development Team Analytics Engineering Development Team Review 52

Perficient

MARCH 19, 2024

BigQuery’s serverless architecture lets you use SQL queries to answer your organization’s biggest questions with zero infrastructure management. BigQuery maximizes flexibility by separating the compute engine that analyzes your data from your storage choices. What data visualization tools should I use?

Data 111

Data Google Cloud Analytics Serverless 111

CIO

DECEMBER 22, 2023

Skills: Skills for this role include knowledge of application architecture, automation, ITSM, governance, security, and leadership. With 65% of IT decision-makers choosing cloud-based services by default when upgrading technology, cloud architects will only become more important for enterprise success.

Cloud 285

Cloud Company Disaster Recovery Software Engineering 285

Infinidat

MAY 23, 2023

All of these features are an inherent part of InfuzeOS™, our core operating system that is the driving force at the heart of all our storage devices - the InfiniBox® and InfiniBox™ SSA primary storage solutions, as well as the InfiniGuard® secondary storage platforms.

Storage 54

Storage Machine Learning Artificial Inteligence Backup 54

CIO

SEPTEMBER 26, 2023

1 Just as GenAI-powered tools like ChatGPT promise to accelerate insights and processes in increasingly complex business environments, AIOps does the same for IT as infrastructure and application architecture scales and gets more complex across core, edge, co-location, and multicloud environments. and/or its affiliates in the U.S.

Artificial Inteligence 320

Artificial Inteligence Artificial Intelligence Sustainability Systems Administration 320

CIO

MAY 24, 2023

Yet, as organizations transform, CIOs and their teams are being asked to manage the optimal mix of infrastructure, platform, software, database, storage, and more to meet these new strategic objectives—while also creating sustained value and positioning the organization for the future. The challenge? hyperscale, private cloud).

Business Transformation 224

Business Transformation Strategy Infrastructure Software Review 224

Altexsoft

NOVEMBER 10, 2021

A data lakehouse , as the name suggests, is a new data architecture that merges data warehouse and data lake into a single whole, aiming at addressing each one’s limitations. In a nutshell, the lakehouse system leverages low-cost storage to keep large volumes of data in its raw formats just like data lakes. What is a data lakehouse?

Architecture 52

Architecture Data Storage Machine Learning 52