TechCrunch

JUNE 1, 2022

Essentially, Coralogix allows DevOps and other engineering teams a way to observe and analyze data streams before they get indexed and/or sent to storage, giving them more flexibility to query the data in different ways and glean more insights faster (and more cheaply because doing this pre-indexing results in less latency).

Analytics 246

Analytics DevOps Storage Business Intelligence 246

InfoWorld

MARCH 11, 2024

Their role transcends storage. It extends to processing complex transactions, enforcing business logic, and serving real-time analytical insights. [ Also on InfoWorld: Why SQL still rules ] Relational databases sit at the epicenter of this seismic shift.

Architecture 98

Architecture Storage Analytics Strategy 98

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

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 61

Architecture Data Government Machine Learning 61

CTOvision

DECEMBER 16, 2014

It is no secret that today’s data intensive analytics are stressing traditional storage systems. SSD) to bolster the performance of traditional storage platforms and support the ever-increasing IOPS and bandwidth requirements of their applications.

Storage 104

Storage Analytics System Data 104

Dell EMC

OCTOBER 14, 2020

As data teams continue to scale their Hadoop and analytics systems, the need increases for flexible compute and storage. To address these issues, many data teams pivot to architectures that allow for independent scaling of compute and storage in both Object and HDFS for Hadoop.

Analytics 100

Analytics Data Storage Architecture 100

Apiumhub

MARCH 23, 2021

The concept of Data lake architecture has recently become a hot topic. Data Lakes offer agile analytics to measure you are continually evolving business. Data lakes really became the cornerstones of modern big data architecture. A data lake provides centralized storage for the data of an enterprise or organization.

Architecture 52

Architecture Artificial Inteligence Data Machine Learning 52

CIO

OCTOBER 4, 2022

It’s yet another key piece of evidence showing that there is a tangible return on a data architecture that is cloud-based and modernized – or, as this new research puts it, “coherent.”. Data architecture coherence. The focus on a modern data architecture has never been clearer. more machine learning use casesacross the company.

Machine Learning 297

Machine Learning Artificial Inteligence Data Architecture 297

Actian

OCTOBER 24, 2019

When architecting your data warehouse solution, separating compute and data storage is extremely important for both operational sustainability and economic efficiency. Storage capacity is a function of time. Storage capacity is a function of time. Over time, the amount of data volume your company has will grow.

Storage 40

Storage Analytics Data Cloud 40

Cloudera

JUNE 13, 2023

Data and analytics are the essential engines in this strategy which entails upgrading the bank’s core banking technology to deliver reliable, efficient, and secure services for their customers while safeguarding critical data.

Analytics 76

Analytics Data Banking Big Data 76

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

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 90

Analytics Network Innovation IoT 90

CIO

OCTOBER 31, 2023

To help organizations better protect themselves against sophisticated cyber criminals, the National Institute of Standards and Technology (NIST) outlined a novel approach to security, called zero-trust architecture (ZTA). Critical infrastructure, such as servers and storage, are rarely locked up and often left unattended.

Data Center 312

Data Center Healthcare Infrastructure Architecture 312

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 325

Cloud Company Disaster Recovery Software Engineering 325

Cloudera

AUGUST 3, 2021

Advanced analytics empower risk reduction . Advanced analytics and enterprise data are empowering several overarching initiatives in supply chain risk reduction – improved visibility and transparency into all aspects of the supply chain balanced with data governance and security. . Improve Visibility within Supply Chains.

Analytics 107

Analytics Open Source Government Machine Learning 107

Infinidat

AUGUST 24, 2023

The Security of Enterprise Storage – A Call to Action for CISOs Adriana Andronescu Thu, 08/24/2023 - 04:51 Cyber criminals can infiltrate an enterprise infrastructure and stay there, undetected, for months at a time. They aren’t only attacking primary storage; they also attack secondary storage.

Security 52

Security Storage Enterprise Malware 52

CIO

JANUARY 9, 2023

In each case, they are taking strategic advantage of data generated at the edge, using artificial intelligence and cloud architecture. 2] Here, we explore the demands and opportunities of edge computing and how an approach to Business Outcomes-as-a-Service can provide end-to-end analytics with lowered operational risk.

IoT 317

IoT Technical Review Company Data 317

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 317

Data Scalability Serverless Enterprise 317

InfoWorld

MARCH 8, 2024

A data lakehouse is a data architecture that offers both storage and analytics capabilities, in contrast to the concepts for data lakes , which store data in native format, and data warehouses , which store structured data (often in SQL format).

Open Source 96

Open Source Tools Data Engineering Storage 96

CIO

NOVEMBER 2, 2023

After being in cloud and leveraging it better, we are able to manage compute and storage better ourselves,” said the CIO, who notes that vendors are not cutting costs on licenses or capacity but are offering more guidance and tools. He went with cloud provider Wasabi for those storage needs. “We

Strategy 351

Strategy Cloud Generative AI Data Center 351

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 337

Sustainability Data Center Artificial Intelligence Artificial Inteligence 337

CIO

AUGUST 2, 2023

A data and analytics capability cannot emerge from an IT or business strategy alone. Martha Heller: What are the business drivers behind the data architecture ecosystem you’re building at Thermo Fisher Scientific? The third and most complicated layer is architecture and governance, which we’ve linked together as one layer.

Data 246

Data Architecture Government Strategy 246

CIO

OCTOBER 23, 2023

With the paradigm shift from the on-premises data center to a decentralized edge infrastructure, companies are on a journey to build more flexible, scalable, distributed IT architectures, and they need experienced technology partners to support the transition.

Sustainability 317

Sustainability Data Center Technical Review Energy 317

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 264

Business Transformation Strategy Infrastructure Software Review 264

RapidValue

JUNE 26, 2020

Analytics is all about meaningful information at your fingertips. Reporting solutions in Oracle has gradually evolved from BI Publisher to OBIEE (Oracle Business Intelligence Enterprise Edition) both on premise and cloud visualization and now Oracle Analytics PaaS solution. Leveraging OAC & OADW for Agile Analytics.

Analytics 72

Analytics Cloud Technical Review Data 72

TechCrunch

SEPTEMBER 27, 2021

As more enterprises migrate to cloud-based architectures, they are also taking on more applications (because they can) and, as a result of that, more complex workloads and storage needs. Firebolt raises $127M more for its new approach to cheaper and more efficient Big Data analytics.

Artificial Inteligence 246

Artificial Inteligence Applications Cloud Artificial Intelligence 246

CIO

SEPTEMBER 7, 2023

CIOs are taking deliberate action by proactively matching workloads and applications with the ideal cloud, and companies are also seeing a proliferation of multi-cloud architectures created by mergers and acquisitions, data sovereignty needs, support for remote work, and shadow IT. The era of the multi-cloud landscape is here.

Enterprise 263

Enterprise Cloud Architecture Survey 263

CIO

MARCH 24, 2023

Meant specifically to support self-service analytics, TrustCheck attaches guidelines and rules to data assets. Alation Alation is an enterprise data catalog that automatically indexes data by source. One of its key capabilities, TrustCheck, provides real-time “guardrails” to workflows.

Government 357

Government Data Technical Review Policies 357

Cloudera

JULY 15, 2021

The release of Cloudera Data Platform (CDP) Private Cloud Base edition provides customers with a next generation hybrid cloud architecture. Best of CDH & HDP, with added analytic and platform features . The storage layer for CDP Private Cloud, including object storage. Introduction and Rationale.

Architecture 96

Architecture Cloud Data Technical Advisors 96

AWS Machine Learning - AI

FEBRUARY 26, 2024

Our proposed architecture provides a scalable and customizable solution for online LLM monitoring, enabling teams to tailor your monitoring solution to your specific use cases and requirements. A modular architecture, where each module can intake model inference data and produce its own metrics, is necessary.

Artificial Inteligence 107

Artificial Inteligence AWS Lambda Metrics 107

Mentormate

MAY 31, 2023

Some of the challenges that higher education institutions and their data analytics partners face are customized quality standards, the unstructured data hassle, and the need for more insights. The primary data sources used in eLumen Insights are on the left-hand side of the architecture.

Artificial Inteligence 98

Artificial Inteligence Machine Learning Education Analytics 98

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.

Data 111

Data Google Cloud Analytics Serverless 111

CIO

FEBRUARY 13, 2023

This includes spending on strengthening cybersecurity (35%), improving customer service (32%) and improving data analytics for real-time business intelligence and customer insight (30%). On-prem infrastructure will grow cold — with the exception of storage, Nardecchia says.

Budget 363

Budget Artificial Inteligence Technical Review VR 363

Infinidat

JANUARY 31, 2020

Talking with Infinidat Will Lower Your Storage Costs (even if you don’t become a customer). Negotiating competitive discounts with an incumbent storage vendor ultimately requires the availability of credible alternative solutions. Drew Schlussel. Fri, 01/31/2020 - 2:34pm. Negotiating More Cost-Effective Discounts.

Storage 78

Storage Technical Review Infrastructure Software Review 78

Infinidat

JANUARY 31, 2020

Talking with Infinidat Will Lower Your Storage Costs (even if you don’t become a customer). Negotiating competitive discounts with an incumbent storage vendor ultimately requires the availability of credible alternative solutions. Drew Schlussel. Fri, 01/31/2020 - 2:34pm. Negotiating More Cost-Effective Discounts.

Storage 78

Storage Technical Review Infrastructure Software Review 78

Openxcell

JANUARY 6, 2023

Just a few of the existing cloud services include servers, storage, databases, networking, software, analytics, and business intelligence. Cloud storage functions by allowing users to access and download data on any selected device, such as a laptop, tablet, or smartphone, via an Internet service connection. Public cloud.

Architecture 52

Architecture Cloud Storage Google Cloud 52

Xebia

JANUARY 19, 2023

The data engineer is also expected to create agile data architectures that evolve as new trends emerge. Building architectures that optimize performance and cost at a high level is no longer enough. The best data engineers view their responsibilities through business and technical lenses.

Data Engineering 130

Data Engineering Engineering Data Technical Review 130