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 271

Machine Learning Artificial Inteligence Data Architecture 271

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

OCTOBER 19, 2023

To tackle this, enterprises need systems that enable real-time analysis, aggregation, and transformation of incoming data streams. 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 315

Data Scalability Serverless Enterprise 315

CIO

FEBRUARY 12, 2024

By: Scott Sellers , Co-Founder and CEO, Azul From the get-go, the cloud promised to help companies scale up their architectures in seconds, run their applications faster, never turn away a transaction, and save money through economies of scale. Cloud Computing, Cloud Storage

Cloud 287

Cloud Survey Resources Hardware 287

Infinidat

FEBRUARY 22, 2023

The Hot Trend − Security and Enterprise Storage Together Adriana Andronescu Thu, 02/23/2023 - 02:00 Cybersecurity and cyber storage resilience are usually treated separately in the enterprise. This exposes a huge gap in creating a comprehensive enterprise cybersecurity strategy. The debate about it is over. Now is the time for action.

Storage 52

Storage Trends Enterprise Malware 52

CTOvision

AUGUST 25, 2014

Leading organizations are changing the way they think about data with an enterprise data hub and driving everyday decisions and actions, from fraud prevention to insider threat analysis to exploratory analytics, with new information and new insights. The following is from Cloudera: Bring More Analysis to Your Data. Rethink Analytics.

Analysis 98

Analysis Architecture Data Big Data 98

CIO

APRIL 26, 2024

Under the hood, OneTru’s data management layer, identity layer, analysis layer, and delivery layer leverage a robust data governance framework and standard access control to ensure legal and regulatory compliance and auditability, Achanta says.

Artificial Inteligence 254

Artificial Inteligence Generative AI Machine Learning Analytics 254

CIO

DECEMBER 22, 2023

Skills: Skills for this role include knowledge of application architecture, automation, ITSM, governance, security, and leadership. Data has become a primary way for businesses to conduct analysis and assist with business decision-making — and most of that data is now stored in the cloud.

Cloud 316

Cloud Company Disaster Recovery Software Engineering 316

Data Virtualization

JANUARY 19, 2023

The post Modernizing Data Analytics Architecture with the Denodo Platform on Azure appeared first on Data Virtualization blog - Data Integration and Modern Data Management Articles, Analysis and Information. Unfortunately, with data spread.

Azure 52

Azure Architecture Analytics Data 52

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

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. 2] Dell Technologies, Advancing Sustainability. [3]

Sustainability 307

Sustainability Data Center Technical Review Energy 307

CIO

MARCH 24, 2023

To counter that, BARC recommends starting with a manageable or application-specific prototype project and then expanding across the company based on lessons learned.

Government 357

Government Data Technical Review Policies 357

Apiumhub

MARCH 9, 2021

In information technology, data architecture is composed of models, policies, rules or standards that govern which data is collected, and how it is stored, arranged, integrated, and put to use in data systems and in organizations. What is Data Architecture. Data architecture components. Responsibilities of a Data Architect.

Architecture 52

Architecture Data Artificial Inteligence Artificial Intelligence 52

Xebia

AUGUST 17, 2023

In my recent endeavor, I explored a seamless integration of serverless architecture with the power of generative AI to auto-caption images on Google Cloud Platform (GCP). TL;DR We’ve built an automated, serverless system on Google Cloud Platform where: Users upload images to a Google Cloud Storage Bucket. The result?

Generative AI 130

Generative AI Serverless Google Cloud Technical Review 130

Infinidat

JUNE 22, 2023

Based on its analysis, IDC created a model that expresses the business value and costs of utilizing the InfiniBox platform. The outcome of this business value analysis is powerfully compelling for any enterprise looking to purchase storage, especially today in these uncertain economic times. for each organization surveyed!

Storage 98

Storage Analysis Infrastructure Budget 98

Infinidat

JUNE 28, 2019

The Myths and Realities of Software-Defined Storage. Software-Defined Storage (SDS) is not a new technology; it is a go-to-market strategy that decouples storage hardware from storage software purchases. Whether SDS becomes a significant share of the secondary storage market remains to be determined.

Storage 77

Storage Software Hardware Infrastructure 77

TechCrunch

DECEMBER 14, 2021

Spatial analysis platform Carto has raised a $61 million Series C round. Carto provides connectors with databases (PostgreSQL, MySQL or Microsoft SQL Server), cloud storage services (Dropbox, Box or Google Drive) or data warehouses (Amazon Redshift, Google BigQuery or Snowflake). Insight Partners is leading today’s round.

Data 234

Data Telecommunications Transportation Analysis 234

CIO

DECEMBER 7, 2022

However, many organizations simply don’t have the resources or the expertise to build or manage the complex distributed systems required for effective edge computing delivery, a distributed computing paradigm that brings computation and data storage closer to the sources of data.

Technical Review 208

Technical Review IoT Systems Review Software Review 208

CIO

AUGUST 2, 2023

Sovereign cloud provides a modern architecture to make changes as needed for compliance quickly, backed by local experts to provide guidance. Sovereign clouds are ideally part of a multi-cloud infrastructure that also includes public clouds for storage of non-sensitive data.

Mobile 227

Mobile Data Technical Review Compliance 227

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

AWS Machine Learning - AI

FEBRUARY 26, 2024

Large Language Models (LLMs) have revolutionized the field of natural language processing (NLP), improving tasks such as language translation, text summarization, and sentiment analysis. A modular architecture, where each module can intake model inference data and produce its own metrics, is necessary.

Artificial Inteligence 108

Artificial Inteligence AWS Lambda Metrics 108

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 255

Business Transformation Strategy Infrastructure Software Review 255

CIO

DECEMBER 5, 2023

West Monroe’s Tanowitz agrees, saying, “There’s cloud spend where immature governance approaches have resulted in excess consumption that can be reduced when a holistic cloud architecture approach is taken.” With storage you might always want the best support plan to replace any failed components within a few hours or less,” says Pratt.

Technical Review 344

Technical Review Fractional CTO Budget Software Review 344

Hu's Place - HitachiVantara

JANUARY 15, 2019

For lack of similar capabilities, some of our competitors began implying that we would no longer be focused on the innovative data infrastructure, storage and compute solutions that were the hallmark of Hitachi Data Systems. A REST API is built directly into our VSP storage controllers.

Systems Review 72

Systems Review Storage System Software Review 72

CIO

APRIL 24, 2023

Gunkel also cited Google’s Looker and Big Query BI data analysis tools and its Chronicle security operations suite as important for enabling the university to operate a wide variety of applications and research on the cloud. As such, migrating to the cloud alone was not part of Gunkel’s plan. This is a ‘teach us to fish’ model.

Research 130

Research Cloud Fractional CTO Data Center 130

Perficient

MARCH 19, 2024

If you have built or are building a Data Lake on the Google Cloud Platform (GCP) and BigQuery you already know that BigQuery is a fully managed enterprise data warehouse that helps you manage and analyze your data with built-in features like machine learning, geospatial analysis, and business intelligence.

Data 111

Data Google Cloud Analytics Serverless 111

CIO

JUNE 7, 2023

You’ve created the right architecture to collect and store your data and the best way to keep costs low is to leverage what you have. The solution to a storage cost problem is not adding more storage; it’s finding ways to process your data in place. This requires a high-performance database that can bring ML to the data.

Organization 130

Organization Artificial Inteligence Open Source Architecture 130

CIO

AUGUST 9, 2022

Data engineers design, build, and optimize systems for data collection, storage, access, and analytics at scale. Data engineers are responsible for developing, testing, and maintaining data pipelines and data architectures. What is a data engineer? Data engineer vs. data architect.

Data Engineering 320

Data Engineering Analytics Engineering Data 320

Altexsoft

JULY 19, 2022

In the last few decades, we’ve seen a lot of architectural approaches to building data pipelines , changing one another and promising better and easier ways of deriving insights from information. They are: domain-oriented decentralized data ownership and architecture, data as a product, self-serve data infrastructure as a service, and.

Architecture 52

Architecture Data Analytics Data Engineering 52

Xebia

JANUARY 19, 2023

The following quotes date back to those years: Data Engineers set up and operate the organization’s data infrastructure, preparing it for further analysis by data analysts and scientist. The data engineer is also expected to create agile data architectures that evolve as new trends emerge.

Data Engineering 130

Data Engineering Engineering Data Technical Review 130

Infinidat

NOVEMBER 9, 2023

Unlocking Seamless Enterprise Data Management: A Dive into the Infinidat Professional Services Team Adriana Andronescu Thu, 11/09/2023 - 09:07 In the ever-evolving landscape of enterprise data storage solutions, what truly sets a company apart is not just the technology it offers, but the way it serves its customers.

Enterprise 60

Enterprise Data Storage Analysis 60

CIO

DECEMBER 6, 2022

However, many organizations simply don’t have the resources or the expertise to build or manage the complex distributed systems required for effective edge computing delivery, a distributed computing paradigm that brings computation and data storage closer to the sources of data.

Technical Review 147

Technical Review IoT Systems Review Software Review 147

TechCrunch

AUGUST 25, 2022

” “The legacy videoconferencing players are struggling to innovate across the disruptive shift from client-based messaging architectures to low-latency, hardware-accelerated, cloud-based real-time AI on real-time communication streams,” Green said via email. “There has been a slow rollout of AI features (e.g.,

Software Review 247

Software Review Meeting Systems Review Technical Review 247

Infinidat

NOVEMBER 11, 2019

Treat Storage as Black Boxes to Optimize Infrastructure Designs. Gartner, with the publication of their 2019 Magic Quadrant for Primary Storage , which includes both Solid-State Arrays (a.k.a. Table 1 - Storage Array Product Attractiveness. . Drew Schlussel. Mon, 11/11/2019 - 9:42pm. See Table 2 below. ?.

Storage 40

Storage Infrastructure Architecture Disaster Recovery 40

Hu's Place - HitachiVantara

SEPTEMBER 4, 2018

Enterprise Storage Forum recently published their 2018 Storage Trends survey which made some interesting observations. The biggest challenges for IT and business leaders with operating their current storage infrastructure were aging equipment and lack of storage capacity. EB shipped in 1Q 2018. EB shipped in 1Q 2018.

Storage 53

Storage Performance IoT Machine Learning 53

CIO

AUGUST 25, 2022

Conduct a well-rounded analysis of the remote work needs of your organization. This needs to be a multidimensional review: Computational requirements Storage requirements (local, remote, and backup) Voice communication requirements Video communication requirements Security requirements Special access requirements (e.g.

Backup 225

Backup Guidelines Internet Hardware 225

TechCrunch

JULY 15, 2021

The company behind CockroachDB attempts to solve a long-standing problem in large-scale, distributed database architecture: How to make it so that data created in one place on the planet is always available for consumption by applications that are thousands of miles away, immediately and accurately.

Engineering 246

Engineering Open Source Storage Education 246