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

Cloudera

JUNE 13, 2023

In 2021, ANZ Bank unveiled its strategy to drive digital transformation, increase their speed to market and become more agile. Anthony Hua, Product Area Lead at ANZ said: “ The bank’s data growth is extraordinary, as is the demand to effectively store and manage our data across the group.

Analytics 76

Analytics Data Banking Big Data 76

OTS Solutions

JUNE 2, 2023

has been transforming the manufacturing sector through the integration of advanced technologies such as artificial intelligence, the Internet of Things, and big data analytics. and Big Data Analytics in Predictive Maintenance Industry 4.0 is also enabling the use of big data in predictive maintenance.

Mobile 130

Mobile Artificial Inteligence Industry IoT 130

Cloudera

JANUARY 26, 2022

Modern, real-time businesses require accelerated cycles of innovation that are expensive and difficult to maintain with legacy data platforms. The hybrid cloud’s premise—two data architectures fused together—gives companies options to leverage those solutions and to address decision-making criteria, on a case-by-case basis. .

Cloud 83

Cloud Data Architecture Virtualization 83

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. The Dawn of Telco Big Data: 2007-2012. Suddenly, it was possible to build a data model of the network and create both a historical and predictive view of its behaviour.

Analytics 91

Analytics Network Innovation IoT 91

Capgemini

MAY 20, 2020

Retailers have long been hampered by their data infrastructures, first by structural limitations inherent in data warehouses and then the expense and lack of agility of newer big-data systems. Companies need to find ways to get this cost down while improving the quality of data. .

Infrastructure 64

Infrastructure Data Retail Analytics 64

Trigent

FEBRUARY 15, 2023

Big Data / Fast Data – Do I need both? Big data is the vast amounts of structured and unstructured data generated from customer interactions, IoT devices, social media, and more. Big data insights are used to identify market trends, determine value propositions, and influence product design.

Data 52

Data Insurance Technical Review Big Data 52

CTOvision

OCTOBER 27, 2014

The latest Palo Alto Networks VM-Series release provides organisations with the ability to realise the full agility and … Read more on Telecompaper (subscription). Big Data Product Watch 10/17/14: Big Three Make Big Moves. — dominated Big Data news this week, while the third, MapR Technologies Inc.,

Technical Review 103

Technical Review Technology Big Data Firewall 103

Cloudera

SEPTEMBER 9, 2021

Cloudera Machine Learning or Cloudera Data Warehouse), to deliver fast data and analytics to downstream components. Infrastructure cost optimization by converting a fixed cost structure that previously consisted of infrastructure and cloud subscription costs per node into a variable cost model in the cloud based on actual consumption.

Storage 92

Storage Azure Technical Review Database Administration 92

CTOvision

FEBRUARY 4, 2015

If you are into technology and government and want to find ways to enhance your ability to serve big missions you need to be at this event, 25 Feb at the Hilton McLean Tysons Corner. Big data and its effect on the transformative power of data analytics are undeniable. Enabling Business Results with Big Data.

Fractional CTO 134

Fractional CTO Technical Review Big Data Analytics 134

CTOvision

JANUARY 18, 2015

This popular gathering is designed to enable dialogue about business and technical strategies to leverage today’s big data platforms and applications to your advantage. Big data and its effect on the transformative power of data analytics are undeniable. Enabling Business Results with Big Data.

Fractional CTO 113

Fractional CTO Program Management Programming Big Data 113

Linux Academy

JANUARY 26, 2019

Compute- and storage-intensive applications find their way to the cloud because of the need to scale so large that on-premises data centers are simply no longer feasible. Statistics show that as many as 60% of all newly developed applications are deployed in public, private, or hybrid cloud infrastructures.

Cloud 60

Cloud Artificial Inteligence Data Center Artificial Intelligence 60

Cloudera

AUGUST 3, 2021

Toyota weathered the early chip shortage well with agile and robust supply chains, only to be caught with final assembly production shortages due to consumers rushing to their once robust availability. . providing real-time insights into inventory, replenishment and ultimately a distribution plan addressing customer demand.

Analytics 108

Analytics Open Source Government Machine Learning 108

Abhishek Tiwari

DECEMBER 22, 2017

Cheap storage and on-demand compute in the cloud coupled with the emergence of new big data frameworks and tools are forcing us to rethink the whole ETL and data warehousing architecture. When you execute a query against the data lake, data transformation are performed at run-time or in-memory.

Storage 40

Storage Big Data Google Cloud Analysis 40

CTOvision

AUGUST 25, 2014

You need to be prepared for this by choosing architectures that will be able to rapidly scale as use grows. Agility – Successful mobile experiences require rapid feedback loops. With that demand for agility comes a significant concern about how to handle rapid data model changes.

Mobile 105

Mobile Development Systems Review Technical Review 105

Trigent

MARCH 24, 2021

Integrating AI into IT operations or AIOps has empowered IT teams to perform complex tasks with ease and resolve agility issues in complex settings. Artificial intelligence, machine learning, big data have all been spoken about in great length and form the very backbone of Artificial Intelligence for IT operations or AIOps.

Artificial Inteligence 52

Artificial Inteligence Artificial Intelligence Machine Learning Infrastructure 52

Trigent

MARCH 24, 2021

Integrating AI into IT operations or AIOps has empowered IT teams to perform complex tasks with ease and resolve agility issues in complex settings. Artificial intelligence, machine learning, big data have all been spoken about in great length and form the very backbone of Artificial Intelligence for IT operations or AIOps.

Artificial Inteligence 52

Artificial Inteligence Artificial Intelligence Machine Learning Technical Review 52

Hu's Place - HitachiVantara

JANUARY 3, 2019

Public cloud, agile methodologies and devops, RESTful APIs, containers, analytics and machine learning are being adopted. More focus will be on the operational aspects of data rather than the fundamentals of capturing, storing and protecting data. Happy New Year and welcome to 2019, a year full of possibilities.

Trends 86

Trends Artificial Inteligence Data Center Machine Learning 86

RapidValue

AUGUST 4, 2020

There is an accumulation of outdated data like reports and log files. It requires setting up process and workflows, deep expertise, and the right data. Imperfect architecture design leads to applications that are poorly designed for cloud-based platforms. Minimize data transfer costs. Utilize Heatmaps.

Cloud 92

Cloud How To Azure AWS 92

O'Reilly Media - Data

SEPTEMBER 11, 2018

Containers want to be agile because that is the point of containers in the first place. First off, if your data is on a specialized storage appliance of some kind that lives in your data center, you have a boat anchor that is going to make it hard to move into the cloud. But there is a dark side here.

Big Data 150

Big Data Data Storage Software Review 150

Protera

JUNE 21, 2022

A global pandemic and geopolitical volatility have shown just how critical organizational agility and resilience are. Faster Data Processing. With big data at the core of how enterprises operate today, SAP S/4HANA’s data processing bandwidth and speed is a key upgrade from that of legacy SAP ERP systems.

Systems Review 52

Systems Review Cloud Enterprise Azure 52

Altexsoft

AUGUST 25, 2020

Big data can be quite a confusing concept to grasp. What to consider big data and what is not so big data? Big data is still data, of course. Big data is tons of mixed, unstructured information that keeps piling up at high speed. Data engineering vs big data engineering.

Big Data 75

Big Data Data Engineering Engineering Data 75

Cloudera

JULY 9, 2019

Today, much of that speed and efficiency relies on insights driven by big data. Yet big data management often serves as a stumbling block, because many businesses continue to struggle with how to best capture and analyze their data. Unorganized data presents another roadblock.

Big Data 77

Big Data Data Agile Enterprise 77

Altexsoft

JULY 4, 2022

The hardware layer includes everything you can touch — servers, data centers, storage devices, and personal computers. Agile and DevOps methodologies. More and more tech companies adopt agile and DevOps principles and practices which influence their infrastructure. Key components of IT infrastructure. Broad IT background.

Infrastructure 64

Infrastructure Engineering Technical Review Google Cloud 64

CTOvision

DECEMBER 11, 2015

The new gospel of agile development and continuous delivery is antithetical to the realities on the client side — an environment where waterfall methodologies prevail, and the need to define large-scale releases across year-long timeframes makes it very challenging to operate in an agile manner.

Government 61

Government DevOps Continuous Delivery Load Balancer 61

Openxcell

DECEMBER 22, 2021

Continuous testing in DevOps and DevSecOps has made the agile way of working more convenient because, unlike traditional testing, the code continuously moves from development to testing to deployment phases. Query surge is an advanced testing tool created primarily to automate the testing of Big Data and Data Warehouses.

DevOps 52

DevOps Testing Software Review Weak Development Team 52

Actian

JULY 26, 2019

A modernization project, done correctly can deliver compelling and predictable results to your organization including millions in cost savings, new analytics capabilities and greater agility. But how do you effectively go about choosing the right data warehouse to migrate to? The business benefits of data migration can be compelling.

Cloud 40

Cloud Data Analytics Case Study 40

Altexsoft

APRIL 13, 2023

Due to extensive usage of connected IoT devices and advanced processing technologies, SCCTs not only gather data and build operational reports but also create predictions, define the impact of various macro- and microeconomic factors on the supply chain, and run “what-if” scenarios to find the best course of action. into the digital twin.

Technical Review 59

Technical Review Software Review Analytics Systems Review 59

OTS Solutions

NOVEMBER 26, 2023

Furthermore, multi-cloud architecture enables seamless data management and integration, ensuring uninterrupted operations and enhancing the overall agility and competitiveness of businesses in today’s dynamic and fast-paced digital landscape. How can multi-cloud improve innovation, agility, and flexibility?

Strategy 130

Strategy Cloud Technical Review Development Team Review 130

CTOvision

MAY 24, 2016

has announced the launch of the Cray® Urika®-GX system -- the first agile analytics platform that fuses supercomputing technologies with an open, enterprise-ready software framework for big data analytics. The Cray Urika-GX system is designed to eliminate challenges of big data analytics.

Big Data 64

Big Data Analytics Agile System 64

RapidValue

SEPTEMBER 16, 2019

Advanced technologies like Big Data and Mobility have known to have fueled stronger growth in the cloud computing industry. Cloud optimization helps: To maximize the efficiency of your servers, storage, and databases. Categorization of data and selection of the appropriate level for their storage.

Cloud 14

Cloud Disaster Recovery Big Data Technical Review 14

OverOps

APRIL 23, 2019

This exhilaration was primarily driven by the idea that the cloud could revamp businesses because of its innovation, cost savings and agility. Many organizations committed themselves to move complete data center applications onto the public cloud. This transforms two distinct solutions into a single integrated architecture.

Cloud 189

Cloud Data Center Architecture AWS 189

Trigent

FEBRUARY 8, 2022

The importance of identifying the best Cloud architecture. Massive volumes of data consumed through multiple devices have forced the media industry to revisit how they manage content. Need help with identifying the best cloud architecture to accelerate content performance and increase revenue? Let’s talk.

Architecture 52

Architecture Cloud Media Video 52

Gorilla Logic

OCTOBER 2, 2019

Regardless of whether your goal is to simply track data and control devices, or you aim to combine IoT with big data, artificial intelligence (AI), and machine learning to create a truly connected enterprise and transform your business model, you’re likely to encounter challenges. Legacy architecture. Complexity.

UI/UX 9

UI/UX Artificial Inteligence Enterprise IoT 9

Cloudera

JANUARY 22, 2019

In conjunction with the evolving data ecosystem are demands by business for reliable, trustworthy, up-to-date data to enable real-time actionable insights. Big Data Fabric has emerged in response to modern data ecosystem challenges facing today’s enterprises. What is Big Data Fabric? Data access.

Big Data 44

Big Data Scalability Data Analytics 44

AWS Machine Learning - AI

FEBRUARY 1, 2024

The data sources may be PDF documents on a file system, data from a software as a service (SaaS) system like a CRM tool, or data from an existing wiki or knowledge base. This pattern achieves a statically stable architecture, which is a resiliency best practice. He also holds an MBA from Colorado State University.

Generative AI 108

Generative AI Disaster Recovery Artificial Inteligence AWS 108

Altexsoft

FEBRUARY 10, 2021

New approaches arise to speed up the transformation of raw data into useful insights. Similar to how DevOps once reshaped the software development landscape, another evolving methodology, DataOps, is currently changing Big Data analytics — and for the better. How DataOps relates to Agile, DevOps, and MLOps.

Analytics 75

Analytics DevOps Development Software Review 75