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 84

Cloud Data Architecture Operating System 84

Hu's Place - HitachiVantara

JANUARY 3, 2019

More focus will be on the operational aspects of data rather than the fundamentals of capturing, storing and protecting data. Meta data will be key, and companies will look to object based storage systems to create a data fabric as a foundation for building large scale flow based data systems.

Trends 86

Trends Artificial Inteligence Data Center Machine Learning 86

OTS Solutions

DECEMBER 4, 2023

Private cloud architecture is an increasingly popular approach to cloud computing that offers organizations greater control, security, and customization over their cloud infrastructure. What is Private Cloud Architecture? Why is Private Cloud Architecture important for Businesses?

Architecture 130

Architecture Cloud Disaster Recovery Scalability 130

Linux Academy

JANUARY 26, 2019

Cloud computing is not just about having virtual servers in an off-premises data center. When he saw the costs of the infrastructure, networking, and other cloud resources he asked, “Why would we ever do anything in our own data center again?”.

Cloud 60

Cloud Artificial Inteligence Data Center Artificial Intelligence 60

Cloudera

SEPTEMBER 30, 2022

These use cases range from event-driven object store processing, microservices that power serverless web applications, to IoT data processing, asynchronous API gateway request processing, batch file processing, and job automation with cron/timer scheduling. automate the handling of support tickets in a call center).

Serverless 73

Serverless Microservices Lambda IoT 73

Cloudera

AUGUST 22, 2021

And yet, we are only barely scratching the surface of what we can do with newer spaces like Internet of Things (IoT), 5G and Machine Learning (ML)/Artificial Intelligence (AI) which are enabled by cloud. Cloud-enabled use cases like IoT and ML/AI are being used at scale by customers across APAC. . That sounds painful!

Cloud 103

Cloud Artificial Inteligence CTO Coach Strategy 103

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. M ost spend more than 70% of the data and analytics budget o n data warehousing, data lake s, management, and storage.

Infrastructure 64

Infrastructure Data Retail Analytics 64

Altexsoft

AUGUST 12, 2020

IoT solutions have become a regular part of our lives. A door automatically opens, a coffee machine starts grounding beans to make a perfect cup of espresso while you receive analytical reports based on fresh data from sensors miles away. This article describes IoT through its architecture, layer to layer.

IoT 140

IoT Architecture Wireless Transportation 140

Zayo

JANUARY 29, 2020

The amount of information and data being created is tremendous — more than 75 billion devices are expected to be connected to the Internet by 2025. We’re talking about IoT, smart cities, connected vehicles, remote robotics and more. What will the architecture of the future look like? All four wireless carriers in the U.S.

Wireless 98

Wireless Infrastructure Network Mobile 98

Trigent

MARCH 24, 2021

IoT devices, APIs, mobile applications, and digital users have increased, generating an exponentially large amount of data that is impossible to track manually. They are expected to take on more responsibility as networks and architectures continue to get more complex. AIOps will drive the new normal.

Artificial Inteligence 52

Artificial Inteligence Artificial Intelligence Machine Learning Infrastructure 52

Trigent

MARCH 24, 2021

IoT devices, APIs, mobile applications, and digital users have increased, generating an exponentially large amount of data that is impossible to track manually. They are expected to take on more responsibility as networks and architectures continue to get more complex. AIOps will drive the new normal.

Artificial Inteligence 52

Artificial Inteligence Artificial Intelligence Machine Learning Technical Review 52

OTS Solutions

JUNE 16, 2023

For example, cloud computing, artificial intelligence, and the Internet of Things (IoT) have the potential to transform how companies operate and deliver services to their applications, businesses can leverage these technologies to improve efficiency and stay competitive.

Artificial Inteligence 130

Artificial Inteligence How To Technical Review Software Review 130

Mobilunity

MAY 20, 2021

For example, everyone has cloud storage available on their smartphones or connected to their Google account. For example, they can create custom applications, help with the migration of existing data, and manage and support cloud architectures. Nowadays, it is used both by individuals and enterprises. rate each year.

Engineering 52

Engineering Cloud Google Cloud Azure 52

OTS Solutions

JUNE 16, 2023

For example, cloud computing, artificial intelligence, and the Internet of Things (IoT) have the potential to transform how companies operate and deliver services to their applications, businesses can leverage these technologies to improve efficiency and stay competitive.

Artificial Inteligence 130

Artificial Inteligence How To Technical Review Software Review 130

Zayo

JANUARY 30, 2019

With the proliferation of new technology, including AI, IoT, 5G and blockchain, enterprises have more data and workloads to manage than ever before. Enterprises often use AWS for storage and computing large data sets, Azure for its open development platform and GCP for detailed data analytics, AI and machine learning applications.

Trends 40

Trends Cloud Wireless Azure 40

Cloudera

AUGUST 30, 2018

Consider the following practices that, until recently, were relegated to the R&D department: Data-driven decision making – the collection and analysis of data to guide decisions that improve success. Complicating matters is the increasing focus on data protection and the far-reaching implications of IoT (e.g.

Enterprise 40

Enterprise Machine Learning Artificial Inteligence Budget 40

Cloudera

SEPTEMBER 5, 2018

While the Internet of Things (IoT) represents a significant opportunity, IoT architectures are often rigid, complex to implement, costly, and create a multitude of challenges for organizations. An Open, Modular Architecture for IoT.

IoT 47

IoT Architecture Machine Learning Artificial Inteligence 47

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

OTS Solutions

FEBRUARY 16, 2023

Cloud computing can be defined as storing and accessing data over the internet and not on a personal computer. It is a shared pool that is made up of two words cloud and computing where cloud is a vast storage space and computing means the use of computers. These clouds can be of several types.

Cloud 130

Cloud Artificial Inteligence Disaster Recovery Internet 130

Altexsoft

JANUARY 22, 2020

Similar to a real world stream of water, continuous transition of data received the name streaming , and now it exists in different forms. Media streaming is one of them, but it’s only a visible part of an iceberg where data streaming is used. As a result, it became possible to provide real-time analytics by processing streamed data.

Analytics 20

Analytics Data IoT Analysis 20

d2iq

JANUARY 23, 2023

We have entered the next phase of the digital revolution in which the data center has stretched to the edge of the network and where myriad Internet of Things (IoT) devices gather and process data with the aid of artificial intelligence (AI).As Gartner also sees the distributed enterprise driving computing to the edge.

Artificial Inteligence 69

Artificial Inteligence Artificial Intelligence IoT Data Center 69

Altexsoft

MARCH 30, 2020

But such improvements require significant investments in IT infrastructure and expertise — namely, in industrial IoT (IIOT) sensors, analytics software with machine learning capabilities, services of data scientists and IT specialists, staff training. Example of a CMMS dashboard with data on maintenance KPIs. chemical content.

Artificial Inteligence 72

Artificial Inteligence Machine Learning Technical Review IoT 72

Altexsoft

MARCH 31, 2020

It means you must collect transactional data and move it from the database that supports transactions to another system that can handle large volumes of data. And, as is common, to transform it before loading to another storage system. But how do you move data? Origin is the point of data entry in a data pipeline.

Data 76

Data Storage Analytics Data Center 76

Altexsoft

JULY 9, 2021

manufacturing — generate so much data that it causes traffic jams on the route to the servers. The elegant solution to this challenge is shifting some tasks from powerful, but remote data centers to smaller processors at the edge, or in direct proximity to IoT devices. Edge computing architecture.

IoT 59

IoT Azure Hardware USP 59

Cloudera

SEPTEMBER 15, 2023

This information is essential for the management of the telco business, from fault resolution to making sure families have the right content package for their needs, to supply chain dashboards for businesses based on IoT data. Access and the exchange of data is critical for managing the operations in many industries.

Telecommunications 78

Telecommunications AWS Strategy Data 78

Altexsoft

JULY 18, 2023

These seemingly unrelated terms unite within the sphere of big data, representing a processing engine that is both enduring and powerfully effective — Apache Spark. With the rise of IoT and real-time data needs, Apache Spark’s streaming component has gained prominence. Apache Spark architecture in a nutshell.

Weak Development Team 52

Weak Development Team Big Data Data Machine Learning 52

Hu's Place - HitachiVantara

MARCH 4, 2019

Ten years ago, in 2009, Cisco introduced the Unified Computing System ( UCS ), a data center server computer product line composed of computing hardware, virtualization support, switching fabric, storage, and management software.

Infrastructure 49

Infrastructure Artificial Inteligence Storage Data Center 49

Openxcell

MAY 12, 2023

Besides IaaS and PaaS, Google Cloud Platform provides serverless options, including computation, databases, storage, networking options, and database management. Computing, data analytics, data storage, networking, the Internet of Things, and machine learning are some of its well-known cloud services.

Google Cloud 52

Google Cloud Azure AWS Cloud 52

Hu's Place - HitachiVantara

FEBRUARY 15, 2019

Hybrid clouds become a battleground with Amazon Outpost delivering an on-premise server rack to deliver AWS cloud, and IBM acquiring Redhat to increase their relevance in the data center. There are three major areas of support Cloud gate way for block, file and object storage with HNAS and HCP.

Cloud 49

Cloud AWS Azure Data Center 49

Cloudera

JUNE 25, 2019

This demo highlighted powerful capabilities like Adaptive Scaling, Cloud Bursting, and Intelligent Migration that make running data management, data warehousing, and machine learning across public clouds and enterprise data centers easier, faster and safer. Overwhelmed by new data – images, video, sensor and IoT.

Enterprise 87

Enterprise Cloud Data Data Center 87

Altexsoft

OCTOBER 21, 2022

The number of possible applications tends to grow due to the rise of IoT , Big Data analytics , streaming media, smart manufacturing, predictive maintenance , and other data-intensive technologies. Kafka architecture. Kafka cluster architecture. Or stay here to make sense of Kafka’s concepts and structure.

Weak Development Team 93

Weak Development Team Technical Review Systems Review Software Review 93

Altexsoft

JUNE 25, 2019

It’s necessary to figure out how to get sales data from its dedicated database talk with inventory records kept in a SQL server , for instance. This creates the necessity for integrating data in unified storage where data is collected, reformatted, and ready for use – data warehouse. Data warehouse storage.

Data Engineering 106

Data Engineering Engineering Data Artificial Inteligence 106

CTOvision

DECEMBER 15, 2014

The products are connected to the Internet and the data they generate is easily available. 3-D printing is known by many names; depending upon the context, the term may also be referred to as rapid prototyping, stereolighography, architectural modeling or additive manufacturing. 3D Printing Design & Implementation.

Security 120

Security Government Technology Artificial Intelligence 120

Altexsoft

JUNE 20, 2019

In relational DBMS, the data appears as tables of rows and columns with a strict structure and clear dependencies. Due to the integrated structure and data storage system, SQL databases don’t require much engineering effort to make them well-protected. Simple data access, storage, input, and retrieval.

Systems Review 85

Systems Review System Software Review Open Source 85

Actian

DECEMBER 19, 2018

It’s indisputable that Edge Intelligence will grow, whether that’s mobile applications running on Smartphones, IoT applications running in Smart Cars (or the underlying sensors), in the entertainment center, navigation systems, etc. A superior way to securely manage data at the Edge.

IoT 40

IoT Linux Mobile Open Source 40

Altexsoft

FEBRUARY 24, 2023

Each pod, in turn, holds a container or several containers with common storage and networking resources which together make a single microservice. Learn more about Docker architecture, advantages, and alternatives from our article The Good and the Bad of Docker Containers.

Weak Development Team 83

Weak Development Team Load Balancer Technical Review Microservices 83

Altexsoft

JUNE 7, 2021

Apache Hadoop is an open-source framework written in Java for distributed storage and processing of huge datasets. The keyword here is distributed since the data quantities in question are too large to be accommodated and analyzed by a single computer. Virtually, Hadoop puts no limits on the storage capacity. What is Hadoop.

Big Data 98

Big Data Tools Data Storage 98