Cloudera

JANUARY 26, 2022

Network operating systems let computers communicate with each other; and data storage grew—a 5MB hard drive was considered limitless in 1983 (when compared to a magnetic drum with memory capacity of 10 kB from the 1960s). The amount of data being collected grew, and the first data warehouses were developed.

Cloud 88

Cloud Data Architecture Operating System 88

Hu's Place - HitachiVantara

APRIL 11, 2019

Few Data Management Frameworks are Business Focused Data management has been around since the beginning of IT, and a lot of technology has been focused on big data deployments, governance, best practices, tools, etc. However, large data hubs over the last 25 years (e.g., What has changed since then?

Data Engineering 81

Data Engineering Machine Learning Artificial Inteligence Technical Review 81

Altexsoft

AUGUST 29, 2023

In 2010, a transformative concept took root in the realm of data storage and analytics — a data lake. The term was coined by James Dixon , Back-End Java, Data, and Business Intelligence Engineer, and it started a new era in how organizations could store, manage, and analyze their data. Who needs a data lake?

Architecture 52

Architecture Data Storage Machine Learning 52

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

Trigent

SEPTEMBER 20, 2023

The rapid proliferation of Artificial Intelligence (AI) and the Internet of Things (IoT) enables InsurTechs to offer personalized and cost-effective coverage options based on their driving behaviors and vehicle usage patterns. This will help foster trust, especially when voluminous data is collected via IoT devices, sensors, and apps.

Insurance 52

Insurance Policies Technical Review Systems Review 52

OTS Solutions

MAY 2, 2023

Digital transformation enables business models and revenue streams to enhance operational efficiency and agility and improves customer engagement and loyalty. Internet of Things (IoT): The Internet of Things has become important in digital transformation. Benefits of Digital Transformation 1.

Artificial Inteligence 130

Artificial Inteligence Artificial Intelligence Machine Learning Blockchain 130

Hu's Place - HitachiVantara

OCTOBER 4, 2018

State of Andhra Pradesh(India) for Excellence in IoT, forproviding agile and efficient Real Time Governance (RTG) public services to their 50 million citizens with the help of Hitachi to analyze big data sets gathered from various sources to make insightful decisions.

Innovation 53

Innovation IoT Big Data Video 53

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. Consumers will soon go beyond smartphones and tablets and start using wearables, connected cars, and other IoT devices more than ever before.

Cloud 60

Cloud Artificial Inteligence Data Center Artificial Intelligence 60

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

Trigent

JUNE 26, 2023

” However, there are challenges on the road to EHR adoption while transitioning from the document-based storage system to EHR. IoT (Internet of Things) facilitates on-demand health monitoring through wearables and connected devices to monitor vital health signs, send alerts, and predict outcomes. So, let’s dive in.

Healthcare 52

Healthcare Technical Review Innovation VR 52

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

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

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 109

Analytics Open Source Government Machine Learning 109

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

Actian

AUGUST 19, 2019

IoT devices create plenty of data – much more that you might think. When you multiply this amount of data by the number of devices installed in your company’s IT ecosystem, it is apparent IoT is a truly big data challenge. Why would you move IoT data to the cloud?

IoT 8

IoT Cloud Data Analytics 8

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

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 78

Big Data Data Agile Enterprise 78

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.

Technical Review 59

Technical Review Software Review Analytics Systems Review 59

Gorilla Logic

OCTOBER 2, 2019

For many businesses, IoT has rapidly become a powerful “weapon of mass disruption.” It might not surprise you to learn that, just 26% of all IoT initiatives succeed. . Here are four strategies you can adopt to greatly increase the odds of success for your IoT or IoT-enabled connected enterprise project. Start small.

UI/UX 9

UI/UX Artificial Inteligence Enterprise IoT 9

Strategy Driven

MARCH 30, 2020

Hence, LNG is bound to revolutionize fuel shipping and storage. Companies will have to become more agile, automated, and data-driven in order to survive. Big data, for example, should work wonders for risk monitoring and prediction. These exciting changes bring us to the next key point. The Bleeding Edge.

Industry 30

Industry Energy Travel Sustainability 30

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 45

Big Data Scalability Data Analytics 45

Kentik

NOVEMBER 21, 2016

In just a few years we’ve witnessed the rise of IoT botnet herders, like Mirai, that have unleashed unprecedented attack power. And you’re up against an agile, innovative, and robust marketplace of players that are going for your network traffic jugular — and more. But you can’t do that if you don’t have the data.

Big Data 40

Big Data Data B2C Storage 40

Cloudera

AUGUST 27, 2021

With more than 25TB of data ingested from over 200 different sources, Telkomsel recognized that to best serve its customers it had to get to grips with its data. . Its initial step in the pursuit of a digital-first strategy saw it turn to Cloudera for a more agile and cost-effective data storage infrastructure.

Industry 87

Industry Data Telecommunications Big Data 87

ProCal Tech

OCTOBER 2, 2022

Agility Planning a multi-cloud strategy is not an easy task. With the right expertise at hand, you will be able to achieve full speed and workflow between various cloud platforms, storage, and hypervisors. Many traditional companies are still struggling with legacy IT systems, existing buildings, and hardware providers.

Cloud 52

Cloud Disaster Recovery Storage Telecommunications 52

CTOvision

DECEMBER 15, 2014

Big data is an evolving term that describes any voluminous amount of structured, semi-structured and unstructured data that has the potential to be mined for information. Although big data doesn’t refer to any specific quantity, the term is often used when speaking about petabytes and exabytes of data.

Security 120

Security Government Technology Artificial Intelligence 120

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

Hu's Place - HitachiVantara

FEBRUARY 15, 2019

Hybrid and Multi-cloud Benefits Hybrid and multi-cloud strategies offer flexibility, scalability, and agility by providing the freedom to choose where and how to deploy workloads, without the complexity and delays of acquiring and deploying infrastructure and operations resources.

Cloud 49

Cloud AWS Azure Data Center 49

Confluent

OCTOBER 10, 2019

The Internet of Things (IoT) is getting more and more traction as valuable use cases come to light. A key challenge, however, is integrating devices and machines to process the data in real time and at scale. Confluent MQTT Proxy , which ingests data from IoT devices without needing a MQTT broker.

IoT 20

IoT Internet Weak Development Team Scalability 20

Cloudera

JUNE 25, 2019

Struggling to combat proliferating silos and control their customers’ and operations data. Overwhelmed by new data – images, video, sensor and IoT. Unprepared to meet escalating data privacy regulations. About the Author: Lakshmi Randall is Director of Product Marketing at Cloudera, the enterprise data cloud company.

Enterprise 89

Enterprise Cloud Data Data Center 89

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. Thus, quick updates to the data structure without a time lag becomes easier.

Systems Review 85

Systems Review System Software Review Open Source 85

Instaclustr

OCTOBER 14, 2019

The conference spreads over 4 days next week with a great choice of presentations in multiple tracks including: Cassandra, IoT, Geospatial, Streaming, Machine Learning, and Observability! IoT, geospatial, ML, streaming, etc.), The solution is the Akkio data locality layer, and “ sharding the shards ”!

Technical Review 36

Technical Review Technology Report Open Source 36

OTS Solutions

OCTOBER 10, 2023

also known as the Fourth Industrial Revolution, refers to the current trend of automation and data exchange in manufacturing technologies. It encompasses technologies such as the Internet of Things (IoT), artificial intelligence (AI), cloud computing , and big data analytics & insights to optimize the entire production process.

Artificial Inteligence 147

Artificial Inteligence Mobile Industry Cloud 147

Instaclustr

OCTOBER 14, 2019

The conference spreads over 4 days next week with a great choice of presentations in multiple tracks including: Cassandra, IoT, Geospatial, Streaming, Machine Learning, and Observability! The solution is the Akkio data locality layer, and “ sharding the shards ”!

Technical Review 28

Technical Review Technology Report Open Source 28

CIO

JANUARY 20, 2023

2] Foundational considerations include compute power, memory architecture as well as data processing, storage, and security. It’s About the Data For companies that have succeeded in an AI and analytics deployment, data availability is a key performance indicator, according to a Harvard Business Review report. [3]

Analytics 334

Analytics Artificial Inteligence Artificial Intelligence Hardware 334

Altexsoft

DECEMBER 9, 2020

Diagnostic analytics identifies patterns and dependencies in available data, explaining why something happened. Predictive analytics creates probable forecasts of what will happen in the future, using machine learning techniques to operate big data volumes. Technological perspective: Machine learning techniques and big data.

Analytics 102

Analytics Technical Review Technology Applications 102

TIBCO - Connected Intelligence

JULY 10, 2019

Whether the strategy is better customer experiences, faster time to market, or leaner business processes, data is the common fuel powering these massive transformations. And thus, data has become more important than ever. This is why according to leading analyst firms data virtualization demand is exploding.

Virtualization 20

Virtualization Data Enterprise Technical Review 20