Actian

DECEMBER 18, 2019

New technologies, strategies and trends are taking shape almost daily across analytics, cloud, UX and IoT. In 2020, we’re going to continue to see data re-shaping customer experience, multiple business functions, as well as the analytics infrastructures on which these systems operate.

Analytics 40

Analytics Trends UI/UX Data 40

Hu's Place - HitachiVantara

JANUARY 3, 2019

Public cloud, agile methodologies and devops, RESTful APIs, containers, analytics and machine learning are being adopted. ” Deployments of large data hubs have only resulted in more data silos that are not easily understood, related, or shared. Happy New Year and welcome to 2019, a year full of possibilities.

Trends 86

Trends Artificial Inteligence Data Center Machine Learning 86

Hu's Place - HitachiVantara

JANUARY 15, 2019

When the formation of Hitachi Vantara was announced, it was clear that combining Hitachi’s broad expertise in OT (operational technology) with its proven IT product innovations and solutions, would give customers a powerful, collaborative partner, unlike any other company, to address the burgeoning IoT market.

Systems Review 72

Systems Review Storage System Software Review 72

Kaseya

MAY 13, 2021

In addition, you can also take advantage of the reliability of multiple cloud data centers as well as responsive and customizable load balancing that evolves with your changing demands. Analytics and Intelligence Capabilities. Compliance, Security and Disaster Recovery. What Are the Advantages of AWS?

Google Cloud 122

Google Cloud Azure AWS Cloud 122

Xebia

JANUARY 19, 2023

DataOps aims to improve the release and quality of data products. IoT (1990) The Internet of Things is a distributed collection of devices. While the concept of IoT devices dates back at least a few decades, the smartphone revolution virtually created a massive IoT swarm overnight. Data disappears.

Data Engineering 130

Data Engineering Engineering Data Technical Review 130

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. Unsatisfied with the inflexibility of simple cloud analytics.

Enterprise 87

Enterprise Cloud Data Data Center 87

Capgemini

MAY 20, 2020

The e merging need to deploy data-centered decision is an opportunity to accelerate modernization initiatives with current cloud technology. . Meanwhile, new regulations around privacy and security force IT teams to patch systems for compliance.

Infrastructure 64

Infrastructure Data Retail Analytics 64

Hu's Place - HitachiVantara

NOVEMBER 11, 2018

Private clouds are not simply existing data centers running virtualized, legacy workloads. REAN Cloud is a global cloud systems integrator, managed services provider and solutions developer of cloud-native applications across big data, machine learning and emerging internet of things (IoT) spaces.

Cloud 78

Cloud Google Cloud Azure AWS 78

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. App modernization can enhance security and compliance for businesses.

Artificial Inteligence 130

Artificial Inteligence How To Technical Review Software Review 130

ParkMyCloud

APRIL 23, 2019

This list is broken down by category, including Analytics, Blockchain, Compute, Database, Internet of Things, Machine Learning, and Security. AWS Lake Formation makes it easy to set up a secure data lake in days. AWS IoT Events. Benefits: easily ingest operations data, trigger a range of actions, easily build rules.

AWS 52

AWS IoT Blockchain Machine Learning 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

Tenable

APRIL 24, 2023

Kubernetes introduces a new and complex addition to the modern attack surface; it enlists an infinite army of multi-cloud environments, on-premises data centers, internet of things (IoT) devices, personal computers, edge devices and more. Kubernetes requires a different approach to security than traditional IT infrastructure.

Software Review 52

Software Review Policies Systems Review Technical Review 52

Cloudera

MAY 22, 2019

Although the program is technically in its seventh year, as the first joint awards program, this year’s Data Impact Awards will span even more use cases, covering even more advances in IoT, data warehouse, machine learning, and more. DATA FOR ENTERPRISE AI. DATA CHAMPIONS.

Artificial Inteligence 56

Artificial Inteligence Data Machine Learning Pharmaceuticals 56

Hu's Place - HitachiVantara

FEBRUARY 15, 2019

Hybrid and multi-cloud also provide flexible data management, governance, compliance, availability, and durability. In the case of Hybrid and multi-cloud, we are mixing up multiple clouds which increases operational and data management complexity. Applications can burst out into a public cloud during peak periods.

Cloud 49

Cloud AWS Azure Data Center 49

Cloudera

OCTOBER 7, 2021

A data mesh can be defined as a collection of “nodes”, typically referred to as Data Products, each of which can be uniquely identified using four key descriptive properties: . Data and Metadata: Data inputs and data outputs produced based on the application logic.

Architecture 124

Architecture Data Security Technical Review 124

Actian

FEBRUARY 13, 2020

Does your company have a real-time connected data warehouse where you can aggregate data flowing in from all of your IT systems together with streaming data from IoT, mobile, and SaaS services? Can you easily connect your on-premise, cloud, and multi-cloud systems to enable centralized analytics?

Infrastructure 40

Infrastructure Cloud Data Analytics 40

Openxcell

MAY 12, 2023

Through AWS, Azure, and GCP’s respective cloud platforms, customers have access to a variety of storage, computation, and networking options.Some of the features shared by all three systems include fast provisioning, self-service, autoscaling, identity management, security, and compliance.

Google Cloud 52

Google Cloud Azure AWS Cloud 52

Palo Alto Networks

FEBRUARY 19, 2021

These organizations are looking beyond short-term benefits and investing in a cloud foundation to increase competitiveness, so as to accommodate technologies such as artificial intelligence (AI), advanced data analytics, IoT and edge computing.

Enterprise 77

Enterprise Cloud Serverless Artificial Intelligence 77

Cloudera

JANUARY 22, 2019

Big Data Fabric supports a variety of use cases ranging from real-time insights and machine learning to streaming and advanced analytics. The top Big Data Fabric use cases recognized by Forrester are 360-degree view of the customer, Internet-of-things (IoT) analytics, and real-time and advanced analytics.

Big Data 44

Big Data Scalability Data Analytics 44

DataRobot

MARCH 10, 2022

This “revolution” stems from breakthrough advancements in artificial intelligence, robotics, and the Internet of Things (IoT). These initiatives utilize interconnected devices and automated machines that create a hyperbolic increase in data volumes. IoT Empowered Assembly Lines: Predictive Maintenance.

Artificial Inteligence 52

Artificial Inteligence Artificial Intelligence Machine Learning IoT 52

OTS Solutions

FEBRUARY 16, 2023

Some of the private clouds are HP Data Centers, Ubuntu, Elastic-Private cloud, Microsoft, etc. Organizations that are sharing the same services and concerns such as privacy, security, compliance, etc. It ensures seamless communication between the cloud and the user by providing real-time analytics for cloud computing.

Cloud 130

Cloud Artificial Inteligence Disaster Recovery Internet 130

Existek

JANUARY 11, 2022

The cloud computing market covers many areas like business processes, infrastructure, platform, security, management, analytics supported by cloud providers. Along with meeting customer needs for computing and storage, they continued extending services by presenting products dealing with analytics, Big Data, and IoT.

Azure 52

Azure AWS Cloud How To 52

Altexsoft

JUNE 20, 2019

One of the SQL fundamentals is ACID compliance (Atomicity, Consistency, Isolation, Durability). The ACID-compliance is a preferred option if you build, for instance, eCommerce or financial applications, where database integrity is critical. Limited compliance with SQL standards. Rich documentation and community assistance.

Systems Review 85

Systems Review System Software Review Open Source 85

BPM

JANUARY 18, 2019

That augmentation must be in a form attractive to humans while enabling security, compliance, authenticity and auditability. As we move into a world that is more and more dominated by technologies such as big data, IoT, and ML, more and more processes will be started by external events. And herein lies the true challenge!'.

Artificial Inteligence 111

Artificial Inteligence Artificial Intelligence Machine Learning Weak Development Team 111

Palo Alto Networks

JANUARY 13, 2020

Yet despite 13 years elapsing, companies continue to struggle when it comes to security and compliance in public cloud platforms including Azure, Google, AWS and Alibaba. Why do cloud security and compliance seem so hard? Consider the feature release cycle in a typical on-prem data center vs. Google, Azure and AWS.

Cloud 12

Cloud Compliance How To AWS 12

CIO

DECEMBER 7, 2023

Systems and data are on premise and in the cloud. An explosion of workstations, servers, containers, IoT, and mobile devices has opened opportunities for hackers to exploit. Putting your faith—and your budget—in the wrong place can result in substandard protection, increased operational overhead and costs, and compliance gaps.

Enterprise 240

Enterprise Disaster Recovery Authentication Budget 240

Datavail

DECEMBER 17, 2019

It won’t come from or go to the same locations: Data will stream in from the growing flood of Internet of Things (IoT) devices and systems, which may also be the end storage device, depending on their usage. The growing global data reservoir not only offers more information; it also offers more ways to use that information.

Storage 10

Storage IoT Engineering Data 10

Actian

JULY 31, 2019

Primarily, Relational DataBase Management Systems (RDBMS) managed the needs of these systems and eventually evolved into data warehouses, storing and administering Online Analytical Processing (OLAP) for historical data analysis from various companies, such as Teradata, IBM, SAP, and Oracle.

Artificial Inteligence 8

Artificial Inteligence Data IoT Technical Review 8

Saviynt

NOVEMBER 15, 2019

Whether it’s modernizing the platforms that have been there forever, trying to launch a data center in the cloud, or trying to manage manufacturing or IoT devices more efficiently, the size and shape of our digital footprint is changing. You need a central place to keep all of the identity data, attributes, and information.

Artificial Inteligence 5

Artificial Inteligence Artificial Intelligence Conference Government 5