IDC

DECEMBER 9, 2019

When the first All-Flash Arrays (AFAs) were introduced back in 2011, many enterprises, analysts and established enterprise storage vendors felt that these types of systems would be too expensive for widespread use in the enterprise. Increased device density drops the $/GB cost of that storage.

Storage 52

Storage Systems Review Software Review Technical Review 52

KitelyTech

FEBRUARY 15, 2023

Here is a comprehensive overview of the three cloud platforms , highlighting their benefits and drawbacks, so you can decide which is best for your particular enterprise. Cloud computing is the process of storing and accessing data over the internet, rather than a computer’s hard drive. What Exactly is Cloud Computing?

Google Cloud 52

Google Cloud Azure AWS Cloud 52

TechCrunch

OCTOBER 18, 2022

The 10/10-rated Log4Shell flaw in Log4j, an open source logging software that’s found practically everywhere, from online games to enterprise software and cloud data centers, claimed numerous victims from Adobe and Cloudflare to Twitter and Minecraft due to its ubiquitous presence. Image Credits: AppMap.

Software Review 237

Software Review Analysis Weak Development Team Tools 237

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

FEBRUARY 14, 2023

Organizations have balanced competing needs to make more efficient data-driven decisions and to build the technical infrastructure to support that goal. It’s also used to deploy machine learning models, data streaming platforms, and databases. The features can be raw data that has been processed or analyzed or derived.

Artificial Inteligence 287

Artificial Inteligence Strategy Data Machine Learning 287

CIO

JUNE 7, 2023

These companies act on this data in the moment, serving millions of customers in real time. Let’s take a look at why Cassandra is the database of choice for organizations building enterprise-scale, real-time AI applications. It’s time to reconsider your data infrastructure and invest in the right technology to fuel your growth.

Organization 130

Organization Artificial Inteligence Open Source Architecture 130

Kaseya

MAY 13, 2021

As the name suggests, a cloud service provider is essentially a third-party company that offers a cloud-based platform for application, infrastructure or storage services. In a public cloud, all of the hardware, software, networking and storage infrastructure is owned and managed by the cloud service provider. What Is a Public Cloud?

Google Cloud 122

Google Cloud Azure AWS Cloud 122

CTOvision

JANUARY 15, 2014

Editor’s note: My sense is this relationship will have important and positive impacts on many clients leveraging Hadoop in enterprises, especially those that would like to leverage Apache Accumulo. The enterprise data hub is the emerging and necessary center of enterprise data management, complementing existing infrastructure.

Enterprise 105

Enterprise Big Data Data Analytics 105

CTOvision

FEBRUARY 20, 2015

Hortonworks'' Hadoop Data Platform (HDP) is now a supported feature on Google Cloud. This new feature will allow dynamic provisioning of HDP clusters on the Google Cloud Platform, providing scalability for enterprise-wide solutions employing HDP, as well as providing a means for rapidly setting up prototyping and development environments.

Google Cloud 108

Google Cloud Cloud Big Data Azure 108

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. – AltexSoft All the data processing is done in Big Data frameworks like MapReduce, Spark and Flink.

Data Engineering 130

Data Engineering Engineering Data Technical Review 130

Mobilunity

MAY 8, 2023

An Enterprise Data Lake is a large, centralized repository that stores structured and unstructured data at scale. It is designed to store vast amounts of data from a variety of sources. Moreover an Enterprise Data Lake makes it accessible to data scientists, analysts, and other users across the enterprise.

Engineering 52

Engineering Data Storage AWS 52

Altexsoft

FEBRUARY 11, 2023

It serves as a foundation for the entire data management strategy and consists of multiple components including data pipelines; , on-premises and cloud storage facilities – data lakes , data warehouses , data hubs ;, data streaming and Big Data analytics solutions ( Hadoop , Spark , Kafka , etc.);

Data 87

Data Data Engineering Big Data Architecture 87

Infinidat

DECEMBER 3, 2019

Uncover the Value of Your Data at Gartner IOCS in Las Vegas. Without big data analytics, companies are blind and deaf, wandering out onto the web like deer on a freeway.” - Geoffrey Moore. The sheer amount of data being generated has the potential to offer the most accurate -- and most actionable -- insights for businesses.

Data 52

Data Storage Big Data Conference 52

CTOvision

OCTOBER 27, 2014

Enterprise security company, Palo Alto Networks has announced the latest release of its virtual firewall series (VM-Series). Big Data Product Watch 10/17/14: Big Three Make Big Moves. Big Data Product Watch 10/17/14: Big Three Make Big Moves. and Hortonworks Inc.

Technical Review 103

Technical Review Technology Big Data Firewall 103

Openxcell

JANUARY 6, 2023

Cloud computing has emerged as the optimal method of delivering enterprise software for businesses introducing new technologies or expanding their infrastructure. Just a few of the existing cloud services include servers, storage, databases, networking, software, analytics, and business intelligence. What is cloud computing?

Architecture 52

Architecture Cloud Storage Google Cloud 52

Perficient

FEBRUARY 28, 2023

Academic Medical Center Case Study This was an academic medical center that was running into challenges to integrate large data sets securely and quickly to make the data usable and valuable to its providers and researchers. They initially had a traditional, on-premises enterprise data warehouse to store and analyze data.

Healthcare 64

Healthcare Technical Review AWS Analytics 64

Datavail

APRIL 6, 2021

Oracle Data Cloud. Using SaaS is best in the following situations: Your software needs to prioritize scalability and accessibility from anywhere at any time. Your processes are standardized across the enterprise or can be changed to fit the application. compute, network, storage, etc.) Oracle SCM and Manufacturing Cloud.

Cloud 97

Cloud Disaster Recovery Artificial Intelligence Artificial Inteligence 97

CTOvision

FEBRUARY 26, 2014

By Bob Gourley With high-speed data analytics and cyber analytics enterprises shift the balance of power in cyber security. Novetta Cyber Analytics provides rapid discovery of suspicious activity associated with advanced threats, dynamic malware, and exfiltration of sensitive data. About Novetta Solutions.

Analytics 102

Analytics Big Data Conference Malware 102

Cloudera

SEPTEMBER 9, 2021

The cloud-native consumption model delivers lower cloud infrastructure TCO versus both on-premises and IaaS deployments of Apache HBase by employing a) elastic compute resources b) cloud-native design patterns for high-availability and c) cost efficient object storage as the primary storage layer. Elastic Compute.

Storage 91

Storage Azure Technical Review Database Administration 91

Openxcell

MARCH 30, 2023

From human genome mapping to Big Data Analytics, Artificial Intelligence (AI),Machine Learning, Blockchain, Mobile digital Platforms (Digital Streets, towns and villages),Social Networks and Business, Virtual reality and so much more. The 21st century has seen the advent of some ingenious inventions and technology.

Artificial Inteligence 98

Artificial Inteligence Machine Learning IoT Internet 98

CTOvision

JUNE 3, 2014

The addition will immediately deliver enterprise-grade data encryption and key management, addressing head on the challenges associated with securing and processing sensitive and legally protected data within the Hadoop ecosystem. Terms of the deal were not disclosed. That’s what we’re solving now.”

Big Data 108

Big Data Open Source Weak Development Team Compliance 108

Datavail

SEPTEMBER 17, 2019

While there are a large number of options within the realm of NoSQL databases for big data, MongoDB has the majority market share. S&P Global Market Intelligence data indicates the company experienced 182.1 The pricing is highly scalable and determined based on an hourly rate for dedicated clusters.

Cloud 40

Cloud Azure Big Data Storage 40

Openxcell

DECEMBER 18, 2023

Benefits of using AI in app development Implementing Artificial Intelligence (AI) into applications delivers a host of benefits that enhance user experience and provide innovative solutions for enterprises. However, with AI tools, one can simply reduce the time to analyze this data by many fractions. How to develop an AI?

Artificial Inteligence 52

Artificial Inteligence Applications Development Artificial Intelligence 52

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. What is a data lake?

Architecture 52

Architecture Data Storage Machine Learning 52

AWS Machine Learning - AI

FEBRUARY 29, 2024

Knowledge Bases is completely serverless, so you don’t need to manage any infrastructure, and when using Knowledge Bases, you’re only charged for the models, vector databases and storage you use. RAG is a popular technique that combines the use of private data with large language models (LLMs).

Knowledge Base 107

Knowledge Base Artificial Inteligence Generative AI AWS 107

Actian

FEBRUARY 24, 2020

RPA vendors often resort to using or embedding open source integration tools, which are risky; these tools may not have enterprise-level support, may not be secure, and also have the risk of being acquired by a larger vendor. RPA vendors also have a data challenge. Embedded and Edge Processing of Streaming Data.

Artificial Inteligence 40

Artificial Inteligence IoT Artificial Intelligence Mobile 40

CIO

JUNE 1, 2023

Analysts IDC [1] predict that the amount of global data will more than double between now and 2026. Meanwhile, F oundry’s Digital Business Research shows 38% of organizations surveyed are increasing spend on Big Data projects. Find out more on the Veeam website. [1]

Backup 276

Backup Enterprise Data Artificial Intelligence 276

Openxcell

SEPTEMBER 18, 2023

The situation has changed dramatically since such restrictions were lifted after COVID-19 hit, and regulatory bodies asked enterprise healthcare providers to take action to continue seeing patients while in-person clinics were closed. It allows secure storage and sharing of patient health records, preventing unauthorized access.

UI/UX 52

UI/UX Technical Review Development Software Review 52

Cloudera

OCTOBER 28, 2021

In the days of Lloyd’s Coffee House , insurers gathered data about cargo, voyages, seasonal weather and the performance history of vessels and mariners to underwrite risks. The data was not created by the underwriters; it all was sourced from the insured enterprises, industry-specific sources or associated third parties.

Insurance 94

Insurance Data Analytics Industry 94

Datavail

JULY 7, 2022

Agility and scalability. Traditional on-premises analytics infrastructure is limited in terms of the agility and scalability that you can achieve. With finite hardware restrictions on computational power and storage, companies often struggle to adapt when facing unprecedented demand for analytics workloads. Unstructured data.

Analytics 52

Analytics Artificial Inteligence Cloud Artificial Intelligence 52

Kentik

APRIL 16, 2018

We live in the age of analytics, powered by incredible advances in distributed computing and big data technology. Companies are turning to data and analytics to improve all aspects of how they do business. User, device and provider data from OSS/BSS and CRM servers. Security threat intelligence feeds.

Performance 40

Performance Cloud Big Data KPI 40

IDC

DECEMBER 9, 2019

When the first All-Flash Arrays (AFAs) were introduced back in 2011, many enterprises, analysts and established enterprise storage vendors felt that these types of systems would be too expensive for widespread use in the enterprise. Increased device density drops the $/GB cost of that storage.

Storage 10

Storage Systems Review Software Review Technical Review 10

Existek

JANUARY 11, 2022

And companies that have completed it emphasize gained advantages like accessibility, scalability, cost-effectiveness, etc. . They quickly met the full range of enterprise needs starting from SaaS to PaaS and IaaS. They provided a few services like computing, Azure Bob storage, SQL Azure, and Azure Service Bus.

Azure 52

Azure AWS Cloud How To 52

Confluent

FEBRUARY 6, 2019

Building a scalable, reliable and performant machine learning (ML) infrastructure is not easy. It allows real-time data ingestion, processing, model deployment and monitoring in a reliable and scalable way. It allows real-time data ingestion, processing, model deployment and monitoring in a reliable and scalable way.

Machine Learning 107

Machine Learning Artificial Inteligence Scalability Data Engineering 107

Kentik

DECEMBER 12, 2017

However, as enterprises and service providers put their 2018 tech budgets into action, we’re here to point out one DIY networking trend where the fine print is worth reading: Open source network flow analyzers. NetFlow data retention scalability. The “do it yourself” (or DIY) mentality isn’t new to our industry. Open API access.

Open Source 40

Open Source Network Big Data Storage 40

Battery Ventures

JUNE 27, 2019

Two years ago, we wrote about how the explosion of new big-data and artificial-intelligence technologies was spurring a renaissance in an old Silicon Valley business—semiconductors—and putting the “silicon” back in Silicon Valley. Today we’re more sure of that than ever. We are excited to welcome the SoftBank team to Fungible.

Artificial Intelligence 40

Artificial Intelligence Artificial Inteligence Big Data Hardware 40

RapidValue

AUGUST 4, 2020

Enterprises committed to the cloud for the long-term should invest in AWS Reserved Instances (RIs) or Azure Reserved VM Instances (RIs). Managing the cost variables like Reserved Instances (RIs), upfront payment and storage types are critical for successful IT, DevOps, Security, and Finance teams. Minimize data transfer costs.

Cloud 92

Cloud How To Azure AWS 92