CTOvision

OCTOBER 27, 2014

Big Data Product Watch 10/17/14: Big Three Make Big Moves. — dominated Big Data news this week, while the third, MapR Technologies Inc., Defense Daily’s 2014 Open Architecture Summit, … Read more on Defense Daily Network (subscription). and Hortonworks Inc. Upcoming Industry Events.

Technical Review 103

Technical Review Technology Big Data Firewall 103

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’s deep experience in data analytics makes us a great match for the high performance capabilities of Teradata. About Teradata and Novetta at RSA Conference 2014.

Analytics 102

Analytics Big Data Conference Malware 102

CTOvision

AUGUST 7, 2014

Hadoop-based machine and log data management solution offers dramatic improvements in scalability, manageability and total cost of ownership. August 5, 2014 — X15 Software, Inc., Machine data is a valuable and fast-growing category of Big Data. Elastic scalability. From: [link]. SAN MATEO, Calif.,

Enterprise 101

Enterprise Software Data Big Data 101

CTOvision

JANUARY 15, 2014

The enterprise data hub is the emerging and necessary center of enterprise data management, complementing existing infrastructure. The joint development work focuses on Apache Accumulo, the scalable, high performance distributed key/value store that is part of the Apache Software Foundation. – bg. About Cloudera.

Enterprise 105

Enterprise Big Data Data Analytics 105

OverOps

APRIL 23, 2019

The second phase of cloud evolution occurred between 2014 and 2016. Cloud bursting is best used for applications that are not dependent on complex delivery infrastructure or integration with other components, applications and systems that may be internal to the data center. Higher Level of Control Over Big Data Analytics.

Cloud 189

Cloud Data Center Architecture AWS 189

CTOvision

JUNE 3, 2014

Jun/03/2014. 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. Cloudera Strengthens Hadoop Security with Acquisition of Gazzang.

Big Data 108

Big Data Open Source Weak Development Team Compliance 108

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. Maintained by the Apache Software Foundation, Apache Spark is an open-source, unified engine designed for large-scale data analytics. Big data processing.

Weak Development Team 52

Weak Development Team Big Data Data Machine Learning 52

CTOvision

AUGUST 12, 2014

Analytics 2014: Insights for Mission impact began with opening remarks from Keith Masback , Chief Executive Officer, United States Geospatial Intelligence Foundation (USGIF). Wildfires are difficult to predict, therefore WIFIRE supports an integrated process that analyzes wildfires, incorporating observations with real-time data.

Fractional CTO 104

Fractional CTO CTO Technical Cofounder Analytics 104

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. Embrace FinOps.

Data Engineering 130

Data Engineering Engineering Data Technical Review 130

CTOvision

DECEMBER 23, 2015

Their executive ranks include champions who have created scalable enterprise data solutions for decades, including a Turing Award winner. Five of these credible builders of the future provide their thoughts on the future of data below: 1) Andy Palmer ─ Tamr Co-Founder and CEO.

Data 67

Data Artificial Intelligence Artificial Inteligence Technical Review 67

Kentik

JULY 11, 2016

Data Centers Need Big Data Network Analytics, But as SaaS. The announcement is significant for Cisco in part because it creates expectations of data center functionality to which competitors such as HP and Dell/EMC will likely have to respond. In a recent post I discussed some of the factors driving that need.

Data Center 40

Data Center Big Data Hardware Analytics 40

Kentik

JUNE 30, 2015

Late in 2014, I decided to research another cool/emerging trend: the use of big data technologies in network and infrastructure management. I had always been of the belief that network visibility was a big data problem, particularly for live traffic and performance monitoring. What exactly is the solution?”

Network 40

Network Big Data Wireless Tools 40

Kentik

JUNE 30, 2015

Our first service, Kentik Detect, is an infrastructure data analytics service that is scalable, powerful, flexible, open, and easy to use. Specifically, operators said that they’d like to see: High speed ingest of high resolution NetFlow, combined with routing data. Long-term retention and availability at high resolution.

Load Balancer 40

Load Balancer Analytics Scalability Network 40

Openxcell

MARCH 27, 2025

With a high-level focus on scalability, security, and performance, G42 is transforming the AI space in the UAE. is one of the most popular AI companies in Dubai, and it emphasizes data-driven and cognitive AI solutions. Best For: National-scale enterprise AI solutions and generative AI innovation. By providing these services, Saal.ai

Artificial Inteligence 40

Artificial Inteligence Artificial Intelligence Innovation Company 40

Altexsoft

MARCH 30, 2020

Historical data accumulated over the years creates a solid foundation for accurate predictions. Example of a CMMS dashboard with data on maintenance KPIs. Central data storage. You need large and scalable storage to aggregate both real-time data from sensors and historical data from a CMMS. Source: IAMTech.

Artificial Inteligence 72

Artificial Inteligence Machine Learning Technical Review IoT 72

John Snow Labs

AUGUST 7, 2024

Initially its applications were modest focusing on tasks like pattern recognition in imaging and data analysis. A significant milestone was reached in 2014 with the introduction of Generative Adversarial Networks (GANs). Their commitment to diversity in data collection and algorithmic transparency is key to minimizing bias.

Generative AI 59

Generative AI Healthcare Artificial Inteligence Technical Review 59

Altexsoft

APRIL 26, 2022

With the consistent rise in data volume, variety, and velocity, organizations started seeking special solutions to store and process the information tsunami. This demand gave birth to cloud data warehouses that offer flexibility, scalability, and high performance. Great performance and scalability. What is Snowflake?

Weak Development Team 59

Weak Development Team Data Storage Technical Review 59

Apiumhub

JANUARY 30, 2019

For example, THINX , founded in 2014, sells a unique design for period-proof underwear that allows their customers to pick a style depending on their level of flow. Lately, people started to understand the importance of quality software and scalability became one of the top priorities for ecommerce managers. Big Data analytics.

eCommerce 42

eCommerce Artificial Inteligence Artificial Intelligence Machine Learning 42

Kentik

JUNE 30, 2015

By 2012, everything was in the cloud and big-data had prevailed (whatever that means). I ran into Avi in 2013 and he informed me that he was going to build a data platform that could consume massive amounts of NetFlow, make it available in real-time, and provide both a UI and an API. Dan : “OK.”. Was the whole thing for real?

Network 40

Network Open Source Big Data Windows 40

Existek

JANUARY 11, 2022

And companies that have completed it emphasize gained advantages like accessibility, scalability, cost-effectiveness, etc. . For example, they considerably revised the cloud strategy due to the need to transform the delivery model from PaaS to IaaS, thus renaming Windows Azure to Microsoft Azure in 2014. . Read the article.

Azure 52

Azure AWS Cloud How To 52

Strategy Driven

MARCH 30, 2020

It’s also not as scalable as fossil fuels. Despite major turbulences (like the one of 2014), OPEC has successfully managed the supply/demand in the past. 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.

Industry 29

Industry Energy Travel Sustainability 29

John Snow Labs

FEBRUARY 29, 2024

Initially its applications were modest focusing on tasks like pattern recognition in imaging and data analysis. A significant milestone was reached in 2014 with the introduction of Generative Adversarial Networks (GANs). Their commitment to diversity in data collection and algorithmic transparency is key to minimizing bias.

Generative AI 40

Generative AI Healthcare Artificial Inteligence Technical Review 40

Instaclustr

OCTOBER 14, 2019

Ben shared lots of revealing graphs of metrics relevant to community health, including trends in the number of issues created and resolved since 2014, code additions and subtractions, code commits, committer stats (there are more now than 2017), release activity, commits by top contributors, google search term trends, and database engines ranking.

Technical Review 36

Technical Review Technology Report Open Source 36

Instaclustr

OCTOBER 14, 2019

Ben shared lots of revealing graphs of metrics relevant to community health, including trends in the number of issues created and resolved since 2014, code additions and subtractions, code commits, committer stats (there are more now than 2017), release activity, commits by top contributors, google search term trends, and database engines ranking.

Technical Review 28

Technical Review Technology Report Open Source 28

Altexsoft

MARCH 16, 2021

In this article, we will explain the concept and usage of Big Data in the healthcare industry and talk about its sources, applications, and implementation challenges. What is Big Data and its sources in healthcare? So, what is Big Data, and what actually makes it Big? Let’s see where it can come from.

Big Data 116

Big Data Healthcare Applications Data 116

LeanEssays

JANUARY 21, 2016

Big Data 3. If a company can’t provide infrastructure that matches the capability, cost, accessibility, reliability, and scalability of the cloud, then it may as well outsource its infrastructure to the cloud. Big Data In 2001 Doug Cutting released Lucene, a text indexing and search program, under the Apache software license.

Software Review 55

Software Review Innovation Software Technical Advisors 55

Confluent

FEBRUARY 13, 2019

Systems built as Reactive Systems are more flexible, loosely-coupled and scalable. Reactive Manifesto, 2014. It is very simple but presents scalability challenges. In the event-driven world, we’d build a scalable model where the event streams flow between processors. By the end of the flow, the payment is transacted.

Architecture 92

Architecture Programming Microservices Serverless 92