CTOvision

MAY 24, 2016

has announced the launch of the Cray® Urika®-GX system -- the first agile analytics platform that fuses supercomputing technologies with an open, enterprise-ready software framework for big data analytics. The Cray Urika-GX system is designed to eliminate challenges of big data analytics. About Cray Inc.

Big Data 64

Big Data Analytics Agile System 64

CTOvision

DECEMBER 23, 2015

Their executive ranks include champions who have created scalable enterprise data solutions for decades, including a Turing Award winner. Big companies will begin to see the democratization of data preparation as a natural consequence of the democratization of analytics that has been driven by new products such as Tableau.

Data 67

Data Artificial Intelligence Artificial Inteligence Technical Review 67

CIO

OCTOBER 11, 2022

AstraZeneca’s ability to quickly spin up new analytics capabilities using AI Bench was put to the ultimate test in early 2020 as the global pandemic took hold. . Learn more about ways to put your data to work on the most scalable, trusted, and secure cloud. . [1] BIO, BioMed tracker, Amplion, 2016. Artificial Intelligence

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TechCrunch

DECEMBER 10, 2021

and analytical background related to data,” as well as the consulting expertise for startups that he provides. A custom-tailored architectural design allows for a more efficient development process, fast iteration and gets to the robust and scalable software solution leaner and with fewer bumps along the way.

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Weak Development Team Software Development Software Review Fractional CTO 255

Kentik

JULY 5, 2016

I’d like to welcome Cisco to the 2016 analytics party. For those of you who missed the news, Cisco just announced Tetration Analytics, a full rack appliance meant to collect sensor data from data center infrastructure and analyze it with Big Data and machine learning power. Tetration Announcement Validates Big Data Direction.

Analytics 40

Analytics Big Data Data Center WAN 40

Dion Hinchcliffe's Web 2.0 Blog

OCTOBER 12, 2016

Sidebar: I’ve recently been exploring what these new models for sustainable yet highly scalable models for digital transformation, even proving them out on client projects I’ve been working on over the last few years. Great round-ups on cloud computing , analytics , and other enterprise tech trends from folks like Louis Columbus.

Trends 61

Trends Technical Review Blockchain Sustainability 61

TechCrunch

AUGUST 22, 2022

The 2016-founded startup says its network is being used by over 25,000 organisations across 130+ countries to access and share information to support decision-making related to ESG goals — such vis-a-vis CO 2 emissions reductions or for responding to human rights concerns. .

Sustainability 208

Sustainability Development Team Review Data Technical Review 208

O'Reilly Media - Data

MARCH 22, 2018

2016, DeepFool and Goodfellow, et al., This approach helps us to apply interpretability to machine learning systems depending on the analytical use cases—post-hoc operation could be expensive, and extensive interpretability may not be needed all the time. Lipton, 2016. General data protection regulation, 2016.

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Off-The-Shelf Artificial Inteligence Machine Learning Weak Development Team 177

Honeycomb

APRIL 23, 2025

These are going to require us all to learn some slightly different skillsto think about data management in different ways; ways more like how business analytics teams are accustomed to managing their data than the way ops teams do. When we started building Honeycomb in 2016, we built our own columnar storage engine out of necessity.

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Weak Development Team Metrics Storage Engineering 110

Cloudera

JANUARY 22, 2019

Big Data Fabric enables a permanent and scalable mechanism for business to consolidate all its data under the umbrella of one unified platform. Big Data Fabric supports a variety of use cases ranging from real-time insights and machine learning to streaming and advanced analytics. High-value Analytics. Source: Cloudera.

Big Data 44

Big Data Scalability Data Analytics 44

OverOps

APRIL 23, 2019

The second phase of cloud evolution occurred between 2014 and 2016. Higher Level of Control Over Big Data Analytics. Given its computational power, elastic resources and scalability, the cloud is a perfect fit for organizations that have to deal with big data. Stage 2 – Impractical Eagerness Towards the Cloud.

Cloud 189

Cloud Data Center Architecture AWS 189

AWS Machine Learning - AI

JUNE 18, 2024

The objective is to automate data integration from various sensor manufacturers for Accra, Ghana, paving the way for scalability across West Africa. The solution had the following requirements: Cloud hosting – The solution must reside on the cloud, ensuring scalability and accessibility.

Generative AI 131

Generative AI Artificial Inteligence Technical Review AWS 131

CTOvision

APRIL 11, 2016

supports over 130 processors including Kafka, Couchbase, Microsoft Azure Event Hub and Splunk, which enable an easy point and click user experience for creation of powerful and scalable directed graphs of data routing, transformation and system mediation logic. GISEC 2016 in Dubai. Highlights of HDF Release 1.2 Related articles.

Exercises 61

Exercises Azure Analytics Authentication 61

Cloudera

APRIL 27, 2022

One of the ways to accelerate time to insight is by performing analytics on real-time data. Data in motion consists of three distinct elements: data flow, message streams, and stream processing and analytics. . Around 2016, we started talking about data in motion within the context of an enterprise data platform.

Windows 99

Windows Data IoT Analytics 99

Cloudera

OCTOBER 26, 2020

Cloudera and Dell/EMC are continuing our long and successful partnership of developing shared storage solutions for analytic workloads running in hybrid cloud. . CDP PvC Base is a version of CDP that supports a variety of solutions where analytics needs to be run on-premises. Hive-on-Tez for better ETL performance. Encryption.

Cloud 87

Cloud Quality Assurance Storage Analytics 87

Cloudera

SEPTEMBER 29, 2021

86% of the companies adopting big data and data analytics state that adopting the technology has had a positive impact. . The majority of business leaders who participated in the IDG’s 2021 Data & Analytics Study are data haves — 86%, an increase from 68% in 2016. The returns are tangible. Challenges.

Analytics 79

Analytics Budget Enterprise Artificial Inteligence 79

CTOvision

SEPTEMBER 9, 2016

Zoomdata develops the world’s fastest visual analytics solution for big data. Zoomdata Fusion enables interactive analytics across disparate data sources, bridging modern and legacy data architectures, blending real-time streams and historical data, and unifying enterprise data with data in the cloud.

Big Data 60

Big Data Data Analytics Scalability 60

CTOvision

SEPTEMBER 9, 2016

Zoomdata develops the world’s fastest visual analytics solution for big data. We track Zoomdata in our Disruptive IT Directory in the Business Intelligence and Analytics Companies section. Delivered in a microservices architecture for elastic scalability, Zoomdata runs on premises, in the cloud or embedded in an application.

Big Data 60

Big Data Data Analytics Business Intelligence 60

Netlify

AUGUST 2, 2020

When we reflected on the past 5 years since Netlify has been publicly available, some major milestones stood out: 2016: We were the first hosting service in the world that enabled a completely automated SSL for free, based on Let’s Encrypt. We often hear from our users about how useful this feature is!

Development 98

Development Architecture Web Development Internet 98

The Citus Data

MARCH 26, 2022

However, we do find that applications developers often want to be prepared for the future in terms of scalability, and there are some very demanding enterprise applications. Fortunately, we made significant improvements to connection scalability in PostgreSQL 14, allowing Postgres (and Citus) to keep performing well at high connection counts.

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Load Balancer Testing Open Source Applications 142

Cloudera

SEPTEMBER 28, 2020

ACID transactions, ANSI 2016 SQL SupportMajor Performance improvements. Navigator to atlas migration, Improved performance and scalability. The customer leverages Cloudera’s multi-function analytics stack in CDP. New Features CDH to CDP. Identifying areas of interest for Customer A. Hive-on-Tez for better ETL performance.

Cloud 132

Cloud Systems Review Technical Review Software Review 132

CTOvision

JULY 25, 2016

NEW YORK, July 20, 2016 – Deloitte Advisory Cyber Risk Services and Cray Inc. Nasdaq: CRAY), the global supercomputing leader, introduced today the first commercially available high-speed, supercomputing threat analytics service, Cyber Reconnaissance and Analytics. Charles Hall. What do you look like to your adversary?”

Technical Review 61

Technical Review Analytics Weak Development Team Big Data 61

ProtectWise

JANUARY 11, 2017

In 2017, more organizations will look to the cloud to enable better visibility with longer retention and continuous analytics. The cloud is the key to enabling this, with benefits like elasticity, availability, scalability and ease of deployment. In 2016 we saw the birth of response orchestration and security tooling automation.

VR 61

VR Big Data Fashion Enterprise 61

Cloudera

MAY 15, 2018

Over the past decade, we have observed open source powered big data and analytics platforms evolve from large data storage containers to massively scalable advanced modeling platforms that seamlessly operate on-premises and in a multi-cloud environment. Derman (2016), Cesa (2017) & Bouchard (2018)). Blog Post, Nov-2016.

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Artificial Inteligence Machine Learning Analytics Big Data 42

G2 Crowd Software

DECEMBER 5, 2017

It was named a Leader in G2 Crowd’s Summer 2016 Grid ® for Relational Databases. It was named a High Performer in G2 Crowd’s Summer 2016 Grid ® for Relational Databases. Scalability. Features include database server, analytics and microservice architecture. “As The tool has 217 reviews on G2 Crowd, averaging 4.4

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Open Source Software Review Software Technical Review 61

Kentik

FEBRUARY 22, 2018

As an example of what can happen, the Mirai malware set loose in late 2016 created a botnet of IoT devices that included ordinary consumer devices such as security cameras, routers, and other home use IoT devices purposely designed to take websites and entire networks offline. The scale of the initial Mirai-based attack was eye-opening.

IoT 40

IoT Big Data Malware Internet 40

Planbox

JANUARY 10, 2019

Planbox’s track record of solid growth and its strong financial performance will accelerate product innovations and improve scalability for Imaginatik’s long-standing clients. “We Planbox was quickly recognized as a Leader by Forrester in the Innovation Management Wave Report in 2016. said Ludwig Melik, CEO of Planbox.

Agile 49

Agile Innovation Scalability Data Center 49

Kentik

FEBRUARY 6, 2017

Six months ago Cisco made a big-time splash in the network analytics pool with the introduction of Tetration Analytics. Billion acquisition of AppDynamics, Cisco has made another blockbuster analytics-related move. Among our highlights in 2016: Our annual recurring revenue grew nearly 6x.

Metrics 40

Metrics Analytics Network Microservices 40

Altexsoft

OCTOBER 24, 2019

If you know how much terabyte is, you’d probably be impressed by the fact that Netflix had about 44 terabytes of data in their warehouse back in 2016. Any data warehouse is a database which is always connected with raw-data sources via data integration tools on one end and analytical interfaces on the other. Reflects the source data.

Architecture 50

Architecture Enterprise Data Technical Review 50

Apps Associates

JUNE 22, 2022

Apps Associates prides itself on being a trusted partner for the management of critical business needs, providing strategic consulting and managed services for Oracle, Salesforce, integration , analytics and multi-cloud infrastructure. New Instance Types: I4i. GHz, equipped with up to 7.6 GHz, equipped with up to 7.6

AWS 52

AWS IPv6 Storage Serverless 52

Progress

JULY 23, 2019

Kinvey provides the most performant, scalable, secure, open and serverless BaaS platform on the market, and it is used to run mission-critical apps by organizations the world over. 1] Kinvey was also cited as a leader in The Forrester Wave™: Mobile Development Platforms, Q4 2016. [2]

Enterprise 8

Enterprise Cloud Healthcare Serverless 8

Openxcell

APRIL 7, 2023

Cloud Service Provides tools and services for building, training, and deploying Machine Learning Models Providing scalable and cost-effective infrastructure Amazon Web Services, Google Cloud Platform, and Microsoft Azure What do Machine Learning Tools do? This software was published in 2016 by the core Google Brain Team.

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Artificial Inteligence Machine Learning Tools Open Source 52

Existek

JANUARY 11, 2022

The cloud computing market covers many areas like business processes, infrastructure, platform, security, management, analytics supported by cloud providers. And companies that have completed it emphasize gained advantages like accessibility, scalability, cost-effectiveness, etc. . Data and analytics. Internet of Things.

Azure 52

Azure AWS Cloud How To 52

Newgen Software

JANUARY 2, 2024

As a next step, BPM platform introduces the heavy artillery in the form of digital tools ranging from business analytics software to web forms, to data mining to collaborative work tools that will facilitate successful completion of business processes. Sources: 1] Gartner Inc.,

Software Review 52

Software Review Systems Review Technical Review Artificial Inteligence 52

Datavail

SEPTEMBER 17, 2019

Mongo CTO and Co-Founder Eli Horowitz published a blog in June 2016 officially announcing the Atlas service as the “simplest, most robust” way to use Mongo in the cloud at deployments of many different sizes. Performing real-time or predictive business analytics with minimal latency. Is MongoDB a Better Choice?

Cloud 40

Cloud Azure Big Data Storage 40

Instaclustr

AUGUST 4, 2021

Like germanium, most metallic elements end in “ium”, and surprisingly the latest “ium” element, moscovium , was only officially named in 2016. Debezium uses this approach to get the change data, and then uses Kafka and Kafka Connect to make it available scalably and reliably to multiple downstream systems. What is Change Data Capture?

Data 59

Data Open Source Analytics Applications 59

Openxcell

JANUARY 3, 2025

Over the last 15+ years, the company has worked with small to big businesses and startups worldwide and delivered scalable and reliable solutions. Founded: 2016 Location: USA Team Size: 100-249 4. Founded: 2016 Location: USA Team Size: 250 – 999 11. Founded: 2009 Location: India and USA Team Size: 500+ 2.

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Artificial Inteligence Company Development Artificial Intelligence 40