TechCrunch

AUGUST 26, 2021

Cloud security startup Monad, which offers a platform for extracting and connecting data from various security tools, has launched from stealth with $17 million in Series A funding led by Index Ventures. . “Security is fundamentally a big data problem,” said Christian Almenar, CEO and co-founder of Monad.

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TechCrunch

SEPTEMBER 30, 2021

Data centers are taking on ever-more specialized chips to handle different kinds of workloads, moving away from CPUs and adopting GPUs and other kinds of accelerators to handle more complex and resource-intensive computing demands. “We were grossly oversubscribed for this round,” he said.

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Dzone - DevOps

JANUARY 23, 2024

Big data has become increasingly important in today's data-driven world. It refers to the massive amount of structured and unstructured data that is too large to be handled by traditional database systems. To efficiently process and analyze this vast amount of data, organizations need a robust and scalable architecture.

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TechCrunch

AUGUST 4, 2022

When it comes to geospatial and mapping data and how they are leveraged by organizations, satellites continue to play a critical role when it comes to sourcing raw information. Getting that raw data into a state that can be usable by enterprises, however, is a different story. opens in a new window) license.

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TechCrunch

DECEMBER 14, 2020

Big data is a sham. There is just one problem with big data though: it’s honking huge. Processing petabytes of data to generate business insights is expensive and time consuming. Processing petabytes of data to generate business insights is expensive and time consuming. What should a company do?

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TechCrunch

NOVEMBER 16, 2020

Today, a new London startup called Harbr , which has built a secure platform to enable big data exchange, is announcing a big round of funding to tap into that demand. Harbr emerges from stealth to help build online data marketplaces. I have been in data a very long time, and we have a lot of relationships with U.S.

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TechCrunch

JULY 12, 2021

to bring big data intelligence to risk analysis and investigations. to bring big data intelligence to risk analysis and investigations. “To do that you need more data and insights.” “To do that you need more data and insights.” “That has been substantial.

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TechCrunch

SEPTEMBER 30, 2022

One of these companies is 7Analytics , a Norwegian startup founded back in 2020 by a team of data scientists and geologists to reduce the risks of flooding for construction and energy infrastructure companies. Show me the data. FloodCube in action Image Credits: 7Analytics. ” Startups to the rescue? .

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TechCrunch

SEPTEMBER 21, 2021

Farming sustainably and efficiently has gone from a big tractor problem to a big data problem over the last few decades, and startup EarthOptics believes the next frontier of precision agriculture lies deep in the soil. So many just till and fertilize everything for lack of data, sinking a lot of money (Dyrud estimated the U.S.

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TechCrunch

NOVEMBER 7, 2022

The Truveta concept is simple: Work with different healthcare groups to collect anonymized patient data, pool the information and make it available to third parties so that they can see what’s actually going on in terms of patient outcomes in a more holistic sense. The question now is how much people — customers — want to use it.

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TechBeacon

JANUARY 4, 2022

Attending AI, analytics, big data, and machine-learning conferences helps you learn about the latest advancements and achievements in these technologies, things that would likely take too long and too much effort to research and master on your own.

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Aqua Security

FEBRUARY 21, 2024

Aqua Nautilus has unveiled a new campaign targeting Apache big-data stack, specifically Apache Hadoop and Apache Druid. Upon investigation, it was discovered that the attacker exploits existing misconfigurations and vulnerabilities within our Apache cloud honeypots to execute the attacks.

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Dzone - DevOps

NOVEMBER 27, 2023

Charting the Intricacies of Merging Big Data with Traditional Data Management Systems The dawn of the digital age has led to an exponential increase in data creation, pushing the boundaries of what traditional data management systems can handle.

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Confluent

MARCH 16, 2023

Big data was a core term for any company doing data engineering and analytics. Learn how big data has changed and evolved, leading to the fundamental cloud services of today.

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CTOvision

JUNE 2, 2020

There has been rapid growth in the Internet of Things (IoT) and big data technologies amongst organizations and individuals. According to Forbes, it’s predicted that the amount of data generated […].

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CTOvision

FEBRUARY 24, 2020

Read Tim Molino explain how we can achieve big data revolution if our policies and laws are in order on Information Week : We are just at the beginning of the big data revolution. Not only are we creating data at exponential rates, […]. What was merely a prediction a few years ago is happening today.

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CTOvision

JUNE 3, 2021

A well-executed big data strategy can streamline operational costs, reduce time to market and enable new products. But enterprises face a variety of big data challenges in moving initiatives from board room discussions to practices that work.

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Cloudera

OCTOBER 20, 2022

All of these functions rest on technology and share a valuable commodity: data. . Data is produced and consumed in ever-increasing amounts and therefore must be protected. Government networks are managed by CIOs and CISOs, with the CDO — the newest CXO position — shaping policies to handle data in support of government missions.

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O'Reilly Media - Data

SEPTEMBER 11, 2018

It has become much more feasible to run high-performance data platforms directly inside Kubernetes. The problem is that data lasts a long time and takes a long time to move. The life cycle of data is very different than the life cycle of applications. That doesn’t work out well if you have a lot of state in a few containers.

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CIO

OCTOBER 13, 2023

Data architect role Data architects are senior visionaries who translate business requirements into technology requirements and define data standards and principles, often in support of data or digital transformations. Data architects are frequently part of a data science team and tasked with leading data system projects.

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Perficient

SEPTEMBER 19, 2024

The data collected would go into their proprietary software for analysis and results. and digital twins , featuring big data as a core component. The expertise of the engineers at each demonstration was truly amazing, specifically at one Robotic QA display.

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CTOvision

AUGUST 11, 2021

Read Sylvia Jablonski explain how big data companies like Palantir Technologies, Inc. Big […].

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TechCrunch

JUNE 22, 2022

Zenysis Technologies , a big data startup headquartered in San Francisco and Cape Town, announced today that it has closed $13.3 So this virtual control room created real-time data for the government which they used to mount a fast, effective and coordinated response to the outbreak.”. million in a Series B round.

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CIO

JANUARY 19, 2024

Data scientist is one of the hottest jobs in IT. Companies are increasingly eager to hire data professionals who can make sense of the wide array of data the business collects. According to data from PayScale, $99,842 is the average base salary for a data scientist in 2024.

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CIO

MAY 6, 2024

The Data and Cloud Computing Center is the first center for analyzing and processing big data and artificial intelligence in Egypt and North Africa, saving time, effort and money, thus enhancing new investment opportunities.

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CIO

SEPTEMBER 12, 2024

Sentí empatía con los directores de datos que se enfrentaban a la resistencia de ejecutivos que recordaban inversiones similares en big data , lagos de datos, lakehouses y migraciones a la nube. La empresa investiga dos plataformas de automatización de procesos empresariales de bajo código, Appian Data Fabric y Pega Process Fabric.

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InfoWorld

APRIL 3, 2024

Apache Spark defined Apache Spark is a data processing framework that can quickly perform processing tasks on very large data sets, and can also distribute data processing tasks across multiple computers, either on its own or in tandem with other distributed computing tools. To read this article in full, please click here

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CIO

JUNE 13, 2024

What is a data analyst? Data analysts work with data to help their organizations make better business decisions. Using techniques from a range of disciplines, including computer programming, mathematics, and statistics, data analysts draw conclusions from data to describe, predict, and improve business performance.

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Data Analytics Transportation Business Intelligence 246

KitelyTech

AUGUST 13, 2023

Working with big data is a challenge that every company needs to overcome to see long-term success in increasingly tough markets. Dealing with big data isn’t just one issue, though. It is dealing with a series of challenges relating to everything from how to acquire data to what to do with data and even data security.

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O'Reilly Media - Data

AUGUST 16, 2018

The deployment of big data tools is being held back by the lack of standards in a number of growth areas. Technologies for streaming, storing, and querying big data have matured to the point where the computer industry can usefully establish standards. The following sections will look at each area.

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CTOvision

APRIL 27, 2020

Read Shinie Bentotahewa and Chaminda Hewage take a look at the challenges and obstacles faced by Big Data applications due to the GDPR on Infosec Magazine : The primary focus of the General Data Protection Regulation (GDPR) framework is on protecting the rights of individuals to privacy, without compromising their personal data stored by state […]. (..)

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CIO

MARCH 19, 2024

Airbus, a potential acquirer of the IT services company’s big data and security business, has walked away from the deal after completing its “due diligence” investigation. Airbus already has a cybersecurity business of its own, and manages vast quantities of data generated by its earth observation satellites.

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CIO

NOVEMBER 18, 2024

Le imprese più lungimiranti, guidate da direttori dell’IT con un’ampia visione, abbracciano nuovi paradigmi, come lo sviluppo Agile, la valorizzazione dei big data con l’AI e la collaborazione con il top management. Il tutto per soddisfare l’obiettivo strategico di realizzare l’ordine B2B perfetto”.

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DataRobot

OCTOBER 18, 2022

Organizations are looking for AI platforms that drive efficiency, scalability, and best practices, trends that were very clear at Big Data & AI Toronto. DataRobot Booth at Big Data & AI Toronto 2022. Monitoring and Managing AI Projects with Model Observability.

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