DevOps.com

OCTOBER 23, 2020

When the value of big data was finally embraced, thanks to new analysis capabilities developed in the late nineties and early aughts, the industry adapted its mindset toward storage by investing in on-premises data centers to help store the data that would drive better business decisions. When […].

Storage 114

Storage DevOps Data Data Center 114

CTOvision

DECEMBER 1, 2014

16-21 Nov 2014 the International Conference for High Performance Computing, Networking, Storage and Analysis (SC14) was hosted in New Orleans and once again it did not disappoint! With that in mind I thought I would tak. To read more please log in.

Conference 105

Conference Storage Analysis Performance 105

CTOvision

FEBRUARY 5, 2016

Cognitio ’s Bob Gourley, publisher of CTOvision , has been named one of the “Top 100 Influencers in the Big Data Landscape” by the leading force in influencer identification Onalytica. From their website: The Big Data technology and services market is one of the fastest growing, multi-billion dollar industries in the world.

Big Data 95

Big Data Data Software Review Technical Review 95

TechCrunch

SEPTEMBER 13, 2022

“DevOps engineers … face limitations such as discount program commitments and preset storage volume capacity, CPU and RAM, all of which cannot be continuously adjusted to suit changing demand,” Melamedov said in an email interview. He briefly worked together with Baikov at big data firm Feedvisor.

Cloud 243

Cloud Storage DevOps Case Study 243

Altexsoft

JUNE 7, 2021

Hadoop and Spark are the two most popular platforms for Big Data processing. They both enable you to deal with huge collections of data no matter its format — from Excel tables to user feedback on websites to images and video files. Which Big Data tasks does Spark solve most effectively? How does it work?

Big Data 98

Big Data Tools Data Storage 98

The Crazy Programmer

DECEMBER 13, 2020

Big Data Analysis for Customer Behaviour. Big data is a discipline that deals with methods of analyzing, collecting information systematically, or otherwise dealing with collections of data that are too large or too complex for conventional device data processing applications. Data Warehousing.

Engineering 270

Engineering Wireless 3D Programming 270

CTOvision

DECEMBER 16, 2014

It is no secret that today’s data intensive analytics are stressing traditional storage systems. SSD) to bolster the performance of traditional storage platforms and support the ever-increasing IOPS and bandwidth requirements of their applications.

Storage 104

Storage Analytics System Data 104

CTOvision

AUGUST 25, 2014

Leading organizations are changing the way they think about data with an enterprise data hub and driving everyday decisions and actions, from fraud prevention to insider threat analysis to exploratory analytics, with new information and new insights. The following is from Cloudera: Bring More Analysis to Your Data.

Analysis 98

Analysis Architecture Data Big Data 98

CIO

JUNE 7, 2022

Data analytics is a discipline focused on extracting insights from data. It comprises the processes, tools and techniques of data analysis and management, including the collection, organization, and storage of data. Data analysts use a number of methods and techniques to analyze data.

Analytics 203

Analytics Data Analysis Business Analytics 203

Toptal

DECEMBER 6, 2016

With the rise of big data and data science, storage and retrieval have become a critical pipeline component for data use and analysis. Recently, new data storage technologies have emerged. Which one is best suited for data engineering? But the question is: Which one should you choose?

Data Engineering 85

Data Engineering Storage Engineering Data 85

AWS Machine Learning - AI

MARCH 18, 2025

This step provides an accurate and efficient conversion of spoken words into a format suitable for further analysis. Text preprocessing The transcribed text undergoes preprocessing steps, such as removing identifying information, formatting the data, and enforcing compliance with relevant data privacy regulations.

Artificial Inteligence 106

Artificial Inteligence Technical Review Healthcare Systems Review 106

Infinidat

MARCH 10, 2021

Re-Thinking the Storage Infrastructure for Business Intelligence. With digital transformation under way at most enterprises, IT management is pondering how to optimize storage infrastructure to best support the new big data analytics focus. Adriana Andronescu. Wed, 03/10/2021 - 12:42.

Business Intelligence 98

Business Intelligence Storage Infrastructure Artificial Inteligence 98

CIO

OCTOBER 13, 2023

Data security architect: The data security architect works closely with security teams and IT teams to design data security architectures. Big data architect: The big data architect designs and implements data architectures supporting the storage, processing, and analysis of large volumes of data.

Data 199

Data Data Engineering Database Administration Artificial Inteligence 199

TechCrunch

SEPTEMBER 15, 2021

The startup was founded in Manchester (it now also has a base in Denver), and this makes it one of a handful of tech startups out of the city — others we’ve recently covered include The Hut Group, Peak AI and Fractory — now hitting the big leagues and helping to put it on the innovation map as an urban center to watch.

Artificial Inteligence 234

Artificial Inteligence Data Weak Development Team Artificial Intelligence 234

CTOvision

JANUARY 13, 2015

From NGA''s Press Release: NGA, DigitalGlobe application a boon to raster data storage, processing. Analysis Big Data CTO DoD and IC Intelligence Community Open Source Cloud Computing NGA' January 13, 2015. SPRINGFIELD, Va. — MrGeo is available at: https://github.com/ngageoint/mrgeo.

Open Source 138

Open Source Applications Big Data Analysis 138

Cloudera

JULY 15, 2019

Educating Data Analysts at Scale. Cloudera is pleased to announce, in partnership with Coursera, the launch of Modern Big Data Analysis with SQL , a three-course specialization now available on the Coursera platform. This sequence of courses teaches the essential skills for working with data of any size using SQL.

Big Data 59

Big Data Analysis Education Data 59

Altexsoft

AUGUST 25, 2020

Big data can be quite a confusing concept to grasp. What to consider big data and what is not so big data? Big data is still data, of course. Big data is tons of mixed, unstructured information that keeps piling up at high speed. Data engineering vs big data engineering.

Big Data 75

Big Data Data Engineering Engineering Data 75

TechCrunch

AUGUST 19, 2021

. “We believe we’re the first cloud-native platform for seafloor data,” said Anthony DiMare, CEO and cofounder (with CTO Charlie Chiau) of Bedrock. “This is a big data problem — how would you design the systems to support that solution? Better, faster, cheaper, and safer is a hell of a pitch.

Technical Cofounder 258

Technical Cofounder Cloud Data Off-The-Shelf 258

Altexsoft

MAY 14, 2021

Big Data enjoys the hype around it and for a reason. But the understanding of the essence of Big Data and ways to analyze it is still blurred. This post will draw a full picture of what Big Data analytics is and how it works. Big Data and its main characteristics. Key Big Data characteristics.

Big Data 78

Big Data Analytics Tools Applications 78

Cloudera

APRIL 6, 2022

Webb’s gimbaled antenna assembly, which includes the telescope’s high-data-rate dish antenna, must transmit about a Blu-ray’s worth of science data — that’s 28.6 The telescope’s storage ability is limited — 65 gigabytes — which requires regular sending back of data to keep from filling up the hard drive.

Big Data 103

Big Data Artificial Inteligence Data Machine Learning 103

Linux Academy

FEBRUARY 6, 2019

With the huge amount of data floating around your business, what you do with it is vital to your continued success. Big data has become crucial in helping businesses make decisions and stay ahead of the competition. Check out our new Big Data Course, Hadoop Quick Start to help your team’s data transformation.

Big Data 60

Big Data Training Data Linux 60

CTOvision

NOVEMBER 21, 2014

The video at this link and embedded below features Paytronix President Andrew Robbins in a discussion of big data. Data Insights provides restaurants and retailers with the tools and services to synthesize data from all these sources, including big data sources, to help uncover actionable guest insights.

Big Data 105

Big Data Analysis Storage Programming 105

CIO

JANUARY 19, 2024

Whether you’re looking to earn a certification from an accredited university, gain experience as a new grad, hone vendor-specific skills, or demonstrate your knowledge of data analytics, the following certifications (presented in alphabetical order) will work for you. Check out our list of top big data and data analytics certifications.)

Artificial Inteligence 190

Artificial Inteligence Data Machine Learning Azure 190

Hu's Place - HitachiVantara

SEPTEMBER 17, 2018

Big data refers to the use of data sets that are so big and complex that traditional data processing infrastructure and application software are challenged to deal with them. Big data is associated with the coming of the digital age where unstructured data begins to outpace the growth of structured data.

Big Data 55

Big Data Systems Review Virtualization System 55

CTOvision

FEBRUARY 4, 2015

If you are into technology and government and want to find ways to enhance your ability to serve big missions you need to be at this event, 25 Feb at the Hilton McLean Tysons Corner. Big data and its effect on the transformative power of data analytics are undeniable. Enabling Business Results with Big Data.

Fractional CTO 134

Fractional CTO Technical Review Big Data Analytics 134

CIO

JANUARY 20, 2023

A strong BI strategy can deliver accurate data and reporting capabilities faster to business users to help them make better business decisions in a more timely fashion. Whereas BI studies historical data to guide business decision-making, business analytics is about looking forward.

Business Intelligence 216

Business Intelligence Data Business Analytics Analytics 216

Altexsoft

JUNE 25, 2019

However, they often forget about the fundamental work – data literacy, collection, and infrastructure – that must be done prior to building intelligent data products. If we look at the hierarchy of needs in data science implementations, we’ll see that the next step after gathering your data for analysis is data engineering.

Data Engineering 106

Data Engineering Engineering Data Artificial Inteligence 106

TechCrunch

SEPTEMBER 28, 2022

The modern data stack consists of hundreds of tools for app development, data capture and integration, orchestration, analysis and storage. IT systems are becoming increasingly complex, what with the mass move to the cloud during the pandemic. And it’s getting bigger and more convoluted by the day.

Data 204

Data Banking Artificial Inteligence Machine Learning 204

CTOvision

JANUARY 18, 2015

This popular gathering is designed to enable dialogue about business and technical strategies to leverage today’s big data platforms and applications to your advantage. Big data and its effect on the transformative power of data analytics are undeniable. Enabling Business Results with Big Data.

Fractional CTO 113

Fractional CTO Program Management Programming Big Data 113

CIO

AUGUST 9, 2022

What is a data engineer? Data engineers design, build, and optimize systems for data collection, storage, access, and analytics at scale. They create data pipelines used by data scientists, data-centric applications, and other data consumers. Becoming a data engineer.

Data Engineering 197

Data Engineering Analytics Engineering Data 197

CTOvision

AUGUST 15, 2013

By Bob Gourley Cloudera and Zoomdata Introduce the Next Generation of Data Analytics in a 27 Aug webinar (11am Eastern). As the sheer volume of data grows, government agencies are confronted with the challenge of how to manage and analyze Big Data. Discuss next generation data analytics. Big Data Events'

Analytics 88

Analytics Big Data Data Architecture 88

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.

Big Data 52

Big Data How To Data Analytics 52

CTOvision

AUGUST 7, 2014

Purpose-built for petabyte-size machine data environments, X15 Enterprise enables IT organizations across all industries to solve their most demanding machine data problems. Machine data is a valuable and fast-growing category of Big Data. Analysis Architecture Big Data Apache Hadoop bigdata'

Enterprise 101

Enterprise Software Data Big Data 101

O'Reilly Media - Data

MAY 3, 2018

There are already systems for doing BI on sensitive data using hardware enclaves , and there are some initial systems that let you query or work with encrypted data (a friend recently showed me HElib , an open source, fast implementation of homomorphic encryption ). It’s time for data ethics conversations at your dinner table”.

Analytics 181

Analytics Artificial Inteligence Data Machine Learning 181

Openxcell

JUNE 9, 2023

All this raw information, patterns and details is collectively called Big Data. Big Data analytics,on the other hand, refers to using this huge amount of data to make informed business decisions. Let us have a look at Big Data Analytics more in detail. What is Big Data Analytics?

Big Data 52

Big Data Analytics Tools Data 52

Mobilunity

AUGUST 3, 2021

Big Data is a collection of data that is large in volume but still growing exponentially over time. It is so large in size and complexity that no traditional data management tools can store or manage it effectively. While Big Data has come far, its use is still growing and being explored.

Big Data 52

Big Data Data Engineering Engineering Data 52

CIO

MARCH 24, 2023

A framework for managing data 10 master data management certifications that will pay off Big Data, Data and Information Security, Data Integration, Data Management, Data Mining, Data Science, IT Governance, IT Governance Frameworks, Master Data Management

Government 214

Government Data Technical Review Policies 214