O'Reilly Media - Ideas

FEBRUARY 11, 2019

Highlights and use cases from companies that are building the technologies needed to sustain their use of analytics and machine learning. In a forthcoming survey, “Evolving Data Infrastructure,” we found strong interest in machine learning (ML) among respondents across geographic regions. AI and machine learning in the enterprise.

Big Data 85

Big Data Technology Tools Cloud 85

Altexsoft

FEBRUARY 11, 2023

This suggests that today, there are many companies that face the need to make their data easily accessible, cleaned up, and regularly updated. Hiring a well-skilled data architect can be very helpful for that purpose. To get a better understanding of a data architect’s role, let’s clear up what data architecture is.

Data 87

Data Data Engineering Big Data Architecture 87

Cloudera

NOVEMBER 27, 2017

In an earlier VISION post, The Five Markers on Your Big Data Journey , Amy O’Connor shared some common traits of many of the most successful data-driven companies. In this blog, I’d like to explore what I believe is the most important of those traits, building and fostering a culture of data. .

Big Data 41

Big Data Culture Data Telecommunications 41

TechCrunch

DECEMBER 1, 2020

DevOps continues to get a lot of attention as a wave of companies develop more sophisticated tools to help developers manage increasingly complex architectures and workloads. Blumberg led the company’s seed round in 2018. “Users didn’t know how to organize their tools and systems to produce reliable data products.”

Tools 214

Tools Data Weak Development Team Big Data 214

CIO

JUNE 7, 2022

Data analysts and others who work with analytics use a range of tools to aid them in their roles. Data analytics and data science are closely related. Data analytics is a component of data science, used to understand what an organization’s data looks like.

Analytics 322

Analytics Data Analysis Business Analytics 322

N2Growth Blog

JANUARY 10, 2017

Artificial Intelligence (AI) is at a tipping point, leading a watershed shift to digital intelligence by discovering previously unseen patterns, drawing new inferences, and identifying new relationships from vast amounts of data. Companies of scale need to gear up these new jobs and transform their organizations for this future.

Company 86

Company Artificial Inteligence Big Data Machine Learning 86

Kentik

MAY 23, 2017

Why Every ISP Needs a Robust Network Monitoring Solution. To do that in today’s network environment, ISPs need deeper network visibility. It used to be that cloud-scale network monitoring was within reach of only the biggest, richest organizations, those that were most software-savvy and R&D-heavy.

Network 40

Network Open Source Big Data Load Balancer 40

Apiumhub

FEBRUARY 6, 2023

In this event, hundreds of innovative minds, enterprise practitioners, technology providers, startup founders, and innovators come together to discuss ideas on data science, big data, ML, AI, data management, data engineering, IoT, and analytics. Interested in keeping up with international technology events?

Innovation 82

Innovation Data Machine Learning Artificial Inteligence 82

Erik Bernhardsson

APRIL 1, 2021

How to raise money, how to work with the board, how to run a company, and all that stuff. I'm extremely psyched to share with the world that I will be joining Oracle to work as a Senior Implementation Engineer, on Blockchain solutions for mid-size maritime companies! 10 years ago, companies didn't have big data teams.

Data Engineering 151

Data Engineering Engineering Blockchain Software Engineering 151

Apiumhub

APRIL 8, 2021

Adrian specializes in mapping the Database Management System (DBMS), Big Data and NoSQL product landscapes and opportunities. Ronald van Loon has been recognized among the top 10 global influencers in Big Data, analytics, IoT, BI, and data science. Ronald van Loon. Kirk Borne. Marcus Borba. Cindi Howson.

Artificial Inteligence 109

Artificial Inteligence Technical Advisors Data Machine Learning 109

Cloudera

JULY 27, 2021

This is an important step for our company and for our telecommunications and media customers and partners, adding significant momentum and acceleration to our development of solutions for the industry. Edge analytics by definition require in-network deployment. Big Data has long been a growth area in telecom,’ he told me.

Telecommunications 64

Telecommunications Data Architecture Big Data 64

Kentik

JUNE 13, 2016

Kentik delves deeper into your data for detection and defense. According to 2015 research reports published by Ponemon, Mandiant, and others, the median pre-detection dwell time for an intruder in a target network ranges at around 200 days. Reducing a network's intruder dwell time is mostly about detection.

Network 40

Network LAN Big Data Scalability 40

Mobilunity

NOVEMBER 30, 2022

This is a powerful way to understand the challenges and issues a company might face and the ways to address them. That’s why a lot of enterprises look for an experienced Big Data engineer to add to their team. According to Businesswire , the global Big Data analytics market is expected to reach $105 billion by 2027.

Data 52

Data How To Recruiting Comparison 52

Kentik

MAY 31, 2017

Freeing Your Network Teams From Legacy Limits. At Kentik, we firmly believe that network engineering, operations, and planning are critically dependent not only on the quality of traffic data but also the accessibility of that data. Unfortunately, that’s pretty much the status quo for network teams today.

Network 40

Network Tools Big Data Metrics 40

Battery Ventures

OCTOBER 7, 2020

Many companies built on the tenets of OpenCloud are actually benefitting from the current environment: The recession has made organizations more focused than ever on staying nimble and rapidly innovating to serve customers, which usually requires creating and deploying cloud-based software. What a difference a year makes.

Open Source 144

Open Source Cloud Google Cloud Azure 144

Kentik

JUNE 27, 2016

Protecting Your Network with Comprehensive, Timely Understanding. Network security depends on comprehensive, timely understanding of what’s happening on your network. NetFlow, IPFIX, sFlow), BGP routing tables, GeoIP data, and SNMP. Kentik Detect enables network data to be applied to enhance network security.

Network 40

Network Big Data Internet Data 40

Apiumhub

JUNE 22, 2021

In this event you will gain insight into radical ideas that are already proven to provide ROI in some of the most data-driven and innovative companies in the world as well as learn how to accelerate AI-driven transformation. Data Innovation Summit topics. Data Innovation Summit: networking platform.

Innovation 83

Innovation Data Technical Review Artificial Inteligence 83

Apiumhub

APRIL 5, 2022

With over 1000 practical case studies presented on the past 6 editions and with new geo events in the MEA and the APAC region, the event is a worldwide movement, ushering the community of data, analytics and AI practitioners across functions, companies, industries, sectors, countries and regions to collaborate, benchmark, share and innovate.

Innovation 52

Innovation Data Artificial Inteligence Case Study 52

Altexsoft

DECEMBER 9, 2020

In the era of global digital transformation , the role of data analysis in decision-making increases greatly. Still, today, according to Deloitte research, insight-driven companies are fewer than those not using an analytical approach to decision-making, even though the majority agrees on its importance. Stages of analytics maturity.

Analytics 102

Analytics Technical Review Technology Applications 102

Altexsoft

JUNE 29, 2021

MLEs are usually a part of a data science team which includes data engineers , data architects, data and business analysts, and data scientists. Who does what in a data science team. Machine learning engineers are relatively new to data-driven companies.

Artificial Inteligence 105

Artificial Inteligence Machine Learning Engineering Data Engineering 105

Kentik

SEPTEMBER 24, 2015

I’ve spent most of my career in networking or network management, including stints at Packet Design, a routing and traffic analytics company, as well as CoSine Communications and Lucent Technologies (by way of Livingston Enterprises). I’m excited to be writing my first blog post as VP Marketing at Kentik. Self-service friendly.

Network 40

Network Cloud Big Data Policies 40

Apps Associates

JULY 28, 2022

Use Case 1: Data integration for big data, data lakes, and data science. Efficiently load and transform data at scale into Data Lakes for data science and analytics. Load the data into object storage and create high-quality models more quickly using OCI data science.

Infrastructure 52

Infrastructure Cloud Data Linux 52

O'Reilly Media - Ideas

APRIL 9, 2019

A few months ago, I wrote about the differences between data engineers and data scientists. An interesting thing happened: the data scientists started pushing back, arguing that they are, in fact, as skilled as data engineers at data engineering. Let’s call this data scientist Bob.

Data Engineering 111

Data Engineering Engineering Data Technical Review 111

Hu's Place - HitachiVantara

NOVEMBER 11, 2018

Forbes notes that a full transition to the cloud has proved more challenging than anticipated and many companies will use hybrid cloud solutions to transition to the cloud at their own pace and at a lower risk and cost. This April, 47Lining, announced its Amazon Web Services (AWS) Industrial Time Series Data Connector Quick Start.

Cloud 78

Cloud Google Cloud Azure AWS 78

Cloudera

MAY 27, 2021

Big data and AI amplify the problem. “If Big data algorithms are smart, but not smart enough to solve inherently human problems. How do you avoid creating a technological loose cannon that can be used by racist groups to organize or cybercriminals to steal a senior citizen’s savings or a company’s closest-held secrets?

Artificial Inteligence 119

Artificial Inteligence Artificial Intelligence Technical Review Systems Review 119

Hu's Place - HitachiVantara

MAY 10, 2019

We’ve all received that phone call from our credit card company asking if we made a purchase in some foreign city. A Big Data Analytics pipeline– from ingestion of data to embedding analytics consists of three steps Data Engineering : The first step is flexible data on-boarding that accelerates time to value.

Data 90

Data Machine Learning Artificial Inteligence Weak Development Team 90

Mobilunity

MAY 20, 2023

Another Statista research showed that in 2021, technology companies provided women 1.8 This pay gap in a female software engineer salary discourages women from entering the tech industry. These women highlight the significant contributions women can make when working in technical roles, like women software engineer positions.

Technical Review 52

Technical Review Fractional CTO CTO Artificial Inteligence 52

Hacker Earth Developers Blog

JUNE 26, 2019

Neural Networks . The candidate should have a basic understanding of business or the industry in which he is applying as a data scientist. Prospective candidates should be good at collecting, analyzing, and making inferences from data. Machine learning : This is the art of classifying or grouping data for prediction.

Data 200

Data How To Recruiting Machine Learning 200

Altexsoft

OCTOBER 30, 2021

If you’re an executive who has a hard time understanding the underlying processes of data science and get confused with terminology, keep reading. We will try to answer your questions and explain how two critical data jobs are different and where they overlap. Data science vs data engineering.

Data Engineering 98

Data Engineering Engineering Data Machine Learning 98

Altexsoft

JANUARY 14, 2021

Before jumping into the comparison of available products right away, it will be a good idea to get acquainted with the data warehousing basics first. What is a data warehouse? A data warehouse is often abbreviated as DW or DWH. How to choose cloud data warehouse software: main criteria.

Backup 115

Backup Azure Software Review Systems Review 115

Kentik

JULY 19, 2017

We’re incredibly excited today to announce that KDDI, a leading global carrier and Fortune 500 company, has chosen to deploy the Kentik platform to drive planning, operating, and protecting their network assets and services. Kentik gives us the answers we need to build a better network.”. Get Modern Network Traffic Intelligence.

Network 40

Network .Net Data Center Big Data 40

Kentik

JULY 24, 2017

We spend a lot of time in this blog talking about the key capabilities that make Kentik Detect unique in the world of network management. Data is available for querying in under three seconds from receipt. And we retain network data unsummarized for 90 days (longer by arrangement).

Cloud 40

Cloud Big Data Data Engineering Internet 40

Confluent

FEBRUARY 6, 2019

So why did Uber (and many other tech companies) build its own platform and framework-independent machine learning infrastructure? This blog post focuses on how the Kafka ecosystem can help solve the impedance mismatch between data scientists, data engineers and production engineers. For now, we’ll focus on Kafka.

Machine Learning 107

Machine Learning Artificial Inteligence Scalability Data Engineering 107

Apiumhub

APRIL 1, 2021

Data Science and Big Data Analytics: Discovering, Analyzing, Visualizing and Presenting Data by by EMC Education Services. The whole data analytics lifecycle is explained in detail along with case study and appealing visuals so that you can see the practical working of the entire system.

Artificial Inteligence 52

Artificial Inteligence Data Handbook Machine Learning 52

Mobilunity

DECEMBER 21, 2022

Data is an important part of all areas of medicine and accounts for around 30% of the international data volume. Data is used in clinical trials, for predictive testing, electronic health records and disease registries. Data scientists specialize in a variety of tasks that can benefit businesses in different ways.

Data 52

Data How To Machine Learning Artificial Inteligence 52

Kentik

OCTOBER 25, 2016

Last week’s massive attack on DNS provider Dyn — with its attendant disruption to many web companies and their users — was yet another reminder of the severity of the DDoS threat. Is appliance-based detection keeping up, or is it inherently limited in ways that have real consequences for network protection? Big data to the rescue.

Scalability 40

Scalability Architecture Big Data Network 40

Kentik

DECEMBER 15, 2016

Kentik Detect Recognized by IDC for Cloud-Based Network Monitoring. At Kentik, we’re honored to have been recognized recently as an IDC Innovator for Cloud-Based Network Monitoring. But I think it also speaks to the importance of the cloud to the future of IT Operations Management in general and, more specifically, network monitoring.

UI/UX 40

UI/UX Innovation Big Data Network 40