O'Reilly Media - Ideas

FEBRUARY 11, 2019

Many companies are just beginning to address the interplay between their suite of AI, big data, and cloud technologies. I’ll also highlight some interesting uses cases and applications of data, analytics, and machine learning. Data Platforms. Data Integration and Data Pipelines. Model lifecycle management.

Big Data 108

Big Data Technology Tools Cloud 108

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 Artificial Inteligence 98

Kentik

MARCH 7, 2023

As datasets scale and networks become distributed to free their data, the data gravity story begins to morph into a data complexity story. The more distributed an enterprise’s data, the more heterogeneous its sources. Cloud networks give operators a much wider surface area to protect against cyberattacks.

Network 99

Network Cloud Data Case Study 99

CIO

APRIL 22, 2022

Data science certifications. Organizations need data scientists and analysts with expertise in techniques for analyzing data. Data science teams. Data science is generally a team discipline. TensorFlow is a software library for machine learning used for training and inference of deep neural networks.

Data 210

Data Artificial Inteligence Machine Learning Analytics 210

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

TechCrunch

DECEMBER 1, 2020

Benamram said that it’s not uncommon for engineers to completely miss anomalies and for them to only have been brought to their attention by “CEO’s looking at their dashboards and suddenly thinking something is off.” Splunk acquires network observability service Flowmill. ” Not a great scenario.

Tools 214

Tools Data Weak Development Team Big Data 214

Abhishek Tiwari

DECEMBER 27, 2017

Kubernetes has emerged as go to container orchestration platform for data engineering teams. In 2018, a widespread adaptation of Kubernetes for big data processing is anitcipated. Organisations are already using Kubernetes for a variety of workloads [1] [2] and data workloads are up next. Key challenges.

Big Data 63

Big Data Data Storage Microservices 63

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

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

CIO

MARCH 21, 2022

Finance: Data on accounts, credit and debit transactions, and similar financial data are vital to a functioning business. But for data scientists in the finance industry, security and compliance, including fraud detection, are also major concerns. Data scientists can help with this process. What does a data scientist do?

Analytics 205

Analytics Data Technical Review Analysis 205

CIO

AUGUST 5, 2022

Key data visualization benefits include: Unlocking the value big data by enabling people to absorb vast amounts of data at a glance. Identifying errors and inaccuracies in data quickly. Network: Network visualizations show how data sets are related to one another in a network.

Data 214

Data Analytics Travel Business Intelligence 214

AWS Machine Learning - AI

NOVEMBER 20, 2024

Each interface endpoint is represented by one or more elastic network interfaces in your subnets, which is then used by Amazon Q Business to connect to the private database. She has experience across analytics, big data, ETL, cloud operations, and cloud infrastructure management. Data Engineer at Amazon Ads.

Data 106

Data AWS Groups Knowledge Base 106

CTOvision

JANUARY 28, 2015

Strata + Hadoop World is where big data''s most influential business decision makers, strategists, architects, developers, and analysts gather to shape the future of their businesses and technologies. If you want to tap into the opportunity that big data presents, you want to be there. Data scientists.

Big Data 109

Big Data Case Study Conference Study 109

Mobilunity

MAY 3, 2024

When it comes to financial technology, data engineers are the most important architects. As fintech continues to change the way standard financial services are done, the data engineer’s job becomes more and more important in shaping the future of the industry. Knowledge of Scala or R can also be advantageous.

Data Engineering 52

Data Engineering Fintech Engineering Data 52

Kentik

JULY 19, 2017

I recently had the chance to present at A10 Connect, a user conference for A10 Networks. Act 1: The Network Traffic Visibility Problem. Networks are delivery systems, like FedEx. Sadly, most large data networks operate in a similar vacuum of visibility. How do we efficiently plan and invest in the network?

Big Data 40

Big Data Network Data Systems Review 40

Kentik

OCTOBER 19, 2015

Turning data analytics into significant competitive advantage. Recently, the team at Kentik tweeted the following: “#Moneyball your network with deeper, real-time insights from #BigData NetFlow, SNMP & BGP in an easy to use #SaaS.” Like baseball, network operations is a field in which a huge volume of data is available.

Big Data 40

Big Data Analytics Network Data 40

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 203

Analytics Data Analysis Business Analytics 203

Altexsoft

JULY 29, 2022

Depending on how you measure it, the answer will be 11 million newspaper pages or… just one Hadoop cluster and one tech specialist who can move 4 terabytes of textual data to a new location in 24 hours. Developed in 2006 by Doug Cutting and Mike Cafarella to run the web crawler Apache Nutch, it has become a standard for Big Data analytics.

Big Data 59

Big Data Data Google Cloud Open Source 59

Kentik

JULY 18, 2016

Seeing Beneath the Surface with Post-Hadoop Big Data. Irwin’s story may be interesting, but what does it have to do with network traffic data? The answer is rooted in the experience of Kentik’s founders, who’ve spent decades building and operating some of the world’s biggest and most complex networks.

Big Data 40

Big Data Network Analytics Data 40

CIO

OCTOBER 18, 2023

German healthcare company Fresenius Medical Care, which specializes in providing kidney dialysis services, is using a combination of near real-time IoT data and clinical data to predict one of the most common complications of the procedure.

Artificial Inteligence 200

Artificial Inteligence Analytics Machine Learning Artificial Intelligence 200

Erik Bernhardsson

APRIL 1, 2021

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! I've spent most of my career working in data in some shape or form. Data as a subfield of software engineering has a crazy growth rate.

Data Engineering 162

Data Engineering Engineering Blockchain Software Engineering 162

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

Altexsoft

FEBRUARY 11, 2023

It serves as a foundation for the entire data management strategy and consists of multiple components including data pipelines; , on-premises and cloud storage facilities – data lakes , data warehouses , data hubs ;, data streaming and Big Data analytics solutions ( Hadoop , Spark , Kafka , etc.);

Data 87

Data Data Engineering Big Data Architecture 87

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. Graph processing.

Weak Development Team 52

Weak Development Team Big Data Data Artificial Inteligence 52

Battery Ventures

OCTOBER 7, 2020

Many of these organizations are also scooping up technology that facilitates team collaboration, which is critical in the current work-from-home environment; others are seeking new tools to keep their software and networks secure. We have outlined some of these in our previous Cloud Native Entrepreneur’s Playbook.

Open Source 144

Open Source Cloud Google Cloud Azure 144

Netflix Tech

MAY 26, 2020

Without having network visibility, it’s not possible to improve our reliability, security and capacity posture. Network Availability: The expected continued growth of our ecosystem makes it difficult to understand our network bottlenecks and potential limits we may be reaching. 43416 5001 52.213.180.42

Network 61

Network IPv6 AWS Infrastructure 61

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

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 Artificial Inteligence Machine Learning 200

AWS Machine Learning - AI

SEPTEMBER 3, 2024

Harnessing the power of big data has become increasingly critical for businesses looking to gain a competitive edge. However, managing the complex infrastructure required for big data workloads has traditionally been a significant challenge, often requiring specialized expertise.

Serverless 104

Serverless AWS Artificial Inteligence Big Data 104

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. Good problem-solving skills.

Artificial Inteligence 105

Artificial Inteligence Machine Learning Engineering Data Engineering 105

Hu's Place - HitachiVantara

MAY 10, 2019

Today’s analytic tools with modern compute and storage systems can analyze huge volumes of data in real time, integrate and visualize an intricate network of unstructured data and structured data, and generate meaningful insights, and provide real-time fraud detection. This is colloquially called data wrangling.

Data 90

Data Machine Learning Artificial Inteligence Weak Development Team 90

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 WAN 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 83

Innovation Data Artificial Inteligence Machine Learning 83

CTOvision

FEBRUARY 23, 2017

This is the place to dive deep into the latest on Big Data, Analytics, Artificial Intelligence, IoT, and the massive cybersecurity issues in all those topics. If you want to tap into the opportunity that big data presents, you want to be there. Find new ways to leverage your data assets across industries and disciplines.

Big Data 61

Big Data Case Study Artificial Intelligence Artificial Inteligence 61

Kentik

JANUARY 3, 2018

Looking into Network Monitoring in an IoT enabled network. As IoT adoption in the enterprise continues to take shape, organizations are finding that the diverse capabilities represent another massive increase in the number of devices and the data volumes generated by these devices in enterprise networks.

IoT 40

IoT Network Tools Big Data 40

CIO

JUNE 14, 2023

Big data exploded onto the scene in the mid-2000s and has continued to grow ever since. Today, the data is even bigger, and managing these massive volumes of data presents a new challenge for many organizations. Even if you live and breathe tech every day, it’s difficult to conceptualize how big “big” really is.

Data 97

Data Scalability Storage Big Data 97

Cloudera

JULY 27, 2021

While billing used to be one of two critical things for any successful telco (the other being the network), today’s digital service providers prioritise channels, ecosystems, payments and cloud service architectures in enterprise architecture. Edge analytics by definition require in-network deployment.

Telecommunications 64

Telecommunications Data Architecture Big Data 64