Erik Bernhardsson

DECEMBER 15, 2020

I had my first job as a software engineer in 1999, and in the last two decades I've seen software engineering changing in ways that have made us orders of magnitude more productive. For instance: internet first created DVD-by-mail, but the real internet-native innovation was streaming video.).

Software Engineering 304

Software Engineering Engineering Tools Software 304

Confluent

FEBRUARY 6, 2019

This blog post focuses on how the Kafka ecosystem can help solve the impedance mismatch between data scientists, data engineers and production engineers. Impedance mismatch between data scientists, data engineers and production engineers. For now, we’ll focus on Kafka.

Artificial Inteligence 106

Artificial Inteligence Machine Learning Scalability Data Engineering 106

Progress

DECEMBER 30, 2019

AWS Amplify is a good choice as a development platform when: Your team is proficient with building applications on AWS with DevOps, Cloud Services and Data Engineers. You’re developing a greenfield application that doesn’t require any external data or auth systems. You have existing backend services developed on AWS.

AWS 52

AWS DevOps Disaster Recovery Serverless 52

Progress

DECEMBER 30, 2019

AWS Amplify is a good choice as a development platform when: Your team is proficient with building applications on AWS with DevOps, Cloud Services and Data Engineers. You’re developing a greenfield application that doesn’t require any external data or auth systems. You have existing backend services developed on AWS.

AWS 52

AWS DevOps Disaster Recovery Serverless 52

Altexsoft

AUGUST 25, 2020

That’s why a data specialist with big data skills is one of the most sought-after IT candidates. Data Engineering positions have grown by half and they typically require big data skills. Data engineering vs big data engineering. Big data processing. maintaining data pipeline.

Big Data 75

Big Data Data Engineering Engineering Data 75

Altexsoft

JULY 19, 2022

In the last few decades, we’ve seen a lot of architectural approaches to building data pipelines , changing one another and promising better and easier ways of deriving insights from information. There have been relational databases, data warehouses, data lakes, and even a combination of the latter two. What data mesh IS.

Architecture 52

Architecture Data Analytics Data Engineering 52

Apiumhub

AUGUST 12, 2021

Usually working on Java/Java EE and Spring technologies, but with focused interests like Rich Internet Applications, Testing, CI/CD and DevOps. His current technical expertise focuses on integration platform implementations, Azure DevOps, and Cloud Solution Architectures. Currently working for Hazelcast. Twitter: ??

Industry 59

Industry Technical Advisors CTO Coach Azure 59

DataRobot

MARCH 10, 2022

This “revolution” stems from breakthrough advancements in artificial intelligence, robotics, and the Internet of Things (IoT). Python is unarguably the most broadly used programming language throughout the data science community. The “Fourth Industrial Revolution” was coined by Klaus Schwab of the World Economic Forum in 2016.

Artificial Inteligence 52

Artificial Inteligence Artificial Intelligence Machine Learning IoT 52

Kentik

JANUARY 3, 2018

As part of the movement, organizations are also looking to benefit from the Internet of Things (IoT). And software-based network management tools silo flow data, imposing severe constraints on analytics methods that require network data correlation across many network locations. Kentik’s Scalable and Flexible IoT Analytics.

IoT 40

IoT Network Tools Big Data 40

Kentik

DECEMBER 5, 2016

Kentik NPM monitors network performance by capturing samples of live traffic with nProbe and sending the enhanced flow data to the Kentik Data Engine (KDE; Kentik’s distributed big data backend). Eric’s story illustrates why our operations team continues to use nProbe and Kentik NPM on a regular basis. How does it work?

Network 40

Network Performance Metrics Software Review 40

Strategy Driven

AUGUST 27, 2015

The Internet and cloud computing have revolutionized the nature of data capture and storage, tempting many companies to adopt a new 'Big Data' philosophy: collect all the data you can; all the time.

Big Data 33

Big Data Data Storage Journal 33

CIO

OCTOBER 18, 2023

Putting data to work to improve health outcomes “Predicting IDH in hemodialysis patients is challenging due to the numerous patient- and treatment-related factors that affect IDH risk,” says Pete Waguespack, director of data and analytics architecture and engineering for Fresenius Medical Care North America.

Artificial Inteligence 332

Artificial Inteligence Analytics Artificial Intelligence Machine Learning 332

Progress

DECEMBER 30, 2019

AWS Amplify is a good choice as a development platform when: Your team is proficient with building applications on AWS with DevOps, Cloud Services and Data Engineers. You’re developing a greenfield application that doesn’t require any external data or auth systems. You have existing backend services developed on AWS.

AWS 10

AWS DevOps Disaster Recovery Serverless 10

Altexsoft

JANUARY 22, 2020

Similar to a real world stream of water, continuous transition of data received the name streaming , and now it exists in different forms. Media streaming is one of them, but it’s only a visible part of an iceberg where data streaming is used. As a result, it became possible to provide real-time analytics by processing streamed data.

Analytics 20

Analytics Data IoT Analysis 20

O'Reilly Media - Ideas

JANUARY 25, 2024

While we like to talk about how fast technology moves, internet time, and all that, in reality the last major new idea in software architecture was microservices, which dates to roughly 2015. Who wants to learn about design patterns or software architecture when some AI application may eventually do your high-level design?

Trends 117

Trends Technical Review Technology Artificial Inteligence 117

Kentik

OCTOBER 25, 2016

How Scalable Architecture Boosts Accuracy in Detection. Though spectacular exploits against Internet infrastructure providers like Dyn are just a fraction of overall attacks, complacency is not a viable option. These issues are rooted in the inherent compute and storage limitations of scale-up detection architectures.

Scalability 40

Scalability Architecture Big Data Network 40

ParkMyCloud

JANUARY 17, 2020

Display a basic understanding of core AWS services, uses, and basic AWS architecture best practices. Design and maintain network architecture for all AWS services. AWS Certified Big Data – Speciality. For individuals who perform complex Big Data analyses and have at least two years of experience using AWS.

Google Cloud 9

Google Cloud Azure AWS Cloud 9

Altexsoft

FEBRUARY 8, 2021

Machine learning techniques analyze big data from various sources, identify hidden patterns and unobvious relationships between variables, and create complex models that can be retrained to automatically adapt to changing conditions. Comparison between traditional and machine learning approaches to demand forecasting.

Business Intelligence 87

Business Intelligence Analytics Analysis Data 87

Kentik

JULY 24, 2017

And we retain network data unsummarized for 90 days (longer by arrangement). Enabled by a scale-out big data architecture that’s purpose-built for network operations, these capabilities are critical for effective visibility. And we retain network data unsummarized for 90 days (longer by arrangement).

Cloud 40

Cloud Big Data Data Engineering Internet 40

Altexsoft

JULY 29, 2022

The biggest star of the Big Data world, Hadoop was named after a yellow stuffed elephant that belonged to the 2-year son of computer scientist Doug Cutting. The toy became the official logo of the technology, used by the major Internet players — such as Twitter, LinkedIn, eBay, and Amazon. Apache Hadoop architecture.

Big Data 59

Big Data Data Google Cloud Storage 59

Altexsoft

JUNE 26, 2023

All successful companies do it: constantly collect data. They track people’s behavior on the Internet, initiate surveys, monitor feedback, listen to signals from smart devices, derive meaningful words from emails, and take other steps to amass facts and figures that will help them make business decisions. No wonder only 0.5

Artificial Inteligence 52

Artificial Inteligence Machine Learning Data Systems Review 52

Altexsoft

MARCH 31, 2020

These can be data science teams , data analysts, BI engineers, chief product officers , marketers, or any other specialists that rely on data in their work. The simplest illustration for a data pipeline. Data pipeline components. Cloud data infrastructure means you don’t have physical hardware.

Data 76

Data Storage Analytics Data Center 76

BPM

JANUARY 18, 2019

Now we’re seeing AI dominating the conversations (without a lot of actual adoption in the early majority), and RPA creating a lot of buzz, though companies adopting it are starting to realize that scaling an RPA based automation architecture is flawed by design. This requires a new architecture capable of true scale and speed.

Artificial Inteligence 111

Artificial Inteligence Artificial Intelligence Machine Learning Weak Development Team 111

O'Reilly Media - Ideas

MARCH 1, 2023

Despite talk of “internet time,” our industry doesn’t change radically from day to day, month to month, or even year to year. Content about software development was the most widely used (31% of all usage in 2022), which includes software architecture and programming languages. It was the second-largest topic and showed 3.6%

Trends 135

Trends Technical Review Technology Software Review 135

Altexsoft

MARCH 16, 2021

Medical equipment and other Internet of Medical Things (IoMT) devices such as bedside monitors and under-the-mattress sensors stream billions of various measurements per day, providing a real-time picture of a patient’s condition and warnings of the slightest changes. Big data infrastructure in a nutshell. Staffing problems.

Big Data 116

Big Data Healthcare Applications Data 116

Altexsoft

OCTOBER 21, 2022

We describe information search on the Internet with just one word — ‘google’. The technology was written in Java and Scala in LinkedIn to solve the internal problem of managing continuous data flows. Kafka architecture. But for high availability and data loss prevention, it’s recommended that you have at least three brokers.

Weak Development Team 93

Weak Development Team Technical Review Systems Review Software Review 93

TIBCO - Connected Intelligence

AUGUST 10, 2020

Your data demands, like your data itself, are outpacing your data engineering methods and teams. You’ll discover that they all have identified data virtualization as a must-have addition to your data integration tooling and a critical enabler to a more modern, distributed data architecture.

Virtualization 69

Virtualization Data How To Data Engineering 69

Altexsoft

DECEMBER 14, 2022

Docker architecture core components. Docker Architecture. Docker uses a client-server architecture where the Docker client communicates with the Docker daemon via a RESTful API, UNIX sockets, or a network interface. The Good and the Bad of Serverless Architecture. Among them are containerd, kaniko, and BuildKit.

Weak Development Team 52

Weak Development Team Linux Operating System Virtualization 52

Netflix Tech

MAY 26, 2020

By default, each record captures a network internet protocol (IP) traffic flow (characterized by a 5-tuple on a per network interface basis) that occurs within an aggregation interval. Summary Providing Network Insight into the Cloud Network Infrastructure using VPC Flow Logs at hyper scale is made possible with the Sqooby architecture.

Network 60

Network IPv6 AWS Infrastructure 60

Kentik

OCTOBER 19, 2015

The problem hasn’t been that the data has been discounted or ignored, but rather that traditional approaches available for handling the data are obsolete and ineffective, making it difficult to extract actionable insight. The key realization here is that network telemetry data is big data.

Big Data 40

Big Data Analytics Network Data 40

O'Reilly Media - Ideas

SEPTEMBER 11, 2019

Machine learning, artificial intelligence, data engineering, and architecture are driving the data space. The Strata Data Conferences helped chronicle the birth of big data, as well as the emergence of data science, streaming, and machine learning (ML) as disruptive phenomena.

Conference 8

Conference Data Data Engineering Artificial Inteligence 8

Cloudera

OCTOBER 25, 2022

“They combine the best of both worlds: flexibility, cost effectiveness of data lakes and performance, and reliability of data warehouses.”. It allows users to rapidly ingest data and run self-service analytics and machine learning. Conclusion: Comprehensive data lakehouse security is critical .

Cloud 52

Cloud Data Firewall AWS 52

Kentik

JUNE 4, 2019

By the end of this post you should have a pretty good idea of how True Origin helps network operations and engineering, particularly for Internet Service Providers. To succeed at these goals, an ISP needs to define a robust, performant architecture and also a set of best practices. Maximizing cost-efficiency.

Video 56

Video Network Internet Groups 56

Altexsoft

MAY 14, 2021

The best-case scenario is when the speed with which the data is produced meets the speed with which it is processed. A single car connected to the Internet with a telematics device plugged in generates and transmits 25 gigabytes of data hourly at a near-constant velocity. Hadoop architecture layers. Apache Hadoop.

Big Data 78

Big Data Analytics Tools Applications 78

Kentik

DECEMBER 15, 2016

It monitors service delivery, detects DDoS attacks, optimizes internet peering, and unleashes innovation with unbounded ad hoc traffic analysis at scale.”. Network engineers have multiple use cases for network data. A fundamentally different architecture is required. Before the Cloud: Let’s Go Crazy.

UI/UX 40

UI/UX Innovation Big Data Network 40

Altexsoft

OCTOBER 26, 2022

To enable this conversion, a CDO uses digital information and modern technologies such as the cloud, the Internet of Things , mobile apps, social media, machine learning-based products, and digital marketing. Today, the CIO’s focus is primarily on a company’s IT architecture and infrastructure. Project management.

CTO 52

CTO Organization Technical Review Culture 52

Altexsoft

SEPTEMBER 28, 2021

Additionally, its standard library grants a lot of pre-built features that allow programmers to work with Internet protocols, manage operating systems, manipulate data, or integrate web services with less effort. Besides that, throwing out the GIL would degrade the performance of software with single-threaded architecture.

Weak Development Team 94

Weak Development Team Programming Software Review Systems Review 94