O'Reilly Media - Ideas

MAY 1, 2019

Data science and data tools. Practical Linux Command Line for Data Engineers and Analysts , May 20. First Steps in Data Analysis , May 20. Data Analysis Paradigms in the Tidyverse , May 30. Data Visualization with Matplotlib and Seaborn , June 4. Expert Transport Layer Security (TLS) , June 13.

Course 46

Course Training Artificial Inteligence Machine Learning 46

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

Netflix Tech

MARCH 7, 2024

Under the hood, Titus is powered by Kubernetes , but it provides a thick layer of enhancements over off-the-shelf Kubernetes, to make it more observable , secure , scalable , and cost-efficient. Internally, we use a production workflow orchestrator called Maestro. Metaflow Hosting caches the response, so Amber can fetch it after a while.

System 90

System Machine Learning Artificial Inteligence Training 90

Apiumhub

AUGUST 12, 2021

This year you will have 6 unique tracks: Cloud Computing: IaaS, PaaS, SaaS DevOps: Microservices, Automation, ASRs Cybersecurity: Threats, Defenses, Tests Data Science: ML, AI, Big Data, Business Analytics Programming languages: C++, Python, Java, Javascript,Net Future & Inspire: Mobility, 5G data networks, Diversity, Blockchain, VR.

Industry 59

Industry Technical Advisors CTO Coach Azure 59

O'Reilly Media - Ideas

JULY 15, 2020

Microservices seem to be everywhere. Scratch that: talk about microservices seems to be everywhere. So we wanted to determine to what extent, and how, O’Reilly subscribers are empirically using microservices. Here’s a summary of our key findings: Most adopters are successful with microservices. And that’s the problem.

Microservices 138

Microservices Weak Development Team Survey Architecture 138

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. Native frameworks.

Big Data 63

Big Data Data Storage Microservices 63

O'Reilly Media - Ideas

FEBRUARY 18, 2020

Security is surging. Aggregate security usage spiked 26% last year, driven by increased usage for two security certifications: CompTIA Security (+50%) and CompTIA CySA+ (+59%). There’s plenty of security risks for business executives, sysadmins, DBAs, developers, etc., to be wary of. This follows a 3% drop in 2018.

Technical Review 137

Technical Review Microservices Data Engineering Architecture 137

d2iq

FEBRUARY 19, 2021

Components that are unique to data engineering and machine learning (red) surround the model, with more common elements (gray) in support of the entire infrastructure on the periphery. Before you can build a model, you need to ingest and verify data, after which you can extract features that power the model.

Artificial Inteligence 103

Artificial Inteligence Machine Learning Technical Review Software Review 103

CIO

DECEMBER 22, 2022

DataOps (data operations) is an agile, process-oriented methodology for developing and delivering analytics. It brings together DevOps teams with data engineers and data scientists to provide the tools, processes, and organizational structures to support the data-focused enterprise. What is DataOps?

Analytics 314

Analytics Data Engineering Machine Learning Artificial Inteligence 314

O'Reilly Media - Ideas

MARCH 6, 2019

Data science and data tools. Practical Linux Command Line for Data Engineers and Analysts , March 13. Data Modelling with Qlik Sense , March 19-20. Foundational Data Science with R , March 26-27. What You Need to Know About Data Science , April 1. Network Security Testing with Kali Linux , March 25.

Course 10

Course Artificial Inteligence Training Machine Learning 10

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. Microservices saw a 20% drop. Many developers expressed frustration with microservices during the year and argued for a return to monoliths.

Trends 114

Trends Technical Review Technology Artificial Inteligence 114

Hu's Place - HitachiVantara

JANUARY 3, 2019

In order to utilize the wealth of data that they already have, companies will be looking for solutions that will give comprehensive access to data from many sources. More focus will be on the operational aspects of data rather than the fundamentals of capturing, storing and protecting data.

Trends 86

Trends Artificial Inteligence Data Center Machine Learning 86

Apiumhub

SEPTEMBER 20, 2023

Tech Conferences Compass Tech Summit – October 5-6 Compass Tech Summit is a remarkable 5-in-1 tech conference, encompassing topics such as engineering leadership, AI, product management, UX, and data engineering that will take place on October 5-6 at the Hungarian Railway Museum in Budapest, Hungary.

Conference 96

Conference Artificial Inteligence UI/UX Machine Learning 96

Existek

JANUARY 11, 2022

The cloud computing market covers many areas like business processes, infrastructure, platform, security, management, analytics supported by cloud providers. Along with meeting customer needs for computing and storage, they continued extending services by presenting products dealing with analytics, Big Data, and IoT. Business apps.

Azure 52

Azure AWS Cloud How To 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 10

AWS DevOps Disaster Recovery Serverless 10

O'Reilly Media - Ideas

MARCH 1, 2023

It’s gratifying when we see an important topic come alive: zero trust, which reflects an important rethinking of how security works, showed tremendous growth. Software development is followed by IT operations (18%), which includes cloud, and by data (17%), which includes machine learning and artificial intelligence. growth over 2021.

Trends 132

Trends Technical Review Technology Software Review 132

Kentik

APRIL 11, 2016

That’s not acceptable in use cases such as troubleshooting or security, where every minute of query latency means prolonged downtime or poor user experience, either of which can directly impact revenue or productivity. For more on how we make it work, see Inside the Kentik Data Engine.).

Big Data 40

Big Data Analytics Network Architecture 40

Abhishek Tiwari

FEBRUARY 26, 2020

There are no hard-and-fast rules to figure out interdependency between technology architecture and engineering organization but below is what I think can really work well for product startup. Secure you APIs via standard based authentication (JWT tokens). Architecture: Small microservices targeting new features.

Architecture 81

Architecture MVC Engineering Technology 81

O'Reilly Media - Ideas

MARCH 1, 2022

DeepMind has released some information about AlphaCode, which solves problems from coding competitions well enough to put it in the mid range of competitors. And Holochain is a decentralized framework for building peer-to-peer microservices–no cloud provider needed. Security is an issue for any technology, and web3 is no different.

Trends 90

Trends Blockchain Serverless Malware 90

Kentik

NOVEMBER 16, 2015

KDE handles over 10B flow records/day with a microservice architecture that's optimized using metrics. Here at Kentik, our Kentik Detect service is powered by a multi-tenant big data datastore called Kentik Data Engine. Akamai uses it to support operational, performance, security, and efficiency use cases.

Metrics 40

Metrics Microservices Linux Architecture 40

Cloudera

APRIL 26, 2023

It offers features such as data ingestion, storage, ETL, BI and analytics, observability, and AI model development and deployment. The platform offers advanced capabilities for data warehousing (DW), data engineering (DE), and machine learning (ML), with built-in data protection, security, and governance.

Cloud 64

Cloud Data Load Balancer Storage 64

Kentik

FEBRUARY 7, 2023

This might mean a complete transition to cloud-based services and infrastructure or isolating an IT or business domain in a microservice, like data backups or auth, and establishing proof-of-concept. Either way, it’s a step that forces teams to deal with new data, network problems, and potential latency.

Network 59

Network Cloud Data Data Center 59

Altexsoft

JULY 19, 2022

This basic principle corresponds to that of agile software development or approaches such as DevOps, Domain-Driven Design, and Microservices: DevOps (development and operations) is a practice that aims at merging development, quality assurance, and operations (deployment and integration) into a single, continuous set of processes.

Architecture 52

Architecture Data Analytics Data Engineering 52

Altexsoft

JUNE 6, 2019

Critics emphasize that cashless operations discriminate customers without bank accounts and may undermine privacy and data security. Security and loss prevention are another use cases for the technology. Relying on knowledge from data when making decisions can help retailers “move faster,” thinks Adam Carrigan.

Artificial Inteligence 89

Artificial Inteligence Artificial Intelligence Retail Innovation 89

BPM

JANUARY 18, 2019

The microservice movement will reignite the need for orchestration. Some analyst is bound to rename BPM engines to Microservice Orchestration Engines (MOE).wait That augmentation must be in a form attractive to humans while enabling security, compliance, authenticity and auditability. wait did I just do that.

Artificial Inteligence 111

Artificial Inteligence Artificial Intelligence Machine Learning Weak Development Team 111

Daniel Bryant

SEPTEMBER 13, 2019

INDUSTRY TRENDS The importance workflows, SaaS, dev/ops, and community Earlier in the week the Datawire Ambassador team and I visited the fifth HashiConf US conference, delivered a presentation about implementing end-to-end security using Ambassador and Consul , attended many of the talks, and chatted to lots of our fellow attendees.

Infrastructure 8

Infrastructure Azure Software Engineering Cloud 8

Altexsoft

DECEMBER 14, 2022

delivering microservice-based and cloud-native applications; standardized continuous integration and delivery ( CI/CD ) processes for applications; isolation of multiple parallel applications on a host system; faster application development; software migration; and. Containers are lightweight, but you pay for this with security.

Weak Development Team 52

Weak Development Team Linux Operating System Virtualization 52

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

Altexsoft

OCTOBER 21, 2022

The technology was written in Java and Scala in LinkedIn to solve the internal problem of managing continuous data flows. process data in real time and run streaming analytics. All data goes through the middleman — in our case, Kafka — that manages messages and ensures their security. Red Hat , acquired by IBM.

Weak Development Team 93

Weak Development Team Technical Review Systems Review Software Review 93

Cloudera

OCTOBER 7, 2021

The concept of the data mesh architecture is not entirely new; Its conceptual origins are rooted in the microservices architecture, its design principles (i.e., PII data) of each data product, and the access rights for each different group of data consumers.

Architecture 123

Architecture Data Security Technical Review 123

O'Reilly Media - Ideas

JANUARY 25, 2022

For example, interest in security, after being steady for a few years, has suddenly jumped up, partly due to some spectacular ransomware attacks. What’s important for us isn’t the newsworthy attacks but the concomitant surge of interest in security practices—in protecting personal and corporate assets against criminal attackers.

Trends 110

Trends Technical Review Technology Artificial Inteligence 110

CIO

AUGUST 3, 2022

The target architecture of the data economy is platform-based , cloud-enabled, uses APIs to connect to an external ecosystem, and breaks down monolithic applications into microservices. To solve this, we’ve kept data engineering in IT, but embedded machine learning experts in the business functions. The cloud.

SDLC 341

SDLC IoT Machine Learning Artificial Inteligence 341

O'Reilly Media - Ideas

JANUARY 25, 2021

Usage data shows what content our members actually use, though we admit it has its own problems: usage is biased by the content that’s available, and there’s no data for topics that are so new that content hasn’t been developed. We haven’t combined data from multiple terms. Security and Privacy. Serverless (a.k.a.

Programming 145

Programming Cloud Artificial Inteligence Machine Learning 145