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.

Machine Learning 107

Machine Learning Artificial Inteligence Scalability Data Engineering 107

Progress

DECEMBER 30, 2019

Another cloud service I’m asked about is AWS Amplify from another popular cloud giant. Assuming you’re able to choose the best tool for the job, let’s contrast AWS Amplify with Kinvey, our serverless development platform for business apps. Where Does AWS Amplify Fit? When Should I Use Progress Kinvey?

AWS 10

AWS DevOps Disaster Recovery Serverless 10

ParkMyCloud

JANUARY 17, 2020

Each of the ‘big three’ cloud providers (AWS, Azure, GCP) offer a number of cloud certification options that individuals can get to validate their cloud knowledge and skill set, while helping them advance in their careers and broaden the scope of their achievements. . Amazon Web Services (AWS) Certifications.

Google Cloud 9

Google Cloud Azure AWS Cloud 9

Xebia

FEBRUARY 25, 2024

Data science is generally not operationalized Consider a data flow from a machine or process, all the way to an end-user. 2 In general, the flow of data from machine to the data engineer (1) is well operationalized. You could argue the same about the data engineering step (2) , although this differs per company.

Applications 130

Applications Technical Review Software Review Azure 130

O'Reilly Media - Ideas

MARCH 31, 2020

In the best case scenario, the trained neural network accurately represents the underlying phenomenon of interest and produces the correct output even when presented with new input data the model didn’t see during training. It turns out that type of data infrastructure is also the foundation needed for building AI products.

Product Management 137

Product Management Artificial Inteligence Machine Learning Software Review 137

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. Data analysis and databases Data engineering was by far the most heavily used topic in this category; it showed a 3.6%

Trends 116

Trends Technical Review Technology Artificial Inteligence 116

Netflix Tech

MAY 26, 2020

Service Segmentation: The ease of the cloud deployments has led to the organic growth of multiple AWS accounts, deployment practices, interconnection practices, etc. VPC Flow Logs VPC Flow Logs is an AWS feature that captures information about the IP traffic going to and from network interfaces in a VPC. 43416 5001 52.213.180.42

Network 60

Network IPv6 AWS Infrastructure 60

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. For example, CIS guidelines describe detailed configuration settings to secure your AWS account.

Cloud 52

Cloud Data Firewall AWS 52

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. The first quantum computers are now available through cloud providers like IBM and Amazon Web Services (AWS). Data engineering was the dominant topic by far, growing 35% year over year.

Trends 134

Trends Technical Review Technology Software Review 134

ParkMyCloud

MAY 29, 2019

In addition, they also have a strong knowledge of cloud services such as AWS, Google or Azure, with experience on ITSM, I&O, governance, automation, and vendor management. BI Analyst can also be described as BI Developers, BI Managers, and Big Data Engineer or Data Scientist. IoT Engineer.

Trends 72

Trends Cloud IoT Artificial Inteligence 72

Altexsoft

JULY 19, 2022

As the picture above clearly shows, organizations have data producers and operational data on the left side and data consumers and analytical data on the right side. Data producers lack ownership over the information they generate which means they are not in charge of its quality. It works like this.

Architecture 52

Architecture Data Analytics Data Engineering 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

Apiumhub

APRIL 8, 2021

Vincent Granville is the Co-founder and the Executive Data Scientist at Data Science Central ( you may find it in top data science blogs ), one of the most popular online resources for both professionals and enthusiasts in Big Data, analytics, and data science. Carla Gentry. Hilary Mason. Kristen Kehrer.

Artificial Inteligence 109

Artificial Inteligence Technical Advisors Data Machine Learning 109

O'Reilly Media - Ideas

JANUARY 25, 2022

A quick look at bigram usage (word pairs) doesn’t really distinguish between “data science,” “data engineering,” “data analysis,” and other terms; the most common word pair with “data” is “data governance,” followed by “data science.” Usage of content about C is essentially flat, down 3%.)

Trends 110

Trends Technical Review Technology Artificial Inteligence 110

Datavail

SEPTEMBER 8, 2022

According to an IDG survey , companies now use an average of more than 400 different data sources for their business intelligence and analytics processes. What’s more, 20 percent of these companies are using 1,000 or more sources, far too many to be properly managed by human data engineers. Conclusion.

Data 40

Data Nonprofit Quality Assurance Education 40

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. AWS Lambda) only change the nature of the beast.

Programming 145

Programming Cloud Artificial Inteligence Machine Learning 145