AWS Machine Learning - AI

JULY 15, 2024

Years ago, Mixbook undertook a strategic initiative to transition their operational workloads to Amazon Web Services (AWS) , a move that has continually yielded significant advantages. The data intake process involves three macro components: Amazon Aurora MySQL-Compatible Edition , Amazon S3, and AWS Fargate for Amazon ECS.

Generative AI 121

Generative AI Artificial Inteligence AWS Technical Review 121

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 52

AWS DevOps Disaster Recovery Serverless 52

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 52

AWS DevOps Disaster Recovery Serverless 52

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

Altexsoft

JANUARY 14, 2021

The 3rd generation data warehouses add more computing choices to MPP and offer different pricing models. By the level of back-end management involved: Serverless data warehouses get their functional building blocks with the help of serverless services, meaning they are fully-managed by third-party vendors. Source: AWS.

Backup 115

Backup Azure Software Review Architecture 115

AWS Machine Learning - AI

JUNE 20, 2024

Because Amazon Bedrock is serverless, you don’t have to manage any infrastructure. About the Authors Ori Nakar is a Principal cyber-security researcher, a data engineer, and a data scientist at Imperva Threat Research group. Eitan Sela is a Generative AI and Machine Learning Specialist Solutions Architect at AWS.

Artificial Inteligence 115

Artificial Inteligence UI/UX Generative AI Construction 115

O'Reilly Media - Ideas

MARCH 6, 2019

Get hands-on training in machine learning, AWS, Kubernetes, Python, Java, and many other topics. An Introduction to Amazon Machine Learning on AWS , April 29-30. Data science and data tools. Practical Linux Command Line for Data Engineers and Analysts , March 13. Data Modelling with Qlik Sense , March 19-20.

Course 15

Course Artificial Inteligence Training Machine Learning 15

O'Reilly Media - Ideas

JUNE 4, 2019

AWS Security Fundamentals , July 15. AWS Certified Security - Specialty Crash Course , July 25-26. Systems engineering and operations. AWS Access Management , June 6. AWS Certified Big Data - Specialty Crash Course , June 26-27. Getting Started with Amazon SageMaker on AWS , July 1.

Course 93

Course Training Artificial Inteligence Software Review 93

O'Reilly Media - Ideas

FEBRUARY 11, 2019

In the survey behind our upcoming report, “Evolving data infrastructure,” we found 85% of respondents indicated they had data infrastructure in at least one of the seven cloud providers we listed, with two-thirds (63%) using Amazon Web Services (AWS) for some portion of their data infrastructure.

Big Data 108

Big Data Technology Tools Cloud 108

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 Open Source 130

Existek

JANUARY 11, 2022

We suggest drawing a detailed comparison of Azure vs AWS to answer these questions. Azure vs AWS market share. What is Amazon AWS used for? Azure vs AWS features. Azure vs AWS comparison: other practical aspects. Azure vs AWS comparison: other practical aspects. Azure vs AWS: which is better?

Azure 52

Azure AWS Cloud How To 52

O'Reilly Media - Ideas

MAY 1, 2019

Fundamentals of Machine Learning with AWS , June 19. Building Machine Learning Models with AWS Sagemaker , June 20. Data science and data tools. Practical Linux Command Line for Data Engineers and Analysts , May 20. First Steps in Data Analysis , May 20. AWS CloudFormation Deep Dive , June 3-4.

Course 62

Course Training Artificial Inteligence Machine Learning 62

Cloudera

DECEMBER 20, 2023

At our recent Evolve Conference in New York we were extremely excited to announce our founding AI ecosystem partners: Amazon Web Services (“AWS“), NVIDIA, and Pinecone. That’s why we’re building an ecosystem of technology providers to make it easier, more economical, and safer for our customers to maximize the value they get from AI.

Artificial Inteligence 71

Artificial Inteligence Artificial Intelligence Enterprise Machine Learning 71

O'Reilly Media - Ideas

JUNE 5, 2019

AWS Security Fundamentals , July 15. AWS Certified Security - Specialty Crash Course , July 25-26. Systems engineering and operations. AWS Access Management , June 6. AWS Certified Big Data - Specialty Crash Course , June 26-27. Getting Started with Amazon SageMaker on AWS , July 1.

Course 69

Course Training Artificial Inteligence Software Review 69

Altexsoft

MARCH 30, 2023

What is Databricks Databricks is an analytics platform with a unified set of tools for data engineering, data management , data science, and machine learning. It combines the best elements of a data warehouse, a centralized repository for structured data, and a data lake used to host large amounts of raw data.

Weak Development Team 64

Weak Development Team Artificial Inteligence Machine Learning Software Review 64

Altexsoft

APRIL 26, 2022

The platform provides fast, flexible, and easy-to-use options for data storage, processing, and analysis. Initially built on top of the Amazon Web Services (AWS), Snowflake is also available on Google Cloud and Microsoft Azure. Modern data pipeline with Snowflake technology as its part. Well, almost serverless, to be exact.

Weak Development Team 59

Weak Development Team Data Storage Technical Review 59

The Citus Data

MARCH 31, 2023

Americas livestream, Citus open source user, real-time analytics, JSONB) Lessons learned: Migrating from AWS-Hosted PostgreSQL RDS to Self-Hosted Citus , by Matt Klein & Delaney Mackenzie of Jellyfish.co. (on-demand . :) 4 Citus customer talks Citus for real-time analytics at Vizor Games , by Ivan Vyazmitinov of Vizor Games.

Azure 84

Azure Open Source Virtualization Software Engineering 84

TechCrunch

APRIL 6, 2022

The company’s platform is designed to give data teams a unified platform to automate the orchestration of data engineering and analytics workloads, he says, ideally reducing the need for manual configuration. Rather, it was the ability to scale the productivity of the people who work with data.

Data 230

Data Technical Cofounder Weak Development Team Data Engineering 230

O'Reilly Media - Ideas

JANUARY 14, 2025

Building applications with RAG requires a portfolio of data (company financials, customer data, data purchased from other sources) that can be used to build queries, and data scientists know how to work with data at scale. Data engineers build the infrastructure to collect, store, and analyze data.

Trends 131

Trends Technology Security Artificial Inteligence 131

O'Reilly Media - Ideas

MARCH 1, 2023

The first quantum computers are now available through cloud providers like IBM and Amazon Web Services (AWS). Year-over-year growth for software architecture and design topics What about serverless? Serverless looks like an excellent technology for implementing microservices, but it’s been giving us mixed signals for several years now.

Trends 144

Trends Technical Review Technology Software Review 144

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.” That’s no longer true. Programming Languages.

Trends 117

Trends Technical Review Technology Artificial Inteligence 117

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 10

Conference Data Data Engineering Big Data 10

Altexsoft

NOVEMBER 7, 2022

You can hardly compare data engineering toil with something as easy as breathing or as fast as the wind. The platform went live in 2015 at Airbnb, the biggest home-sharing and vacation rental site, as an orchestrator for increasingly complex data pipelines. How data engineering works. What is Apache Airflow?

Weak Development Team 52

Weak Development Team Technical Review Software Review Data Engineering 52

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. serverless, a.k.a. FaaS, a.k.a.

Programming 145

Programming Cloud Artificial Inteligence Machine Learning 145

AWS Machine Learning - AI

APRIL 3, 2025

At the heart of this transformation is the OMRON Data & Analytics Platform (ODAP), an innovative initiative designed to revolutionize how the company harnesses its data assets. Some of these tools included AWS Cloud based solutions, such as AWS Lambda and AWS Step Functions.

AWS 84

AWS Generative AI Artificial Inteligence Data 84

AWS Machine Learning - AI

MARCH 31, 2025

Scalability and reliability backed by AWS infrastructure This means your agent systems can handle increasing workloads while maintaining consistent performance. Solution overview Each AWS service has its own configuration nuances, and missing just one detail can lead to serious vulnerabilities.

Systems Review 139

Systems Review System Artificial Inteligence AWS 139

Cloudera

DECEMBER 3, 2024

Amazon Athena is a serverless, interactive analytics service that provides a simplified and flexible way to analyze petabytes of data where it lives. Amazon Athena also makes it easy to interactively run data analytics using Apache Spark without having to plan for, configure, or manage resources.

Data 84

Data Disaster Recovery Airlines Policies 84