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

Altexsoft

JULY 23, 2020

It facilitates collaboration between a data science team and IT professionals, and thus combines skills, techniques, and tools used in data engineering, machine learning, and DevOps — a predecessor of MLOps in the world of software development. MLOps lies at the confluence of ML, data engineering, and DevOps.

Artificial Inteligence 145

Artificial Inteligence Machine Learning DevOps Tools 145

DevOps.com

JANUARY 27, 2023

Data streams are all the rage. Once a niche element of data engineering, streaming data is the new normal—more than 80% of Fortune 100 companies have adopted Apache Kafka, the most common streaming platform, and every major cloud provider (AWS, Google Cloud Platform and Microsoft Azure) has launched its own streaming service.

Data 124

Data Google Cloud Azure AWS 124

Dzone - DevOps

DECEMBER 27, 2023

This post focuses on elevating our data engineering game, streamlining your data workflows, and significantly cutting computing costs. The need to optimize offline data pipeline optimization has become a necessity with the growing complexity and scale of modern data pipelines.

Data 45

Data Data Engineering AWS Big Data 45

Dzone - DevOps

FEBRUARY 20, 2023

This is a recording of a breakout session from AWS Heroes at re:Invent 2022, presented by AWS Hero Zainab Maleki. In software engineering, we've learned that building robust and stable applications has a direct correlation with overall organization performance. Posted with permission.

Software Engineering 59

Software Engineering Engineering Software Data 59

ParkMyCloud

DECEMBER 11, 2020

With the combined knowledge from our previous blog posts on free training resources for AWS and Azure , you’ll be well on your way to expanding your cloud expertise and finding your own niche. More Free Training Resources: 7 Favorite AWS Training Resources. 9 Free Azure Training Resources. Google Cloud Best Practices: 2020 Roundup.

Google Cloud 97

Google Cloud Training Resources Cloud 97

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. Key components of an MLOps cycle.

Artificial Inteligence 105

Artificial Inteligence Machine Learning Engineering Data Engineering 105

Dzone - DevOps

DECEMBER 29, 2023

In Part 1 of our series explored the strategies for enhancing Airflow data pipelines using Apache Hive on AWS EMR. In this concluding Part 2, we will extensively explore Apache Spark , another pivotal element in our comprehensive data engineering toolkit.

Data 40

Data Analytics AWS Data Engineering 40

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

Hu's Place - HitachiVantara

NOVEMBER 11, 2018

This will be a blend of private and public hyperscale clouds like AWS, Azure, and Google Cloud Platform. They are a Premier Consulting Partner in the Amazon Web Services (AWS) Partner Network (APN) and a Microsoft Azure Silver Partner. REAN Cloud has expertise working with the hyperscale public clouds.

Cloud 78

Cloud Google Cloud Azure AWS 78

High Scalability

MAY 26, 2020

Learn the stuff they don't teach you in the AWS docs. Filter out the distracting hype, and focus on the parts of AWS that you'd be foolish not to use. Learn the Good Parts of AWS. Created by former senior-level AWS engineers of 15 years. Stream is currently also hiring Devops and Python/Go developers in Amsterdam.

Education 40

Education System Design AWS Scalability 40

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 45

Course Training Artificial Inteligence Machine Learning 45

ParkMyCloud

JULY 30, 2019

DBU for their Standard product on the Data Engineering Light tier to $0.55 for the Premium product on the Data Analytics tier. Helpfully, they do offer online calculators for both Azure and AWS to help estimate cost including underlying infrastructure. The Azure Databricks pricing example can be seen here.

Azure 40

Azure AWS Analytics Machine Learning 40

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

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

O'Reilly Media - Ideas

FEBRUARY 18, 2020

Also: infrastructure and operations is trending up, while DevOps is trending down. These trends are also implicated in the rise of infrastructure and ops, which reflects both the limitations of DevOps and the challenges posed by the shift to cloud native design. A drill-down into data, AI, and ML topics. Coincidence?

Technical Review 138

Technical Review Microservices Data Engineering Architecture 138

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

Xebia

FEBRUARY 25, 2024

DevOps may sound familiar, but nowadays there are a lot more terms: LLMOps, LegOps (no, not Lego-Ops), and of course MLOps. Data science is generally not operationalized Consider a data flow from a machine or process, all the way to an end-user. Machine learning operations: what and why MLOps, what the fuzz?

Applications 130

Applications Technical Review Software Review Azure 130

OpenCredo

FEBRUARY 6, 2024

Setup Now that we have the problem we are using for the experiment (CV Q&A chatbot), our core methodology (RAG), and the data to form our knowledge base (fictitious CVs), we can think about how we want to implement this and the technologies we want to try out. The two main services we will be using are AWS Bedrock and Azure OpenAI.

Artificial Inteligence 59

Artificial Inteligence Knowledge Base AWS Azure 59

O'Reilly Media - Ideas

JANUARY 25, 2024

Before that, cloud computing itself took off in roughly 2010 (AWS was founded in 2006); and Agile goes back to 2000 (the Agile Manifesto dates back to 2001, Extreme Programming to 1999). Data analysis and databases Data engineering was by far the most heavily used topic in this category; it showed a 3.6%

Trends 115

Trends Technical Review Technology Artificial Inteligence 115

Altexsoft

JANUARY 26, 2022

In recent years, it’s getting more common to see organizations looking for a mysterious analytics engineer. As you may guess from the name, this role sits somewhere in the middle of a data analyst and data engineer, but it’s really neither one nor the other. Here’s the video explaining how data engineers work.

Analytics 59

Analytics Engineering Data Engineering Software Engineering 59

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 Systems Review 52

InfoQ Culture Methods

DECEMBER 28, 2020

As 2020 is coming to an end, we created this article listing some of the best posts published this year. This collection was hand-picked by nine InfoQ Editors recommending the greatest posts in their domain. It's a great piece to make sure you don't miss out on some of the InfoQ's best content.

Continuous Delivery 98

Continuous Delivery Google Cloud Data Engineering Microservices 98

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

JANUARY 14, 2021

What specialists and their expertise level are required to handle a data warehouse? However, all of the warehouse products available require some technical expertise to run, including data engineering and, in some cases, DevOps. The comparison of the top data warehouse software products. Source: AWS.

Backup 115

Backup Azure Software Review Systems Review 115

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.

Trends 72

Trends Cloud IoT Artificial Inteligence 72

Daniel Bryant

SEPTEMBER 13, 2019

What was worth noting was that (anecdotally) even engineers from large organisations were not looking for full workload portability (i.e. There were also two patterns of adoption of HashiCorp tooling I observed from engineers that I chatted to: Infrastructure-driven?

Infrastructure 8

Infrastructure Azure Software Engineering Cloud 8

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

Coforge

AUGUST 20, 2019

Outsourcing: Some of the work related to data engineering and DevOps/SRE may be outsourced to concentrate resources towards achieving the business goals. #2 A DevOps/SRE approach is essential for the project life cycle. I truly believe that Machine Learning can really transform businesses, if used appropriately.

Machine Learning 8

Machine Learning Artificial Inteligence Enterprise Software Review 8

Honeycomb

MARCH 6, 2024

Challenge Phorest wanted a tool to help foster a culture of observability among the engineers at an affordable and predictable price. With their application stack hosted on AWS, Phorest delivers a premier software solution that empowers their salon and spa business customers to thrive. seconds to 4.8

Culture 57

Culture Software Review Systems Review Technical Review 57

Altexsoft

DECEMBER 15, 2021

The rest is done by data engineers, data scientists , machine learning engineers , and other high-trained (and high-paid) specialists. Also called DevOps for machine learning, MLOps is a mix of philosophy and practices that facilitates mutual understanding between a data science team and operations specialists.

Machine Learning 59

Machine Learning Artificial Inteligence How To Azure 59

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 Machine Learning Artificial Inteligence Software Review 64

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.” Operations, DevOps, and SRE. That decline continues.

Trends 109

Trends Technical Review Technology Artificial Inteligence 109

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. Operations or DevOps or SRE. FaaS, a.k.a.

Programming 145

Programming Cloud Artificial Inteligence Machine Learning 145

UruIT

APRIL 27, 2020

AWS has removed all ML barriers that have traditionally slowed down devs and data scientists. Pricing: AWS offers a pay-as-you-go model so you only pay for the services you consume and once you stop using them, there are no additional costs or termination fees. . Amazon Web Services .

Artificial Inteligence 78

Artificial Inteligence Machine Learning Azure Software Review 78

UruIT

JULY 23, 2019

AWS has removed the barriers to machine learning that have traditionally slowed down developers and data scientists. Pricing: AWS offers a pay-as-you-go model. MathWork focused on the development of these tools in order to become experts on high-end financial use and data engineering contexts. Amazon Web Services.

Artificial Inteligence 81

Artificial Inteligence Machine Learning Azure Software Review 81

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. Data integration and warehousing.

Data 40

Data Nonprofit Quality Assurance Education 40