CIO

AUGUST 18, 2022

You can intuitively query the data from the data lake. Users coming from a data warehouse environment shouldn’t care where the data resides,” says Angelo Slawik, data engineer at Moonfare. Now users can write their own scripts and run them over the data,” he explains. .

Data 210

Data Technical Advisors Technical Review Artificial Inteligence 210

CIO

AUGUST 5, 2022

Klipfolio: Klipfolio is designed to enable users to access and combine data from hundreds of services without writing any code. It leverages pre-built, curated instant metrics and a powerful data modeler, making it a good tool for building custom dashboards. It also features a drag-and-drop interface. It also has a mobile app.

Data 214

Data Analytics Travel Business Intelligence 214

CIO

SEPTEMBER 2, 2022

Software engineers are one of the most sought-after roles in the US finance industry, with Dice citing a 28% growth in job postings from January to May. The most in-demand skills include DevOps, Java, Python, SQL, NoSQL, React, Google Cloud, Microsoft Azure, and AWS tools, among others. Data engineer.

Software Engineering 148

Software Engineering Data Engineering DevOps AWS 148

CIO

AUGUST 31, 2022

Software engineers are one of the most sought-after roles in the US finance industry, with Dice citing a 28% growth in job postings from January to May. The most in-demand skills include DevOps, Java, Python, SQL, NoSQL, React, Google Cloud, Microsoft Azure, and AWS tools, among others. Data engineer.

Software Engineering 148

Software Engineering Data Engineering DevOps AWS 148

Mobilunity

AUGUST 3, 2021

The cloud offers excellent scalability, while graph databases offer the ability to display incredible amounts of data in a way that makes analytics efficient and effective. Who is Big Data Engineer? Big Data requires a unique engineering approach. Big Data Engineer vs Data Scientist.

Big Data 52

Big Data Data Engineering Engineering Data 52

O'Reilly Media - Ideas

JUNE 4, 2019

Systems engineering and operations. Google Cloud Platform – Professional Cloud Developer Crash Course , June 6-7. Getting Started with Google Cloud Platform , June 24. AWS Certified Big Data - Specialty Crash Course , June 26-27. Azure Architecture: Best Practices , June 28.

Course 94

Course Training Artificial Inteligence Software Review 94

Altexsoft

JANUARY 14, 2021

In this article, we’ll take a closer look at the top cloud warehouse software, including Snowflake, BigQuery, and Redshift. We’ll review all the important aspects of their architecture, deployment, and performance so you can make an informed decision. Data warehouse architecture. Cloud data warehouse architecture.

Backup 115

Backup Azure Software Review Architecture 115

ParkMyCloud

JANUARY 17, 2020

Display a basic understanding of core AWS services, uses, and basic AWS architecture best practices. Demonstrate that they are capable of developing, deploying, and debugging cloud-based applications using AWS. Design and maintain network architecture for all AWS services. AWS Certified Big Data – Speciality.

Google Cloud 9

Google Cloud Azure AWS Cloud 9

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

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.

Artificial Inteligence 105

Artificial Inteligence Machine Learning Engineering Data Engineering 105

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

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. Real-Time Data Foundations: Flink , April 17.

Course 15

Course Artificial Inteligence Training Machine Learning 15

O'Reilly Media - Ideas

MARCH 1, 2023

Content about software development was the most widely used (31% of all usage in 2022), which includes software architecture and programming languages. 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 144

Trends Technical Review Technology Software Review 144

O'Reilly Media - Ideas

JUNE 5, 2019

Systems engineering and operations. Google Cloud Platform – Professional Cloud Developer Crash Course , June 6-7. Getting Started with Google Cloud Platform , June 24. AWS Certified Big Data - Specialty Crash Course , June 26-27. Azure Architecture: Best Practices , June 28.

Course 71

Course Training Artificial Inteligence Software Review 71

Altexsoft

APRIL 16, 2021

An overview of data warehouse types. Optionally, you may study some basic terminology on data engineering or watch our short video on the topic: What is data engineering. What is data pipeline. Online Analytical Processing Architecture. So let’s analyze OLAP workflow in such architecture.

Analytics 98

Analytics Analysis Storage Business Intelligence 98

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 142

Trends Technical Review Technology Artificial Inteligence 142

Capgemini

OCTOBER 10, 2024

Taking a RAG approach The retrieval-augmented generation (RAG) approach is a powerful technique that leverages the capabilities of Gen AI to make requirements engineering more efficient and effective. As a Google Cloud Partner , in this instance we refer to text-based Gemini 1.5 What is Retrieval-Augmented Generation (RAG)?

Artificial Inteligence 52

Artificial Inteligence Analysis Google Cloud Infrastructure 52

Altexsoft

JANUARY 22, 2020

As a result, it became possible to provide real-time analytics by processing streamed data. Please note: this topic requires some general understanding of analytics and data engineering, so we suggest you read the following articles if you’re new to the topic: Data engineering overview.

Analytics 20

Analytics Data IoT Analysis 20

Altexsoft

JULY 29, 2022

a runtime environment (sandbox) for classic business intelligence (BI), advanced analysis of large volumes of data, predictive maintenance , and data discovery and exploration; a store for raw data; a tool for large-scale data integration ; and. a suitable technology to implement data lake architecture.

Big Data 59

Big Data Data Google Cloud Open Source 59

Cloudera

MAY 13, 2021

Fixed Reports / Data Engineering jobs . Often mission-critical to the various lines of business (risk analytics, platform support, or data engineering), which hydrate critical data pipelines for downstream consumption. Fixed Reports / Data Engineering Jobs. Data Engineering jobs only.

Data Engineering 73

Data Engineering Cloud Weak Development Team Resources 73

Prisma Clud

JANUARY 15, 2025

In this article, well look at how you can use Prisma Cloud DSPM to add another layer of security to your Databricks operations, understand what sensitive data Databricks handles and enable you to quickly address misconfigurations and vulnerabilities in the storage layer.

Artificial Inteligence 52

Artificial Inteligence Cloud Data Storage 52

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. Cloud Computing on the Edge , June 11.

Course 63

Course Training Artificial Inteligence Machine Learning 63

Altexsoft

APRIL 26, 2022

We’ll dive deeper into Snowflake’s pros and cons, its unique architecture, and its features to help you decide whether this data warehouse is the right choice for your company. Data warehousing in a nutshell. As such, it is considered cloud-agnostic. Modern data pipeline with Snowflake technology as its part.

Weak Development Team 59

Weak Development Team Data Storage Technical Review 59

Altexsoft

OCTOBER 21, 2022

The technology was written in Java and Scala in LinkedIn to solve the internal problem of managing continuous data flows. The number of possible applications tends to grow due to the rise of IoT , Big Data analytics , streaming media, smart manufacturing, predictive maintenance , and other data-intensive technologies.

Weak Development Team 93

Weak Development Team Technical Review Systems Review Open Source 93

Capgemini

JANUARY 17, 2023

Here are four resolutions to make your data strategy pay off this year. Reassess your data architecture. Most executives (72 percent) say that data, both fragmented and with poor quality, is likely to be the biggest issue when aspiring to achieve AI goals. REASSESS YOUR DATA ARCHITECTURE.

Strategy 52

Strategy Technical Review Data Weak Development Team 52

Apiumhub

APRIL 18, 2019

Nowadays Architecture Trends, from Monolith to Microservices and Serverless by Alberto Salazar. Evolving a Pragmatic, Clean Architecture – A Craftsman’s Guide by Victor Rentea. Alex Soto – Java Champion, Engineer @ Red Hat. David Gageot – Developer Advocate at Google Cloud. See you there?

Technical Review 57

Technical Review Microservices Software Review CTO Coach 57

Mobilunity

DECEMBER 27, 2024

Neural Network Architectures Understanding various neural network architectures from convolutional neural networks (CNNs) for image tasks to transformers for NLP allows AI engineers to select and optimize suitable models for specific tasks. Do AI-specialized experts need to understand big data technologies?

Artificial Inteligence 52

Artificial Inteligence Technical Review Engineering Systems Review 52

Abhishek Tiwari

DECEMBER 22, 2017

Cheap storage and on-demand compute in the cloud coupled with the emergence of new big data frameworks and tools are forcing us to rethink the whole ETL and data warehousing architecture. In addition, this approach is more tailored for both structured as well unstructured data sets. Classic ETL.

Storage 40

Storage Big Data Google Cloud Analysis 40

Apiumhub

AUGUST 12, 2021

Twitter: [link] Steef-Jan Wiggers – Technical Integration Architect @HSO Steef-Jan Wiggers works in the Netherlands as a Technical Integration Architect at HSO and is one of InfoQ’s senior cloud editors. His current technical expertise focuses on integration platform implementations, Azure DevOps, and Cloud Solution Architectures.

Industry 59

Industry Technical Advisors CTO Coach Azure 59

Kentik

APRIL 11, 2016

Clustered computing for real-time Big Data analytics. The concept of parallel processing based on a “clustered” multi-computer architecture has a long history dating back at least as far as Gene Amdahl’s work at IBM in the 1960s. For more on how we make it work, see Inside the Kentik Data Engine.).

Big Data 40

Big Data Analytics Network Architecture 40

Confluent

OCTOBER 16, 2019

Using this data, Apache Kafka ® and Confluent Platform can provide the foundations for both event-driven applications as well as an analytical platform. With tools like KSQL and Kafka Connect, the concept of streaming ETL is made accessible to a much wider audience of developers and data engineers.

Data 19

Data Training Analytics Storage 19

Mobilunity

NOVEMBER 11, 2024

This knowledge allows engineers to create models able to learn from data and improve with time. Transformer architecture. Google Cloud Certified: Machine Learning Engineer. Model makers striving to understand Google Cloud’s large data and model management capabilities will appreciate it most of all.

Artificial Inteligence 52

Artificial Inteligence Handbook Engineering Technical 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 85

Continuous Delivery Google Cloud Data Engineering Microservices 85

Existek

SEPTEMBER 28, 2023

Therefore, it’s required to obtain good skills in data science. Model selection and design: AI developers choose appropriate machine learning algorithms and neural network architectures based on the problem at hand. Besides, their responsibilities include considering such factors as data type, volume, complexity, etc.

Artificial Inteligence 52

Artificial Inteligence Development How To Technical Review 52

Daniel Bryant

SEPTEMBER 13, 2019

This event obviously consisted of a self-selected audience of HashiFans, but it’s still worth mentioning that there was a decided pushback in relation to an organisation attempting to select “one cloud to rule them” that I’ve heard at previous events.

Infrastructure 8

Infrastructure Azure Software Engineering Cloud 8

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. Airflow architecture.

Weak Development Team 52

Weak Development Team Technical Review Software Review Data Engineering 52

O'Reilly Media - Ideas

JANUARY 25, 2022

What are the bigger changes shaping the future of software development and software architecture? 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.”

Trends 119

Trends Technical Review Technology Artificial Inteligence 119