Knowledge Hut

MARCH 26, 2024

Solution architects work with developers, stakeholders, and other IT specialists to build unified and effective systems. Education & Skills Required: Bachelor's or Master's degree in Computer Science, Engineering, or related field. Extensive experience in software development, architecture design, and system integration.

Amazon Web Services 52

Amazon Web Services Google Cloud Computer Science AWS 52

Maxime Beauchemin

JANUARY 20, 2017

Unlike data scientists — and inspired by our more mature parent, software engineering  — data engineers build tools, infrastructure, frameworks, and services. In fact, it’s arguable that data engineering is much closer to software engineering than it is to a data science.

Data Engineering 130

Data Engineering Data Engineer Engineering ETL Tools 130

ProjectPro

DECEMBER 16, 2021

Consider an AI/ML system as the combination of "Data" and "Code." Data Scientist is the person who works majorly on the data and, through research, decides what data should be fed into the system (Machine Learning model). Additionally, they are expected to know operations and drive Auto ML systems.

Machine Learning 52

Machine Learning Engineering Pipeline-centric Database-centric 52

Grouparoo

OCTOBER 6, 2021

Test system with A/A test. 3 About the Storage Layer Efficiency details for queries 4 Analytics as the Secret Glue for Microservice Architectures What to measure: company metrics, team metrics, experiment metrics 5 Automate Your Infrastructure DevOps is good 6 Automate Your Pipeline Tests Treating data engineering like software engineering.

Data Engineering 52

Data Engineering Data Engineer Engineering Pipeline-centric 52

Knowledge Hut

OCTOBER 8, 2023

Picture yourself as a software engineer leading a team to launch new products and services for different clients. Software engineering is all about crafting lines of code to offer innovative solutions for enhanced business growth. When I started my career as a software engineer, I explored every task and responsibility.

Software Engineer 52

Software Engineer Software Engineering Project Engineering 52

Knowledge Hut

NOVEMBER 15, 2023

Looking for a position to test my skills in implementing data-centric solutions for complicated business challenges. Example 7: Individual with experience in statistical analysis and the ability to work on a wide array of data systems. Keen to have a better understanding of building complex systems, but simple for the teams to use.

Finance 98

Finance Business Intelligence Database-centric Certification 98

Knowledge Hut

DECEMBER 26, 2023

In other words, a Full Stack Developer is comfortable working with HTML, CSS, JavaScript, and PHP, as well as databases like MySQL. Additionally, most full stack developers have several years of experience working as web developer or software engineers. However, some employers may prefer candidates with a master's degree.

Food 52

Food Programming Language Transportation Manufacturing 52

Knowledge Hut

DECEMBER 26, 2023

Data Engineering is typically a software engineering role that focuses deeply on data – namely, data workflows, data pipelines, and the ETL (Extract, Transform, Load) process. According to reports by DICE Insights, the job of a Data Engineer is considered the top job in the technology industry in the third quarter of 2020.

Data Engineering 98

Data Engineering Data Engineer Engineering Pipeline-centric 98

ProjectPro

MAY 19, 2015

Image Credit :venturesity.com Apache Hadoop is already a strong pillar of the popular IT big data systems like- Facebook, Apple, Google, Yahoo, Amazon and eBay. Hadoop is regarded as the “Operating System” for distributed HDFS - data file system.

Hadoop 40

Hadoop Big Data NoSQL Database-centric 40

Knowledge Hut

JULY 26, 2023

These backend tools cover a wide range of features, such as deployment utilities, frameworks, libraries, and databases. Better Data Management: Database management solutions offered by backend tools enable developers to quickly store, retrieve, and alter data.

Database-centric 52

Database-centric Programming Language Pipeline-centric Utilities 52

Monte Carlo

JULY 28, 2022

But perhaps one of the most common reasons for data quality challenges are software feature updates and other changes made upstream by software engineers. Tight coupling Upstream data quality challenges are oftentimes a result of tight coupling between systems. Image courtesy of Andrew Jones.

Pipeline-centric 52

Pipeline-centric Software Engineer Software Engineering Database-centric 52

Monte Carlo

JANUARY 9, 2024

One dark and stormy night, an innocent data team completed a crucial user-facing system conversion. The change in high-level metrics set off alarm bells, summoning their colleagues on product and engineering teams to run to the rescue and determine what was going wrong with the customer experience.

Pipeline-centric 52

Pipeline-centric Database-centric Data Manufacturing 52

Knowledge Hut

JULY 7, 2023

Project-Based Full-Stack Developer Bootcamp KnowledgeHut's Full-Stack Development Course would help you gain a comprehensive understanding of building, deploying, securing, and expanding software applications. This immersive learning program equips you with the essential knowledge and skills to excel in the dynamic world of web development.

Certification 52

Certification MongoDB Database-centric Programming 52

DareData

JULY 29, 2020

We have heard news of machine learning systems outperforming seasoned physicians on diagnosis accuracy, chatbots that present recommendations depending on your symptoms , or algorithms that can identify body parts from transversal image slices , just to name a few. What makes a good Data Pipeline?

Healthcare 52

Healthcare Data Pipeline Medical Pipeline-centric 52

Knowledge Hut

JULY 11, 2023

Project-Based Full-Stack Developer Bootcamp KnowledgeHut's Full-Stack Development Course would help you gain a comprehensive understanding of building, deploying, securing, and expanding software applications. This immersive learning program equips you with the essential knowledge and skills to excel in the dynamic world of web development.

Certification 40

Certification MongoDB Database-centric Programming 40

AltexSoft

JULY 18, 2023

Whether you’re a data scientist, software engineer, or big data enthusiast, get ready to explore the universe of Apache Spark and learn ways to utilize its strengths to the fullest. Maintained by the Apache Software Foundation, Apache Spark is an open-source, unified engine designed for large-scale data analytics.

Big Data 52

Big Data Data Process Process Hadoop 52

Confluent

SEPTEMBER 25, 2019

Here, the bank loan business division has essentially become software. Of course, this is not to imply that companies will become only software (there are still plenty of people in even the most software-centric companies), just that the full scope of the business is captured in an integrated software defined process.

Database-centric 56

Database-centric Kafka Pipeline-centric Retail 56

ProjectPro

AUGUST 18, 2021

Unsurprisingly, the world has become data-centric, and companies digitally store more than 90% of the global data. Tableau supports data extraction from simple data storage systems such as MS Excel or MS Access and intricate database systems like Oracle. Developers can run Tableau on Windows and Mac operating systems.

BI 40

BI Database-centric SQL Software Engineer 40

Robinhood

MARCH 4, 2024

Together, we are building products and services that help create a financial system everyone can participate in. Authored by: Katie Liu, Senior Data Scientist, and Claire Liu, Staff Software Engineer In today’s digital finance landscape, the challenge of preventing fraud is a critical and complex task.

Database-centric 75

Database-centric Finance Algorithm Banking 75

phData: Data Engineering

JULY 18, 2023

This has led to the development of many different tools and platforms that provide scalable and economical solutions to work with these systems. However, before exploring the benefits and potential of the Modern Data Stack, it’s crucial to identify and understand the major challenges associated with legacy data systems.

Data Warehouse 52

Data Warehouse Pipeline-centric Government Data 52