Knowledge Hut

MAY 31, 2023

Business Intelligence (BI) comprises a career field that supports organizations to make driven decisions by offering valuable insights. Business Intelligence is closely knitted to the field of data science since it leverages information acquired through large data sets to deliver insightful reports.

Business Intelligence 52

Business Intelligence BI Business Analyst Consulting 52

ProjectPro

FEBRUARY 16, 2023

Business Intelligence and Artificial Intelligence are popular technologies that help organizations turn raw data into actionable insights. While both BI and AI provide data-driven insights, they differ in how they help businesses gain a competitive edge in the data-driven marketplace. What is Business Intelligence?

Business Intelligence 52

Business Intelligence BI Data Mining Raw Data 52

Data Engineering Weekly

MAY 26, 2024

[link] Meta: Composable data management at Meta Meta writes about its transition to a composable data management system to improve interoperability, reusability, and engineering efficiency. A closer look at the OBTs Star Schema vs OBT (One Big Table) data modeling is another ongoing debate in data engineering practitioners.

Data Engineering 76

Data Engineering Data Engineer Engineering Google Cloud 76

Data Engineering Podcast

NOVEMBER 4, 2018

Summary Business intelligence is a necessity for any organization that wants to be able to make informed decisions based on the data that they collect. Unfortunately, it is common for different portions of the business to build their reports with different assumptions, leading to conflicting views and poor choices.

Business Intelligence 100

Business Intelligence Hadoop BI Data Warehouse 100

Data Engineering Weekly

APRIL 14, 2024

[link] Github: 4 ways GitHub engineers use GitHub Copilot The impact of LLM on software development is undeniable. Github shares some insights on how Github engineers use Github Copilot. Every survey demonstrates an increase in productivity in software development with copilot-type tools.

Data Engineering 62

Data Engineering Data Engineer Engineering Business Intelligence 62

Data Engineering Podcast

APRIL 29, 2018

Summary Business Intelligence software is often cumbersome and requires specialized knowledge of the tools and data to be able to ask and answer questions about the state of the organization. Go to dataengineeringpodcast.com to subscribe to the show, sign up for the newsletter, read the show notes, and get in touch.

Business Intelligence 100

Business Intelligence Scala Hadoop Machine Learning 100

ProjectPro

DECEMBER 10, 2021

And we do want our curious readers to feel warm in their blankets and conserve their energy when searching for projects on business intelligence. Read this blog if you are interested in exploring business intelligence projects examples that highlight different strategies for increasing business growth.

Business Intelligence 52

Business Intelligence Coding Project BI 52

Simon Späti

MARCH 9, 2021

The goal is to touch on the common data engineering challenges and using promising new technologies, tools or frameworks, which most of them I wrote about in Business Intelligence meets Data Engineering with Emerging Technologies.

Data Engineering 189

Data Engineering Data Engineer Engineering Project 189

Data Engineering Podcast

APRIL 22, 2018

In this episode Amnon Drori, CEO and co-founder of Octopai, discusses the business problems he witnessed that led him to starting the company, how their systems are able to provide valuable tools and insights, and the direction that their product will be taking in the future.

Business Intelligence 113

Business Intelligence Metadata Management Data Governance 113

Scott Logic

MARCH 25, 2024

We, Mike Morgan and Steve Conway, are a pair of Senior Developers at Scott Logic who have recently been evaluating Business Intelligence tools. Tableau is a platform of services and prides itself on being a market leader in business intelligence ( article ).

BI 52

BI Business Intelligence Cloud AWS 52

Knowledge Hut

JANUARY 18, 2024

Speaking of job vacancies, the two careers have high demands till date and in upcoming years are Data Scientist and a Software Engineer. Per the BLS, the expected growth rate of job vacancies for data scientists and software engineers is around 22% by 2030. Both data science and software engineering rely largely on programming skills.

Software Engineer 97

Software Engineer Software Engineering Data Science Engineering 97

Simon Späti

MARCH 9, 2021

The goal is to touch on the common data engineering challenges and using promising new technologies, tools or frameworks, which most of them I wrote about in Business Intelligence meets Data Engineering with Emerging Technologies.

Data Engineering 130

Data Engineering Data Engineer Engineering Project 130

Data Engineering Podcast

OCTOBER 22, 2021

Summary The market for business intelligence has been going through an evolutionary shift in recent years. One of the driving forces for that change has been the rise of analytics engineering powered by dbt. What have been the most challenging engineering problems that you have dealt with?

Engineering 100

Engineering Business Intelligence BI Data Warehouse 100

Data Engineering Weekly

JANUARY 28, 2024

I had a chance to meet some of the amazing humans of data engineering. link] Leboncoin Tech: From a hack to a data mesh approach: The 18-year evolution of data engineering at Leboncoin Leboncoin discusses the evolution in data engineering, from a simple shell script to adopting data mesh principles, due to the company's significant growth.

Data Engineering 57

Data Engineering Data Engineer Engineering AWS 57

Data Science Blog: Data Engineering

DECEMBER 23, 2022

Warum Data Engineering der Data Science in Bedeutung und Berufschancen längst die Show stiehlt, dabei selbst ebenso einem stetigen Wandel unterliegt. Was ein Data Engineer wirklich können muss Der Data Scientist als sexiest Job des 21. Data Engineer, der gefragteste Job des 21sten Jahrhunderts? Jahrhunderts?

Data Engineering 52

Data Engineering Data Engineer Engineering Business Intelligence 52

RandomTrees

FEBRUARY 2, 2024

GPT-based data engineering accelerators make the working of data more accessible. They use intelligent language interfaces and make data accessible to more people. DataGPT OpenAI developed DataGpt for performing data engineering tasks. These accelerators combine information from different sources.

Data Engineering 52

Data Engineering Data Engineer Engineering Data Pipeline 52

Monte Carlo

JUNE 6, 2023

Generative AI is taking the world by storm – here’s what it means for data engineering and why data observability is critical for this groundbreaking technology to succeed. People that are not proficient in SQL and business intelligence will no longer need to ask an analyst or analytics engineer to create a dashboard for them.

Data Engineering 84

Data Engineering Data Engineer Engineering Business Intelligence 84

Data Engineering Podcast

MAY 22, 2022

Announcements Hello and welcome to the Data Engineering Podcast, the show about modern data management When you’re ready to build your next pipeline, or want to test out the projects you hear about on the show, you’ll need somewhere to deploy it, so check out our friends at Linode.

Machine Learning 130

Machine Learning Data Engineering Data Engineer Cloud 130

KDnuggets

APRIL 19, 2024

The collection includes free courses on Python, SQL, Data Analytics, Business Intelligence, Data Engineering, Machine Learning, Deep Learning, Generative AI, and MLOps.

Data Science 129

Data Science Business Intelligence Deep Learning Machine Learning 129

Knowledge Hut

JUNE 20, 2023

A novice data scientist prepared to start a rewarding journey may need clarification on the differences between a data scientist and a machine learning engineer. Let's find out the differences between a data scientist and a machine learning engineer below to make an informative decision.

Machine Learning 52

Machine Learning Data Engineering Data Engineer Engineering 52

Knowledge Hut

JUNE 16, 2023

On the bright side, it provides assured AI engineer careers for those with the necessary skills. So, what are the initial steps for becoming an Artificial Intelligence Engineer? And what AI engineer career options are available in the vast field of Artificial Intelligence? AI Engineer Career Opportunities?

Engineering 52

Engineering Deep Learning Programming Language Software Engineer 52

Knowledge Hut

FEBRUARY 27, 2023

A data engineer is a key member of an enterprise data analytics team and is responsible for handling, leading, optimizing, evaluating, and monitoring the acquisition, storage, and distribution of data across the enterprise. Data Engineers indulge in the whole data process, from data management to analysis. What is Data Engineering?

Data Engineering 52

Data Engineering Data Engineer Database-centric Pipeline-centric 52

Data Engineering Podcast

AUGUST 28, 2022

Summary The dream of every engineer is to automate all of their tasks. For data engineers, this is a monumental undertaking. Orchestration engines are one step in that direction, but they are not a complete solution. Support Data Engineering Podcast Summary The dream of every engineer is to automate all of their tasks.

Data Engineering 100

Data Engineering Data Engineer MongoDB Metadata 100

Knowledge Hut

JUNE 23, 2023

Data engineers make a tangible difference with their presence in top-notch industries, especially in assisting data scientists in machine learning and deep learning. Let us understand here the complete big data engineer roadmap to lead a successful Data Engineering Learning Path.

Data Engineering 52

Data Engineering Data Engineer Engineering Non-relational Database 52

Maxime Beauchemin

JANUARY 20, 2017

I joined Facebook in 2011 as a business intelligence engineer. By the time I left in 2013, I was a data engineer. Instead, Facebook came to realize that the work we were doing transcended classic business intelligence. We were data engineers! Data Engineering? We were pioneers.

Data Engineering 130

Data Engineering Data Engineer Engineering ETL Tools 130

Knowledge Hut

JUNE 26, 2023

Welcome to the world of data engineering, where the power of big data unfolds. If you're aspiring to be a data engineer and seeking to showcase your skills or gain hands-on experience, you've landed in the right spot. Companies are constantly seeking experienced data engineers who can create innovative data engineering initiatives.

Data Engineering 98

Data Engineering Data Engineer Coding Project 98

Preset

APRIL 24, 2023

Join the open-source prompt engineering project, Promptimize ([link] Learn about its applications in business intelligence (BI).

Engineering 61

Engineering BI Business Intelligence Project 61

Knowledge Hut

DECEMBER 21, 2023

This article answers all your questions on how to become a machine learning engineer. Who is a Machine Learning Engineer, and What Do They Do? A machine learning engineer is a professional who develops and refines the algorithms which are further used by machine learning tools. How to Become a Machine Learning Engineer? [In

Machine Learning 52

Machine Learning Engineering Computer Science Portfolio 52

Knowledge Hut

DECEMBER 28, 2023

It’s no surprise that the demand for certified Azure data engineers has skyrocketed. Today, Azure Data Engineer certification is an invaluable asset for those looking to excel in the field of data engineering. In this comprehensive guide, we will demystify the process of achieving the Azure Data Engineer certification.

Certification 52

Certification Data Engineering Data Engineer Engineering 52

Knowledge Hut

SEPTEMBER 21, 2023

Well let me tell you, with the help of an Azure Cloud Engine­er, you can achieve just that. This increase in demand has led to a surge in the need for cloud engineers, including Azure Cloud Engineers. Are you curious about the Microsoft Azure cloud engineer salary in India? Who is an Azure Cloud Engineer? 

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Cloud Engineering Cloud Computing Certification 52

FreshBI

JANUARY 31, 2022

The objective of this blog Building reliable intelligence at the speed of business can be a challenging task. A well-designed data engineering strategy ensures that your analytics resources are spent on uncovering insights rather than laying foundations. They often have very different physical and conceptual properties.

BI 52

BI Data Engineering Data Engineer Engineering 52

Knowledge Hut

DECEMBER 29, 2023

There are many data science fields in which experts may contribute to the success of a business, and you can hone the abilities you need by specializing in data science subfields. Data Engineering and Warehousing The data is the lifeblood of every successful Data Science endeavor. Also, they need to be familiar with ETL.

Data Science 98

Data Science Data Mining Deep Learning Programming Language 98

Silectis

FEBRUARY 17, 2021

In this blog post, we’ll walk you through how data science and data engineering are complementary disciplines. We’ll explore how both data engineering and data science should be marshaled to make better decisions. Articles with titles like “Data Science vs Data Engineering” often frame the relationship as two opposing disciplines.

Data Science 52

Data Science Data Engineering Data Engineer Engineering 52

Data Engineering Podcast

MAY 19, 2019

The data build tool (dbt) is designed to bring battle tested engineering practices to your analytics pipelines. Not only does it free up your engineers’ time, it lets your business users decide what data they want where. As a result, the tooling for those transformations needs to be reimagined.

Data Analytics 100

Data Analytics Building Engineering Data Warehouse 100

Analytics Vidhya

FEBRUARY 27, 2023

Introduction Enterprises here and now catalyze vast quantities of data, which can be a high-end source of business intelligence and insight when used appropriately. Delta Lake allows businesses to access and break new data down in real time.

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Data Lake Business Intelligence Designing Accessible 215

Knowledge Hut

DECEMBER 26, 2023

Data Science is a huge umbrella with a plethora of roles available in the field such as a Data Scientist, Data Engineer, BI Developer, Data and Analytics Manager, etc. Almost all of these roles require to work on deciphering the business-related questions that need answering and in turn searching for the data related to finding these answers.

Data Science 97

Data Science BI Business Intelligence Data Mining 97

Hepta Analytics

FEBRUARY 14, 2022

We looked at the following: How do we ingest – ETL vs ELT Where do we store the data – Data lake vs data warehouse Which tool to we use to ingest – cronjob vs workflow engine NOTE : This weeks task requires good internet speed and good compute. It is also preferred when the use case has more diverse business intelligence.

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Data Ingestion Data Engineering Data Engineer Engineering 52