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

Simon Späti

MARCH 9, 2021

This post focuses on practical data pipelines with examples from web-scraping real-estates, uploading them to S3 with MinIO, Spark and Delta Lake, adding some Data Science magic with Jupyter Notebooks, ingesting into Data Warehouse Apache Druid, visualising dashboards with Superset and managing everything with Dagster.

Data Engineering 130

Data Engineering Data Engineer Engineering Project 130

Data Engineering Weekly

JANUARY 28, 2024

RudderStack is the Warehouse Native CDP, built to help data teams deliver value across the entire data activation lifecycle, from collection to unification and activation. I had a chance to meet some of the amazing humans of data engineering. Visit rudderstack.com to learn more.

Data Engineering 57

Data Engineering Data Engineer Engineering AWS 57

ProjectPro

JANUARY 31, 2023

Want to know who is a business intelligence engineer, what does a business intelligence engineer do, and how these BI engineers turn mountains of data into actionable insights? This growth indicates that the field of business intelligence has a lot of career prospects.

Business Intelligence 52

Business Intelligence Engineering BI Data Warehouse 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.

Business Intelligence 52

Business Intelligence BI Data Mining Raw Data 52

RandomTrees

FEBRUARY 2, 2024

GPT-based data engineering accelerators make the working of data more accessible. These accelerators use GPT models to do data tasks faster, fix any issues, and save a lot of time. GPT models change data in simple language and also provide summaries and explanations. One can rely on this information.

Data Engineering 52

Data Engineering Data Engineer Engineering Data Pipeline 52

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 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?

Data Engineering 52

Data Engineering Data Engineer Engineering Business Intelligence 52

Data Engineering Podcast

MAY 22, 2022

Summary Machine learning has become a meaningful target for data applications, bringing with it an increase in the complexity of orchestrating the entire data flow. With simple pricing, fast networking, object storage, and worldwide data centers, you’ve got everything you need to run a bulletproof data platform.

Machine Learning 130

Machine Learning Data Engineering Data Engineer Cloud 130

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. And how will it impact data? It’s inevitable that generative AI will disrupt data, too. Let’s assess. Let’s assess.

Data Engineering 84

Data Engineering Data Engineer Engineering Business Intelligence 84

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. The current goal for most companies is to be “data driven” How would you define that concept?

Business Intelligence 100

Business Intelligence Scala Hadoop Machine Learning 100

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 127

Data Science Business Intelligence Deep Learning Machine Learning 127

Data Engineering Podcast

APRIL 22, 2018

Summary The information about how data is acquired and processed is often as important as the data itself. For this reason metadata management systems are built to track the journey of your business data to aid in analysis, presentation, and compliance. What is OctopAI and what was your motivation for founding it?

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. There is a preferred workflow to guide a user through the steps of data preparation, analysis and visualisation but this workflow is not mandatory.

BI 52

BI Business Intelligence Cloud AWS 52

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. What are Data Engineering Projects?

Data Engineering 98

Data Engineering Data Engineer Coding Project 98

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. Atlan is the metadata hub for your data ecosystem.

Data Engineering 100

Data Engineering Data Engineer MongoDB Metadata 100

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?

Data Engineering 130

Data Engineering Data Engineer Engineering ETL Tools 130

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

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.

Data Engineering 52

Data Engineering Data Engineer Database-centric Pipeline-centric 52

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. Many people are learning data science for the first time and need help comprehending the two job positions.

Machine Learning 52

Machine Learning Data Engineering Data Engineer Engineering 52

Knowledge Hut

DECEMBER 28, 2023

Human society in 2023 is a digital world, and its fuel - its currency - is data. Today, organizations seek skilled professionals who can harness data’s power to drive informed decisions. As technology evolves, cloud platforms have emerged as the cornerstone of modern data management. Who is an Azure Data Engineer?

Certification 52

Certification Data Engineering Data Engineer Engineering 52

Silectis

FEBRUARY 17, 2021

In this blog post, we’ll walk you through how data science and data engineering are complementary disciplines. We’ll also delineate a third category: data analysis. We’ll explore how both data engineering and data science should be marshaled to make better decisions. What is Data Science, Really?

Data Science 52

Data Science Data Engineering Data Engineer Engineering 52

Knowledge Hut

JUNE 30, 2023

The demand for experienced data engineers continuously expands in today's data-driven environment. Books on data engineering serve as essential resources to guide you through the vast terrain of data engineering. What is Data Engineering? Who are Data Engineers?

Data Engineering 52

Data Engineering Data Engineer Engineering Data Warehouse 52

Data Engineering Podcast

AUGUST 13, 2023

Summary Data pipelines are the core of every data product, ML model, and business intelligence dashboard. The folks at Rivery distilled the seven principles of modern data pipelines that will help you stay out of trouble and be productive with your data.

Data Pipeline 130

Data Pipeline BI SQL Business Intelligence 130

dbt Developer Hub

APRIL 30, 2023

I, Sung, entered the data industry by chance in Fall 2014. My next gig was in consulting where I bootstrapped my way into data engineering and had to learn the whole gamut below. Armed with them, I finally saw the magic of the modern data stack and what problems it could solve. 5x data engineer.

Data Engineering 64

Data Engineering Data Engineer Engineering Finance 64

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.

BI 52

BI Data Engineering Data Engineer Engineering 52

Silectis

JANUARY 3, 2021

If you’re new to data engineering or are a practitioner of a related field, such as data science, or business intelligence, we thought it might be helpful to have a handy list of commonly used terms available for you to get up to speed. Big Data Large volumes of structured or unstructured data.

Data Engineering 40

Data Engineering Data Engineer Engineering Hadoop 40

KDnuggets

MAY 19, 2022

Read the best books on Programming, Statistics, Data Engineering, Web Scraping, Data Analytics, Business Intelligence, Data Applications, Data Management, Big Data, and Cloud Architecture.

Data Science 160

Data Science Business Intelligence Big Data Architecture 160

Knowledge Hut

DECEMBER 29, 2023

The market for analytics is flourishing, as is the usage of the phrase Data Science. Professionals from a variety of disciplines use data in their day-to-day operations and feel the need to understand cutting-edge technology to get maximum insights from the data, therefore contributing to the growth of the organization.

Data Science 98

Data Science Data Mining Deep Learning Programming Language 98

Data Engineering Podcast

NOVEMBER 13, 2022

Summary Building data products is an undertaking that has historically required substantial investments of time and talent. With the rise in cloud platforms and self-serve data technologies the barrier of entry is dropping. Atlan is the metadata hub for your data ecosystem.

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Building Metadata MongoDB MySQL 130

Knowledge Hut

APRIL 25, 2023

The tremendous growth in data generation, then the rise in data engineer jobs - there’s no arguing the fact that the big data industry is at its best pace and you, as an aspiring data engineer, have a lot to learn and make out of it - including some tools! What are Data Engineering Tools?

Data Engineering 52

Data Engineering Data Engineer Engineering Google Cloud 52

Knowledge Hut

DECEMBER 26, 2023

According to the World Economic Forum, the amount of data generated per day will reach 463 exabytes (1 exabyte = 10 9 gigabytes) globally by the year 2025. Thus, almost every organization has access to large volumes of rich data and needs “experts” who can generate insights from this rich data.

Data Science 97

Data Science BI Business Intelligence Data Mining 97

Monte Carlo

SEPTEMBER 1, 2022

Data engineering is a relatively young profession, even for the tech space. To put it in perspective, front-end engineering has twice the number of years in industry maturity. That’s because not only is data engineering talent in high demand, but the very nature of handling big data necessitates prioritization and focus.

Data Engineering 52

Data Engineering Data Engineer Engineering Datasets 52

Data Engineering Podcast

NOVEMBER 6, 2022

Summary A lot of the work that goes into data engineering is trying to make sense of the "data exhaust" from other applications and services. Atlan is the metadata hub for your data ecosystem. Data engineers don’t enjoy writing, maintaining, and modifying ETL pipelines all day, every day.

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Building IT Metadata MongoDB 130

Knowledge Hut

MAY 9, 2024

Data Science, with its interdisciplinary approach, combines statistics, computer science, and domain knowledge and has opened up a world of exciting and lucrative career opportunities for professionals with the right skills and expertise. The market is flooding with the highest paying data science jobs. What is Data Science?

Data Science 52

Data Science Data Mining Data Architect Programming Language 52

Hepta Analytics

FEBRUARY 14, 2022

DE Zoomcamp 2.2.1 – Introduction to Workflow Orchestration Following last weeks blog , we move to data ingestion. We already had a script that downloaded a csv file, processed the data and pushed the data to postgres database. This week, we got to think about our data ingestion design. It is called Idempotency.

Data Ingestion 52

Data Ingestion Data Engineering Data Engineer Engineering 52

Dataquest

APRIL 12, 2021

Data engineer, data analyst, and data scientist — these are job titles you’ll often hear mentioned together when people are talking about the fast-growing field of data science. There are plenty of other job titles in data science and data analytics too. What is a Data Analyst?

Data Engineering 52

Data Engineering Data Engineer Engineering Generalist 52