Pickl AI

MARCH 19, 2025

Summary: Data engineering tools streamline data collection, storage, and processing. Tools like Python, SQL, Apache Spark, and Snowflake help engineers automate workflows and improve efficiency. Learning these tools is crucial for building scalable data pipelines. Thats where data engineering tools come in!

Data Engineering 52

Data Engineering Data Engineering Data Engineer Data Engineering 52

Flipboard

JUNE 13, 2025

Blog Top Posts About Topics AI Career Advice Computer Vision Data Engineering Data Science Language Models Machine Learning MLOps NLP Programming Python SQL Datasets Events Resources Cheat Sheets Recommendations Tech Briefs Advertise Join Newsletter AI Agents in Analytics Workflows: Too Early or Already Behind?

Analytics 156

Analytics Analytics Data Science Natural Language Processing 156

Flipboard

JUNE 9, 2025

Blog Top Posts About Topics AI Career Advice Computer Vision Data Engineering Data Science Language Models Machine Learning MLOps NLP Programming Python SQL Datasets Events Resources Cheat Sheets Recommendations Tech Briefs Advertise Join Newsletter 7 Cool Python Projects to Automate the Boring Stuff Get more done in less time with these 7 beginner-friendly (..)

Python 158

Python Natural Language Processing Data Science Machine Learning 158

Data Science Blog

JULY 23, 2023

Data Mesh on Azure Cloud with Databricks and Delta Lake for Applications of Business Intelligence, Data Science and Process Mining. Each applications has its own data model. Using data sharing (in Databricks: Delta Sharing) data products or single datasets can be shared through applications and owners.

Data Science 246

Data Science Azure Power BI Business Intelligence 246

ODSC - Open Data Science

FEBRUARY 6, 2024

Data engineering has become an integral part of the modern tech landscape, driving advancements and efficiencies across industries. At the heart of this revolution are open-source tools, offering powerful capabilities, flexibility, and a thriving community support system.

Data Engineering 52

Data Engineering Data Engineering Data Engineer Data Engineering 52

Data Science Dojo

JULY 3, 2024

R : Often used for statistical analysis and data visualization. Data Visualization : Techniques and tools to create visual representations of data to communicate insights effectively. Tools like Tableau, Power BI, and Python libraries such as Matplotlib and Seaborn are commonly taught.

Data Science 150

Data Science Machine Learning Machine Learning Data Visualization 150

ODSC - Open Data Science

APRIL 26, 2023

Because they are the most likely to communicate data insights, they’ll also need to know SQL, and visualization tools such as Power BI and Tableau as well. Machine Learning Engineer Machine learning engineers will use data much differently than business analysts or data analysts.

Data Analyst 52

Data Analyst Machine Learning Machine Learning Power BI 52

IBM Journey to AI blog

SEPTEMBER 19, 2023

To pursue a data science career, you need a deep understanding and expansive knowledge of machine learning and AI. Data scientists will typically perform data analytics when collecting, cleaning and evaluating data. Diagnostic analytics: Diagnostic analytics helps pinpoint the reason an event occurred.

Data Science 94

Data Science Analytics Analytics Data Scientist 94

phData

FEBRUARY 9, 2023

KPIs for predictive maintenance include: Equipment downtime Mean time between failures (MTBF) Mean time to repair (MTTR) All of these KPIs can be measured by tracking the amount of time that equipment is not in use due to maintenance or repair, as well as the frequency and duration of maintenance and repair events.

Analytics 52

Analytics Analytics Power BI Data Warehouse 52

ODSC - Open Data Science

JANUARY 7, 2025

Scala is worth knowing if youre looking to branch into data engineering and working with big data more as its helpful for scaling applications. Knowing all three frameworks covers the most ground for aspiring data science professionals, so you cover plenty of ground knowing thisgroup.

Data Scientist 40

Data Scientist Data Science Machine Learning Machine Learning 40

Pickl AI

SEPTEMBER 5, 2024

Data Preparation: Cleaning, transforming, and preparing data for analysis and modelling. Collaborating with Teams: Working with data engineers, analysts, and stakeholders to ensure data solutions meet business needs.

Azure 52

Azure Data Scientist Data Science Machine Learning 52

Data Science Blog

SEPTEMBER 3, 2024

Process Mining wurde kürzlich in die Power Automate Plattform und in Power BI integriert. Process Mining Tools, die Business Intelligence Software erweitern Und dann gibt es noch diejenigen Anbieter, die bestehende BI Tools mit Erweiterungen zum Process Mining Analysewerkzeug machen. nicht mehr weiterentwickelt wird.

Data Science 130

Data Science Power BI Azure Data Warehouse 130

Data Science Blog

MARCH 30, 2023

Unabhängiges und Nachhaltiges Data Engineering Die Arbeit hinter Process Mining kann man sich wie einen Eisberg vorstellen. Der andere Teil des Process Minings ist jedoch noch viel wesentlicher, denn es handelt sich dabei um das Fundament der Analyse: Die Datenmodellierung des Event Logs. Celonis Process Mining) übertragen.

Data Warehouse 147

Data Warehouse Business Intelligence Business Intelligence Power BI 147

Pickl AI

JUNE 4, 2024

Predictive Analytics for Disease Prevention Predictive analytics is a powerful tool in the arsenal of healthcare Data Scientists. By analyzing historical data and identifying patterns, Predictive analytics can forecast future health events, enabling early intervention and prevention.

Data Science 52

Data Science Big Data Analytics Big Data Analytics Predictive Analytics 52

Pickl AI

JULY 18, 2024

2024’s top Power BI interview questions simplified. Change streams allow applications to access real-time data changes in MongoDB collections. How Does MongoDB Handle Large-Scale Data Migrations? More to discover: Top 35 Data Analyst Interview Questions and Answers 2023.

Database 52

Database SQL Data Analyst Database Administration 52

Flipboard

JUNE 16, 2025

Data Analysis and Transition to Machine Learning: Skills: Python, SQL, Excel, Tableau and Power BI are relevant skills for entry-level data analysis roles. Next Steps: Transition into data engineering (PySpark, ETL) or machine learning (TensorFlow, PyTorch). However, the competition is high.

Python 50

Python AWS Machine Learning Machine Learning 50