Pickl AI

OCTOBER 17, 2024

Popular tools like Power BI, Tableau, and Google Data Studio offer unique features for Data Analysis. These tools allow organisations to uncover key metrics, helping drive strategic actions based on past events. Microsoft Power BI Microsoft Power BI is one of the most popular and widely used Descriptive Analytics tools.

Analytics 52

Analytics Analytics Power BI Tableau 52

IBM Journey to AI blog

SEPTEMBER 19, 2023

Additionally, data science requires experience in SQL database coding and an ability to work with unstructured data of various types, such as video, audio, pictures and text. Diagnostic analytics: Diagnostic analytics helps pinpoint the reason an event occurred.

Data Science 94

Data Science Analytics Analytics Data Scientist 94

phData

OCTOBER 24, 2024

In this blog, I’ll share my experience attending, highlight some exciting awards, and unpack all the exciting updates from the event. BI Tool Integration: A new dbt Semantic Layer connection to Power BI is coming soon! The venue was great—a Vegas hotel with an entire floor dedicated exclusively to the conference.

SQL 52

SQL Tableau Power BI Database 52

ODSC - Open Data Science

APRIL 11, 2023

Though SQL is decades old and is still the “go-to” when it comes to the management of unstructured data, it doesn’t mean that you should neglect your other skills. From practical training, hands-on workshops, networking events, and more. So, let’s get started! Not Keep That Toolkit Up-To-Date! Well then, you’re in luck.

Data Science 90

Data Science Data Scientist AI AI 90

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. Some of the tools you can expect to see used will be Power BI and Tableau Data Architect Before you ask, yes a data architect and a data engineer are quite different.

Data Analyst 52

Data Analyst Machine Learning Machine Learning Power BI 52

Dataconomy

MARCH 24, 2023

Database management:  A BI professional should be able to design and manage databases, including data modeling, ETL processes, and data integration. Programming:  A BI professional should have knowledge of programming languages such as SQL, Python, or R, and be able to use them to extract data and perform advanced analytics.

Business Intelligence 70

Business Intelligence Business Intelligence Data Analysis Data Analysis 70

Dataconomy

MARCH 24, 2023

Database management:  A BI professional should be able to design and manage databases, including data modeling, ETL processes, and data integration. Programming:  A BI professional should have knowledge of programming languages such as SQL, Python, or R, and be able to use them to extract data and perform advanced analytics.

Business Intelligence 70

Business Intelligence Business Intelligence Data Analysis Data Analysis 70

AWS Machine Learning Blog

MARCH 8, 2023

Amazon Athena to provide developers and business analysts SQL access to the generated data for analysis and troubleshooting. Amazon EventBridge to trigger the data ingestion and ML pipeline on a schedule and in response to events. Power price, weather, and load forecast data is received in JSON and character delimited files.

AWS 98

AWS Machine Learning Machine Learning Analytics 98

Pickl AI

FEBRUARY 27, 2024

Participants learn to leverage tools like Excel, Python, and SQL for data manipulation and analysis, enabling better financial modeling and forecasting decision-making. This includes proficiency in programming languages such as Python, R, or SQL and familiarity with statistical analysis tools and data visualization techniques.

Data Visualization 52

Data Visualization Data Analyst SQL Data Analysis 52

Pickl AI

APRIL 3, 2025

Tools Commonly Used Business Intelligence Platforms: Tableau, Microsoft Power BI, Qlik Sense, Google Data Studio (Looker Studio) Programming Libraries: Matplotlib, Seaborn (Python); ggplot2 (R); D3.js Analyse -> Visualise -> Question -> Analyse Again -> Refine Visualisation.

Data Analysis 52

Data Analysis Data Analysis Data Visualization EDA 52

Pickl AI

FEBRUARY 19, 2025

Descriptive Analytics This explains past events ; businesses use it to track sales, website traffic, or customer feedback. They primarily use SQL (a language used to manage databases) to extract data and data visualisation tools to present insights in charts and graphs. SQL : A database language to fetch and analyse data.

Data Science 52

Data Science Analytics Analytics Machine Learning 52

Pickl AI

SEPTEMBER 5, 2024

You should be skilled in programming languages such as Python, R, or SQL , which are commonly used for data manipulation and analysis. Azure Synapse Analytics Previously known as Azure SQL Data Warehouse , Azure Synapse Analytics offers a limitless analytics service that combines big data and data warehousing.

Azure 52

Azure Data Scientist Data Science Machine Learning 52

Pickl AI

AUGUST 11, 2024

These tables are called “factless fact tables” or “junction tables” They are used for modelling many-to-many relationships or for capturing timestamps of events. A star schema forms when a fact table combines with its dimension tables. This schema serves as the foundation of dimensional modeling.

Data Quality 52

Data Quality Data Warehouse Data Governance Analytics 52

ODSC - Open Data Science

JANUARY 7, 2025

While knowing Python, R, and SQL is expected, youll need to go beyond that. Similar to previous years, SQL is still the second most popular skill, as its used for many backend processes and core skills in computer science and programming. Employers arent just looking for people who can program.

Data Scientist 40

Data Scientist Data Science Machine Learning Machine Learning 40

Pickl AI

AUGUST 9, 2024

Understanding the differences between SQL and NoSQL databases is crucial for students. Students should understand the concepts of event-driven architecture and stream processing. Visualisation Tools Familiarity with tools such as Tableau, Power BI, and D3.js Once data is collected, it needs to be stored efficiently.

Big Data 52

Big Data Big Data Big Data Analytics Big Data Analytics 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

Pickl AI

JULY 18, 2024

Relational databases use SQL for querying, which can be complex and rigid. Explain The Difference Between MongoDB and SQL Databases. MongoDB is a NoSQL database that stores data in documents, while SQL databases store data in tables with rows and columns. Documents are stored in collections, analogous to SQL database tables.

Database 52

Database SQL Data Analyst Database Administration 52

Pickl AI

MARCH 19, 2025

Tools like Python, SQL, Apache Spark, and Snowflake help engineers automate workflows and improve efficiency. Python, SQL, and Apache Spark are essential for data engineering workflows. SQL Structured Query Language ( SQL ) is a fundamental skill for data engineers.

Data Engineer 52

Data Engineer Data Engineering Data Engineering Data Engineering 52