How to Learn Machine Learning

APRIL 26, 2025

The processes of SQL, Python scripts, and web scraping libraries such as BeautifulSoup or Scrapy are used for carrying out the data collection. Visualization libraries available in Python such as Matplotlib and Seaborn, and tools like Tableau and Power BI become crucial to telling stories that lead to insights.

Data Science 52

Data Science Data Analyst Data Scientist Machine Learning 52

Data Science Blog

NOVEMBER 15, 2023

Example Event Log for Process Mining The following example SQL-query is inserting Event-Activities from a SAP ERP System into an existing event log database table. So whenever you hear that Process Mining can prepare RPA definitions you can expect that Task Mining is the real deal.

Data Models 245

Data Models Data Modeling Business Intelligence Business Intelligence 245

phData

JANUARY 18, 2023

The challenges of managing and monitoring the usage of Alteryx Server, especially for companies that rely on this powerful data analytics platform to support their business operations, can definitely be improved.

Power BI 52

Power BI Tableau SQL Analytics 52

Pickl AI

AUGUST 9, 2024

Document Hierarchy Structures Maintain thorough documentation of hierarchy designs, including definitions, relationships, and data sources. Data Modelling Tools Tools such as ER/Studio, Oracle SQL Developer Data Modeler, and IBM InfoSphere Data Architect allow users to design and visualise hierarchies within dimensional models.

Data Warehouse 52

Data Warehouse Data Quality ETL Business Intelligence 52

Pickl AI

JULY 12, 2023

It involves changing the database’s structure, such as adding or deleting tables, modifying column definitions, or altering relationships between tables. SQL (Structured Query Language) SQL is a standard language for managing relational databases. Let’s explore some popular tools widely used in the industry: 1.

Data Analysis 52

Data Analysis Data Analysis Database Clean Data 52

Pickl AI

AUGUST 11, 2024

Document and Communicate Maintain thorough documentation of fact table designs, including definitions, calculations, and relationships. Establish data governance policies and processes to ensure consistency in definitions, calculations, and data sources. Consider factors such as data volume, query patterns, and hardware constraints.

Data Quality 52

Data Quality Data Warehouse Data Governance Analytics 52

Alation

JANUARY 17, 2023

A legacy data stack usually refers to the traditional relational database management system (RDBMS), which uses a structured query language (SQL) to store and process data. SQL, however, remains a popular query language for both legacy and modern data stacks. If your organization is large, you definitely need to look for robustness.

Data Warehouse 52

Data Warehouse ETL Tableau Cloud Data 52