How to Learn Machine Learning

APRIL 26, 2025

Data Visualization and Interpretation To make the data understandable to stakeholders, visualizations are created in the form of charts, graphs, and dashboards. 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

phData

FEBRUARY 14, 2023

Data integration is essentially the Extract and Load portion of the Extract, Load, and Transform (ELT) process. Data ingestion involves connecting your data sources, including databases, flat files, streaming data, etc, to your data warehouse. Snowflake provides native ways for data ingestion.

Data Warehouse 59

Data Warehouse Azure AWS Database 59

Women in Big Data

DECEMBER 9, 2024

Through a comparative analysis of some of the leading BI tools: Google Looker, Microsoft Power BI, Tableau and Qlik Sense, discover which BI solution best fits your organization’s data analytics needs to empower informed decision-making. Selecting the right one can seem daunting. You can also share insights across organizations.

Big Data 52

Big Data Big Data Power BI Tableau 52

phData

SEPTEMBER 15, 2023

For businesses utilizing Salesforce as their Customer Relationship Management (CRM) platform, the Snowflake Data Cloud and Tableau offer an excellent solution for scalable and accurate analytics. In order to unlock the potential of these tools, your CRM data must remain synced between Salesforce and Snowflake.

Data Warehouse 52

Data Warehouse Tableau Data Silos Analytics 52

Mlearning.ai

FEBRUARY 16, 2023

The ultimate need for vast storage spaces manifests in data warehouses: specialized systems that aggregate data coming from numerous sources for centralized management and consistency. In this article, you’ll discover what a Snowflake data warehouse is, its pros and cons, and how to employ it efficiently.

Data Warehouse 52

Data Warehouse Business Intelligence Business Intelligence Database 52

ODSC - Open Data Science

FEBRUARY 6, 2024

This open-source streaming platform enables the handling of high-throughput data feeds, ensuring that data pipelines are efficient, reliable, and capable of handling massive volumes of data in real-time. Each platform offers unique features and benefits, making it vital for data engineers to understand their differences.

Data Engineering 52

Data Engineering Data Engineer Data Engineering Data Engineering 52

phData

AUGUST 9, 2024

Typically, this data is scattered across Excel files on business users’ desktops. It is extremely labor intensive, and the team wants to automate it using Snowflake and Tableau. Financial data is pulled from the ERP. The current process involves analysts opening Excel files and copying and pasting values.

ETL 52

ETL Data Warehouse Data Governance Tableau 52

phData

JUNE 11, 2025

Whether you’re running small-scale analytics or managing enterprise-level data warehouses, these tips will help drive performance and meaningful business outcomes for your organization. Storage Costs Our first tip involves taking a closer look at managing how your data is stored, organized, and accessed.

Clustering 59

Clustering SQL Database Data Lakes 59

Pickl AI

JULY 25, 2023

Data Visualization: Matplotlib, Seaborn, Tableau, etc. Big Data Technologies: Hadoop, Spark, etc. Domain Knowledge: Understanding the specific domain where they apply data analysis. They work with databases and data warehouses to ensure data integrity and security. ETL Tools: Apache NiFi, Talend, etc.

Data Engineering 52

Data Engineering Data Engineering Data Engineer Data Engineering 52

Pickl AI

APRIL 26, 2024

Data Warehousing and ETL Processes What is a data warehouse, and why is it important? A data warehouse is a centralised repository that consolidates data from various sources for reporting and analysis. It is essential to provide a unified data view and enable business intelligence and analytics.

Data Analyst 52

Data Analyst Data Analysis Data Analysis Machine Learning 52

phData

NOVEMBER 13, 2023

Tableau (beta) Google Sheets (beta) Hex Klipfolio PowerMetrics Lightdash Mode Push.ai Delphi Prerequisites and Compatibility: It requires a dbt Cloud Team or Enterprise account and supports popular data warehouses like Snowflake, BigQuery, Databricks, and Redshift.

Database 52

Database Business Intelligence Business Intelligence Data Silos 52

Data Science Blog

FEBRUARY 7, 2023

Vor einen Jahrzehnt war es immer noch recht üblich, sich einfach ein BI Tool zu nehmen, sowas wie QlikView, Tableau oder PowerBI, mittlerweile gibt es ja noch einige mehr, und da direkt die Daten reinzuladen und dann halt loszulegen mit dem Aufbau der Reports. Ein Data Warehouse ist eine oder eine Menge von Datenbanken.

Business Intelligence 286

Business Intelligence Business Intelligence Data Warehouse Data Lakes 286

Data Science Blog

JULY 20, 2024

Es bietet vollständige Automatisierung des BI-Stacks und unterstützt ein breites Spektrum an Data Warehouses, analytischen Datenbanken und Frontends. Automatisierung: Erstellt SQL-Code, DACPAC-Dateien, SSIS-Pakete, Data Factory-ARM-Vorlagen und XMLA-Dateien. Data Lakes: Unterstützt MS Azure Blob Storage.

Azure 130

Azure Power BI SQL Data Lakes 130