Data Science Blog

NOVEMBER 15, 2023

The lower part of the iceberg is barely visible to the normal analyst on the tool interface, but is essential for implementation and success: this is the Event Log as the data basis for graph and data analysis in Process Mining. The creation of this data model requires the data connection to the source system (e.g.

Data Modeling 245

Data Modeling Data Models Business Intelligence Business Intelligence 245

Smart Data Collective

APRIL 29, 2020

Usually the term refers to the practices, techniques and tools that allow access and delivery through different fields and data structures in an organisation. Data management approaches are varied and may be categorised in the following: Cloud data management. Master data management.

Data Warehouse 98

Data Warehouse SQL Azure ETL 98

Data Science Dojo

JULY 3, 2024

Here’s a list of key skills that are typically covered in a good data science bootcamp: Programming Languages : Python : Widely used for its simplicity and extensive libraries for data analysis and machine learning. R : Often used for statistical analysis and data visualization.

Data Science 150

Data Science Machine Learning Machine Learning Data Visualization 150

Mlearning.ai

APRIL 29, 2023

Transaction Data Analysis—Case Study #4 by Data with Danny As a huge FinTech enthusiast, I found myself totally drawn to this project. Data Bank runs just like any other digital bank — but it isn’t only for banking activities, they also have the world’s most secure distributed data storage platform!

SQL 52

SQL Power BI Cloud Data Data Analysis 52

phData

APRIL 28, 2025

A Matillion pipeline is a collection of jobs that extract, load, and transform (ETL/ELT) data from various sources into a target system, such as a cloud data warehouse like Snowflake. The workflow well reference throughout this blog was built using customer data from TrellisMart, a fictional retail company.

AI 52

AI AI SQL ETL 52

phData

NOVEMBER 28, 2024

“ Vector Databases are completely different from your cloud data warehouse.” – You might have heard that statement if you are involved in creating vector embeddings for your RAG-based Gen AI applications. For more details, refer to Vector similarity functions. The below flow diagram illustrates this process.

Python 52

Python Database SQL Machine Learning 52

Women in Big Data

DECEMBER 9, 2024

Lookers strength lies in its ability to connect to a wide variety of data sources. Examples include SQl, DWH, and Cloud based systems (Google Bigquery). With Looker, you can share dashboards and visualizations seamlessly across teams, providing stakeholders with access to real-time data.

Big Data 52

Big Data Big Data Power BI Tableau 52

phData

JANUARY 4, 2023

Data Sharing Enterprises can easily create data sharing relationships with direct, governed, and secure sharing in near-real time. With Snowflake, organizations can be data consumers, data providers, or both.

Data Warehouse 52

Data Warehouse SQL Database ETL 52

phData

MARCH 27, 2024

The SnowPro Advanced Administrator Certification targets Snowflake Administrators, Snowflake Data Cloud Administrators, Database Administrators, Cloud Infrastructure Administrators, and Cloud Data Administrators. How Many Days Will It Take to Learn Snowflake?

Data Analyst 52

Data Analyst Data Engineering Data Engineering Data Engineering 52

phData

SEPTEMBER 4, 2024

ThoughtSpot is a cloud-based AI-powered analytics platform that uses natural language processing (NLP) or natural language query (NLQ) to quickly query results and generate visualizations without the user needing to know any SQL or table relations. Why Use ThoughtSpot?

Analytics 52

Analytics Analytics SQL ETL 52

phData

JUNE 26, 2024

Luckily, there are a few ways we at phData can help you make informed decisions when purchasing inventory and save you money: As mentioned earlier, we have expert data engineers to collect and clean the relevant data needed for inventory analysis, including sales, current inventory levels, seasonal/promotional, and market trend data.

Machine Learning 52

Machine Learning Machine Learning Data Engineering Data Engineering 52

phData

APRIL 20, 2023

Hashed PKs were introduced as a means of eliminating the bottleneck encountered by most database sequence generators, making this DV pattern ideal for customers prioritizing data loading performance and using data warehouse automation tools. If data is present, Tasks runs SQL to push it to the raw data vault objects.

Data Warehouse 72

Data Warehouse Data Governance Clustering Database 72

phData

MAY 6, 2025

Youll learn how Datasets empower users to create dynamic reports and dashboards without writing SQL, while also ensuring consistency and reusability across your organization. Key Features of a Dataset in Sigma Analytics Reusable Data Model Datasets can be used across multiple workbooks and analyses, thus preventing redundancy.

SQL 52

SQL Database Data Warehouse Analytics 52