Precisely

JANUARY 9, 2025

The goal of this post is to understand how data integrity best practices have been embraced time and time again, no matter the technology underpinning. In the beginning, there was a data warehouse The data warehouse (DW) was an approach to data architecture and structured data management that really hit its stride in the early 1990s.

Data Warehouse 119

Data Warehouse Hadoop Data Governance Data Lakes 119

Pickl AI

AUGUST 31, 2023

Accordingly, the need for Data Profiling in ETL becomes important for ensuring higher data quality as per business requirements. The following blog will provide you with complete information and in-depth understanding on what is data profiling and its benefits and the various tools used in the method.

Data Profiling 52

Data Profiling ETL Data Quality Data Wrangling 52

ODSC - Open Data Science

FEBRUARY 24, 2023

There are many well-known libraries and platforms for data analysis such as Pandas and Tableau, in addition to analytical databases like ClickHouse, MariaDB, Apache Druid, Apache Pinot, Google BigQuery, Amazon RedShift, etc. With Great Expectations , data teams can express what they “expect” from their data using simple assertions.

Exploratory Data Analysis 126

Exploratory Data Analysis Data Visualization Data Analysis Data Analysis 126

IBM Journey to AI blog

JANUARY 5, 2023

The right data architecture can help your organization improve data quality because it provides the framework that determines how data is collected, transported, stored, secured, used and shared for business intelligence and data science use cases. Reduce data duplication and fragmentation.

Data Quality 52

Data Quality Data Lakes Data Warehouse Big Data 52

The MLOps Blog

MAY 17, 2023

Focus Area ETL helps to transform the raw data into a structured format that can be easily available for data scientists to create models and interpret for any data-driven decision. A data pipeline is created with the focus of transferring data from a variety of sources into a data warehouse.

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ETL Data Pipeline ML ML 59

Pickl AI

OCTOBER 19, 2023

Implement Data Validation Rules To maintain data integrity, establish strict validation rules. This ensures that the data entered meets predefined criteria. Implementing validation rules helps prevent incorrect or incomplete data from being added to your databases.

Data Quality 52

Data Quality Data Governance Data Warehouse Machine Learning 52

phData

JANUARY 10, 2024

This tool provides functionality in a number of different ways based on its metadata and profiling capabilities. Imagine you wanted to build a dbt project for your existing source data warehouse in your migration to Snowflake. While this may seem like a trivial thing in concept, it’s actually incredibly powerful.

Data Warehouse 52

Data Warehouse Data Profiling Data Pipeline Database 52