Your go-to resource for data-driven success. Peliqan’s blog equips you with the knowledge to optimize your data strategy.
What is data wrangling ? A major challenge when working with data is the quality of the data. Whether you want to visualize data in a dashboard or BI tool,
Beware, for this is a geeky blog article ! We’ll talk about the different types of workflows found in various data pipeline tools and in the modern data stack. Why
Data has become a valuable asset in every company, as it forms the basis of predictions, personalization of services, optimization and getting insights in general. While companies have been aggregating
Your go-to resource for data-driven success. Peliqan’s blog equips you with the knowledge to optimize your data strategy.
Data Mesh Architecture has emerged as a revolutionary approach to handling complex data landscapes. Unlike traditional centralized data models, it empowers organizations with a decentralized, domain-oriented structure, making data more
Data warehousing and data mining are the two disciplines that turn raw business data into decisions. Data warehousing is the practice of consolidating data from many sources into a single
Metabase Field Filter Table of Contents Metabase Field Filter Automate SQL Field Filter Updates in a Metabase Dashboards In the world of data analytics, efficient dashboard management is crucial for
An ETL pipeline moves data from where it lives to where it gets used – and gets the format right along the way. The concept is simple. Building one that
SQL integration is how organisations turn scattered databases, applications, and files into one consistent, query-ready source of truth. For many Microsoft-centric teams, SQL Server Integration Services (SSIS) is still the
In today’s data-driven world, organizations are inundated with vast amounts of information from diverse sources. However, the true value of this data lies not just in its volume, but in
In today’s data-driven business landscape, the ability to effectively extract, analyze, and leverage Customer Relationship Management (CRM) data is paramount. For a significant number of enterprises worldwide, Salesforce serves as
In today’s data-driven business landscape, organizations rely heavily on insights derived from vast amounts of data collected from various sources. To make sense of this data and use it for
Extract, Transform, and Load (ETL) is a data integration process that involves extracting data from various sources, transforming it into a standardized format, and loading it into a target data
Data warehouse integration is the practice of consolidating data from ERPs, CRMs, databases, files, and SaaS apps into a single warehouse where it can be cleaned, modeled, and queried as
Data warehouse modeling is the practice of designing how data is structured, related, and stored in a warehouse so it is fast to query and easy to analyze. This guide
In today’s data-driven world, organizations are inundated with information from countless sources. The challenge lies not just in collecting this data, but in transforming it into actionable insights that drive
