Data Migration Guide
A data migration guide provides the structured framework organizations need to move data, schemas, and workloads from legacy warehouses to modern platforms – without losing data integrity, breaking downstream analytics,
The Peliqan blog
Your go-to resource for data-driven success. Peliqan’s blog equips you with the knowledge to optimize your data strategy.
Snowflake alternatives come in three flavors: cheaper warehouses, smarter lakehouses, and consolidated platforms that replace the whole stack. Here is a practitioner-grade comparison of the 14 options that actually matter
Data Warehouse as a Service (DWaaS) is a cloud-delivered, fully-managed model for storing and analyzing large datasets – eliminating the upfront hardware costs, dedicated DBAs, and long implementation cycles of
In today’s data-driven business environment, organizations rely on multiple databases to store and manage their critical information. However, these isolated data silos often limit the potential of your data. Database-to-database
Python ETL is the practice of using Python to extract data from sources, transform it into a usable shape, and load it into a destination like a data warehouse. This
As organizations strive to become truly data-driven, they often struggle to find the right balance between business agility and technical stability. This balance is the yin and yang of nearly
Many businesses struggle from having many disparate sources of data. Marketing tracks leads in HubSpot, sales monitors interactions in Salesforce, product teams analyze user behavior in Mixpanel, and finance teams
Exact Online holds your general ledger, your debtor balances, your project hours, and your VAT records – but the moment someone asks for a live Power BI dashboard that pulls
BI in data warehouse is the architectural pairing that turned raw operational records into the dashboards, KPIs, and predictive models every modern business runs on. In short, this guide explains
Data vault modeling is a warehouse design pattern built for sources that change, schemas that drift, and audit trails that have to hold up under regulator scrutiny. It splits the
Data integration challenges are the obstacles that stop teams from turning scattered source data into a single, trusted foundation for analytics and AI: data silos, inconsistent quality, real-time demands, security,
Customer data integration (CDI) is the process of collecting customer information from CRM, e-commerce, marketing, and support systems, resolving duplicate identities, and unifying it into a single profile per customer.
In the current data-centric business environment, leveraging Business Intelligence (BI) effectively is crucial for maintaining a competitive edge. This article explores how Peliqan, an advanced all-in-one data platform, is revolutionizing
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The Peliqan blog
Your go-to resource for data-driven success. Peliqan’s blog equips you with the knowledge to optimize your data strategy.
Data Quality Best Practices
Data quality best practices are the systematic processes, standards, and cultural habits that ensure your organization’s data is accurate, complete, consistent, and fit for its intended purpose – from operational
Top DBT Alternatives & Competitors in 2026
dbt (data build tool) defined SQL-based transformation for the modern data stack. But with the Fivetran-dbt Labs merger now complete as of June 2026, consumption-based pricing that has caught teams
ELT, Transform & Activate in one place
The modern data stack promised simplicity. Instead, most data teams ended up with three separate tools – Airbyte for ingestion, dbt for transformation, and Census for activation – each with
Build and Publish an MCP Server with Peliqan
Claude, ChatGPT, and Cursor are powerful – but only as smart as the data they can reach. Most teams are still copying and pasting CRM screenshots into a chat window.
Vibe Coding a Full ELT Pipeline with Peliqan’s AI Data Engineer
The modern data stack promises everything and delivers complexity. In this walkthrough, we build a full ELT pipeline – HubSpot, Stripe, and PostgreSQL into a data warehouse, transformed into a
Top Supermetrics Alternatives & Competitors in 2026
Supermetrics has been a go-to marketing data connector for years – but escalating costs, limited transformation capabilities, and fragmented pricing are pushing teams toward better alternatives. Here’s a complete comparison
5x.co alternatives & its competitors in 2026
5X (5x.co) promises to unify your entire data stack under one roof – but is it the right fit for your team? Here’s a comprehensive comparison of the top 5X
Zoho ERP launches as India’s first AI-native platform
Zoho launched its dedicated ERP product on January 23, 2026 – not in 2024 or 2025 as widely anticipated, but just three weeks ago from its rural development center in
Top Matia Alternatives & Competitors in 2026
Matia has emerged as a rising star in the unified DataOps platform market – but is it the right choice for your data stack? Here’s a complete comparison of the
Enterprise Data Services: Strategy, ROI & Best Practices
Enterprise data services are the operating system for every modern business – the framework that decides how fast your teams can answer a question, how defensible your compliance posture is,
ETL Process Optimization: 6 Proven Strategies (2026)
Slow ETL pipelines don’t just delay dashboards – they stall every downstream decision that depends on fresh data. This guide covers the exact extraction, transformation, and loading techniques that cut