Banking & Finance4 min read
Data Analytics in Banking: A 2026 Reference Guide
What does analytics mean inside a modern bank? A practical 2026 reference covering layers, regulation, lakehouse, real-time and AI patterns.
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Posts tagged Data Warehouse
Banking & Finance
Technical Deep Dive3 min read
Data Mesh: Domain-Driven Data Architecture
When the central data team becomes the bottleneck, Data Mesh offers a way out through domain ownership and federated governance. Which organisations benefit, and which traps to watch.
Big Data3 min read
Apache Iceberg and Open Table Formats in the Lakehouse
With Snowflake, AWS and Databricks all backing it, Iceberg has become the de-facto standard for open table formats. End of vendor lock-in or new complexity?
Big Data2 min read
Data Lake vs. Data Warehouse: When to Use Which?
Lake and warehouse still serve different needs. The lakehouse converges them — but the decision matrix matters more than ever.
Technical Deep Dive2 min read
Star Schema or Snowflake? The Dimensional Modelling Decision
Kimball's classic debate is still meaningful today: star versus snowflake schema and what actually changes in the cloud era.
Banking & Finance2 min read
Data Masking Strategies for KVKK and GDPR Compliance
How do you safely use production data in test environments? Static masking, dynamic masking, pseudonymization and synthetic data compared with recommendations for each scenario.
Technical Deep Dive3 min read
dbt Best Practices: Modular Data Transformations
dbt has become the de-facto standard for analytics transformations. Nine practices that turn it from a SQL preprocessor into a sustainable engineering discipline.
Cloud Architecture2 min read
Azure Synapse vs Snowflake: Making the Right Choice in Turkey
Two leading cloud data warehouses — Synapse and Snowflake — come with different strengths. The evaluation criteria we apply for Turkish enterprises.
Data Management3 min read
What Is Master Data Management (MDM) and Why It Matters
Master Data Management turns the enterprise's scattered customer, product and supplier records into a single trusted reference. Here is why every data-driven organisation eventually has to run an MDM programme.
Banking & Finance2 min read
Banking Data Warehouse: Critical Architecture Decisions
Data warehouse projects in banking succeed more through architectural discipline than technology choice. Five decision areas that decide the outcome, distilled from BIART's large-bank engagements.
Industry News2 min read
2026 Data Platform Trends: Takeaways from Gartner's Report
Five trends distilled from Gartner's 2026 Data & Analytics Magic Quadrant and Hype Cycle — what enterprise data strategy should plan for.