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Types of Data Integration: ETL, ELT, and More
Data integration is the foundation for meaningful analytics and AI. ETL, ELT, CDC, or other approaches, the right choice depends on your business goals and technical environment.
1 day ago3 min read


How to Integrate Disparate Data Sources Effectively
In most companies, data is scattered throughout, but rarely centralized in one place. Customer behavior is tracked in product analytics, financial metrics are stored in a cloud-based warehouse, and marketing campaigns are managed across third-party tools. As your business grows, the more fragmented it becomes.
Sep 133 min read


The Role of PySpark in Modern ETL Workflows
Legacy ETL tools were developed when data volumes were smaller, data pipelines were primarily batch-based, and latency was not a critical concern. But today's data landscape is a different thing.
Sep 24 min read


What are Data Contracts and Why They are Gaining Momentum
A data contract is a formal agreement between data producers and consumers that defines the structure, format, and expectations of data being shared. It is an API contract, but for data.
Aug 222 min read


Data Orchestration: Why Managing Your Data Pipelines is Crucial
Data orchestration enables organizations to transition from reactive troubleshooting to proactive, confident data management. It is a crucial step for any business serious about leveraging data as an asset.
Aug 123 min read


Why Product Analytics Needs More Than Just BI Tools
Discover why BI tools alone aren’t enough for product analytics and how custom solutions help teams move faster and make smarter decisions.
Aug 23 min read


Why You Need a Data Architect Before Planning Your Analytics Strategy
Discover why involving a Data Architect early helps you avoid chaos, reduce costs, and build scalable, business-aligned analytics systems.
Jul 224 min read


How to Build a Single Source of Truth for Your SaaS Product
As your SaaS product grows, so does your data. User behavior, billing, product usage, marketing campaigns, and support tickets are...
Jul 143 min read


When Off-the-Shelf Analytics Isn’t Enough: Why Custom Matters
Most businesses start their analytics journey with off-the-shelf tools, such as Google Analytics, CRM dashboards, or standard financial...
Jun 123 min read


From Data to Decisions: How Custom Analytics Empowers Product Teams
Custom analytics means designing data collection, pipelines, and dashboards specifically around your product’s goals not relying solely on generic tools or pre-set metrics. It allows teams to define and track the signals that truly matter to their business, from onboarding flows to in-app behavior to feature adoption patterns. With this kind of tailored setup, businesses can: monitor product-specific user behavior that out-of-the-box tools might miss
May 143 min read
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