Redshift vs BigQuery in 2026: verified pricing ($6.25/TiB vs $0.375/RPU-hour), a worked cost example, AI features, and which warehouse fits your stack.…
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Category: Data Warehousing
ETL Data Pipelines: Key Concepts and Best Practices
Data Warehousing
In the age of big data, companies rely on effective data processing methods to extract insights and make decisions that grow the business. One key process in this domain is the ETL data pipeline. Understanding ETL data pipelines and how…
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Data Warehouse Naming Conventions Guide: Best Practices (2024 updated)
Data Warehousing
Sometimes, the only thing standing between an analyst and a catastrophic management decision could be knowing the difference between the tables:_web\_user\_behavior\_v2_ and_web\_user\_behavior\_new_Effective naming conventions for your data warehouses allow data analysts to do an exponentially better job—but it’s far from…
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Can PostgreSQL Work as a Data Warehouse? (2026 Updated)
Data Warehousing Postgres
Yes, PostgreSQL can work as a data warehouse. It is a practical option when your analytical queries, data volumes, and reporting concurrency fit the resources you can provide. It is not automatically a substitute for a distributed, columnar cloud warehouse.Data…
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Introducing Query Builder: Get Insights Faster, with Zero Code
Data WarehousingExtracting meaningful, actionable insights from your data is critical to making informed decisions for your business. However, even with a managed solution, the process of querying your data often requires a deep understanding of SQL (Structured Query Language), posing a…
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The Role of Historical Data in a Data Warehouse: Insights and Strategies
Being Data-Driven Data Warehousing
Historical data is a record of past events, transactions, and activities systematically captured and stored over time. For small and medium-sized businesses (SMBs), understanding the significance of historical data within a data warehouse (DW) framework is crucial for unlocking valuable…
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Demystifying Cloud-Based Data Warehouses: Benefits and Considerations
Being Data-Driven Best Practices Data WarehousingCloud-based data warehousing has emerged as a game-changer in the realm of data management, providing businesses with unparalleled advantages in terms of scalability, accessibility, and cost-efficiency. For small and medium-sized businesses (SMBs), as well as data analysts and management professionals,…
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Looking at the Best Looker and LookerML Alternatives
Data Warehousing
Making data accessible can be a big hurdle to overcome. Luckily, Panoply makes it easy. No other platform makes syncing and storing data – without days of engineering work – so easy. However, once the data is accessible, a new…
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Empowering e-Commerce: Unwrap the Gift of Data Analysis this Holiday Season
Data Warehousing
The Holiday Season: A Goldmine for E-commerce SMBs For e-commerce SMBs, the holiday season represents a golden opportunity to boost sales and expand their customer base. However, with great opportunity comes great responsibility. The increased demand and heightened customer expectations…
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Democratize Your Data with a Data Warehouse
Data WarehousingData democratization allows everyone in your business, regardless of their role or level of technical savvy, to access and use data as it relates to their role. A self-serve data model from a single source of truth is essential if…
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Do You Have the Data Connector Blues?
Being Data-Driven Data Management Data Warehousing
Are you struggling with connecting problematic data sources to your data warehouse? Don’t worry, you’re not alone, and it’s a common frustration data professionals mention when speaking with us about our managed data warehouse solution. At Panoply, we’re here to…
AI or not AI? This is the question.
Data Warehousing
AI gives us great capabilities to learn and work faster. We’ve all experienced, or heard about, hundreds of success stories where AI tools not only sped up business processes or individual work output, but even solved previously “stuck” problems. Just…