2025 Data Tooling Updates: What's New for Economic Data Pipelines
A comprehensive overview of the latest updates in data tooling for economic analysis, covering new features in Apache Airflow 2.9, dbt 1.8, and emerging serverless solutions.
Insights, updates, and guides about economic data and research.
A comprehensive overview of the latest updates in data tooling for economic analysis, covering new features in Apache Airflow 2.9, dbt 1.8, and emerging serverless solutions.
Essential approaches for managing API version changes in economic data pipelines, including strategies for handling breaking changes from central banks and statistical agencies.
A practical comparison of AWS Glue, Azure Data Factory, and Google Cloud Dataflow for building economic data pipelines, with real-world cost analysis and implementation guidance.
Strategic guidance for choosing between data lake and data warehouse architectures for economic analysis, including hybrid approaches and cost considerations for financial institutions.
Comprehensive guide to implementing real-time economic data streaming systems, covering Apache Kafka, cloud streaming services, and patterns for handling market data feeds.
Strategic guidance for choosing between data lake and data warehouse architectures for economic analysis, including hybrid approaches and cost considerations for financial institutions.
Essential techniques for ensuring data quality when working with economic and financial datasets.
Essential techniques for forecasting economic indicators with Python implementations.
A comprehensive implementation guide for connecting to, authenticating with, and consuming economic and financial data APIs.
A comprehensive guide to implementing ETL workflows using Node-RED
A factual comparison of several ETL tools and their suitability for handling economic datasets.
A step-by-step guide for constructing a data pipeline to aggregate macroeconomic indicators from multiple sources.
An examination of common issues encountered when scraping macroeconomic data and strategies to address them.
A guide on using web scraping techniques to extract macroeconomic data from sites that update infrequently.
A practical guide for configuring a complete web scraping pipeline to collect economic statistics for macro-level analysis.
A comprehensive overview of the latest updates in data tooling for economic analysis, covering new features in Apache Airflow 2.9, dbt 1.8, and emerging serverless solutions.
Essential approaches for managing API version changes in economic data pipelines, including strategies for handling breaking changes from central banks and statistical agencies.
A practical comparison of AWS Glue, Azure Data Factory, and Google Cloud Dataflow for building economic data pipelines, with real-world cost analysis and implementation guidance.
Strategic guidance for choosing between data lake and data warehouse architectures for economic analysis, including hybrid approaches and cost considerations for financial institutions.