#data-engineering

#data-engineering

Data teams need a collaborative strategy to align and deliver long-term value rather than reacting to immediate demands.

Data is becoming crucial for businesses, and effective data engineering is essential for leveraging cloud technology while addressing associated security risks.

Complex aggregation problems require advanced solutions beyond straightforward SQL functions.

User Defined Aggregate Functions (UDAFs) are essential for calculating median values in Spark.

Performance and implementation ease are critical factors in selecting aggregation techniques.

Computer Weekly's Buyer's Guides educate and guide readers through the IT buying cycle to ensure informed purchasing decisions.

Climatiq is a climate tech startup focused on driving action through a carbon calculation engine used by organizations globally.

Uber upgraded its search infrastructure from Apache Lucene 8.0 to 9.5, improving search capabilities and overall performance.

Databricks Apps enhance data accessibility for business users, enabling quicker insights without extensive engineering work.

Mastering Data Structures and Algorithms is crucial for optimizing data engineering tasks.

AI like GenAI and ChatGPT can enhance data engineering productivity with precise requirements.

AI is not likely to fully replace human expertise in data engineering; areas like basic data querying, troubleshooting pipeline failures, and anomaly detection still require human intervention.

Latana provides brand insights for better marketing decisions and works with top B2C brands like Headspace and Unilever to optimize brand performance.

Data engineering grows exponentially with company expansion and mergers.

Data Mesh is a disruptive solution with significant organizational level changes.

Dagster is a powerful tool for creating data pipelines using Python.

Pedram Navid, Head of Data Engineering at Dagster Labs, discusses data pipelines on Talk Python.

Monitoring Airflow is vital for optimizing performance and reliability of data pipelines.

Discover HPCC, a high-performance computer cluster for data analytics, through the insights of Bob Foreman, in an episode of Ai X Podcast.