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Insights

Bridging the Gap: GCP, Kaggle, and Spark for Aspiring Data Engineers

In this blog post, we will tackle a real-world data engineering challenge. We will target the datasets via the open-sourced platform Kaggle and use the GCP services to run PySpark functions for the ETL tasks and manage the queries and results for future analytics and reporting purposes.

Insights

Data getting in the way of AI/ML success?

Ultimately, the importance of data quality, engineering and building appropriate infrastructure and pipelines to enable business outcomes by scaling AI/ML cannot be overstated.

Insights

Disrupting the product: strategies for success

While periods of decline are a normal part of the economic cycle, there’s no denying the pressure it puts on organisations, both big and small. Yet, there are still ways organisations can adapt, disrupt and outperform during an economic slowdown.

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