A new BigQuery anti-pattern recognition tool scans SQL queries to identify anti-patterns, and provides optimization recommendations.

Retail businesses contend with data challenges unique to a fast-paced, high-volume industry.

Whether your organization’s growth is led by product, marketing or sales, small proofs of concept can springboard you towards better data infrastructure.

Push notifications have steadily solidified their role as a pivotal element in business marketing strategies, offering an immediate, unfiltered line of communication with customers. ‍ However, there is a delicate balance to maintain between efficient push notifications and those that are merely intrusive. It is here where personalization and A/B testing, among other considerations, become instrumental in honing the effectiveness of these real-time messages.

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Combine the flexibility of data lakes, governance of data warehouses and automated data movement.

Penguin Random House’s Pete Williams on riding the data maturity curve, people and data literacy and readiness to enable and exploit.

To become a data-driven business and perform effective data management, organizations must construct high-performance data pipelines that can effectively collect, process, and analyze their enterprise information. When handling data processing and integration, companies have several choices for how to construct their data flows. Instead of writing custom data workflows from scratch, most businesses decide to use an ELT data platform that seamlessly connects the various datasets in their IT ecosystem.