Organizations today generate more data than ever, but the real question is how effectively they can turn that data into decisions. For...

Elasticsearch powers search, real-time analytics, and scalability for leading companies like Netflix, Uber, and GitHub. This guide explores its key features, real-world use cases, and business benefits that make it a strategic asset for modern enterprises.

The Tableau vs Looker decision is more than a feature comparison, it’s about building a scalable, governed data culture. At SquareShift, we specialize in guiding enterprises through Tableau to Looker migrations with a structured, proven approach. From auditing existing workbooks to building a unified LookML model, we ensure a seamless transition that unlocks the full value of Looker for modern BI.

Learn how to delete index in Elasticsearch using REST API, Kibana, scripts, and ILM. Discover best practices to avoid downtime and data loss.

As our SaaS platform rapidly expanded, maintaining a scalable and reliable search infrastructure became a major challenge. We were spending more than 40% of our engineering bandwidth resolving performance issues and fine-tuning clusters — leaving little time to build features users actually wanted. Adopting Managed Elasticsearch allowed us to streamline search operations, automate scaling, and focus on enhancing search relevance and user experience.

As organizations migrate to Google Cloud, strong data governance is critical for building trustworthy AI. Regulators and boards expect transparency and compliance, making responsible data handling a priority. By treating data as a regulated asset and leveraging tools like Google Dataplex and Vertex AI, companies can ensure secure, unbiased AI systems. Trustworthy AI during GCP migration isn’t optional, it’s a long-term advantage.