Built with BigQuery: Aible's Serverless Journey to challenge the Cost vs. Performance Paradigm

Understanding the difference between structured and unstructured data is a critical first step to creating a comprehensive plan for fully utilizing your company's data.‍

Use Fivetran to rapidly and automatically ingest CSV and other ASCII files of unknown structure.

Leverege uses BigQuery as a key component of its data and analytics pipeline to deliver innovative IoT solutions at scale.

Data integration is essential for businesses to achieve efficient and effective processes. For successful data integration, businesses can choose between in-house software development or outsourcing their data integration needs. Due to the potential risks of developing in-house, it may make sense for your company to outsource your data integration needs to a trusted third party to ensure all your needs are met on time and on budget.

Seagate is the world’s leading data storage solution. Together with Iguazio, Seagate is able to manage data engineering at scale while harnessing petabytes of data, efficiently utilize resources, bridge the gap between data engineering and data science and create one production-ready environment with enterprise capabilities. In this new webinar, Vamsi Paladugu, Sr.

Deep learning has become a buzzword in the field of artificial intelligence (AI) in recent years. It has achieved impressive results in a variety of tasks, including image and speech recognition, natural language processing, and even playing games.

When thinking about a product analytics solution, an essential component of the process lies in deciding between two types of data storage: cloud or on-premise. Each has its advantages and disadvantages depending on a number of factors, such as the stage or size of a business, budget, etc. Before we can tackle these variables, we should understand what each option entails.