Systems | Development | Analytics | API | Testing

Scaling MLOps Infrastructure: Components and Considerations for Growth

An MLOps platform enables streamlining and automating the entire ML lifecycle, from model development and training to deployment and monitoring. This helps enhance collaboration between data scientists and developers, bridge technological silos, and ensure efficiency when building and deploying ML models, which brings more ML models to production faster.

How to Handle CSV Files Over SFTP: Best Practices

Secure File Transfer Protocol (SFTP) stands as a robust protocol at the disposal of businesses, offering enhanced collaborative capabilities, operational efficiency, and heightened security for confidential data. Using SFTP, organizations can confidently exchange files among users and locations, irrespective of device variations. This adoption contributes to increased productivity levels and improved security around sensitive data, shielding it from unauthorized breaches.

Snowflake Snowday 2023 Highlights

"The most important aspect of what we do is we take complex technologies, complex problems, and make them easy....We have a number of interesting announcements about how the Data Cloud keeps getting more powerful and more exciting for everyone." With those words, Christian Kleinerman, Senior VP of Product, kicks off this video, which highlights some of the key news that came out of Snowday, including the introduction of Snowflake Horizon, Snowflake Cortex, and Snowflake Notebooks.

Using Propel To Accelerate The Process Of Creating Analytics For Web And Mobile Applications

In this episode of “Powered by Snowflake,” host Daniel Myers chats with Nico Acosta, CEO and Co-founder of Propel, about his company’s API platform that’s targeted at developers and engineering teams who build customer-facing analytics into web and mobile applications. This Connected Application makes it easy to use Snowflake data to drive SaaS dashboards, product usage analytics visualizations, intelligent application workflows, and more.

Qlik announces support with Cloud Data Integration for Microsoft Fabric

With ever increasing data complexity, sources, and targets, enterprises are rightly trying to simplify their data stacks and workflows. Organizations want to build out their data fabrics with elements that work together, rather than spend time integrating various solutions.

The Importance and Benefits of a Data Pipeline

The term 'data pipeline' is everywhere in data engineering and analytics, yet its complexity is often understated. As businesses gain large volumes of data, understanding, processing, and leveraging this data has never been more critical. A data pipeline is the architectural backbone that makes data usable, actionable, and valuable. It's the engineering marvel that transforms raw data into insights, driving decisions and strategies that shape the future of enterprises.

Tackling Data Sprawl & Mitigating Risks: The Data Dynamics Connection

In today’s fast-paced world, businesses face the challenge of managing the ever-expanding volume of data at their disposal, an issue that often hinders their ability to derive the critical and accurate insights they need to thrive and stay competitive. Driven by the monumental rise of generative AI, cloud services, remote work, and IoT devices, most organizations expect their data to double by 2025.