Analytics

Open, Interoperable Storage with Iceberg Tables, Now Generally Available

Thousands of customers have worked with Snowflake to cost-effectively build a secure data foundation as they look to solve a growing variety of business problems with more data. Increasingly customers are looking to expand that powerful foundation to a broader set of data across their enterprise.

Mastering EDI Integration: A Comprehensive Guide

With today's fast-paced business environment, efficiency in data exchange holds the key to competitiveness and overall effectiveness in operations. EDI (Electronic Data Interchange) contributes massively to achieving this efficiency, redefining the way companies handle their data transactions. EDI is vital for doing business today. These automated workflows enable reduced transaction costs and improved data accuracy.

What Is API Security? 7 API Security Practices

Application Programming Interface (API) security is the practice of protecting APIs from attacks. Like databases, servers, and networks, APIs are susceptible to attacks from hackers looking to gain access to sensitive data. Since APIs are more commonly used — to the extent that they’ve become a fundamental part of modern applications — they’ve become a popular target for hackers.

The 10 Best API Integration Tools, Platforms, and Software (easy to use)

Application Programming Interface (API) is a set of rules or protocols that allows one software application to interact with another. An API integration tool is a software that facilitates the ‘talk’ or communication and data sharing between different software systems and applications. While manual API integration is possible, utilizing API integration tools enhances the efficiency and reliability of this process.

Modern Data Engineering: Free Spark to Snowpark Migration Accelerator for Faster, Cheaper Pipelines in Snowflake

In the age of AI, enterprises are increasingly looking to extract value from their data at scale but often find it difficult to establish a scalable data engineering foundation that can process the large amounts of data required to build or improve models. Designed for processing large data sets, Spark has been a popular solution, yet it is one that can be challenging to manage, especially for users who are new to big data processing or distributed systems.

The Future of Telecoms: Embracing Gen AI as a Strategic Competitive Advantage

The telecom industry is undergoing an unprecedented transformation. Fueled by tech advancements such as 5G, cloud computing, Internet of Things (IoT) and machine learning (ML), telecoms have the opportunity to reshape and streamline operations and make significant improvements in service delivery, customer experience and network optimization.

5 Data Fabric Use Cases IT Leaders Should Know About

The magic of a data fabric architecture lies in its ability to unify data access and integration, enable real-time analytics, enhance governance and security, and boost operational efficiency. It’s not just a tool; it’s a game-changer. For IT leaders in this age of acceleration, understanding the top use cases of data fabric can mean the difference between winning and losing the race for customers and market share.