Analytics

An effective data platform thrives on solid data integration, and for Kafka, S3 data flows are paramount. Data engineers often grapple with diverse data requests related to S3. Enter Lenses. By partnering with major enterprises, we've levelled up our S3 connector, making it the market's leading choice. We've also incorporated it into our Lenses 5.3 release, boosting Kafka topic backup/restore.

Enterprises are drowning in data. Structured, semi-structured or unstructured data for the modern, data-driven enterprise is everything, everywhere, all at once. But that’s also a challenge for enterprises looking to transform their data into usable information for business success. The sheer volume of data is challenging the ability of enterprises to find trustworthy, reliable data to drive their business decisions. Traditional data catalogs offer only structured data discovery.

Not all heroes in the tech world write code. Some wield the power of data analytics and SEO to create compelling stories and foster brand growth. This week, our Monday Member Spotlight features Jose, TestQuality’s Marketing Assistant with years of specialized experience in Google Analytics and SEO. Let's explore how he takes a data-driven approach to spread the word about TestQuality.

Secure File Transfer Protocol (SFTP), at its core, is a protocol designed to provide secure file transfer capabilities. With an extensive application in web development and IT infrastructures, its primary use case revolves around the encrypted transfer of files between remote servers and local machines.

Transferring files securely between machines is a fundamental part of the ETL (Extract, Transform, Load) process, which involves extracting data from one source, transforming it for analysis, and loading it into a data warehouse. The challenge? Ensuring these files are both sent and received without interception by malicious entities. For years, FTP (File Transfer Protocol) served as the go-to method to transfer files between a client and server on a network.

AtScale enables Google Cloud users to build a single source of governed analytics to enable self-service business intelligence and data science programs.