Migros is the largest retailer in Turkey, with more than 2500 outlets selling fresh produce and groceries to millions of people. To maintain high-quality operations, the company depends on fresh, accurate data. And to ensure high data quality, Migros depends on Talend. The sheer volume of data managed by Migros is astonishing. The company’s data warehouse currently holds more than 200 terabytes, and Migros is running more than 7,000 ETL (extract, transform, load) jobs every day.
Every enterprise is trying to collect and analyze data to get better insights into their business. Whether it is consuming log files, sensor metrics, and other unstructured data, most enterprises manage and deliver data to the data lake and leverage various applications like ETL tools, search engines, and databases for analysis. This whole architecture made a lot of sense when there was a consistent and predictable flow of data to process.
Whether we’re shopping online or reserving a table at our favourite restaurant — we might use web applications in several instances during the day. Owing to how we consume content and perform our day-to-day functions now, businesses are optimizing web apps and how! From making them more user-friendly to crafting a mobile app-like experience, we’ve swiftly moved to the era of progressive web apps.
Apps of today differ from those of the past. Evolving organizations like Cargill need to scale quickly to support millions of users, have global availability, manage petabytes or more of data and respond in milliseconds. That’s why modern apps now leverage API automation.
Node.js projects in Honeybadger can now officially take advantage of source maps, just like Client-Side JavaScript projects can.
We’re proud to announce that we’ve received our first SOC2 Type II report, meaning that a rigorous audit validated our compliance with the highest industry standards, confirming our commitment to the security of your data.
The rise in digital transformation over the past few years means that more and more companies are adopting cloud native technologies. While these distributed architectures provide scalability and agility, they also increase complexity. As Arnal Dayaratna, research director in software development for IDC, writes, “One of the challenges faced by contemporary developers is the task of understanding applications that they may not have even developed or used .”