Systems | Development | Analytics | API | Testing

As a modern application, yours always deals with credentials, secrets, and configurations to connect to other services like an authentication service, database, cloud services, microservices, etc. Keeping your username, password, and other login information in the source code of your application is not a good idea because they could be exposed if you share or publish the programme. Before sharing the code, you must delete or remark the credentials, which requires more work from you.

Learn how these trends highlight the growing importance and adoption of cloud-based solutions for businesses of all sizes.

Cloudera’s SQL Stream Builder (SSB) is a versatile platform for data analytics using SQL. As apart of Cloudera Streaming Analytics it enables users to easily write, run, and manage real-time SQL queries on streams with a smooth user experience, while it attempts to expose the full power of Apache Flink. SQL has been around for a long time, and it is a very well understood language for querying data.

Extract, Transform, Load (ETL), and Extract, Load, Transform (ELT) pipelines are standard data management techniques among data engineers. Indeed, organizations have long been using these processes to create effective data models. However, there has recently been a remarkable rise in the use of Software-as-a-Service (SaaS) based customer relationship management (CRM) apps, such as Salesforce, Zendesk, Hubspot, Zoho, etc., to store and analyze customer data.

AIOps is an emerging technology that applies machine learning and analytics techniques to IT operations. AIOps enables IT teams to leverage advanced algorithms to identify performance issues, predict outages, and optimize system performance. Nodesource sees significant advantages for developers and teams to increase software quality by leveraging AIOPS.

M1 Max Studio is now available for complex, memory-heavy builds — exclusively at Bitrise. View the M1 Max Studio options to further strengthen your raw computing speed.

By Jason Bloomberg, President, Intellyx Part 2 of the Demystifying Data Observability Series for Unravel Data In part one of this series, fellow Intellyx analyst Jason English explained the differences between DevOps and DataOps, drilling down into the importance of DataOps observability. The question he left open for this article: how did we get here? How did DevOps evolve to what it is today, and what parallels or differences can we find in the growth of DataOps?

In a fast-paced world that produces more data than it can ingest, the right Python ETL tool makes all the difference. But not all Python tools are made the same. Some Python ETL tools are great for writing parallel load jobs for data warehousing, others are specialized for unstructured data extraction. In this article, we’ll explore the 7 best tools for ETL tasks and what business requirements they help you fulfill: Let’s dive right into the best tools and see how they compare.

In this continuation, Allen Loew, a Principal Quality Engineer and Sauce Labs advocate, explains how saucectl has transformed his team's test efficiency. We’re excited that Sauce Labs new fellowship program is in full swing. Over the next several weeks, we’d like to introduce you to the five fellows who are working hard to improve and open source Elemental Selenium.

Banking, financial services and insurance (BFSI) as a sector plays a major role in the global market for software testing services, with a particular focus on the security aspect of software products and digital processes. In this article, we’ll take a closer look at how companies in banking and finance are approaching software testing, as well as how they’re using it to handle the growing pressure to embrace and succeed with digital transformation.