Systems | Development | Analytics | API | Testing

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To Those Who Think #SoftwareTesting Is Dead | Mahesh Chikane | #automationtesting #testautomation

In this video, Mahesh Chikane delves into the future landscape of software testing in 2024. In this discussion, Mahesh explores the evolving nature of jobs in the tech industry, the increasing prevalence of automation, and the crucial importance of upskilling for software testers. With AI on the horizon, Mahesh provides valuable insights into how the role of testing is poised to change and the skills needed to thrive in this dynamic environment.

How to Create Big Number and Vertical Column Charts in Yellowfin

Welcome back to Yellowfin Japan’s ‘How to?’ blog series! In our previous blog, we went through how to capture data using Yellowfin's Data Transformation flow, and the preparation and steps for creating reports using Yellowfin View. It may seem like a lot of simple work, but as the number of reports to be created increases, the importance of data preparation becomes far more apparent. So, what about after you’ve done all the setup? Well, it’s now time to create reports!

Creating a Private API Gateway: Steps and Considerations

In this article, we’re diving deep into the nuts and bolts of creating a private API gateway. From the initial installation to securing your API with keys and roles, we’ll walk you through every step of the process. Whether you’re looking to connect to a Microsoft SQL Server database or any other popular database, DreamFactory makes it a breeze, automating the tedious parts and letting you focus on what matters most: your data.

5 AI Capabilities Your Business Needs

Prior to 2022, a lot of the AI news centered on use cases like self-driving cars. Of course, use cases like these didn’t exactly apply to enterprise software. In 2023 ChatGPT showed the abilities of AI to mimic human language, but still, this only scratched the surface of AI applications for the modern enterprise. If you’ve ever asked yourself, “What is AI capable of?” then consider the following examples: How many emails do you get per day?

Snowflake vs BigQuery | Key Differences & How to Choose

When it comes to cloud data warehousing, the choice between Snowflake vs BigQuery is crucial for businesses that rely on big data analytics for decision-making. Snowflake, known for its flexibility and ease of use, contrasts with BigQuery, Google’s fully-managed, serverless data warehouse that excels in speed and scalability. Understanding the main differences between these two platforms is essential for selecting the right solution that aligns with your data strategy and operational needs.

Safeguarding continuous delivery and guaranteeing success in your S/4HANA-enabled program

This blog was developed and published in collaboration with our partner, Capgemini. Organizations must move away from outdated methods of SAP delivery as they transition to S/4HANA and the cloud environment. The old school SAP approaches are no longer adequate for today’s requirements. They stem from the time in the 1990s and early 2000s when the enterprise resource planning (ERP) estate remained somewhat stagnant.

Marketplace Monetization: Turn Your Data and Apps into a Revenue Stream

Snowflake Marketplace is a vibrant resource, with hundreds of providers offering thousands of ready-to-try or ready-to-buy third-party data sets, applications and services. Many of these providers make their products available on Snowflake Marketplace for Snowflake customers to purchase — and they use our integrated Marketplace Monetization capabilities to simplify the process and speed up procurement and sales cycles.

Effortless Stream Processing on Any Cloud - Flink Actions, Terraform Support, and Multi-Cloud Availability

Since we launched the Open Preview of our serverless Apache Flink® service during last year’s Current, we’ve continued to add new capabilities to the product that make stream processing accessible and easy to use for everyone. In this blog post, we will highlight some of the key features added this year.

Data Product Manager Essentials: Unleashing Innovation and Growth

Just a couple decades ago, human resource departments didn’t look for data product managers. The job didn’t exist because organizations rarely needed professionals to oversee data products and the teams that build them. They might have employed data scientists, but they didn’t need people focused on management more than they focused on data.