Systems | Development | Analytics | API | Testing

How to implement shoulder-checks and improve quality as a team

The software Quality Assurance role (QA) has traditionally been seen as a person who finds bugs and tries to break things. While these tasks still remain a big part of the QA’s role, the industry has seen a shift towards a more holistic approach where the QA role advocates for the overall quality of delivery — both product and process. Incorporating the exercise of “shoulder checks” into the agile software development lifecycle increases quality output.

Managing Costs for Spark on Amazon EMR

Are you looking to optimize costs and resource usage for your Spark jobs on Amazon EMR? Then this is the webinar for you. Overallocating resources, such as memory, is a common fault when setting up Spark jobs. And for Spark jobs running on EMR, adding resources is a click away - but it’s an expensive click, so cost management is critical. Unravel Data is our AI-enabled observability platform for Spark jobs on Amazon EMR and other Big Data technologies. Unravel helps you right-size memory allocations, choose the right number of workers, and map your cluster needs to available instance types.

Adapting FMEA Steps for Modern Risk Management

If you’re in a regulated industry, you or your team has likely had to use Failure Mode and Effects Analysis (FMEA) for compliance. But because of the way regulated industries have to balance between the world of very strict quality standards and also high-velocity Agile processes, traditional FMEA has to evolve in order to meet the challenges that are arising in this new reality.

Moesif API Analytics is SOC 2 Compliant

Moesif is pleased to announce that it has successfully completed its SOC 2 Certification. The Moesif API Analytics Platform has now been independently verified to comply with the highest standards of security. Through completion of this comprehensive level of certification, Moesif has demonstrated that it can reliably and securely maintain the confidentiality, availability and integrity of enterprises’ critical data assets.

Expanding Your Analytics Audience: Make Information More Accessible with Natural Language Query

In an ideal world, all employees serving across all job functions would be able to access and analyze all the information they need with ease. Unfortunately, today most analytics technologies still require specialized skills and expertise. As a business intelligence industry we try to overcome these obstacles by making self-service analysis easier with improvements to the user interface and streamlined processes. But we know that analysis, by nature, is complex and requires data literacy and skills.

Appian 21.4: Further Extend the Reach and Impact of Your Organization

As digital transformation continues full steam ahead across all industries, organizations are challenged by limited resources in a setting where speed to market is essential. We’re excited to announce Appian 21.4, which has new capabilities that extend the reach of your organization, delivering powerful mobile, AI, and data capabilities that let you connect with your customers anywhere. Only have a few minutes?

REST API With Python

According to Stack Overflow Developers’ Survey 2019, Python is the second “most loved” language with 73 percent of the developers choosing it above other languages prevailing in the market. Python is a highly versatile language that supports a wide variety of use cases across several languages. It is a language well-known for its ease of use, portability, and ability to handle large data sets.

More Throughput and Faster Execution for Interactive Use Cases: Now in Public Preview

Snowflake is the data backbone for thousands of businesses, enabling data access and governance needed to deliver value. Interactive use cases in some data applications and embedded analytics, however, pose a particular challenge. Traditionally, you needed an additional caching layer to provide the required speed and throughput these solutions require—which also increased costs and architectural complexity.