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Application Modernization Solutions: Transform Your Enterprise with Cigniti's AI-led Approach

Revitalize your business with our expertise in Application Modernization. IDC predicts that 75% of legacy applications will demand modernization investment by 2024. The imperative to modernize your legacy applications has evolved from being an option to an absolute necessity. Unlocking the genuine value of digital requires a critical focus on modernizing legacy infrastructure. Despite this urgency, numerous companies hesitate or lack clarity when updating their current applications.

Cloudera Operational Database (COD) Performance Benchmarking: Comparing HDFS and Cloud Storage

Have you ever wondered how massive business and consumer apps handle that kind of scale with concurrent users? To deploy high-performance applications at scale, a rugged operational database is essential. Cloudera Operational Database (COD) is a high-performance and highly scalable operational database designed for powering the biggest data applications on the planet at any scale.

Kensu + Azure Data Factory: A Technical Deep Dive

With 38% of data teams spending between 20% and 40% of their time fixing data pipelines¹, delivering reliable data to end users can be an expensive activity for data teams. With Kensu’s latest integration with Azure Data Factory, ADF users now benefit from the ability to observe data within their Azure Data Factory pipelines and receive valuable insights into data lineage, schema changes, and data quality metrics.

Build Streaming Apps Quickly with Flink SQL Workspaces

At this year’s Current, we introduced the public preview of our serverless Apache Flink® service, making it easier than ever to take advantage of stream processing without the complexities of infrastructure management. This first iteration of the service offers the Flink SQL API, which adheres to the ANSI standard and enables any user familiar with SQL to use Flink.

How to use generative AI for exploratory testing? (With examples)

Generative AI is bringing a new era of “convenience” with ChatGPT, from OpenAI, taking center stage in our daily lives. From aiding in solving complex problems to generating content, this large language model has become a helpful companion for various testing-related tasks. As generative AI is becoming increasingly present in our daily lives, we should understand how to use it and account for its limitations.

Six Key Predictions for Artificial Intelligence in the Enterprise

As we head into 2024, AI continues to evolve at breakneck speed. The adoption of AI in large organizations is no longer a matter of “if,” but “how fast.” Companies have realized that harnessing the power of AI is not only a competitive advantage but also a necessity for staying relevant in today’s dynamic market. In this blog post, we’ll look at AI within the enterprise and outline six key predictions for the coming year.

Branch by Abstraction | Microservices 101

The Branch by Abstraction Pattern is a method of trunk-based development. Rather than modifying the code in a separate branch, and merging the results when finished, the idea is to make modifications in the main branch. An abstraction layer is used to ""branch"" the code along an old and new path. This approach has some key advantages, especially when decomposing a monolith.