This TDWI Best Practices Report identifies current challenges organizations are facing with data strategy and management, as well as shared modernization priorities for achieving data-driven business ...

Bharthepudi operates at the intersection of data engineering and enterprise transformation. As a cross-functional leader, he ...

It’s time to clarify misperceptions and examine what serverless really looks like, especially in a world increasingly shaped ...

Master DevOps and CI/CD in 2025. Complete guide to automation, containerization, cloud-native practices, and modern ...

Master data science in 2025. Complete guide to machine learning, big data analytics, Python programming, statistical modeling ...

As enterprises continue to modernize their data systems ... use case. Java gives us stability, Scala adds concurrency benefits, and Python offers speed where we need it." Additionally, he was ...

Ashitosh Chitnis stands at the forefront of this movement—an architect of scalable, enterprise-grade data solutions with deep expertise spanning Google BigQuery, AWS, SAP's public cloud ...

Many people use generative AI tools as if they’re personal ... when in reality, that data is often stored, reviewed, and in some cases, left vulnerable. Major platforms like OpenAI’s ChatGPT ...

Data pipeline management changes the game — optimizing log ingestion, enriching security data, and reducing SIEM costs without sacrificing detection capabilities. Learn how modern data ... known for ...

To Ashok, robust data architecture is essential for any successful digital transformation, and his work developing modern data warehouses ... such as Snowflake, AWS S3, Kafka, and Spark, Ashok ...

Essential transformation and ... that have already implemented a modern data architecture to extract business value from their information assets, using this infrastructure to support security ...