using multiple AWS services to create a modern data architecture that enables further manufacturing transformation. The first workstream transformation focuses on process control. “We spent a ...

Modern data systems still ... and expressing those rules or using decision tables. There are places where actual algorithms might be implemented using R or Python and possibly Spark for in-memory ...

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

When it comes to digital transformation, data ... go architecture eliminates the costly and labor-intensive task of estimating peak loads and enables developers to pay only for what they use ...

In this data-driven world, advancing analytics through centralized cloud data solutions and legacy system transformations ... during data migration and “Use of Python in Data Science, Data ...

UK health and wellbeing firm Holland & Barrett is using a wide set of tools from Amazon Web Services (AWS) to help ... II of a planned digital transformation, it has already achieved the basics of a ...

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 ...

Assessing Current Landscape And Pain Points: Conduct a detailed diagnostic of current processes, systems and data ... transformation of finance is well underway, and a modern digital finance ...

Specializing in cloud infrastructure, cybersecurity, and enterprise architecture, he has successfully led large-scale cloud migrations and built AI-ready data ... modern platforms like Databricks ...