Over the years, I’ve collected a set of practical tips and lesser-known features that significantly reduce development effort and runtime, from auto-mapping hundreds of fields in minutes to optimizing lookups, caching, and pushdown processing.
In this post, I’ll share concrete, hands-on techniques that help you work faster, cleaner, and more efficiently with SAP Data Services — focusing on real-world scenarios rather than only theory.
I’ll start with bulk mapping an input dataset within a Query transform to automatically apply bulk cleansing logic and bulk datatype settings since this is something many colleagues I am working with did not know about and which also saves a lot of time depending on the amount of fields/data attributes you need to work with.
Over the years, I’ve collected a set of practical tips and lesser-known features that significantly reduce development effort and runtime, from auto-mapping hundreds of fields in minutes to optimizing lookups, caching, and pushdown processing.In this post, I’ll share concrete, hands-on techniques that help you work faster, cleaner, and more efficiently with SAP Data Services — focusing on real-world scenarios rather than only theory.I’ll start with bulk mapping an input dataset within a Query transform to automatically apply bulk cleansing logic and bulk datatype settings since this is something many colleagues I am working with did not know about and which also saves a lot of time depending on the amount of fields/data attributes you need to work with. Read More Technology Blog Posts by SAP articles
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