Data professionals go through gyrations to extract, ingest, move, clean, format, integrate, transform, calculate, and aggregate data before releasing it to the business community. These “data pipelines” are inefficient and error prone: data hops across multiple systems and is processed by various software programs. Humans intervene to apply manual workarounds to fix recalcitrant transaction data that was never designed to be combined, aggregated, and analyzed by knowledge workers. Business users wait months for data sets or reports. The hidden costs of data operations are immense.
Read this guide to learn how DataOps can streamline the process of building, changing, and managing data pipelines.
Get the Report
