Enterprises rely on data analytics to make informed decisions. But the analytical insights are only as good as the input data. Enterprise data invariably grows organically in diverse repositories and often in silos. The first step in any analytics project is invariably data migration to make sure the analytics engine has access to the right data at the right place. Data migration also becomes inevitable during digital transformation when enterprises upgrade from legacy systems or consolidate multiple data sources. This ebook offers a detailed guide on how to prepare and execute effective data migration for analytics.