Introduction to Data IntegrationProminent features of Data IntegrationLoosely coupled IntegrationEase of useSecure accessHigh-quality dataLineage trackingPractical Data Integration scenariosThe workings of Data IntegrationRaw data discoveryData quality assessmentProfiling the dataData cleansingDeletion of missing, null, or invalid valuesImputation of missing, null, or invalid valuesData transformationsUnstructured text transformation techniquesStructured data transformationsData enrichmentCollect metadata and track data lineageTraditional Data Integration versus Data LakeData pipelinesAddressing the limitations using Data LakeData partitioningAddressing the limitations using Data LakeScale on demandAddressing the limitations using Data LakeData ingest parallelismAddressing the limitations using Data LakeExtensibilityAddressing the limitations using Data Lake