Data Integration: Big data comes from various sources and integrating it all can be a challenge. Data integration involves combining data from different sources and making it available for analysis.

Data Integration

Question 6Which one of these statements explains what data integration is?1 pointData Integration is the process of applying business logic to source dataData Integration includes extracting, transforming, merging, and delivering quality data for analytical purposesData Integration is the process of extracting dataData Integration is the process of loading data into a data repositoryCoursera Hono

2.Question 2What is a data integration platform's primary role in analytics and data science, as explained in the text?1 pointTo create and maintain data warehouses.To extract, transform, and combine data from various sources for analytics.To design data pipelines for data movement.To perform data mining for generating insights.

Big data involves data collection, processing, and analytics, specifically data that is too complicated or too large for standard analytics software.From the Azure big data solutions on the left, drag a solution to the correct description on the right. (You can use a big data solution more than once.)Each answer may be used once, more than once, or not at all.DragAzure Synapse AnalyticsHDInsightAzure DatabricksDropUseful when focusing on data collaboration and transformation. A big data solution that combines data warehousing and analytics. Useful when you need an open-source analytics solution that supports a variety of frameworks. Can be used to quickly gather, analyze, and draw insights from all of your data warehouses. click_to_drop HDInsight hereI want to review this question later. (Optional)

What is the process of integrating data from multiple sources called?Select one:a.Data integrationb.Data analysisc.Data visualizationd.Data mining