please answer these 2 questions! thank you so much :)))

a) The typical Data Science workflow consists of several steps. Number the following activities in order of a typical data science workflow by numbering them from 1 to 6 (start - end). [3 points] D Data Storage D Modelling and Predictive Data Analysis D Data Acquisition D Data Cleaning and Transformation D Explorative Data Analysis D Visualization and Result Dissemination d) When is a data analytics problem considered to become a "Big Data" problem? [2 points] O A data set is considered "Big Data" when it does not fit into the main memory of a computer anymore. If a data analysis requires to combine large data sets with a variety of different data models (some structured, some unstructured), it is considered a "Big Data" problem. O If the volume of the analysed data set becomes so large that it requires processing on multiple processing nodes, it is considered "Big Data". It is considered a "Big Data" problem if the analysis of a data set can violate the privacy of individuals. If a data set is owned by a big international company, it is considered a "Big Data