
Download three data sets from the reserved section, create a free Google Cloud Platform account, and download Talend Open Studio for Big Data version 7.
Explore data warehouses and the star schema with fact and dimension tables, while examining primary and foreign keys in columnar stores for faster queries and better compression.
Navigate to the BigQuery page, create a dataset, and build tables with the JCP web UI to load data from Google Cloud Storage and adjust data types.
Execute a Talend Open Studio ETL job version 7, validate the run in BigQuery, confirm exit code 0, refresh project history, and overwrite the target table when needed.
Build a Talend ETL job from scratch, wiring file input delimited, tConvert, and file output delimited, then load the results into a BigQuery table.
Explore BigQuery data exploration by mining a 2011 Medicare dataset of inpatient charges, counting DRG groups, and identifying top DRGs via group by and count.
Learn to ingest data with Talend Open Studio for Big Data, load into BigQuery, and visualize results in Google Data Studio, while mastering dashboard design, SQL validation, and BI workflow.
As an added bonus to take us beyond SQL reporting, let's see the power of visualization with Google Data Studio. Since this course utilized GCP BigQuery, Google Data Studio has been chosen over many other visualization tools (QuickSight, Tableau, Qlik) etc to name a few.
This course will guide you step-by-step to ingest a local file, convert data types and load to GCP's (Google Cloud Platform) BigQuery using Talend Open Studio for Big Data, and immediately access and analyze the BigQuery table using SQL statements. We will also visualize the data results using Google Data Studio. This course is designed to piece together all the components, not focus on a particular software product. We will look at configuration areas that can be time consuming to troubleshoot. The focus and emphasis is on the entire workflow success and encourage the student to move on to more sophisticated approaches.