But with the powerful JSON features built into PostgreSQL, the need for an external document store is no longer necessary.ĭocument stores are enticing because it enables you to "store data now, figure out schema later." You were always able to store arbitrary data structures as plain text in databases like PostgreSQL and MySQL. In the past, data analysts and engineers had to revert to a specialized document store like MongoDB for JSON processing. One of the unusual features of the PostgreSQL database is the ability to store and process JSON documents. Querying JSON (JSONB) data types in PostgreSQL.Using AWS Athena to understand your AWS billsĬanada Province & Census Division Shapefiles Modeling: Denormalized Dimension Tables with Materialized Views for Business Users Gap analysis to find missing values in a sequenceĮstimating Demand Curves and Profit-Maximizing Pricing Querying JSON (JSONB) data types in PostgreSQL Using SQL to analyze Bitcoin, Ethereum & Cryptocurrency Performance Multichannel Marketing Attribution ModelingĪnalyzing Net Promoter Score (NPS) surveys in SQL to improve customer satisfaction & loyalty SQL's NULL values: comparing, sorting, converting and joining with real values SQL Server: Date truncation for custom time periods like year, quarter, month, etc.įilling Missing Data & Plugging Gaps by Generating a Continuous Seriesįinding Patterns & Matching Substrings using Regular ExpressionsĬoncatenating Rows of String Values for Aggregation Redshift: Generate a sequential range of numbers for time series analysis MySQL: Generate a sequential range of numbers for time series analysis Understanding how Joins work – examples with Javascript implementation First steps with Silota dashboarding and chartingĬalculating Exponential Moving Average with Recursive CTEsĬalculating Difference from Beginning RowĬreating Pareto Charts to visualize the 80/20 principleĬalculating Summaries with Histogram Frequency DistributionsĬalculating Relationships with Correlation MatricesĪnalyzing Recency, Frequency and Monetary value to index your best customersĪnalyze Mailchimp Data by Segmenting and Lead scoring your email listĬalculating Top N items and Aggregating (sum) the remainder into "All other"Ĭalculating Linear Regression Coefficientsįorecasting in presence of Seasonal effects using the Ratio to Moving Average method
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