zuloofair.blogg.se - Postgres regex search

#POSTGRES REGEX SEARCH SERIES#
#POSTGRES REGEX SEARCH FREE#

#POSTGRES REGEX SEARCH FREE#

Which gives us: next need a database of services that hand out free and disposable email addresses. If your database table named "emails" contains email addresses like these: the split_part function will split the email address to its respective parts: select email, We'll make an assumption that the character splits the email address to a name and domain name. Pattern Matching Business and Consumer Email AddressesĪ common analysis task is to count the number of emails in your database that are of commercial value, i.e., not using disposable email addresses or free providers like gmail or hotmail. We'll consider two examples that use regular expressions to pattern match.ġ.

Finding Patterns & Matching Substrings using Regular ExpressionsĪlthough there are multiple ways to do pattern matching in SQL, we will look at the most powerful and flexible of them all – regular expressions.įortunately, PostgreSQL and Redshift support POSIX regular expressions out of the box.

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

#POSTGRES REGEX SEARCH SERIES#

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