![]() ![]() 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 The following sample illustrates the above JSON rules.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 ![]() Use the supported JSON data types: strings, numbers, JSON objects, booleans, and null. Separate key-value pairs with a comma ( ,). Separate the key from the value using a colon ( :). When inserting data to a PostgreSQL JSON column, you must:Įnclose the JSON keys in double quotes ( ""). Proceed to the next step and populate the table. Your sample database and table are now in place. This guide later shows you how to use the two columns to store the customers' profiles and addresses using the JSON format. Define the profile and address columns using the JSON data type. Use the SERIAL keyword to instruct PostgreSQL to automatically assign a new customer_id for each customer during the INSERT statement. Assign a unique identifier to the customers using the customer_id PRIMARY KEY. You are now connected to database "online_shop" as user "postgres".Ĭreate a new customers table with five columns. postgres=# CREATE DATABASE online_shop Ĭonnect to the new online_shop database. Then, create a sample online_shop database. $ sudo -u postgres psqlĮnter the postgres user password and press ENTER to proceed. Log in to the PostgreSQL server as a postgres user. Execute the steps below to initialize the database: Then, create a sample table that implements the JSON data type in a few columns. The first step in this guide is setting up a database. Install the PostgreSQL database server and configure a super-user password. This guide takes you through implementing the JSON data type with the PostgreSQL database on Ubuntu 20.04 server. The PostgreSQL database server supports the JSON data type to store semi-structured data.ĭepending on the complexity of your application, you can choose from dozens of PostgreSQL inbuilt functions and operators to manipulate JSON data. JSON relies on key-value pairs that make it suitable for humans and machines to read and write. JavaScript Object Notation (JSON) is a modern data exchange format often used in API-based services.
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