Data Warehouse Record Create Date and Reference File Download Link
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2026-05-30 03:45:08 - Admin
<style> body{ font-family: Arial, Helvetica, sans-serif; line-height:1.6; margin:0; padding:0; background:#f9f9f9; color:#333; } header{ background:#4A90E2; color:#fff; padding:20px 10%; text-align:center; } main{ max-width:800px; margin:20px auto; padding:0 15px; } h1, h2, h3{ color:#2c3e50; } pre{ background:#eee; padding:10px; overflow:auto; } table{ width:100%; border-collapse:collapse; margin:15px 0; } th, td{ border:1px solid #ddd; padding:8px; text-align:left; } th{ background:#f2f2f2; } a{ color:#4A90E2; } </style><header> <h1>Understanding the Record Create Date in a Data Warehouse</h1></header><main> <section> <h2>What Is a Record Create Date?</h2> <p>The <strong>Record Create Date</strong> (sometimes called <em>creation timestamp</em> or <em>load date</em>) is a field that captures the exact moment a row is first inserted into a data warehouse table. It is a cornerstone of data governance, auditability and temporal analysis.</p> </section> <section> <h2>Why It Matters</h2> <ul> <li><strong>Data Lineage:</strong> Knowing when a record entered the warehouse helps trace the flow of information from source systems to downstream reports.</li> <li><strong>Auditing & Compliance:</strong> Regulations such as GDPR or SOX often require proof of when data was ingested.</li> <li><strong>Change Management:</strong> Distinguishing newlyadded rows from updates relies on a reliable create date.</li> <li><strong>TimeTravel Queries:</strong> Analysts can reconstruct the state of a dataset at any point in history.</li> </ul> </section> <section> <h2>Typical Implementation Patterns</h2> <h3>1. DatabaseGenerated Timestamp</h3> <p>Most relational engines provide a default value that automatically populates a column with the current timestamp.</p> <pre><code>CREATE TABLE sales_fact ( sales_id BIGINT PRIMARY KEY, amount DECIMAL(12,2), transaction_dt DATE, create_dt TIMESTAMP DEFAULT CURRENT_TIMESTAMP);</code></pre> <h3>2. ETL/ELT Script Assignment</h3> <p>When data is loaded via an ETL tool (Informatica, Talend, DataStage) or an ELT process (SQL scripts, dbt), the pipeline explicitly sets the field.</p> <pre><code>INSERT INTO sales_fact (sales_id, amount, transaction_dt, create_dt)SELECT src.id, src.amount, src.trans_date, CURRENT_TIMESTAMPFROM src_sales src;</code></pre> <h3>3. Incremental Load Markers</h3> <p>For CDC or logbased ingestion, the create date may be derived from the source systems <code>SYS_CHANGE_VERSION</code> or similar marker, preserving the original ingestion moment.</p> </section> <section> <h2>Best Practices</h2> <ol> <li><strong>Use UTC.</strong> Store timestamps in Coordinated Universal Time to avoid issues with daylightsaving changes and to simplify crossregion reporting.</li> <li><strong>Make the column immutable.</strong> Disallow updates to the create date after the row is written. This protects audit integrity.</li> <li><strong>Index wisely.</strong> If you frequently filter on <code>create_dt</code>, consider a nonclustered index or partition the table by date.</li> <li><strong>Document the source.</strong> Include a comment in the table definition describing the purpose and format of the column.</li> <li><strong>Synchronize with source system timestamps.</strong> When possible, capture the sources creation time and store it in a separate column for full provenance.</li> </ol> </section> <section> <h2>Common Pitfalls</h2> <table> <thead> <tr><th>Issue</th><th>Impact</th><th>Mitigation</th></tr> </thead> <tbody> <tr> <td>Using local server time</td> <td>Inconsistent results across regions</td> <td>Set the database timezone to UTC and use <code>CURRENT_TIMESTAMP AT TIME ZONE 'UTC'</code></td> </tr> <tr> <td>Allowing updates to the column</td> <td>Loss of audit trail</td> <td>Apply <code>READ ONLY</code> constraint or omit the column from UPDATE statements</td> </tr> <tr> <td>Not handling latearriving data</td> <td>Incorrect "firstseen" dates</td> <td>Store both <em>source create date</em> and <em>warehouse load date</em></td> </tr> <tr> <td>Missing indexes on highvolume tables</td> <td>Slow queries that filter by date range</td> <td>Create a partitioned table or composite index (e.g., <code>(create_dt, sales_id)</code>)</td> </tr> </tbody> </table> </section> <section> <h2>Use Cases in Reporting</h2> <p>Below are typical scenarios where the Record Create Date drives business insight.</p> <ul> <li><strong>Data latency monitoring:</strong> Measure the gap between <code>transaction_dt</code> and <code>create_dt</code> to assess ETL performance.</li> <li><strong>Historical trend analysis:</strong> Build asof snapshots by selecting rows where <code>create_dt</code> desired date.</li> <li><strong>Data quality audits:</strong> Identify records that were loaded unusually late, which may indicate source glitches.</li> <li><strong>Regulatory reporting:</strong> Provide regulators with the exact timestamp when data entered the warehouse.</li> </ul> </section> <section> <h2>Sample Query Patterns</h2> <h3>Rows added in the last 7 days</h3> <pre><code>SELECT *FROM sales_factWHERE create_dt >= CURRENT_DATE - INTERVAL '7 days';</code></pre> <h3>Timetravel view for a specific date</h3> <pre><code>CREATE VIEW sales_as_of_2023_12_31 ASSELECT *FROM sales_factWHERE create_dt <= TIMESTAMP '2023-12-31 23:59:59';</code></pre> <h3>Latency calculation</h3> <pre><code>SELECT AVG(EXTRACT(EPOCH FROM (create_dt - transaction_dt))) / 60 AS avg_minutes_latencyFROM sales_fact;</code></pre> </section> <section> <h2>Conclusion</h2> <p>The Record Create Date is more than just a technical detail; it is a fundamental piece of metadata that underpins governance, performance monitoring and analytical flexibility in a data warehouse. By storing it in UTC, protecting it from modification, and indexing it appropriately, organizations ensure that every piece of data can be traced, audited, and analyzed accurately over time.</p> <p>Implementing a robust createdate strategy early in a warehouse design saves effort later, especially when regulatory requirements tighten or when business users demand precise historical views.</p> </section> <section> <h2>Further Reading</h2> <ul> <li><a href="https://www.datavaultacademy.com/blog/temporal-data-modeling">Temporal Data Modeling Data Vault Academy</a></li> <li><a href="https://docs.microsoft.com/sql/t-sql/functions/current-timestamp-transact-sql">CURRENT_TIMESTAMP Microsoft Docs</a></li> <li><a href="https://www.red-gate.com/simple-talk/sql/t-sql-programming/working-with-date-and-time-data-in-sql-server/">Working with Date and Time in SQL Server Redgate</a></li> </ul> </section></main>