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Illustrated cover: Regular vs Temp Table

SQL SERVER – Regular Table or Temp Table – A Quick Performance Comparison

September 19, 2019
Pinal Dave
SQL Performance
ETL, SQL Scripts, SQL Server, Temp Table

For a data load, which is faster: a regular table or temp table? My client asked, and I answered with proof and a working demo you can run yourself.

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Gouache painting of a zipped hiking backpack with a red zipper pull on a trail bench beside folded shirts

Zip Files in SSIS With a Script Task and ZipFile

June 30, 2016
Pinal Dave
SQL Tips and Tricks
ETL, Notes from the Field, SQL Utility, SSIS

To zip files in SSIS you don’t need a third-party tool. This guest post by Kevin Hazzard shows how a Script Task and the .NET ZipFile class zip a whole folder in a few lines of C#, and which errors to expect.

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Red thread connecting notes pinned on a cork board, tracing data lineage

SQL SERVER – Data Lineage Tracking in ETL Processes – Notes from the Field #124

May 12, 2016
Pinal Dave
SQL Tips and Tricks
ETL, Notes from the Field, SQL Server, SSIS

Tim Mitchell answers the question every ETL developer hears, ‘Where did this data come from?’, and shows how to add data lineage tracking to ETL processes.

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Folded and partly opened corn-husk parcels keep rice and vegetables together inside their wrappers

BULK INSERT With FORMAT CSV and FIELDQUOTE for Quoted Files

February 18, 2015
Pinal Dave
SQL Tips and Tricks
CSV, ETL, File format

A comma inside a quoted name can break a CSV load without any error. Here is how FIELDQUOTE fixes it, and how to validate what arrives.

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Gouache painting of a carved red block beside a strip of cloth printed with a row of identical leaves

Why Use Biml to Build SSIS Packages Faster

October 23, 2014
Pinal Dave
SQL Tips and Tricks
BIML, ETL, Notes from the Field, SSIS

Why use Biml when SSIS already has a designer? This guest post by Reeves Smith shows how one XML file and a single variable can generate many near-identical SSIS packages, and when the extra effort pays off.

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Gouache painting of a stone water mill with its wheel turning in a steadily flowing stream, and beside it a row of wooden barrels waiting for a cart, one barrel painted vermilion.

Batch vs Stream Processing: When Data Cannot Wait

October 29, 2013
Pinal Dave
SQL Tips and Tricks
Batch, Cloud Computing, Data Warehousing, ETL, Parallel

Batch vs Stream Processing is a choice about how long an answer can wait. This post compares an hourly batch job with a 5-minute stream window on the same six orders, covers the cost of real time and shows how to choose.

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Gouache painting of a small reservoir fed three ways: a steady stream from a hillside, a slow pipe on the left, and a wooden cart of barrels with vermilion wheels waiting at the edge.

Data Ingestion: Batch Loads, Change Data Capture and Streams

October 23, 2013
Pinal Dave
SQL Tips and Tricks
Batch, Change Data Capture, Data Warehousing, ETL, Transaction Log

Data Ingestion is how data moves from the systems that create it into the platform that analyzes it. This post compares batch loads, change data capture and event streams, and shows the captured rows from a small SQL Server table.

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