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In-Database Blending for Big Data Preparation with Alteryx and Microsoft Azure SQL DW

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Analysts have to prepare and analyze data quickly to answer important business questions. Learn how to utilize the processing power of the data warehouse to perform big and scalable data preparation in less time.

Download the full Whitepaper at: http://pages.alteryx.com/Microsoft-Azure-InDB-WP.html?lsm=Web%20Direct&utm_term=slideshare&utm_campaign=AMS-FY17-Q1-WS-WP-Microsoft

Published in: Data & Analytics

In-Database Blending for Big Data Preparation with Alteryx and Microsoft Azure SQL DW

  1. 1. In-Database Blending for Big Data Preparation Using Alteryx with Microsoft Azure SQL Data Warehouse
  2. 2. Download a FREE trial: alteryx.com/trial In-Database Blending for Big Data Preparation It’s clear why organizations are using Microsoft Azure SQL Data Warehouse as their cloud solution: Processing Power Made Simple, Scalable and Secure It’s Simple Deploy a petabyte- scale data warehouse within seconds It’s Powerful Leverage best in-class, massively parallel processing ability It’s Scalable Perform independent scaling of compute and storage in seconds It’s Secure Harness industry- leading, built-in security
  3. 3. Download a FREE trial: alteryx.com/trial In-Database Blending for Big Data Preparation Alteryx can stream data from outside sources—including structured data from cloud sources, such as Salesforce.com; on-premise databases, such as SAP; or desktop files, such as spreadsheets—into Microsoft Azure SQL Data Warehouse for in-database preparation and blending of the data. This helps analysts: • Gain even more context around key business challenges • Access the most up-to-date information • Take advantage of Azure SQL Data Warehouse processing power to perform data blending and get fast results Blending External Data
  4. 4. Learn how Alteryx and Microsoft Azure SQL Data Warehouse work together to blend and prepare big datasets, faster Download a FREE trial: alteryx.com/trial In-Database Blending for Big Data Preparation To Cut Excess Data via the Alteryx Workflow: Use the Select tool to remove columns or rows of unnecessary data from the clickstream dataset. The original data is unaffected, and the new joined dataset is now much more agile and focused. Using the same drag-and-drop interface plus Microsoft Azure SQL Data Warehouse processing power, Alteryx can perform other data cleansing and shaping functions, such as: • Removing null values or calculating values • Reordering or renaming columns This makes the data easier to analyze and convey to other analytic processes. Select In-DB Tool How It Works: Shaping Data Without Moving It Download a FREE trial: alteryx.com/trial In-Database Blending for Big Data Preparation Alteryx offers a wide range of data prep, blending, and analysis tools to create the analytic datasets needed for solving specific business challenges. This includes 12 in-database tools to make the most of data residing in Microsoft Azure SQL Data Warehouse. Key in-database tools include: In-Database Tools = Maximum Convenience Connect In-DB Tool: Connect to Azure SQL Data Warehouse or other databases, such as SQL Server Select In-DB Tool: Eliminate unnecessary fields or rename key fields Data Stream In Tool: Stream data into Azure SQL Data Warehouse from a variety of external sources Join In-DB Tool: Combine data streams based on common fields Data Stream Out Tool: Feed downstream analytic processes
  5. 5. Download a FREE trial: alteryx.com/trial In-Database Blending for Big Data Preparation Example: Here, a sales analyst pre- filters data, integrates CRM data, and uses predictive score modeling to determine geographic impact on high-volume product purchases. A direct connection is made to Microsoft Azure SQL Data Warehouse using the Connect In-DB Tool. Purchase history (5,000 SKUs) is then filtered in Azure SQL Data Warehouse with the Filter In-DB tool. CRM data is streamed into Azure SQL Data Warehouse with the Data Stream In tool, then joined with SKU data using the Join In-DB tool. The new dataset is returned to desktop using the Data Stream Out tool. Location and predictive score modeling is done in-memory with Alteryx. Download a FREE trial: alteryx.com/trial In-Database Blending for Big Data Preparation Example: A sales analyst needs to filter transactions from billions of store transaction records and retain them in Microsoft Azure SQL Data Warehouse as the approved and blended data source for the organization. Direct connection to Azure SQL Data Warehouse is made with the Connect In-DB tool to access more than 10 billion lines of store transaction data. Filter In-DB and Formula In-DB tools are used to remove outliers and noisy data Summarize In-DB counts the number of records. The clean data is retained in Azure SQL Data Warehouse using the Write In-DB tool, ready for advanced analytics or visualization. And see example workflows for blending and preparing datasets in Microsoft Azure SQL Data Warehouse with Alteryx
  6. 6. Download a FREE trial: alteryx.com/trial In-Database Blending for Big Data Preparation Want to get the full whitepaper? In-Database Blending for Big Data Preparation Download Now You may also be interested in: Download a 14-Day FREE Trial of Alteryx www.alteryx.com/trial » See how Azure SQL Data Warehouse and Alteryx work together Microsoft/Alteryx partner page »
  7. 7. Download a FREE trial: alteryx.com/trial In-Database Blending for Big Data Preparation Thousands of data analysts worldwide rely on Alteryx daily. alteryx.com/microsoft In-Database Blending for Big Data Preparation

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