Tableau redshift connection

Tableau redshift connection DEFAULT

Publish and Share Redshift Data Dashboards with Tableau Server

Integrate connectivity to Redshift data into your enterprise reporting capabilities. The CData ODBC Driver for Redshift enables you to access live Redshift data in business intelligence tools like Tableau Server. Connectivity to Redshift APIs enables you to monitor changes to your data in real time. Other members of your organization can access your dashboards from a Web browser and get updates from their mobile phone.

This article walks through the process of configuring a DSN on the client and server machines, publishing a data source for Redshift to Tableau Server, and publishing an entire Workbook to Tableau Server (including the data source). If you publish a data source, you will be able to create new, refreshable workbooks in Tableau Server.

Connect to Redshift as an ODBC Data Source

To create a data source or workbook in Tableau Desktop and publish the data source or workbook to Tableau server, you will need to configure a DSN on each machine (Desktop and Server), specifying connection properties and creating DSNs using the same name on each machine. Information for connecting to Redshift follows, along with different instructions for configuring a DSN in Windows and Linux environments.

To connect to Redshift, set the following:

  • Server: Set this to the host name or IP address of the cluster hosting the Database you want to connect to.
  • Port: Set this to the port of the cluster.
  • Database: Set this to the name of the database. Or, leave this blank to use the default database of the authenticated user.
  • User: Set this to the username you want to use to authenticate to the Server.
  • Password: Set this to the password you want to use to authenticate to the Server.

You can obtain the Server and Port values in the AWS Management Console:

  1. Open the Amazon Redshift console (http://console.aws.amazon.com/redshift).
  2. On the Clusters page, click the name of the cluster.
  3. On the Configuration tab for the cluster, copy the cluster URL from the connection strings displayed.

When you configure the DSN, you may also want to set the Max Rows connection property. This will limit the number of rows returned, which is especially helpful for improving performance when designing reports and visualizations.

Windows

If you are installing the CData ODBC Driver for Redshift on Windows, DSN configuration is the last step of the driver installation. If you already have the driver installed, or you wish to configure new DSNs, you can use the Microsoft ODBC Data Source Administrator.

Linux

If you are installing the CData ODBC Driver for Redshift in a Linux environment, the driver installation predefines a system DSN. You can modify the DSN by editing the system data sources file (/etc/odbc.ini) and defining the required connection properties.

/etc/odbc.ini

For specific information on using these configuration files, please refer to the help documentation (installed and found online).

Publish the Redshift Data Source to Tableau Server

With the connections to Redshift data configured, you are ready to publish a Redshift data source on Tableau, ready to be leveraged by users in your organization to create workbooks based on Redshift data.

Create and Publish a Data Source

  1. In the Connect pane, click More -> Other Databases (ODBC). Select CData Redshift Sys, the system DSN.

    The driver installation automatically creates matching user and system DSNs: The system DSN is needed to connect from Tableau Server.

  2. In the Database menu, select CData.
  3. In the Table box, enter a table name or click New Custom SQL to enter an SQL query.
  4. Drag the table onto the join area.
  5. From the Server menu, click Publish Data Source -> (YOUR DATA SOURCE).
  6. Enter the URL to the server. For most instances, you will authenticate with the Tableau Server username and password. Other authentication scenarios can be found below:
    • If Tableau is configured to use Kerberos and your computer has valid Active Directory credentials, Tableau connects to the server.
    • If Tableau is configured to use SAML, a login prompt for your external identity provider is displayed.
    • If Tableau is configured to use Active Directory, enter your Windows username and password.
  7. In the resulting dialog, set the Project, Data Source, and other properties. If you want to schedule refreshes, select Embedded Password in the Authentication menu. Click Publish.

You and other users in your organization can now create and share workbooks based on the published data source.

Refresh Workbooks

With a system DSN configured on the client (Tableau Desktop) machine and server (Tableau Server) machine, you can refresh workbooks connected to the Redshift data source. From the Web interface for Tableau Sever, click Data -> (YOUR DATA SOURCE) -> Refresh.

Publish a Completed Workbook with Redshift Data to Tableau Server

If you have a specific Workbook that you wish to share with your organization, you can create the Workbook on Tableau Desktop and publish the Workbook directly to Tableau Server.

  1. To connect to Redshift and select data, follow steps 1-5 above.
  2. Click Server -> Sign in and configure the connection to the server. For most instances, you will authenticate with the Tableau Server username and password. Other authentication scenarios can be found below:
    • If Tableau is configured to use Kerberos and your computer has valid Active Directory credentials, Tableau connects to the server.
    • If Tableau is configured to use SAML, a login prompt for your external identity provider is displayed.
    • If Tableau is configured to use Active Directory, enter your Windows username and password.
  3. With the data selected, select dimensions and measures to visualize and select a type of chart or graph to build your visualization(s).
  4. Once the Workbook is complete, click Server -> Publish Workbook to publish the Workbook to Tableau Server.
  5. In the resulting dialog, set the Project, Name, Description and other properties. If you want to schedule refreshes, click Edit under Data Sources and change the Authentication option to Embedded Password. Click Publish.

You and other users in your organization can now review the published workbook from Tableau Server.

Sours: https://www.cdata.com/kb/tech/redshift-odbc-tableau-server.rst

Publish Redshift-Connected Dashboards in Tableau Server

Tableau Server is a visual analytics platform transforming the way businesses use data to solve problems. When paired with the CData Tableau Connector for Redshift, you get access to live Redshift data within Tableau Server. This article shows how to connect to Redshift in Tableau Desktop, publish a Data Source to Tableau Server, and build a simple chart from that data.

The CData Tableau Connectors enable high-speed access to live Redshift data in Tableau Server. Once you install the connector, you simply authenticate with Redshift and you can immediately start building responsive, dynamic visualizations and dashboards. By surfacing Redshift data using native Tableau data types and handling complex filters, aggregations, & other operations automatically, CData Tableau Connectors grant seamless access to Redshift data.

NOTE: The CData Tableau Connectors require Tableau 2020.3 or higher. If you are using an older version of Tableau, you will need to use the CData JDBC Driver for Redshift. If you wish to connect to Redshift data in Tableau Online, you will need to use CData Connect Cloud.

Enable Connectivity to Redshift in Tableau Server

Start by installing the CData Tableau Connector on the machine hosting Tableau Server.

If your server is a Linux Machine:

  1. Create a directory for the connector files. For example: /opt/tableau/tableau_driver/connectors
  2. Update your Tableau configuration with the location of the directory:
  3. Copy cdata.redshift.taco and cdata.tableau.redshift.lic from the connector installation directory.
  4. Place the copies in the directory created above.
  5. Restart Tableau Server.

If your server is a Windows Machine:

  1. Create a directory for the connector files. For example: C:\Program Files\Tableau\Connectors
  2. Update your Tableau configuration with the location of the directory:
  3. Copy cdata.redshift.taco and cdata.tableau.redshift.lic from the connector installation directory.
  4. Place the copies in the directory created above.
  5. Restart Tableau Server.

Next, install the CData Tableau Connector on the machine running Tableau Desktop. The connector will be installed to the correct location automatically.

Connect to Redshift in Tableau Desktop

Once the connectors are installed on the Server machine, we can configure a connection to Redshift in Tableau Desktop and publish a Redshift-based Data Source to Tableau Server.

  1. Open Tableau Desktop.
  2. Click More under Connect -> To a Server.
  3. Select "Redshift by CData".
  4. Configure the connection to the data.

    To connect to Redshift, set the following:

    • Server: Set this to the host name or IP address of the cluster hosting the Database you want to connect to.
    • Port: Set this to the port of the cluster.
    • Database: Set this to the name of the database. Or, leave this blank to use the default database of the authenticated user.
    • User: Set this to the username you want to use to authenticate to the Server.
    • Password: Set this to the password you want to use to authenticate to the Server.

    You can obtain the Server and Port values in the AWS Management Console:

    1. Open the Amazon Redshift console (http://console.aws.amazon.com/redshift).
    2. On the Clusters page, click the name of the cluster.
    3. On the Configuration tab for the cluster, copy the cluster URL from the connection strings displayed.
  5. Click "Sign In".

Discover Schemas and Query Data

Once you establish the connection to Redshift data, you can configure which entities to visualize.

  1. Select CData from the Database pull-down menu.
  2. Select Redshift from the Schema pull-down menu.
  3. Drag the tables and views you wish to visualize onto the join area. You can include multiple tables.
  4. Select Update Now or Automatically Update. Update Now lets you preview the first 10,000 rows of the data source (or enter the number of rows you want to see in the Rows text box). Automatically Update auto-loads the changes in the preview area.

Publish Data to Tableau Server

After you configure the data you wish to visualize, you can publish the Data Source to a Tableau Server instance. In Tableau Desktop:

  1. Click Server -> Sign In.
  2. Enter the URL for your Tableau Server.
  3. Authenticate with Tableau Server credentials.
  4. Click Server -> Publish Data Source and select your data source.
  5. Click Publish.
  6. Select the Project, name the Data Source, and optionally add a description.
  7. Click Publish.

This creates a new entry under the server's data source list, from which you an change the data source's permissions, view its history, and perform other management tasks.

Note that workstation connected to the same server will be able to use the same source in Tableau Desktop, even if the connector isn't installed there. Also, workbooks created directly on Tableau Server (via the web interface) can use this source.

Visualize Redshift Data in Tableau Server

With the Data Source published to Tableau Server, you are ready to visualize Redshift data.

  1. Login to your Tableau Server instance.
  2. Connect to the remote source using the Search for Data -> Tableau Server in the Connect sidebar.
  3. Click the published Data Source.
  4. Click New Workbook.
  5. In the workbook, Redshift fields are listed as Dimensions and Measures, depending on the data type. The CData Tableau Connector discovers data types automatically, allowing you to leverage the powerful data processing and visualization features of Tableau.
  6. Drag a field from the Dimensions or Measures area to Rows or Columns. Tableau creates column or row headers.
  7. Select one of the chart types from the Show Me tab. Tableau displays the chart type that you selected.

Using the CData Tableau Connector for Redshift with Tableau Server, you can easily create robust visualizations and reports on Redshift data. Download a free, 30-day trial and get started today.

Sours: https://www.cdata.com/kb/tech/redshift-tableau-server.rst
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How to Connect Tableau to Redshift

Tableau is a leading data visualization tool and one supported by Openbridge. Tableau focuses on interactive visualizations and has native connectors to some of the data sources you need to analyze the data from. It’s even better if all of your data is stored in one place, and you don’t have to work hard on joining the data from multiple sources in Tableau as it is not built for data cleaning and wrangling.

Amazon Redshift is a leading cloud data warehouse solution. Combined Tableau and Redshift make a powerful pairing for analytic workloads.

How to connect Tableau to Amazon Redshift

In this article, we will guide you through the process of connecting Tableau to your Redshift data warehouse and building your first visualization.

Step 1: Select connect option

Open Tableau and select Amazon Redshift” from the Connect options in the left-hand toolbar:

Step 2: Enter credentials

Enter the server address, database, username, and password provided by Openbridge into the Amazon Redshift Connection pop-up.

Once you enter and click “OK”, assuming your credentials are correct, you will be connected. Time to create your first visual!

Step 3: Select a schema

Since we are using Openbridge data our first step is to select the ‘openbridge’ schema. This will list a collection of tables in Redshift under that schema. You simply drag the desired table(s) to the right. In this case, we are using DoubleClick data:

Select the ‘openbridge’ schema

Step 4: Create a new worksheet

Click on a new worksheet. You will see the tables fields listed as either Dimensions or Metrics

Create a worksheet

Step 5: Configure rows

  1. Drag ‘Date’ field from Dimensions section onto the row shelf

Add “Date” dimension to row

2. Click the drop-down on the right of the Date field, select ‘More’ and then ‘Custom’

Customize date

3. Choose ‘Month/Day/Year’ format

Choose the desired format

4. Drag the ‘Clicks’ field from Metrics onto the Text mark

Add “Clicks” to columns

Step 6: Create a chart

Select the Line Chart from the ‘Show Me’ dropdown

Voila! Your first visual in Tableau with the data from Redshift is ready!

Enjoy the view!

Want to see how to use Tableau and Redshift with social data? Check out how we did we paired Tableau and Redshift with Instagram data: Instagram How To: Powerful Data Analytics Tips

If you have multiple data sources you need to analyze data from, data pipeline solutions like Openbridge can help you. You can stream all the data from social media, CRM, point-of-sale, marketing, advertising platforms, and more to the data warehouses like Amazon Redshift and have it ready for analysis in Tableau.

Sours: https://docs.openbridge.com/en/articles/1317886-how-to-connect-tableau-to-redshift

A data warehouse such as Amazon Redshift, Google BigQuery, or Snowflake, is used to consolidate data from multiple sources in a single location. Data can then be analysed using a BI tool such as Tableau. Tableau and many other BI tools discover patterns and help visualize data to make it more understandable and boost the analysis process. These help in gaining a better picture of the metrics, trends, the user needs, performance, and hence play a key role in various data-driven decisions.

This article aims at answering all your queries about connecting Redshift to Tableau. Follow our easy step-by-step guide to master the skill of connecting Redshift to Tableau using various methods.

Table Of Contents

Introduction to Redshift

Redshift Logo.

Amazon Redshift is a fully-managed petabyte-scale cloud-based data warehouse, designed to store large scale data sets and perform insightful analysis on them in real-time.

It is highly column-oriented & designed to connect with SQL-based clients and business intelligence tools, making data available to users in real-time. Supporting PostgreSQL 8, Redshift delivers exceptional performance and efficient querying. Each Amazon Redshift data warehouse contains a collection of computing resources (nodes) organized in a cluster, each having an engine of its own and a database to it.

For further information on Amazon Redshift, you can check the official site here.

Introduction to Tableau

Tableau Logo.

Tableau is a powerful business intelligence tool used to turn raw data into an understandable format. It is a tool popularly used to visualize data and can be understood even by a non-technical user. 

It creates visualizations with the help of dashboards and worksheets, helping users perform real-time analysis in a very fast and secure manner. It doesn’t require a user to have any programming skill or technical background to operate it.

For further information on Tableau, you can check the official site here.

Hevo Data, a No-code Data Pipeline helps to transfer data from multiple sources to Redshift and visualize it in Tableau. Hevo is fully-managed and completely automates the process of not only exporting data from your desired source but also enriching the data and transforming it into an analysis-ready form without having to write a single line of code. Its fault-tolerant architecture ensures that the data is handled in a secure, consistent manner with zero data loss.

It provides a consistent & reliable solution to manage data in real-time and always have analysis-ready data in your desired destination. It allows you to focus on key business needs and perform insightful analysis using BI tools such as Tableau and many more. 

Check out some amazing features of Hevo:

  • Completely Managed Platform: Hevo is fully managed. You need not invest time and effort to maintain or monitor the infrastructure involved in executing codes.
  • Live Monitoring: Hevo allows you to monitor the data flow and check where your data is at a particular point in time.
  • Data Transformation: It provides a simple interface to perfect, modify, and enrich the data you want to export. 
  • Secure: Hevo has a fault-tolerant architecture that ensures that the data is handled in a secure, consistent manner with zero data loss.
  • Schema Management: Hevo takes away the tedious task of schema management & automatically detects schema of incoming data and maps it to the destination schema.
  • Minimal Learning: Hevo with its simple and interactive UI, is extremely simple for new customers to work on and perform operations.

Simplify your data analysis with Hevo today! Sign up here for a 14-day free trial!

Prerequisites

  • Working knowledge of Amazon Redshift.
  • Amazon Redshift account and clusters.
  • Working knowledge of Tableau.
  • Tableau installed at the host workstation.

Methods to Connect Redshift to Tableau

There are multiple ways in which you connect Redshift to Tableau:

Method 1: Using Tableau’s Redshift Connector

Redshift to Tableau.

Tableau’s in-built Redshift connector conveniently establishes a connection with redshift. You can easily set up a data source and use Tableau to visualize your data to perform a fruitful analysis for your business.

This method requires you to install the Redshift ODBC driver. The ODBC driver allows Tableau to interact with the data stored in your Redshift clusters and hence perform an analysis easily. You can download it from the official AWS site here.

This method can be implemented using the following steps:

Step 1: Configuring Tableau’s Redshift Connector

Launch Tableau on your workstation and select Amazon Redshift from the connect column on the left. This will open a dialogue box where you need to provide the connection details for redshift.

Tableau Dashboard.

To connect with Tableau, you need to provide the username and password for the desired database along with information about the server and port (5439 is the default port) which hosts your database.

Click on “ok” to establish a connection. This will enable a connection without SSL. To establish an SSL enabled connection, click the Require SSL checkbox before you sign in.

Redshift Connection Box.

If you want to run a specific SQL command every-time a new connection is established, you can use the Initial SQL option. This will open a dialogue box, where you can specify your desired SQL query.

Initial SQL Box.

For further information on Initial SQL command, you check the official site here.

Step 2: Configuring The Data Source

The data source page loads up after configuring the Tableau connector and successfully signing in. This is how the page looks like:

Tableau Workspace.

Select the data source name option and give a unique name to the database you are using. It’s considered a good practice to have a unique name as it makes it much easier for users to identify the database from which data is being fetched.

To select the desired schema, you can use the schema drop-down list from the column on the left. You can also perform a text-based search to find the desired option. Now similarly find and select the desired table and drag it onto the canvas.

Data Table in Tableau.

Click on the sheets tab to start analysing your data.

Step 3: Performing Analysis Using Tableau 

To visualize the data, click on the data option from the desktop menu bar and then select a table from the list of data sources (usually found at the bottom of the pop-up).

Analysing Data in Tableau.

Here we are selecting a table called clientid to visualize the data. Now from the menu bar, select dashboard and create a new dashboard. This will generate a simple bar graph for your data. 

Visualising data in Tableau.

This is a simple example of how you can visualize data using Tableau. There are many ways in which you can experiment with data using Tableau’s interactive UI and easily manage your business requirements.

This is how you can connect Redshift to Tableau and perform a fruitful analysis.

Some Limitations of This Method:

  • This method requires installing the Redshift ODBC driver beforehand.
  • Tableau doesn’t allow you to modify the default driver parameters, however, new or additional parameters can be appended.
  • Redshift is not a high-concurrency database. Performance can be affected by executing a large volume of queries at the same time.

Method 2: Using ODBC to Connect Redshift to Tableau

ODBC drivers can also be used to establish a connection between Redshift & Tableau. The ODBC driver can add a data source such as Redshift and then connect the Redshift instance with Tableau. 

This can be implemented using the following steps:

Step 1: Installing Redshift’s ODBC Driver

Download the latest version of ODBC driver for Redshift on your system from the official AWS site. You can use the following links to download the driver:

Step 2: Setting up DSN for Redshift

Once the ODBC driver is installed on your system, launch it to start the DSN set up process. Choose the correct 64 or 32-bit version and select the System DSN tab. 

ODBC Connector.

Select the Redshift ODBC driver and click on configure. Carefully configure the connection in the DSN dialogue box.

Setting up Amazon Redshift DSN .

Fill the necessary fields as follows:

  • Data Source: Give the name of the data source you want to connect to.
  • Server: Give the details of the server hosting your Redshift cluster.
  • Port: Redshift uses the port 5439 by default, however, you can fill in the correct port number as per your Redshift cluster.
  • Database: Give the name of your database. 
  • Auth_Type: Select the authentication type as standard.
  • User: Enter the username in the correct format to connect with the Redshift cluster.
  • Password: Enter your password here.

To set up SSL, click on the SSL options button. This will open a dialogue box called SSL Configuration. Select the authentication mode as disable and then click on ok to test the connection.

SSL Configuration.

Step 3: Connecting to Tableau

Launch Tableau on your workstation and select other databases (ODBC) from the connect column on the left. This will open a dialogue box where you need to provide the connection details.

Tableau Connectors.

In the ODBC dialogue box, select the Redshift DSN from a drop-down list and click on ok.

Select the data source name option and give a unique name to the database you are using. It’s considered a good practice to have a unique name as it makes it much easier for users to identify the database from which data is being fetched.

Tableau Workspace.

To select the desired schema, you can use the schema drop-down list from the column on the left. You can also perform a text-based search to find the desired option. Now similarly find and select the desired table and drag it onto the canvas.

This is how you can use ODBC to connect Redshift to Tableau & run a powerful analysis.

Some Limitations of This Method:

  • This method sometimes requires using third-party tools, which essentially is an extra tool that needs to be maintained. Such tools may even require some initial investment.
  • The Redshift ODBC driver has limited support for stored procedures. It does not support parameterised procedure calls, that is there can’t be two or more procedure calls with the same name but different parameters.
  • Redshift ODBC driver doesn’t support negative timestamps.
  • Using the Redshift ODBC driver with Microsoft Access may result in failures. especially with the queries that use late-binding.

Conclusion

This article introduces you to the various methods that can be used to connect Redshift to Tableau. It also provides in-depth knowledge about the concepts behind every step to help you understand and implement them efficiently. These methods, however, can be challenging especially for a beginner & this is where Hevo saves the day. Hevo Data, a No-code Data Pipeline helps you transfer data from a source of your choice in a fully-automated and secure manner without having to write the code repeatedly. Hevo with its strong integration with 100+ sources & BI tools, allows you to not only export & load data but also transform & enrich your data & make it analysis-ready in a jiffy.

Want to take Hevo for a spin? Sign up for the 14-day free trial! and experience the feature-rich Hevo suite first hand.

Tell us about your preferred way to connect Redshift to Tableau! Share your thoughts with us in the comments section below.

Sours: https://hevodata.com/learn/connecting-redshift-to-tableau/

Redshift connection tableau

Amazon Redshift

This article describes how to connect Tableau to an Amazon Redshift database and set up the data source.

Before you begin

Before you begin, gather this connection information:

  • Name of the server that hosts the database you want to connect to

  • Database name

  • User name and password

  • Are you connecting to an SSL server?

  • (Optional) Initial SQL statement to run every time Tableau connects

Driver required

This connector requires a driver to talk to the database. You might already have the required driver installed on your computer. If the driver is not installed on your computer, Tableau displays a message in the connection dialog box with a link to the Driver Download(Link opens in a new window) page where you can find driver links and installation instructions.

Make the connection and set up the data source

  1. Start Tableau and under Connect, select Amazon Redshift. For a complete list of data connections, select More under To a Server. Then do the following:

    1. Enter the name of the server that hosts the database and the name of the database you want to connect to.
    2. Enter the user name and password.
    3. (Optional) Enter custom driver parameters to modify the connection.
    4. Select the Require SSL check box when connecting to an SSL server.
    5. (Optional) Select Initial SQL to specify a SQL command to run at the beginning of every connection, such as when you open the workbook, refresh an extract, sign in to Tableau Server, or publish to Tableau Server. For more information, see Run Initial SQL.
    6. Select Sign In.

      If Tableau can't make the connection, verify that your credentials are correct. If you still can't connect, your computer is having trouble locating the server. Contact your network administrator or database administrator.

  2. On the data source page, do the following:
    1. (Optional) Select the default data source name at the top of the page, and then enter a unique data source name for use in Tableau. For example, use a data source naming convention that helps other users of the data source figure out which data source to connect to.

    2. From the Schema drop-down list, select a schema or use the text box to search for a schema by name.
    3. Under Table, select a table or use the text box to search for a table by name.
    4. Drag the table to the canvas, and then select the sheet tab to start your analysis.

      Use custom SQL to connect to a specific query rather than the entire data source. For more information, see Connect to a Custom SQL Query.

Customize the connection using driver parameters

There are times when you might want to modify the connection made with the Amazon Redshift connector. Starting in Tableau 2019.2.1, you can do this by appending driver parameters to the connection string in the Enter custom driver parameters text box:

Note: You can’t change the driver parameters that Tableau generates; you can only append parameters.

In this example, agarcia enters parameters that enable federated authentication using IDP:

DbUser=agarcia;AutoCreate=1;AuthType=Plugin;plugin_name=Ping;IAM=1;idp_host=idp.business-example.com;idp_port=443;preferred_role=arn:aws:iam::12345:role/dev;partner_spid=urn:amazon:webservices;

In this example, you limit the number of rows fetched to 1000:

Fetch=1000;

For details about driver parameters, see ODBC Driver Configuration Options(Link opens in a new window) on the Amazon AWS website.

Sign in on a Mac

If you use Tableau Desktop on a Mac, when you enter the server name to connect, use a fully qualified domain name, such as mydb.test.ourdomain.lan, instead of a relative domain name, such as mydb or mydb.test.

Alternatively, you can add the domain to the list of Search Domains for the Mac computer so that when you connect, you need to provide only the server name. To update the list of Search Domains, go to System Preferences > Network > Advanced, and then open the DNS tab.

See also

Sours: https://help.tableau.com/current/pro/desktop/en-us/examples_amazonredshift.htm
AWS Redshift Connection with Tableau

Amazon Redshift

Solutions

Amazon Redshift and Tableau Software are two powerful technologies in a modern analytics toolkit. Combined they form a data warehouse and analytics solution that allows business users to analyze datasets, running into the billions of rows, with speed and agility.

With Amazon Redshift, you can create a massively scalable, cloud-based data warehouse in just a few clicks. Combined with the real-time responsiveness of Tableau, you can gain insights from that data just as easily. Tableau natively connects to Amazon Redshift for advanced speed, flexibility, and scalability, accelerating results from days to seconds. With the power of AWS Redshift and Tableau, people can analyze massive amounts of data at the speed of thought and get the answers they need to drive strategic action.

Optimizing Tableau and Amazon Redshift for Better Performance

Tableau and Amazon Redshift are integrated out-of-the-box, meaning you can connect to your data warehouse with minimal effort. Given this, it’s important to understand how to optimize when integrating the two together, as doing so can yield considerable performance gains and ultimately shorten deployment cycles.

This paper introduces infrastructure advice, performance tests and measurements, as well as tips and hints to make the joint solution more efficient and performant.

Read more
AWS Redshift data warehouse connector

Tableau supports Redshift Spectrum

Following connectors to Amazon Redshift, Amazon EMR, and Amazon Athena, Tableau's update to its AWS Redshift connector with support for Redshift Spectrum (external S3 tables) marks yet another market-leading integration with the AWS analytics platform. Tableau Server also runs seamlessly in Amazon’s cloud infrastructure so the customers who prefer to deploy all of their applications inside AWS have a complete solution offering from Tableau.

Read more

With Tableau, you just hook it up to the Redshift server, connect, run a query, and publish it to the Server and you're literally done in an hour. It’s great—it feels like one product.

Abhishek Gupta,Senior Analyst, Box

Netflix uses Tableau and Redshift

Tableau in the Cloud: A Netflix Original

With over 1/3 of the world's internet traffic flowing through their servers everyday, Netflix has a massive pile of data to analyze. Hear from their talented team as they describe the processes and best practices they follow to extract the most out of their data with Tableau and AWS.

Watch now

More Resources

Sours: https://www.tableau.com/solutions/amazon-redshift

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