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Amazon Redshift Download

  • How To Guide Connecting Popular SQL Workbench to Redshift. Step 2: Download Driver. Download the latest Amazon Redshift JDBC compatible driver. This can be found here. Enter a name for the driver in the Name box and select ‘Amazon Redshift JDBC Driver.
  • The Amazon Redshift free trial program is not part of the AWS Free Tier. Your eligibility for each program is determined independently. Which Amazon Redshift node types can I use for my free trial? The Amazon Redshift free trial is limited to the DC2.Large node type.
  1. Amazon Redshift Database Download
  2. Redshift Odbc
  3. Amazon Redshift Driver Download
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This topic describes a library that lets you load data into Spark SQL DataFrames from Amazon Redshift, and write them back to Redshift tables. This data source uses Amazon S3 to efficiently transfer data in and out of Redshift, and uses JDBC to automatically trigger the appropriate COPY and UNLOAD commands on Redshift. Machine learning: Amazon Redshift uses machine learning to deliver high throughout, irrespective of your workloads or concurrent usage. Redshift utilizes sophisticated algorithms to predict incoming query run times, and assigns them to the optimal queue for the fastest processing. Automated backups: Amazon Redshift automatically and periodically backs up your data to Amazon S3. Redshift can asynchronously replicate your snapshots to S3 in another region for disaster recovery. You can use any system or user snapshot to restore your cluster using the AWS Management Console or the Redshift APIs. Installing the Amazon Redshift Driver on Windows Operating Systems Use the steps in this section to download the Amazon Redshift ODBC drivers for Microsoft Windows operating systems. Redshift is your comprehensive guide to the heavens. Enjoy a breathtaking, brilliant representation of the night skies; travel across the Milky Way and beyond, or have a close and detailed look at the planets, moons, asteroids, or many other celestial bodies.

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Amazon Redshift is a fully managed data warehouse service in the cloud. Its datasets range from 100s of gigabytes to a petabyte. The initial process to create a data warehouse is to launch a set of compute resources called nodes, which are organized into groups called cluster. After that you can process your queries.

How to Set Up Amazon Redshift?

Following are the steps to set up Amazon Redshift.

Step 1 − Sign in and launch a Redshift Cluster using the following steps.

  • Sign in to AWS Management console and use the following link to open Amazon Redshift console − https://console.aws.amazon.com/redshift/

  • Select the region where the cluster is to be created using the Region menu on the top right side corner of the screen.

  • Click the Launch Cluster button.

  • The Cluster Details page opens. Provide the required details and click the Continue button till the review page.

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  • A confirmation page opens. Click the Close button to finish so that cluster is visible in the Clusters list.

  • Select the cluster in the list and review the Cluster Status information. The page will show Cluster status.

Step 2 − Configure security group to authorize client connections to the cluster. The authorizing access to Redshift depends on whether the client authorizes an EC2 instance or not.

Follow these steps to security group on EC2-VPC platform.

  • Open Amazon Redshift Console and click Clusters on the navigation pane.

  • Select the desired Cluster. Its Configuration tab opens.

  • Click the Security group.

  • Once the Security group page opens, click the Inbound tab.

  • Click the Edit button. Set the fields as shown below and click the Save button.

    • Type − Custom TCP Rule.

    • Protocol − TCP.

    • Port Range − Type the same port number used while launching the cluster. By-default port for Amazon Redshift is 5439.

    • Source − Select Custom IP, then type 0.0.0.0/0.

Amazon Redshift Download

Step 3 − Connect to Redshift Cluster.

There are two ways to connect to Redshift Cluster − Directly or via SSL.

Amazon Redshift Database Download

Following are the steps to connect directly.

  • Connect the cluster by using a SQL client tool. It supports SQL client tools that are compatible with PostgreSQL JDBC or ODBC drivers.

    Use the following links to download − JDBC https://jdbc.postgresql.org/download/postgresql-8.4-703.jdbc4.jar

    ODBC https://ftp.postgresql.org/pub/odbc/versions/msi/psqlodbc_08_04_0200.zip or http://ftp.postgresql.org/pub/odbc/versions/msi/psqlodbc_09_00_0101x64.zip for 64 bit machines

  • Use the following steps to get the Connection String.

    • Open Amazon Redshift Console and select Cluster in the Navigation pane.

    • Select the cluster of choice and click the Configuration tab.

    • A page opens as shown in the following screenshot with JDBC URL under Cluster Database Properties. Copy the URL.

  • Use the following steps to connect the Cluster with SQL Workbench/J.

    • Open SQL Workbench/J.

    • Select the File and click the Connect window.

    • Select Create a new connection profile and fill the required details like name, etc.

    • Click Manage Drivers and Manage Drivers dialog box opens.

    • Click the Create a new entry button and fill the required details.

  • Click the folder icon and navigate to the driver location. Finally, click the Open button.

  • Leave the Classname box and Sample URL box blank. Click OK.

  • Choose the Driver from the list.

  • In the URL field, paste the JDBC URL copied.

  • Enter the username and password to their respective fields.

  • Select the Autocommit box and click Save profile list.

Features of Amazon Redshift

Redshift Odbc

Following are the features of Amazon Redshift −

Amazon Redshift Driver Download

  • Supports VPC − The users can launch Redshift within VPC and control access to the cluster through the virtual networking environment.

  • Encryption − Data stored in Redshift can be encrypted and configured while creating tables in Redshift.

  • SSL − SSL encryption is used to encrypt connections between clients and Redshift.

  • Scalable − With a few simple clicks, the number of nodes can be easily scaled in your Redshift data warehouse as per requirement. It also allows to scale over storage capacity without any loss in performance.

  • Cost-effective − Amazon Redshift is a cost-effective alternative to traditional data warehousing practices. There are no up-front costs, no long-term commitments and on-demand pricing structure.