In OIDC, the credentials are never shared with any applications and OIDC tokens are exchanged between the applications for authentication and authorization.
#ODBC REDSHIFT DRIVERS#
The drivers provided by AWS support IAM, SSO, and federated authentication.įor secure access, Xylem has implemented SSO using Keycloak, an open authentication protocol that is an extension of OAuth 2.0. QuickSight provides quick insights from disparate data sources, such as on-premises databases and SaaS applications like Salesforce, and seamlessly integrates with Amazon Redshift, Solution overviewĪmazon Redshift provides Java Database Connectivity (JDBC), Python, and Open Database Connectivity (ODBC) drivers to connect from various SQL clients. Moreover, refer to Amazon QuickSight, a fast cloud-based business analytics service that is serverless and requires no up-front investment in expensive hardware and software. You can use Power BI to perform ad-hoc query analysis, data visualization, and create dashboards. Power BI is a data visualization tool developed by Microsoft that offers enterprise business intelligence (BI) capabilities. Keycloak provides SSO, User Federation, Identity Brokering, Social Login, etc. Keycloak is an open-source IAM tool, it’s based on standards such as SAML 2.0, OIDC, and OAuth2.0. IAM also has the SAML 2.0 (Security Assertion Markup Language 2.0) identity provider (IdP) entity which supports SAML 2.0 standard. It helps administrators manage permissions in a central location and control users’ accessibility to AWS resources. It also handles the authentication and authorization to use resources. IAM is a web service that secures and controls access to the resources in AWS. Amazon Redshift also offers a serverless option that automatically provisions and scales data warehouse capacity to meet the requirements for demanding and unpredictable workloads. Let’s review the concepts of the key components used in the solution.Īmazon Redshift is a fully-managed petabyte-scale cloud data warehouse service that uses SQL to analyze the structure, semi-structured data across databases, and data lakes, as well as provides a secure and reliable analytics service.
#ODBC REDSHIFT HOW TO#
We are also explaining how to overcome the challenges associated with the ODBC driver and its support for OpenID Connect (OIDC) using SAML based assertion and OIDC tokens to establish the connectivity between Power BI and Amazon Redshift using Amazon Redshift ODBC Driver.
This post demonstrates how Xylem and AWS partners worked together to enable secure connectivity using Amazon Redshift, AWS Identity and Access Management (IAM), Keycloak and Power BI. To secure and protect users’ data, we integrated Single-Sign-On (SSO) credentialing directly to Amazon Redshift clusters to facilitate individual user connections via an Identity Provider. Customers access and analyze the data in Amazon Redshift using Power BI. Xylem built Sensus Utility Data Lake on AWS and stored the utilities’ data in Amazon Redshift. The main benefit is to give customers the analytical abilities to satisfy their regional specific analysis and regulatory needs, which differ from the greater population of utilities served by the existing product portfolio.
#ODBC REDSHIFT CODE#
One of those innovative solutions is the Sensus Utility Data Lake, where customers can capture data from their smart meters and use self-service/low code tooling to draw novel analytic insights from their data. There may be error messages posted before this with more information about the failure.Xylem (NYSE: XYL) is a leading global water technology company committed to solving critical water and infrastructure challenges with innovation. The meaning of the failure code is defined by the component, but the error is fatal and the pipeline stopped executing. The component returned a failure code when the pipeline engine called PrimeOutput(). The PrimeOutput method on ODBC Source returned error code 0x80004005. Error: SSIS Error Code DTS_E_PRIMEOUTPUTFAILED. (10010) Memory allocation error: std::bad_alloc exception is caught. ] Error: Open Database Connectivity (ODBC) error occurred. (30) Error occurred while trying to execute a query: server closed the connection unexpectedly.This probably means the server terminated abnormallybefore or while processing the request. If I run package to load all data, then it runs for some time and throws the following error. However, my historical table has 260636061 records. I loaded about top 10000000 reocords in 21 mins. I have huge amount of data to be loaded from Redshift. I am using Redshift ODBC 32-bit drivers to pull data in SQL-2016 via SSIS 2015 ODBC Connection.
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