Category: Teradata

Feed: Teradata Blog. Many Teradata customers are interested in integrating Teradata Vantage with Amazon AWS First Party Services. This Getting Started Guide will help you to connect Teradata Vantage with AWS Kinesis service.  Although this approach has been implemented and tested internally, it is offered on an as-is basis. Neither AWS nor Teradata provide validation of Teradata Vantage with AWS services.  We encourage your feedback. We want to understand what you found useful and how we can improve this guide.   Please send your feedback to shamira.joshua@teradata.com and wenjie.tehan@teradata.com.  Disclaimer: This guide includes content from both AWS and Teradata product documentation.  Overview  AWS Kinesis is a streaming service that makes it easy to collect, process, and analyze real-time, streaming data.  Kinesis streaming data ... Read More

Feed: Teradata Blog. How do you optimize your entire supply chain?  How do you know you are economically balancing the costs of demand and supply fulfilment across the entire organization when each organization has different objectives and measures, and often maintains their own applications and data? This post will help you think about and answer these questions for your business.  The supply chain is like a river, flowing over rocks, around bends and frequently looking for the easiest path downhill.  Removing one rock or changing a branch of the river may provide improved flow at a given point but will ... Read More

Feed: AWS Big Data Blog. This is the fourth in a series of posts. We’re excited to share dozens of new features to automate your schema conversion; preserve your investment in existing scripts, reports, and applications; accelerate query performance; and potentially reduce your overall cost to migrate to Amazon Redshift. Amazon Redshift is the leading cloud data warehouse. No other data warehouse makes it as easy to gain new insights from your data. With Amazon Redshift, you can query exabytes of data across your data warehouse, operational data stores, and data lake using standard SQL. You can also integrate other ... Read More

Feed: AWS Big Data Blog. This is the third post in a multi-part series. We’re excited to share dozens of new features to automate your schema conversion; preserve your investment in existing scripts, reports, and applications; accelerate query performance; and reduce your overall cost to migrate to Amazon Redshift. Amazon Redshift is the leading cloud data warehouse. No other data warehouse makes it as easy to gain new insights from your data. With Amazon Redshift, you can query exabytes of data across your data warehouse, operational data stores, and data lake using standard SQL. You can also integrate other services ... Read More

Feed: AWS Architecture Blog. Amazon Web Services (AWS) Cloud is elastic, convenient to use, easy to consume, and makes it simple to onboard workloads. Because of this simplicity, the cost associated with onboarding workloads is sometimes overlooked. There is a notion that when an organization moves its workload to the cloud, agility, scalability, performance, and cost issues will disappear. While this may be true for agility and scalability, you must optimize your workload. You can do this with services like Amazon EC2 Auto Scaling via Amazon Elastic Compute Cloud (Amazon EC2) and Amazon EC2 Spot Instances to realize the performance ... Read More

Feed: Recent Announcements. Amazon Redshift, a fully-managed cloud data warehouse, announces availability of Amazon Redshift RSQL, a command line client for interacting with Amazon Redshift clusters and databases. With Amazon Redshift RSQL, you connect to an Amazon Redshift cluster, describe database objects, query data, and view query results in various output formats. Amazon Redshift RSQL supports the capabilities of the PostgreSQL psql command line tool with an additional set of Amazon Redshift specific capabilities: You can use Single Sign-On (SSO) authentication using ADFS, PingIdentity, Okta, Azure AD or other SAML/JWT based Identity Providers, as well as use Browser-based SAML Identity Providers ... Read More

Feed: Teradata Blog. * Article originally appeared in Nikkei Japan and has been translated into English.MS&AD Insurance Group, one of Japan’s leading insurance and finance groups, established the promotion of digitalization as an important strategy in its “Vision 2021” medium-term management plan that was launched in 2018, and since then the whole group has been engaged in digital transformation. Mitsui Sumitomo Insurance Group (hereinafter “Mitsui Sumitomo”), which is the core company of the group, is implementing a new structure to improve customer experience value by leveraging data. Shinichiro Funabiki, who until last year was spearheading digital transformation as the group’s CDO ... Read More

Feed: Featured Blog Posts - Data Science Central. Author: Prolay Ghosh. Introduction: This article can help companies to step into the Hadoop world, move an existing Hadoop strategy into profitability or production status. Though they may lack functionality to which we have become accustomed, scale-out file systems that can handle modern levels of complex data are here to stay. Hadoop is the epitome of the scale-out file system. Although it has been pivoted a few times, it’s simple file system (HDFS) persists, and an extensive ecosystem has built up around it. While there used to be little overlap between Hadoop ... Read More

Feed: Teradata Blog. Chris, a top-rated data scientist at ACME Bank, is responsible for supporting one of the key corporate business initiatives for increasing the number of per-customer bank services. He had created multiple predictive models, using a proven open source predictive algorithm, against a set of sample data. The models include the customers’ transactional behavior and more importantly, the potential for cross selling other bank services to customers. He trained and validated the models and was confident that the models will be effective in achieving their goals once they are scored against every customer data in production. Mission accomplished?  ... Read More

Feed: Teradata Blog. It’s been about a year since I last wrote about Legacy and modern architectures and what a year it has been! We have seriously changed our working culture adapting to the impact of COVID-19 and the need for social distancing. Those in-person meetings were replaced with video conferencing. We learned to adapt to those pesky interruptions – surprise spouses, kids, pets joining the video calls as well as the technical difficulties which would often occur (Am I on mute?). Reflecting back on the change which has impacted information and analytics, it has also been a wild adventure. In 1979 ... Read More