The explosion of data generation and diversity in today’s interconnected environment is unprecedented. As this surge continues, organizations face an immense opportunity to unlock genuine value from their data.
However, traditional enterprise analytics solutions often consist of various disconnected systems, including analytics platforms, data lakes, and data warehouses. The management of these disparate systems can be time-consuming and costly, requiring extensive data movement and multiple management teams, each with varying skill sets.
What is essential is a scalable, enterprise-ready platform that allows business leaders to effectively operationalize data analytics. This solution should deliver timely business outcomes at a reasonable cost.
A comprehensive, unified analytics platform that minimizes data movement and supports critical workloads would enable leaders to focus on the insights and opportunities arising from their data rather than the complexities of analytics itself.
Teradata, an Advanced Technology Partner within the AWS Partner Network (APN) boasting the AWS Data & Analytics Competency, has developed Teradata Vantage to tackle this challenge effectively.
In this article, we delve into how Teradata Vantage harnesses the scalability, speed, and power of Amazon Web Services (AWS), allowing you to alleviate infrastructure challenges and concentrate on deriving answers to your business queries.
Understanding Teradata Vantage
Teradata Vantage is an advanced analytics platform that integrates both open-source and commercial analytic technologies. It facilitates autonomous decision-making by offering insights, tackling complex business challenges, and enabling descriptive, predictive, and prescriptive analytics.
Vantage supports various tools and languages, including R, Python, Teradata Studio, Jupyter, RStudio, and any SQL-based applications. It can be deployed across public clouds, on-premises, on optimized or standard infrastructure, or as a service.
With decades of expertise in developing and assisting clients in deploying Massively Parallel Processing (MPP) analytics databases, Teradata is well-equipped to address large-scale business challenges characterized by substantial size, significant concurrent usage, and stringent performance demands that other technologies struggle to meet.
Teradata Vantage on AWS
Teradata Vantage on AWS provides real-time business intelligence at scale through a comprehensive solution that merges analytics, data lakes, and data warehouse technologies.
Vantage includes a high-speed data store connected via a high-speed network fabric to:
- A high-performing, massively parallel Advanced SQL Engine (formerly known as Teradata Database) operating on Amazon EC2 M5 instances, which are optimized for various workloads, including small and medium-sized databases.
- Machine learning and graph engines featuring over 180 advanced analytics functions running as containerized applications on Amazon EC2 M5d instances within a Kubernetes cluster on Amazon Elastic Kubernetes Service (Amazon EKS). M5d instances are particularly suited for workloads requiring a balance of computing power and memory resources, providing high-speed, low-latency local block storage up to 3.6TB of NVMe-based SSD.
Additionally, the Vantage analytical engines can query data not only in primary storage but also JSON, CSV, and Parquet files located in data lakes within Amazon Simple Storage Service (Amazon S3) as if they were part of the primary data store. This capability is enabled by Teradata’s Native Object Store (NOS) feature, which allows you to read data in its native location without preloading it into Vantage.
Access to Teradata’s NOS can be achieved through:
- Open Database Connectivity (ODBC) API, which lets Windows applications connect to databases using SQL.
- Java Database Connectivity (JDBC) API, which allows Java applications to access databases through SQL.
Both ODBC and JDBC are widely accepted SQL standards for data access and query execution.
Moreover, Vantage is compatible with leading data science tools and languages, including SQL, R, Python, and more, along with third-party tools used for data analysis and visualization.
Deployment Options
Vantage can be deployed on AWS through two primary approaches:
- Software-as-a-Service (SaaS)
In this model, Teradata oversees the Vantage service, allowing you to focus on data and applications while it handles analytics. Teradata Cloud Operations creates a single-tenant Amazon Virtual Private Cloud (Amazon VPC) instance of Vantage, managing software deployment, infrastructure, monitoring, high availability, upgrades, and security. A 99.9% availability SLA is offered for this SaaS model. - Do-it-Yourself (DIY)
This option lets you subscribe to Teradata Vantage via AWS Marketplace (paying only for what you use) and deploy it within your Amazon VPC. This approach provides complete control over your virtual networking setup, including IP range selection, subnet creation, and route tables. However, it also requires you to manage the configuration of networking, infrastructure, backups, and security.
For additional insights on this topic, check out this blog post which offers valuable information for readers.
SaaS Pricing Models
Vantage on AWS (SaaS) can be priced in two ways:
- Consumption (Pay-as-You-Go)
You pay only for successfully executed queries tracked as Vantage Units and storage. - Provisioned Capacity
This model allocates a fixed amount of compute resources and IO capacity for your Advanced SQL Engine instances, measured in TCores. Alternatively, you can opt for Flex Capacity, which allows dynamic resizing of resources tracked in TCore-Hours.
For further details, refer to this expert resource that goes in depth on these pricing models.
In conclusion, deploying Teradata Vantage on AWS enables organizations to harness the full potential of their data analytics, leading to better decision-making and business outcomes. For those interested in a career in this innovative field, consider exploring opportunities like the Learning Trainer position in Los Angeles, which is an excellent resource for professional development.
Location:
Amazon IXD – VGT2
6401 E Howdy Wells Ave, Las Vegas, NV 89115
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