VantageCloud Lake supports the Time Travel feature, i.e. the ability to access the data in a table as it looked at a previous moment. This post explains how.
Category: Cloud
According to the National Institute of Standards and Technology (NIST), the Cloud is a model. It enables ubiquitous, convenient, on-demand network access to a shared pool of configurable computing resources. Those resources are networks, servers, storage, applications, and services. The Cloud allows quickly provisioning the resources with minimal effort or interaction.
In my opinion, the main benefit of the Cloud is that it allows innovation with native technologies. For example, several Machine Learning services are not available on-prem.
It also improves collaboration by making access to the data easier for anyone who needs it – anywhere, anytime within an organisation.
Moreover, the Cloud services perform many operations under the covers, so you can spend more time doing more practical tasks for your business, rather than just making maintenance tasks. Most of the services already do many of those tasks for you, such as scaling up and down automatically or collecting statistics in some databases.
With the increasing adoption of the Cloud paradigm, it has become critical to design and maintain hybrid architectures. In these scenarios, organisations perform part of their operations on-prem, streaming data to the Cloud. I explain different situations, use cases, and solutions in this category.
Additionally, it is pretty frequent that companies migrate their databases. For me, the secret sauce on an excellent migration is to plan carefully. I dedicate some posts on different aspects of database migration. However, I always insist on the tips to architect and design the migrations.
Equally important is keeping an analytical ecosystem in the Cloud. So I also have some posts on best practices for these ecosystems and how to leverage their benefits and native technologies.
VantageCloud Lake: Autoscaling the Compute Clusters
This post explains how the autoscale mechanism works for the VantageCloud Lake Compute Clusters and what triggers it.
Considerations To Load Data Into VantageCloud Lake
Teradata VantageCloud Lake architecture uses two file systems: Block File System (BFS) and Object File System (OFS). While OFS is cost-effective, BFS enables faster operations and features not available in OFS, such as temporal tables and row-level security. Additionally, the Lake instances are in the UTC zone, which conditions how to load data. This post explains the primary considerations for placing data in Lake.
VantageCloud Lake Architecture
VantageCloud Lake is Teradata’s cloud-native data and analytics platform. This post explains Lake’s architecture, including OFS and BFS storage, and its main capabilities.
Teradata Enterprise: Ins and Outs of the Encryption Keys
This post explains the options Teradata supports for using encryption keys in VantageCloud Enterprise and some recommendations.
Teradata VaaS on AWS: Network configuration
Cheat sheet with the key network elements you need to connect with your Teradata VaaS on AWS and a detailed explanation.