Causal Clustering is the next generation multi-site replication technology. It supports a distributed system clustering model for data centers. With Casual Clustering, you can experience better performance for remote team members and more robust replication, ensuring your teams are always up and running.

During a Teradata migration to BigQuery, one complex and time consuming process is migrating Teradata users and their permissions to the respective ones in GCP. This mapping process requires admin and security teams to manually analyze, compare, and match hundreds to thousands of Teradata user permissions to BigQuery IAM permissions. We already described this manual process for some common data access patterns in our earlier blog post.

Budgeting is one of those essential processes in which every business must engage. It’s critical to have a meaningful financial plan in place, to have realistic targets to achieve. Unfortunately, traditional models for financial planning and budgeting are increasingly strained as businesses strive to cope with change. Many are seeking leaner, more agile budgeting and planning options.

Every step of an organization’s customer journey plays a role in overall customer satisfaction. But for insurers facing increased competition from emerging insurtechs, the digital claims experience is perhaps the most crucial to get right. According to EY Global’s Consumer Insurance Survey, 87% of policyholders say the claims experience directly impacts their decision to remain with their insurance provider. To up the ante even further, insurtech funding has been increasing exponentially.

AWS Redshift is a managed data warehouse solution from Amazon Web Services. It’s part of their popular cloud-based computing platform and used by many familiar enterprises, such as Lyft and McDonald’s. Data warehouses are storage and analytical solutions for large amounts of data. They take data gained via ETL or ELT services like Integrate.io or AWS Glue and turn it into useful information and datasets that businesses can analyze and utilize for strategic insights.

Businesses have been adopting more apps over the last decade. The right applications make it easier for them to communicate with customers, analyze data, improve efficiency, and refine their business practices. The number of apps used by businesses jumped incredibly during 2020 as the pandemic made it more difficult or impossible for employees to work from their offices. As organizations rely more heavily on diverse applications, they need reliable API management tools with self-service features.

It’s official — Self-Service Data APIs are available as a new feature of Data Inventory! Highly skilled and less-technical users can now make their datasets available to applications and partners via APIs in just a few clicks. Self-Service Data APIs empower every permissioned employee to leverage data across the business to generate valuable insights or even extend data availability beyond the organization to trusted partners.

Piano is a leading provider of software and services that help organizations better understand their audiences across digital channels. With these insights in hand, Piano customers can intelligently serve audiences with personalized experiences that keep them engaged and drive revenue, all through a single unified platform.

There are important advantages of using Test Management Tools for an effetive product release, for locating and managing critical defects and for allowing you to focus on developing better software and a more efficient development process. Having a platform to handle all rounds of testing is crucial, especially as more software developers use cycle methodologies like Test-Driven Development.

Almost every organization is a data organization. Yet, as data proliferates, data ecosystems have become increasingly complex, making it harder for organizations to control and prevent data quality issues from occurring. Data Observability gives organizations the ability to monitor data usage throughout the data ecosystem.