Category: Analytics

Isima.io, a unified analytics startup founded in 2016, aims to accelerate analytics outcomes for organizations. Isimia.io does this by combining multiple data management disciplines – including Enterprise Service Bus (ESB), Extract-Transform-Load (ETL), Enterprise-Data-Warehouse (EDW), and Business Intelligence (BI) – into one hyper-converged system. IT teams can only win by building differentiated, agile data apps. The […]

Data protection is top of mind for our customers, and having a data backup strategy is critical to ensure compliance, disaster recovery readiness, and business continuity. As customers experience exponential business growth, their data storage needs grow as well, and data retention can become very costly. In order to meet compliance requirements for data retention […]

Customers building data lakes continue to innovate in the ways that they store and access their data. For these customers, performance is critical, particularly when they are accessing large amounts of data. For example, data scientists, data analysts, and data engineers running queries from open source frameworks like Trino want to accelerate access to their […]

Launched in 2002, TMAP Mobility is Korea’s leading mobility platform, with 20 million registered users and 14 million monthly active users. TMAP provides navigation services based on a wide range of real-time traffic information and data. Previously, the Data Intelligence group at TMAP Mobility operated a mobility-data platform based on a Hadoop Distributed File System […]

Many software-as-a-service (SaaS) product offerings have a pay-as-you-go pricing model, charging customers only for the resources consumed. However, a pay-as-you-go pricing is only viable when you can accurately track each customer’s use of resources, such as compute capacity, storage, and networking bandwidth. Without this data, SaaS providers do not have visibility into resource consumption of […]

When managing data storage, it is important to optimize for cost by storing data in the most cost-effective manner based on how often data is used or accessed. For many enterprises, this means using some form of cold storage or archiving for data that is less frequently accessed or used while keeping more frequently used […]

The demand for data storage has increased with the advent of a fast-paced data environment – creating, sharing, and replicating data at a large scale. Most organizations are looking for the optimal way to store their data cost-effectively, giving them everything they need from their data but without breaking the bank. Cloud storage provides flexible […]

As more organizations look to operate faster and at scale, they need ways to meet critical compliance requirements and improve data security. Encryption is a critical component of a defense in depth strategy, and when used correctly, can provide an additional layer of protection above basic access control. However, workloads that access millions or billions […]

Video feeds and still images from judiciary locations are considered critical forms of evidence in the court of law. These locations can be police stations and government offices or even civil locations of importance like banks and hospitals. As governments, particularly in smart cities rely upon video surveillance, it is critical to design a cost […]

Enterprises store increasing quantities of object data for use cases like data lakes, document management systems, and media libraries. Performing point-in-time restores for large datasets can be challenging, as existing approaches with full-restore from backup are time consuming and expensive. Alternatively, restoring individual objects to previous versions is prone to errors and delays the restore […]