When you have vast quantities of rectangular data, the way you lay it out on object storage systems like IBM Cloud Object Storage (COS) makes a big difference to both cost and performance of SQL queries. However, this task is not as simple as it sounds. Here we survey some tricks of the trade.
With IBM Cloud block and file storage, conducting your data DR test is easy and you don’t have to fail over, or otherwise disrupt, your replication configuration while doing your test. Learn more about how IBM Cloud block and file storage helps with DR.
Many government agencies and public administrations offer access to data, contributing to open data. Using IBM Watson Studio with Jupyter Notebooks and Apache Spark it is simple to retrieve, combine and analyze data from different sources. The result can be easily visualized. Learn what it takes with this IBM Cloud solution tutorial.
IBM Cloud Object Storage regional service is now available in Frankfurt, Germany. Learn how this Regional service provides availability and data durability by automatically storing data across three IBM Cloud data centers in the Frankfurt region.
Learn about the multi-vault capabilities recently added to IBM Cloud Disk to Disk Enterprise Backup for IBM Cloud virtual and bare metal servers. Multi-vault backups are an easy way to expand your IBM Cloud infrastructure footprints, and deliver more of what your customers want.
When it comes to storage in the cloud, having a combination of block, file and cloud object storage gives you the ability to optimize your storage costs all while providing reliability, durability and security. Learn about the IBM Cloud enterprise-grade storage solutions that can help your businesses’ use cases.
In recent years, object storage has become a dominant paradigm for large-scale, cost-effective data storage. Solutions like IBM Cloud Object Storage are both highly scalable and extremely resilient, utilizing ingenious algorithms to distribute data across a cluster of storage systems and provide a high level of fault tolerance. At the same time, these algorithms minimize the number of complete copies of the data that need to be stored, which reduces total data volumes and keeps costs low.
IBM Cloud Schematics is a tool that uses Terraform to provision and manages infrastructure resources, Cloud Foundry applications, services, Kubernetes clusters and much more using the code in a configuration file(s).
By 2019, about 60 percent of all enterprise workloads will be in the cloud, according to 451 Research. Only 45 percent of workloads are in the cloud now1. As this transition to cloud continues to grow, speed is an increasingly important factor for companies staying on top of their data.