IBM Cloud SQL Query lets you use standard SQL and Apache Spark SQL functions to query your structured and semi-structured data stored in Cloud Object Storage (COS). It’s a serverless solution that makes it easy to analyze lots of data in COS by pointing to the COS bucket that stores your data.
In this third part of a four-part series on Operationalizing SQL Query, we'll bring together the microservices we deployed in Part 1 to query data in IBM Cloud Object Storage (COS) using the techniques we developed in Part 2 using IBM SQL Query with the goal of connecting our application's data to Business Intelligence (BI) tools.
IBM Cloud is taking precautionary measures on behalf of our clients to address potential security vulnerabilities made public on August 14, 2018. We recommend that all clients should back up all data from their virtual server instances.
Over the past year, we’ve doubled-down on revamping approachable backup storage solutions for our small- to medium-sized customers, including our cloud-based EVault Backup Storage service. Now, we want to let you try 100GB on us.
Is your application's data a stream trickling into a puddle or a rising tide overwhelming the levees? Either way, IBM has you covered with tools to store, retrieve, query, and gain insights from data of any size.
Operationalizing IBM SQL Query: Part 2. In this article, we'll take a look at the best practices for connecting to IBM Cloud Object Storage from docker containers deployed in the IBM Cloud Kubernetes Service.
Learn about our integrations with IBM Cloud Resource Groups and how you can leverage identity and access management (IAM) to improve authentication against IBM Cloudant.
IBM Cloud Mass Data Migration is the newest addition to the IBM Data Transfer Portfolio offering a fast, simple, secure way to physically transport terabytes to petabytes of data to the IBM Cloud. An alternative to over-the-network options, Mass Data Migration enables clients to use one or multiple devices to accommodate any size workload, overcome […]
Data leakage associated with data stored in the cloud is one of the top security concerns of cloud computing users. Having the ability to protect data with cryptographic encryption key management is critical to the overall security of a cloud ecosystem. Company policies, industry best practices, and government regulations are increasingly requiring data-at-rest encryption supported by encryption key management to be included as fundamental components of overall data storage, data management, and data governance.