Systems | Development | Analytics | API | Testing

You asked, we listened ❤️ From now on, you have the option to store your bitrise.yml file in your Git repository where you can review and manage previous versions.

The “as a service” business model continues to grow rapidly, largely thanks to the rise of cloud computing. “As a service” offerings deliver IT products and technologies such as software, hardware, and data storage to consumers via the Internet, rather than having to install or manage them themselves. Serverless and containers are two such “as a service” technologies that have seen increasing adoption in recent years.

Companies from every industry vertical, including finance, retail, logistics, and others, all share a common horizontal analytics challenge: How do they best understand the market for their products? Solving this problem requires companies to conduct a detailed marketing, sales, and finance analysis to understand their place within the larger market. These analyses are designed to unlock insights in a company's data that can help businesses run more efficiently.

Google BigQuery was released to general availability in 2011 and has since been positioned as a unique analytics data warehousing service. Its serverless architecture allows it to operate at scale and speed to provide incredibly fast SQL analytics over large datasets. Since its inception, numerous features and improvements have been made to improve performance, security, reliability, and making it easier for users to discover insights.

Recently, Cloudera announced the release of Cloudera CDP Private Cloud, delivering the final component of our hybrid cloud strategy. There’s nothing comparable to it in the industry. CDP Private Cloud offers benefits of a public cloud architecture—autoscaling, isolation, agile provisioning, etc.—in an on-premise environment.

Comprehensive, comparative analysis of our data can be a highly time-consuming manual task for your users. But new-wave automation and machine learning (ML) tools makes monitoring, alerting and gleaning new insights a lot faster. One such example is Yellowfin Signals and the latest addition to its extensive algorithm library, called step change.

Data science is proving to be a major competitive advantage for companies. While business intelligence (BI) helps companies with reporting and historical analysis, data science goes a step further and predicts the future. It can leverage much more data from many more sources, and using machine learning (ML) principles, it automatically identifies patterns and trends to model, predict, or forecast future outcomes.