With interest in big data and cloud increasing around the same time, it wasn’t long until big data began being deployed in the cloud. Big data comes with some challenges when deployed in traditional, on-premises settings. There’s significant operational complexity, and, worst of all, scaling deployments to meet the continued exponential growth of data is difficult, time-consuming, and costly.

In the BigQuery Spotlight series, we talked about Monitoring. This post focuses on using Audit Logs for deep dive monitoring. BigQuery Audit Logs are a collection of logs provided by Google Cloud that provide insight into operations related to your use of BigQuery. A wealth of information is available to you in the Audit Logs. Cloud Logging captures events which can show “who” performed “what” activity and “how” the system behaved.

APIs are being created faster than ever before with ever-advancing technologies such as node.js and AngularJS. With the flexibility in design and integrations for APIs, there isn't a more exciting time than now to be an API developer. However, with so many new technologies and methods of creating APIs comes the question, "What makes a good API?" While the increase in API creation has many advantages for businesses in multiple areas, there is also more room for low-quality API production.

The right set of tools helps businesses utilize data to drive insights and value. But balancing a strong layer of security and governance with easy access to data for all users is no easy task. Retrofitting existing solutions to ever-changing policy and security demands is one option. Another option — a more rewarding one — is to include centralized data management, security, and governance into data projects from the start.

Learn the common types of bottlenecks in business and what others like you are doing to overcome these issues to grow faster.

Learn how to create a comprehensive web analytics report for your client or key stakeholders or get started immediately by downloading our free templates.

Integrate.io is a company that provides an ELT (Extract, Load and Transform) data stack. They can do transformations using DBT, which stands for Database Transformation toolkit. Then they use Integrate.io again to push the data into systems like Salesforce. This system will allow you to have better control over your data and provide a cost-effective solution.

ETL (Extract, Transfer and Load) is a well-known data integration process. There is an overwhelming number of tools that you can use (one of which is SSIS) and it can be difficult to choose between them. What exactly is SSIS, and how can it help your company perform ETL better than you ever have before? This article will explain the major features of SSIS, demonstrate the pros and cons of implementing it, and advise as to when you might be better off with a different ETL tool.