There are plenty of trends and hot topics in the enterprise technology market today. One common area we hear about from users is that there’s a lot of data to collect, manage, and analyze. And whatever industry you’re in, you probably want to do something more with your data. We built BigQuery, one of the important tools in the Google Cloud Platform (GCP) arsenal, to provide serverless cloud data warehousing and analytics with built-in machine learning to meet modern data needs.

The Soviet era left Mongolia with a legacy of manual banking processes that requires huge quantities of paperwork. This means that customers need to visit branches frequently for simple things like changing a PIN number or requesting a credit card. Since we count 2.8 million of Mongolia’s 3.3 million citizens as our customers, this could mean long lines at the bank, with an average wait time of 25 minutes for each visit. We wanted to change that.

60% of agencies say that organic drives the most traffic for clients right now. How will that change over the next 12 months? We asked them to share.

A popular term emerging from the software industry over the last few years is serverless computing, more commonly referred to as just “serverless”. So what does it mean? In its simplest form, a serverless architecture is a computing model where a service provider dynamically manages the allocation of computing resources based on a Service Level Agreement (SLA), provisioning and running resources only for the time needed and without requiring end-user involvement.

In the previous blog, we walked through the installation and set-up of Talend Open Studio and briefly demonstrated key features to familiarize you with the Studio interface. In this blog, we will build a simple job to load data from a local file into Snowflake, a cloud data warehouse technology. More specifically, we will build a new job that takes customer data from your local machine and maps it to a target table within Snowflake.

As I work with customers around the world and across verticals, I’m struck by a common pattern: many savvy business people and technologists grasp the value of the new application programming interfaces (APIs) they’re creating for external ecosystem use cases, such as providing partners access to data or functionality, but they often see both the APIs they already have and those they build for internal use in a different light — not as software products that let developers