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.

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.

Have you heard? Talend Fall ’18 is here and continues on Talend’s plan to meet the challenges of today’s data professionals around organizing, processing and sharing data at scale. Earlier Jean-Michel Franco wrote up about the Data Catalog portion of this exciting Fall 2018 launch. In this blog I’d like to focus on our new API features.

For over 30 years, the dashboard has been the delivery paradigm of choice for decision support and executive information systems. It started with Business Objects and Cognos, and today Qlik, Tableau, Power BI and other vendors are still using dashboards as the medium of data delivery. Rather than thinking about whether there’s a better way to deliver insights, dashboard dinosaurs just keep using the same paradigm.

This month is packed with exciting news at Qlik, with the latest being the availability of Qlik Sense November 2018. This release introduces a game changing AI capability – cognitive machine learning. Qlik is leading the market with precedent-based learning capabilities, allowing our Cognitive Engine to get “smarter” over time based on user behavior and feedback, Qlik Sense artifacts, business rule definitions, and other sources.

When I hear the phrase “Data Warehouse Optimization”, shivers go down my spine. It sounds like such a complicated undertaking. After all, data warehouses are big, cumbersome and complex systems that can store terabytes and even petabytes of data that people depend on to make important decisions on the way their business is run. The thought of any type of tinkering with such an integral part of a modern business would make even the most seasoned CIO’s break out into cold sweats.

At Talend one of my “Shadow IT” jobs is reporting on the component usage. If you have ever used Talend Studio (either the open source Talend Open Studio or the commercial version you most likely know the component tMap. It is the most used component by a long shot. Why? Simply put, it’s because it is extremely versatile and useful. When I was first asked to write this article I thought, “Why not, this will be easy.”

When we look at automation in the BI industry and how vendors are tackling augmented analysis, or automated analytics, there are three distinct phases of maturity.

Today, Talend announced it has signed a definitive agreement to acquire Stitch, a self-service cloud data integration company that provides an exceptionally quick, easy, and intuitive experience in modern cloud environments. With Stitch, Talend will be able to provide both SMB and enterprise customers with a highly efficient way to move data from cloud sources to cloud data warehouses and buy in a frictionless manner.