Talend Fall ’18 is here! We’ve released a big update to the Talend platform this time around including support for APIs, as well as new big data and serverless capabilities. You will see blogs from my colleagues to highlight those major new product and features introductions. On my side, I’ve been working passionately to introduce Talend Data Catalog, which I believe has the potential to change the way data is consumed and managed within our enterprise.

AstraZeneca plc is a global, science-led biopharmaceutical company that is the world’s seventh-largest pharmaceutical business, with operations in more than 100 countries. The company focuses on the discovery, development, and commercialization of prescription medicines, which are used by millions of patients worldwide.

Times are tough – adversity is hitting our public sector and healthcare agencies from every angle. Budgets and resources are stretched beyond breaking point with many agencies facing multi-million real-term cuts. Combine this with an increase in complex demand, heightened public scrutiny and a continued expectation of improvement; something must change.

This month we released several new features in beta, including query scheduling, new BigQuery ML models and functions, and geospatial types and queries. We also released the ORC ingest format into GA. Let’s take a closer look at these features and what they might mean for you.

When we think of other products in Bugfender’s space, we don’t really think of competitors; we think of alternatives. Because, being honest, Bugfender doesn’t really have any direct competitors. That sounds like cheesy marketing, right? Yep, we get that. And we don’t say it to be arrogant. We say it because Bugfender was built to provide a unique service in our space. In fact it’s designed to serve the specific needs of our parent company, Mobile Jazz.

As we covered in our recent NLP blog, there are a lot of cool use cases for text / sentiment analysis. One recent instance we found really interesting came out of our May presentation at SeaTUG (Seattle Tableau User Group.)

We’ve recently experienced two fairly large system problems that have affected approximately 35% of our clients. The first issue took 50 minutes to resolve and the other approximately 10 hours. The root cause in both cases was the way we handled the provisioning of adhoc sandboxes on top of our SnowflakeDB (a few words about “how we started w/ them”).

How do you protect the stability of the work you’ve already done, while evangelizing experimentation, exploration and progress within your organization? The rapid evolution in business intelligence and analytics capabilities is both exhilarating and overwhelming.

BigQuery, Google Cloud’s serverless, highly scalable, low-cost, enterprise data warehouse, was designed to make data analysts productive. With no infrastructure to manage, customers can focus on analyzing data using familiar Standard SQL, while simplifying database administration and data operations. Large enterprises, mid-market growing organizations, and cloud native startups across the globe can use BigQuery to perform analytics at scale with equal ease.

Automating the invoicing process to cut down up to 2-3 mandays per month. Our goal was clear. But how did we do it? Assisting clients with data and automation is our specialty here at Keboola, with the mission of helping businesses become “data-driven.” Several months ago it was our turn to put in moto our own engines and build an automated workflow for our invoicing process.