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Early-stage growth: Why shifting the founder mindset is critical to acquiring your first 10 customers

Growth. It’s the mountain every startup founder must learn to climb in order to run a successful business. And as with any great mountain, the journey to the top never feels more daunting than at the base. How your startup earns its first 10 customers will set the tone for the rest of the trek and determine how fast your team reaches the summit — if at all.

The role of a CDO with Cosmo, Chief Destiny Officer

Have you ever wished you had a crystal ball? We tracked down a CDO who actually uses one. See, Cosmo, CDO is not a Chief Data Officer — he’s a Chief Destiny Officer. We’re all about data at Talend, but sometimes it’s good to see things from another perspective. We sat down with Cosmo to ask him about his job, his background, and his methods.

Spectacular growth: Beaumotica accelerates expansion with data-driven insights from Talend

Beaumotica combines smart lighting, design, and top brands to create the perfect mood and atmosphere for any room. And with help from Talend, the company can now combine data, analytics, and automation to optimize business decisions and accelerate growth. Last year alone the company tripled its business and expanded into new territories across Europe. Based in The Netherlands, Beaumotica has been growing steadily since 2007.

With Stitch, Simba is losing no sleep over aggressive growth plans

“If we didn’t have Stitch, we would have to recruit and hire data engineers, buy space for hundreds of millions of rows that we’re sinking into the database, and on and on. For us, Stitch is essential.” –Tomasz Eitner, BI and Data Analyst, Simba Sleep Simba Sleep has always been a data-driven company. Before the firm was even formally launched, the founders purchased research profiles from more than 10 million sleepers—including 180 million body profile data points.

Our reflections on the 2021 Gartner Magic Quadrant for Data Integration Tools

“The data integration tool market is seeing renewed momentum, driven by requirements for hybrid and multi-cloud data integration, augmented data management, and data fabric designs.” This is what Gartner assesses in its latest Magic Quadrant for Data Integration Tools* report. And that assessment makes perfect sense. Data is the lifeblood of an organization.

Optimizing Cloudera Data Engineering Autoscaling Performance

The shift to cloud has been accelerating, and with it, a push to modernize data pipelines that fuel key applications. That is why cloud native solutions which take advantage of the capabilities such as disaggregated storage & compute, elasticity, and containerization are more paramount than ever. At Cloudera, we introduced Cloudera Data Engineering (CDE) as part of our Enterprise Data Cloud product — Cloudera Data Platform (CDP) — to meet these challenges.

Migrating Data Pipelines from Enterprise Schedulers to Airflow

At Airflow Summit 2021, Unravel’s co-founder and CTO, Shivnath Babu and Hari Nyer, Senior Software Engineer, delivered a talk titled Lessons Learned while Migrating Data Pipelines from Enterprise Schedulers to Airflow. This story, along with the slides and videos included in it, comes from the presentation.

How to load Salesforce data into BigQuery using a code-free approach powered by Cloud Data Fusion

Organizations are increasingly investing in modern cloud warehouses and data lake solutions to augment analytics environments and improve business decisions. The business value of such repositories increases as customer relationship data is loaded and additional insights are generated.

BigQuery Admin reference guide: Recap

Over the past few weeks, we have been publishing videos and blogs that walk through the fundamentals of architecting and administering your BigQuery data warehouse. Throughout this series, we have focused on teaching foundational concepts and applying best practices observed directly from customers. Below, you can find links to each week’s content: Query Processing : Ever wonder what happens when you click “run” on a new BigQuery query?