Data bricks has many advantages for collaborating on data and data science, it can be used on Azure data services, as well as on GCP & Amazon. In addition Data Bricks allows for usage of several different IDE's and languages such as Python, R, Scala and SQL, in Jupiter notebooks, R studio or PyCharm, making it possible for the whole data department to collaborate. 

From Power BI, Data Bricks can easily be accessed with the Data Bricks partner connector, after which it is possible to both connect to data bricks clusters or SQL endpoints. This ensures that you can both build data models from data in Data Bricks and include the output of models, so that insights can be visualized and shared through the Power BI platform.  

Agenda:

• Data Bricks on Azure, GCP & AWS
• Data Bricks languages R, Python, Scala & SQL
• Notebooks, Clusters & SQL endpoints
• Data bricks partner connect
• Working with Data Bricks data in Power BI

Emilie Lundblad, 

Managing Director of Data & AI at Amesto Nextbridge
Speaker at Make Data Smart & Genesis Conference
12 Microsoft Data & AI certifications
Minor in Machine learning & AI from MIT (Guest lecturer fall 2022)

Writing master thesis in AI on Executive master of IT Management at ITU (Guest lecturer fall 2022)

Candidate in quantitative finance & econometrics
12+ years' experience with data & analytics, 6 of them in Data & AI consulting.

Startup entrepreneur & data nerd.

Laura Frølich

Laura Frølich is Lead Data Scientist at Amesto NextBridge Denmark. Previously, Laura applied data science in the water sector and supervised MSc students at DHI, did consulting at Teradata and researched non-specific effects of vaccines at the Danish SSI.

Laura holds a PhD in machine learning from DTU.