DataBricks Adoption: Adopt Azure DataBricks Analysis Service in Your Company
Fast, simple and collaborative Big Data based on Apache Spark
![DataBricks Adoption 1 cabecera nubes](https://sp-ao.shortpixel.ai/client/to_webp,q_glossy,ret_img,w_1924,h_456/https://www.encamina.com/wp-content/uploads/2017/09/cabecera-nubes.png)
![DataBricks Adoption 2 CRM educación cabecera](https://sp-ao.shortpixel.ai/client/to_webp,q_glossy,ret_img,w_553,h_235/https://www.encamina.com/wp-content/uploads/2019/08/header-databricks.png)
![DataBricks Adoption 3 logo databricks logo microsoft cuadrado 1](https://sp-ao.shortpixel.ai/client/to_webp,q_glossy,ret_img,w_638,h_528/https://www.encamina.com/wp-content/uploads/2019/08/logo-databricks-logo-microsoft-cuadrado-1.png)
What is Azure + Databricks?
Azure Databricks is an Apache Spark based analytics platform optimized for Microsoft Azure cloud services
![DataBricks Adoption 3 logo databricks logo microsoft cuadrado 1](https://sp-ao.shortpixel.ai/client/to_webp,q_glossy,ret_img,w_638,h_528/https://www.encamina.com/wp-content/uploads/2019/08/logo-databricks-logo-microsoft-cuadrado-1.png)
- Quick and easy configuration with a single click
- Optimized workflows
- Collaborative workspace between scientists, data engineers and business analysts
- Native integration with Azure Storage services
- Azure security (enterprise level)
![DataBricks Adoption 5 como puede ayudarte databricks](https://sp-ao.shortpixel.ai/client/to_webp,q_glossy,ret_img,w_389,h_426/https://www.encamina.com/wp-content/uploads/2019/08/como-puede-ayudarte-databricks.png)
How Can DataBricks Help Your Organization?
![DataBricks Adoption 6 como puede ayudarte databricks](https://sp-ao.shortpixel.ai/client/to_webp,q_glossy,ret_img/https://www.encamina.com/wp-content/uploads/2019/08/como-puede-ayudarte-databricks.png)
Unifies work
DataBricks combines the work between Data Scientists and Data Engineers.
Standardizes the tool
DataBricks standardizes the tool to work in teams on coding projects, program on the same collaboration and development platform and take it to production from a single system.
Broad Objectives of Our Adoption Service
![DataBricks Adoption 7 potencial para tu empresa](https://sp-ao.shortpixel.ai/client/to_webp,q_glossy,ret_img/https://www.encamina.com/wp-content/uploads/2019/08/potencial-para-tu-empresa.png)
Boost your company
Discover all the advantages Azure Databricks has to offer and the potential it can bring to your company.
![DataBricks Adoption 8 mayor autonomia](https://sp-ao.shortpixel.ai/client/to_webp,q_glossy,ret_img/https://www.encamina.com/wp-content/uploads/2019/08/mayor-autonomia.png)
Offer you greater autonomy
Transfer the knowledge to the whole organization to gain autonomy in the shortest possible time.
![DataBricks Adoption 9 reduccion de periodos](https://sp-ao.shortpixel.ai/client/to_webp,q_glossy,ret_img/https://www.encamina.com/wp-content/uploads/2019/08/reduccion-de-periodos.png)
Facilitate adoption and use
Decrease the period of adoption and improve the use of the platform. Get the most out of Azure Databricks!
Specific Objectives of Our Adoption Plan
Collaboration
Professionals work together in a single environment
Security
Manage users and roles, create a workspace, etc. establishing how data connections are to be accessed, how they are to be shared, etc.
Management
Manage the whole platform from a single location, easily and intuitively
Algorithm Lifecycle
Control the lifecycle of algorithms and notebooks around Databricks and AI
Spark Cluster Self-Service
Self-Service or cluster self-governance. Define which types of clusters are to be used in each circumstance
Integration Design
Enable integration with multiple data sources
ENCAMINA Adoption Plan
![DataBricks Adoption 10 tabla databricks 2](https://sp-ao.shortpixel.ai/client/to_webp,q_glossy,ret_img,w_890,h_471/https://www.encamina.com/wp-content/uploads/2019/09/tabla-databricks-2.png)
Who is Azure DataBricks for?
Roles and Individuals
![DataBricks Adoption 11 data scientist](https://sp-ao.shortpixel.ai/client/to_webp,q_glossy,ret_img,w_982,h_1111/https://www.encamina.com/wp-content/uploads/2019/08/data-scientist.png)
Data Scientists
- They can stop worrying about data management
- Azure DataBricks ensures that the data they use in their calculations is of quality and up to date
- Data is cataloged in such a way that they can know at all times the existing information in the Data Lake to enrich their models
![DataBricks Adoption 12 data engineer 1](https://sp-ao.shortpixel.ai/client/to_webp,q_glossy,ret_img,w_982,h_1111/https://www.encamina.com/wp-content/uploads/2019/08/data-engineer-1.png)
Data Engineer
- No need to worry about managing clusters
- Easier to program data streams
- Automated workflows
- Data flow monitoring
- Automatic alerts and log acess
- Democratization of clusters
![DataBricks Adoption 13 cdp vp of analytics 3](https://sp-ao.shortpixel.ai/client/to_webp,q_glossy,ret_img,w_981,h_1112/https://www.encamina.com/wp-content/uploads/2019/08/cdp-vp-of-analytics-3.png)
CDPs, VPs of Analytics
- Fast and collaborative platform, accelerating the Time to Market
- No need for DevOps
- Self-managed security
Companies
![DataBricks Adoption 14 teamwork](https://sp-ao.shortpixel.ai/client/to_webp,q_glossy,ret_img,w_259,h_264/https://www.encamina.com/wp-content/uploads/2019/08/teamwork.png)
- Companies that want to simplify, make more flexible and streamline the entire system and data infrastructure / architecture
- Big Data development companies without a collaborative environment
- Companies that need to optimize the consumption of computing resources