DataBricks Adoption: Adopt Azure DataBricks Analysis Service in Your Company
Fast, simple and collaborative Big Data based on Apache Spark
What is Azure + Databricks?
Azure Databricks is an Apache Spark based analytics platform optimized for Microsoft Azure cloud services
How Can DataBricks Help Your Organization?
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.
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Broad Objectives of Our Adoption Service
Boost your company
Discover all the advantages Azure Databricks has to offer and the potential it can bring to your company.
Offer you greater autonomy
Transfer the knowledge to the whole organization to gain autonomy in the shortest possible time.
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
Who is Azure DataBricks for?
Roles and Individuals
Data Scientist
- 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
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
CDP, VP of Analytics
- Fast and collaborative platform, accelerating the Time to Market
- No need for DevOps
- Self-managed security
Companies
- 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
Do you want us to help you?
You just need to give us your name or your email,and we'll get in touch with you to tell you more about how we can help you.