Cloudera partner in Paris, France
Deploy real-time Big Data analytics on public-private clouds with a privacy-first architecture.
Adaltas is a long time partner of Cloudera with a large track record of solutions going to production.
We integrates the Cloudera distributions with our customer IT infrastructure respecting industry best-pratices including automated deployments, end-to-end security, and high-availability. Our data engineers and data scientists are training to use and leverage the various components of the Cloudera big data platforms.
Discover Cloudera with Adaltas
With the objective to promote Cloudera in your company, we offer 2 days of consulting to our new customers.
Contact us for a detailed presentation of the Cloudera platform and its potential impact in the context of your projects.
Combine public and private clouds
Cloudera is leading the Hybrid Data Cloud battle in the IT department and building new, easy-to-use cloud solutions.
Public Cloud
- Support for the major Cloud provider, AWS, Azure, and GCP.
- Cloud infrastructure agnostic and easily portable applications.
- One platform to serve all data lifecycle use cases with a unified security and governance model
Unified Analytics practice
- For data science, data engineering and analytical use cases
- Accessible to technical and business users
- Unified platform that eliminate silos and speed the discovery of data-driven insights
Innovation and data-driven culture.
- A shared data experience that applies consistent security, governance, and metadata
- True hybrid capability with support for public cloud, multi-cloud, and on-premises deployments
Methodology and roadmap for success
Adaltas works with your team to leverage the Cloudera platform with a comprehensive Methodology. Our experts are certified with Cloudera as well as with the major Cloud providers including Microsoft Azure, Amazon AWS and Google GCP.
Qualify the use case
- What is the business challenge today.
- What is the business outcome and value you are hoping to achieve.
Qualify the data
- Is the data in the cloud?
- Describe the data: type, size, format, speed, ...
- Understand the complexity of the Big Data the client is working with.
Qualify the solution
- Describe the current technology ecosystem and data pipeline architecture.
- Who are the data users? (data scientits, data engineers, business users)
State-of-the-art platform for analytics and AI in the cloud
The extensive Spark ML libraries and integration with popular frameworks such as Tensorflow, PyTorch, etc. make Cloudera the market leader among AI platforms. Additionally, the introduction of MLFlow has made managing the machine learning lifecycle easy and productive.
For Data Analysts
- Apache Hive to transform and analyse complex, multi-structured data scalable in Cloudera environments.
- Apache Impala for real-time interactive analysis of the data stored in Hadoop using a native SQL environment.
For data engineers
- Load, transform, cleanse, join, explore, and analyze data.
- Create, execute, manage, operate and optimize dataflows on a comprehensive plateform.
For data scientists
- Enterprise data science and machine learning using Apache Spark and your favorite libraries.
- Leverage the Cloudera Data Science Workbench (CDSW) to deliver end-to-end data science and machine learning workflows.
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