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data-strategy

Conglomerate of multinational companies in various sectors

September 28, 2020 by Bluetab

Conglomerate of multinational companies in various sectors

Migrating to Big Data platforms on GCP cloud.

Our client is a conglomerate of multinational companies with significant presence in sectors such as banking and insurance, retail, hospitality, restaurants, real estate, education, administration, lottery, cinemas and services, and is considered to be one of the three most valuable brands in its region. As part of its transformation plan, it has initiated the process of migrating its systems to cloud platforms and using big data technologies.

At Bluetab Peru we have collaborated with them in defining and implementing the corporate cloud strategy and guidelines and the subsequent deployment in each of its companies. This involved defining work architectures and best practice documents in Continuous Integration (CI) and Continuous Deployment (CD), as well as implementing a use case based on DataFusion and AirFlow technologies.

Additionally, software was developed to control access to Apache Druid, and the pipeline between was deployed between Dev., Test and Prod, a metadata monitor and the integration with its Governance platform was developed.

With this, our client has successfully opened its architectures to cloud services and scalable systems to provide its businesses with efficiency and growth in data management.

SUCCESS STORIES

Filed Under: Casos Tagged With: data-strategy

Multinational energy sector utility

September 28, 2020 by Bluetab

Multinational energy sector utility

50% optimisation of AWS costs.

Our client is a multinational leader in the energy sector with investments in extraction, generation and distribution, with a significant presence in Europe and Latin America. It has undertaken a major digital transformation process in recent years, moving from a classic legacy on-premises closed architecture strategy to a strategy of flexible, non-limiting architectures based on AWS cloud platforms and ad-hoc design solutions for each use case.

Bluetab Mexico began the segregation of the use cases carried out in its HQ to adapt them to the global requirements environment. This segregation required the establishment of a Data Lake in which the various use cases are being implemented under governance models that manage the cycle from the sources and the implementation of analytical models for various business requirements.

In addition to managing the complexity of the end-to-end project and developing the models, redesigning and optimising the AWS architectures saved our client 50% of their starting costs.

CASOS DE ÉXITO

Filed Under: Casos Tagged With: augmented-analytics, data-strategy

Big Data platform security model

September 10, 2020 by Bluetab

Big Data platform security model

It is about the definition and implementation of a global model for one of the main Spanish Financial Institutions, which guarantees the security of access to the data according to the regulations that apply in each area of ​​the different entities of the group, in a homogeneous way throughout the business group. This implies the identification of sensitive data and diagnosing its physical location, trying to limit its access only to those people considered necessary and as such with access privileges to them.

For the purpose of defining the appropriate access criteria, the following types of data are determined:

  • barra-bluetab Personal keys that should only be known by the user
  • barra-bluetab Data that allows or enables fraud on its own
  • barra-bluetab Sensitive data due to the nature of being able to have an impact on the privacy of the person, and on their fundamental rights, greater protection is necessary
  • barra-bluetab Data that allows to uniquely identify a person or legal entity outside the Entity
  • barra-bluetab Information that identifies the employee in the organization
  • barra-bluetab Data for internal use, which in general are considered as the other areas of data not collected in the above

To cover the established criteria, different levels of security have been determined for:

  • barra-bluetab Objects without personal identification fields (internal use only)
  • barra-bluetab Objects with personal identification fields treated (tokenized)
  • barra-bluetab Objects with untreated personal identification fields (clear)
  • barra-bluetab Restricted access objects.

The following tools are available to facilitate individual implementation by project area: automatic labeling of existing fields and registration of new ones based on recursive neural networks, HDFS table classifier, compactor of physical files in the tables, tokenization based on the information schemes provided and a catalog of entities as a common repository in which table names are linked with their path within the HDFS.

SUCCESS STORIES

Filed Under: Casos Tagged With: data-strategy

Continuous Integration platform

September 10, 2020 by Bluetab

Continuous Integration platform

One of the most common problems for telecommunications operators is to align its various business areas as far as possible with its support areas, especially with the technology area.

To meet this need, an operator has started work on the construction of a continuous integration platform to not only facilitate the solution developer’s task, but also to be able to integrate the complete solution life cycle, from the definition of requirements by the business to the test use cases, so that they themselves validate the response the technological solution provides for their business needs. It also enables automation of much of the testing and speeds up response times. Based technologically on YouTrack, GitLab, Jenkins and Kubernetes.

SUCCESS STORIES

Filed Under: Casos Tagged With: data-strategy

Self-service reporting model in virtual desktop access in hybrid cloud

September 10, 2020 by Bluetab

Self-service reporting model in virtual desktop access in hybrid cloud

As the main data solutions partner for one of the leading financial institutions in the Spanish market, we participated with their architecture area on an innovative Business Intelligence as a Service project aimed at offering users of different areas of the bank the possibility of exploiting data using any market exploitation tool, by passing the cost of use to the area and deploying the BI tool on Public Cloud infrastructure while keeping the data governed in the Private Cloud.

For this purpose, the front end was adapted to include the service as a new resource in Sandbox Manager, performing back-end jobs for authentication of the new service with the current systems, integration with current platform monitoring and subsequent integration with AWS for provision of the Billing & monitoring service.

The final self-service report is generated under WebFOCUS, MicroStrategy, Tableau and Domo products, mainly consisting of our work in development and operation – DevOps – with automation of deployment and the initial Setup, implementation/configuration of AMIs for the various reporting products, as well as specific communication with the defined protocol and configuration of Fireglass.

SUCCESS STORIES

Filed Under: Casos Tagged With: data-strategy

Optimisation of the On-line Centre and Customer Profitability Module

September 10, 2020 by Bluetab

Optimisation of the On-line Centre and Customer Profitability Module

Encompassed within the collaboration framework with the technology area of one of the largest Spanish financial institutions is the reviewing and improvement of its Big Data processes, considering both the redesigning of the developments and reviewing of the execution environment.

To this end, a review of the production environment was carried out by performing a realignment of the parametric configuration used for the execution of the various Spark Jobs, as well as making a proposal for a redistribution of resources based on the analysis performed for the various Jobs. A review of the critical path review was performed, identifying the most critical processes in the system with the goal of optimising overall times by means of configuration, and redesigning the Big Data processes using best practices to improve their efficiency.

The project is based on Scala/Spark technology under Informatica’s Big Data Management suite, knowledge of which is a priority in making the various specific parametric configurations and modifications.

SUCCESS STORIES

Filed Under: Casos Tagged With: data-strategy

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