Lingaro’s Data Lakes process data at scale, fast, with visual reporting, exploratory analysis, and with point-and-click accessibility; supporting every business user – not just data scientists or IT staff.
Modern challenges with data are major bottlenecks:
Concerns and questions frequently asked by our clients:
“Should I get rid of all commodity DW solutions when moving to Cloud and Data Lake?”
“Our problem seems to be that we are building data as part of projects in isolation.”
“Should all the structured, precalculated and pre-aggregated data from EDW be loaded to Data Lake?”
“How to implement an effective Data Governance Policy?”
“I still do not see how I would avoid siloed data with Data Lake.”
“How can we improve performance with DL and DW solutions?”
“If we load all the data, there is a high chance of creating lots of duplicates. Should we care?”
“With time, I’d expect the same complexity as with the traditional Data Warehouse approach.”
“Do you have to have the end state in mind while building the Data Lake?”
“Why is Data Lake more flexible?”
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Lingaro partners with clients to overcome even the most complex Data Lake challenges. Regardless of your current deployment stage, we are able to accelerate your time-to-value. Our best practices have been acquired by executing Data Lake projects of all sizes, from global rollouts to one-off optimizations.
We provide Data Lake platform and data governance consulting that ensures:
Security
Proper data governance and data management
Democratized access to data with elimination of data silos in the organization
Data security ensured for each level of data sensitivity (e.g. PII data) with access rights granted by business role
Usability
Easier experimentation and better business focus with a use-case-based approach
A single view of up-to-date KPIs, based on data smoothly drawn from multiple sources, supporting crucial decisions
Trusted master data, meeting specific local needs without compromising global reporting capabilities
Efficiency
Flexibility for users to run improved analytics on raw data with better insights and understanding in the future
Quick delivery of integrated datasets for data science, advanced analytics, and BI applications
Seamless integration of existing data processes with new data from BI applications
Savings
Effective data integration that makes it easy to translate raw data into actionable insights with leading self-service BI tools
Long-term cost savings in terms of infrastructure / hardware and their support
A Data Lake that can be incorporated into the current IT landscape with data hubs and data warehouses
Lingaro believes that adoption is a key business aspect to every analytics solution, including Data Lake implementations. Without a clear understanding of the benefits, Data Lakes hold a high risk of failure.
Therefore, by implementing Lingaro’s Adoption-First Method, we make sure that strategic requirements are covered, and that the solution is used from its first days. We develop a strategy and roadmap for Data Lake expansion and start the implementation from a chosen business function (i.e. sales, supply chain) MVP.
Benefits:
With the right Data Lake, advanced analytics and BI solutions can be launched faster and dramatically reduce time-to-insights. Key benefits include:
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Lingaro has more than 10 years of experience in incorporating cloud environments and implementing Big Data and Data Lakes. Building applications in the Cloud minimizes capital expenses incurred before the development is made. We build solutions with scalability and performance in mind, ensuring that the delivered solution can be extended to new markets and regions faster, more securely, and without performance interruptions.
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We offer a unique mixture of startup agility and operational excellence of a mature organization
We offer proven tracks of successful delivery of DevOps services to global customers
We deliver impressive improvements through a unique approach towards DevOps services
We deliver services tailored towards actual customer needs