Data Lakes

A good data lake can accelerate an organization’s journey towards advanced analytics by enabling value-added data innovation and exploration. Effective data lakes are built with business perspective, proper data management, and scalable capacity.

Data lakes from Lingaro process data fast at scale with visual reporting, exploratory analysis, and point-and-click accessibility that truly supports every business user – not just data scientists or IT staff.

Data Lakes,
With the Right Technology,
Offer Clear Value

By running them on the right data lake, companies can achieve faster time-to-insights and time-to-market for their advanced analytics and BI solutions. Our biggest data lake project to date has been for a well known FMCG company. The top benefits cited by its users are:

BI/analytics for the data lake increases the number and value of advanced analytics for business users

Better enables better day-to-day decisions, and quicker reactions to changing market trends

Crucial data and KPIs from different sources are easily accessible in one view

Support for faster, more advanced analysis and trends investigation

Data reporting, extraction and analysis are all possible faster and at scale with one tool

Reports can be accessible from anywhere on various types of devices, giving opportunity to see up-to-date data on PCs, smartphones, and tablets

Check out biggest Data Lakes project delivered for one of the most well recognized FMCG company

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Lingaro Case Study

Trusted Technology Partner

Lingaro serves for its clients as a technology partner who can address complex data lakes challenges. No matter what stage of data lakes deployment your company is we are able to speed up your time-to-value by bringing the best practice learnt from the biggest global data lakes projects as well as small scale projects.

We deliver data lakes platform and consulting
on data governance that ensure:

Security

Proper Data Governance and data management

Democratized access to data & elimination of data silos in the organization

Data security ensured for each level of data sensivity (eg. PII data) with access align to business role

Usability

Easier experimenting and focus on business value by going form use cases approach

Smooth data updates that allow users to see KPIs that are crucial for decision-making in one view – even if they are from different sources

Trusted Master data meeting both locally-specific needs with respecting ability for global reporting.

Efficency

Elasticity with data stored in raw format – business users can refine it as the understanding and insight improves

Speed of getting data & insights – fast time to value and delivery of integrated datasets for Data Science, Advance Analytics and BI applications

Orchestration of data processing for faster and smooth operations and data delivery

Savings

Data integration from raw data to actionable insights with self-service Bi for user-friendly consumption in chosen leading BI technologies.

Long-term cost savings in terms of infrastructure / hardware and their support

Data Lake that can be incorporated to current IT landscape with data hubs and data warehouses, with scalability powered by cloud architecture

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Lingaro Whitepaper

Lingaro serves for its clients as atechnology partner who can address complex data lakes challenges

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We can help you…

Get the most out of your Data Lake Solution and get the most out of all digital data you are gathering no matter in which format

Take full advantage form emergent BI technologies and Advanced Analytics powered by AI and ML

Build Foundation for Data Infrastructure truly support your strategy not stand-alone platform

From technical audit to Operational Excellence and support in DevOps model

By 2021, enterprises using cohesive strategy incorportating data hubs, lakes and warehouses will support 30% more use cases than competitors.

To build solutions that best serve business users and allows to take full adventage from available data Lingaro provide end to end support on the process to becoming more data-driven: from technical audit which allows to understand current bottlenecks identify gaps and propose needed level of IT Landscape transformation that will support business goals through delivery of the scalable Data waerehousing and BI solutions in line with identified gaps and needs to operational support of the solutions with ensurement of constant Operational Excellence with continuous delivery and improvement.

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Lingaro Case Study

Here are examples on how the Data Lake may be implemented using tools from two major Cloud providers – Amazon Web Service (AWS) and MS Azure.

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Governance & Management of the cloud resources

We can observe that with constantly increasing amount of cloud resources and services in place and demand for them, companies still struggle with providing required resources to the users in timely manner. Process of cloud resources provisioning takes weeks to fulfill enterprise compliance rules, policies and security requirements causing delay in time-to-market for cloud-based solutions and Advanced analytics.

We can bring experience and best practice for your cloud governance and management operations. Lingaro help companies in automating cloud provisioning and keep utilization and costs control with Cloud Management Platform. Tailored to specific companies policies and rules automated solution reduce time to market from weeks to minutes enabling faster experimentation for data scientists and analysts as well as faster BI solution delivery with ensurement of security and enterprise regulatory standards compliance. Automated process free up IT support team from highly repetitive, time-consuming manual work of provisioning resources and simplify process of maintaining and updating cloud components so they can focus on operational excellence of their support to even better serve business needs.

See how helped leading global company to build Fully Automated Self-Serve Cloud Provisioning Portal

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Lingaro Case Study

From technical audit to Operational Excellence and support in DevOps model

By 2021, enterprises using cohesive strategy incorportating data hubs, lakes and warehouses will support 30% more use cases than competitors.

To build solutions that best serve business users and allows to take full adventage from available data Lingaro provide end to end support on the process to becoming more data-driven: from technical audit which allows to understand current bottlenecks identify gaps and propose needed level of IT Landscape transformation that will support business goals through delivery of the scalable Data waerehousing and BI solutions in line with identified gaps and needs to operational support of the solutions with ensurement of constant Operational Excellence with continuous delivery and improvement.

Download
Lingaro Case Study

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Machine Learning & AI

In order to automate and speed up processes around data as well as help you with going ahead in data economy we deliver solution that use Advanced Analytics powered by AI and Machine Learning. We can help you with both: supporting your in-house data science team as well as build for you end-to-end solutions that will help your company to growth using the newest technology approach.

Machine Learning & AI

We will help you with architectural considerations for Empowering Advanced Analytics at your company as well as proper data strategy and management. We have proven expertise and experience in delivering required end-to-end capabilities to take full advantage on all types of data. We are experts in both building traditional data warehouses and Data Lakes (one of biggest MSN Azure projects) both on cloud and on premise.

Lingaro approach to data-lake development can help your company launch analytics programs quickly and establish a data-friendly culture for the long term.

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