Data Lakes
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Data Lakes : An overview
A data lake is an immensely capable and flexible data repository that can store structured as well as unstructured data. Structured data such as tables can be stored alongside the raw data as well as the intermediate data generated when the raw input was being refined.
Data lakes are powerful enough to process all sorts of structured as well as unstructured data. They enable organizations to store massive data at far lesser costs, and effectively utilize open formats to make a wide range of data available for processing to data scientists and analysts.
Featured
- Enable big data insights to meet business objectives
- Leverage previously unavailable capabilities and insights
- Drive and implement data driven decision making in business problems
Most businesses today are struggling to arrive at the right information management strategy that could accelerate decision making by providing quick insights. Crafsol helps you to formulate uncomplicated strategies to leverage big data. The unique approach focuses on using the right data points, rather than every available data point, to generate relevant feeds of insights. Crafsol helps businesses to conceptualise and implement a out-of-the-box big data engineering program across multiple domains and focus areas.
Advantages of data lakes
Flexibility at low cost
Data lakes utilize open formats to process all sorts of data and make it available for analysis and machine learning at a very low storage cost.
Ease of access and collaboration
Data lakes make collaboration easier by bringing all data in one place. This avoids problems such as duplication of data or having to collect bits of data
Command over all formats
A data lake can process structured as well as unstructured data across all formats ranging from
Flexibility at low cost
Data lakes utilize open formats to process all sorts of data and make it available for analysis and machine learning at a very low storage cost.
Ease of access and collaboration
Data lakes make collaboration easier by bringing all data in one place. This avoids problems such as duplication of data or having to collect bits of data
Command over all formats
A data lake can process structured as well as unstructured data across all formats ranging from
Services We offer
- Proven smart factory transformation
- access & services Integrate existing data sets and tools with advanced solutions.
- and enable seamless adoption of data lake across the organization.
- o Evaluate/ prototype tools and technologies to find the best-fit solution.
Our Specialities
Create a reservoir for
enterprise, social, and device information.
Rapid decisions
Drive faster and accurate decision making
Enable data governance
and enterprise-wide access controls
Reduce the time to
access and locate data to accelerate preparation and reuse
Projects & Solutions
Built an ecosystem for a major healthcare company to improve operational efficiencies and increase the bottom line.
Empowered by over 200+ sensors and intepretors for One of India’s biggest chemicals processing company.
Designed and built a data
analytics platform to completely assess risk and possibilities for one of the largest Insurance company.
Built a data lake for
the largest non goverment organisation to optimize their path-to-purchase analytics and increase membership
Data Lake for
for biggest investment banking company for generate and predict excellent investment recommendation
Quantitive Understanding
Quantitive Understanding
2. Home use testing (HUT)
3. Benchmarking and category reviews
4. Claims substantion
Quantitive Understanding
Quantitive Understanding
Home use testing (HUT)
benchmarking and category reviews
claims substantion
Quantitive Understanding
Quantitive Understanding
Home use testing (HUT)
benchmarking and category reviews
claims substantion
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