Big Data Consulting Services & Analytics Solutions

Make data-driven decisions, unlock valuable insights from your data
Big data analytics are demonstrated in this graphic.

Our Big Data Consulting & Big Data Analytics Solutions help support sudden increases in volume, variety, and velocity of data.

With data growing exponentially, businesses are struggling to make sense of this massive data and are looking out for best practices that can help develop future business strategies. We help enterprises strategize and implement the data flow – from the collection of raw data to the consumption of actionable information. A well-defined big data strategy can help organizations reduce costs and gain operational efficiencies by migrating heavy existing workloads to the cloud and deploying new applications to capitalize on new opportunities.


Become a Data-Driven Organisation, choose Flentas for your end-to-end Big Data Services

Choose from Our Big Data Services Capabilities

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Big Data and Analytics Consulting and Strategy

Define Big data strategy

Big Data tools mapping

Architectural consulting

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Setting up Infrastructure for Analytics/ Big Data

Scalability of Infrastructure

Low Latency Resources

Data Optimization

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Building end to end solution for Big data

Data Pipeline

Data Storage

Managing Big Data Stack

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Development of data intensive analytics product

Off the shelf BI Tools

Predictive Analysis

Custom Dashboard Development

We enable efficient data collection, accelerated AI workloads, & smoother cloud integration

Build AI models
Intelligent data and analytic asset discovery
Machine Learning

Discover How Big Data Services can Help your Business Grow

Our product thinking approach, focus on commitment to technical excellence, and business benefits has helped businesses extract value from data, further assisting companies to maintain a high level of user engagement and stay relevant with changing market demands.

AWS DevOps Certificate Data Management Our Data engineers have hands-on experience with large-scale data management. From creating, managing, and migrating data lakes with the use of the latest technology, thereby optimizing storage costs.
AWS DevOps Certificate DataOps in Big Data Flentas’ DataOps services include automation methodologies that help with efficient data lifecycle management that improves data quality for better data access for the entire organisation.
AWS DevOps Certificate BI & Analytics BI & Analytics at Flentas help develop customized dashboards and engineer real-time visualization as per data requirements. We leverage the most popular BI tools and have the expertise to build custom platforms using open source technologies.
AWS DevOps Certificate Data Science Our Data Scientists help enterprises with analysis of data, model validations and creating custom intelligence platforms. Clients prefer our Data Science capabilities to better understand their customers and discover newer business opportunities.

Big Data Analytics Implementation Approach

The Big data ecosystem is huge and to cope with this entire ecosystem, right from identifying, gathering, managing and analysing the data, every business requires a dependable big data analytics strategy.

The woman is defining the data source and data flow in this picture.

Define Data Sources

Big data comes in from internal and external sources. Internal sources include data that the company owns and controls. Whereas, external data is data generated outside the company, this may include data coming in from social media platforms, transactions made etc. that can be put to good use. Our Big Data experts will help define the data sources that are most important to your line of business.

This image depicts a man and a woman holding equipment for data collection and storage.

Data Collection & Storage

Gathering and storing such huge amounts of data requires organizations to invest in physical data centers as well as cloud services that will enable them with easy access to data from anywhere. We help you find the right storage solution for your business after analyzing your data storage requirements, thereby, helping you transform your business.

In this image, the information from the cloud is ETL (Extract, Transform, load).

ETL (Extract, Transform, load)

ETL plays a critical role in data integration for analytics, which is why it is important to use the right techniques and procedures that will prepare the data for use in Business Intelligence. We constantly update and add new transformation capabilities as and when data sources evolve. Moreover, we are with you during each step of the ETL process, right from data extraction, data cleaning, data transformation, data loading, managing the ETL process until the data staging area wherein the data is made available to take over onto the next step.

This picture depicts a data lake or data warehouse.

Data Lake / Data Warehouse

This centralized repository also known as the data lake will simply enable you to store all your data, making it easy by removing the complexities of ingesting data and helping you resolve scalability challenges. Once we have analyzed your organization’s data requirements, we help you with building a data lake that enables easy and real-time data movement, machine learning insights, making it easy for you to run analytics.

This photo displays data visualisation and analytics.

Data Visualisation / Analytics

The final step in our big data analytics approach is focused on providing you with end-to-end data visualization solutions, using big data visualization tools and techniques that can unlock silos of information leading to efficient data driven insights that help improve decision making across every department in your organization. We also provide advisory and support services that will help resolve any data visualization challenges enabling development of real time dashboards.


Big Data Technology Stack

Distributed Storage

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Data Warehouse

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Data Security

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Big Data Processing

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Machine Learning

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Programming Languages

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AWS DevOps Certificate
This is the 360 VUZ company logo.
This is the iball logo.
This is the logo of ketto, a client of Flentas Technologies.
This logo is used by flentas technologies' client UPL.
This is the 360 VUZ company logo.
This is the iball logo.
This is the logo of ketto, a client of Flentas Technologies.
This logo is used by flentas technologies' client UPL.
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We create success stories that are born in the cloud

Flentas is a cloud consulting company, focused on digital transformation. We help companies across various industries innovate with cloud technology by implementing a cloud experience for all your workloads. Leverage our cloud solutions for extraordinary performance, robust security, and scalability.

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FAQs

Why do businesses require Big Data Solutions?

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Big data helps organizations make efficient business decisions. Big data solutions enable organizations to harness insights regarding their businesses and market. Data management enables establishing the right processes that help minimize potential errors and resolve critical issues leading to decisions made across the organization.

What is Streaming Data?

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Streaming data comes in small sizes as data records from multiple data sources are produced every second. It includes a variety of data that is processed further for analysis. It is also known as event stream processing and is best suited for real-time analytics.

What are the most common Big Data challenges?

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Improper understanding of Big Data, Not storing historical data, Managing data growth, being unsure of which big data tool to use, Lack of skilled data resources on board, Data silos, and poor data quality are just some of the many challenges. Hence, having a big data strategy is of utmost importance and executing it appropriately.

What's the critical difference between a Data lake Vs. a Data warehouse?

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Data Lake includes a large pool of raw data. A data warehouse consists of a repository of structured data filtered for specific usage.

What is the importance of the Cloud in Big Data?

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You can view large data sets in the cloud very quickly compared to physical data storage systems. Cloud is also used on-demand and uses the pay-as-you-go model, and does not require businesses to build infrastructure from scratch. Therefore, having cloud technology makes life easier for businesses as it makes big data technologies accessible and affordable.

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