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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

AWS DevOps Certificate

Big Data and Analytics Consulting and Strategy

Define Big data strategy

Big Data tools mapping

Architectural consulting

AWS DevOps Certificate

Setting up Infrastructure for Analytics/ Big Data

Scalability of Infrastructure

Low Latency Resources

Data Optimization

AWS DevOps Certificate

Building end to end solution for Big data

Data Pipeline

Data Storage

Managing Big Data Stack

AWS DevOps Certificate

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

AWS DevOps Certificate
AWS DevOps Certificate
AWS DevOps Certificate
AWS DevOps Certificate

Data Warehouse

AWS DevOps Certificate
AWS DevOps Certificate
AWS DevOps Certificate
AWS DevOps Certificate
AWS DevOps Certificate

Data Security

AWS DevOps Certificate
AWS DevOps Certificate
AWS DevOps Certificate

Big Data Processing

AWS DevOps Certificate
AWS DevOps Certificate
AWS DevOps Certificate
AWS DevOps Certificate
AWS DevOps Certificate

Machine Learning

AWS DevOps Certificate
AWS DevOps Certificate
AWS DevOps Certificate
AWS DevOps Certificate
AWS DevOps Certificate

Programming Languages

AWS DevOps Certificate
AWS DevOps Certificate
AWS DevOps Certificate
AWS DevOps Certificate
This is the 360 VUZ company logo. 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 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.
Trusted by some of the most innovative startups and enterprises Spanning various industries including Financial Services, Manufacturing, and Gaming
Our Happy Customers It's not just quality customer service that we provide, but our focus on delivering the best cloud solutions resulting in business returns that all our customers enjoy is what makes them happy and us happier.

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

What is Big Data, and how is it different from traditional data processing?

AWS DevOps Certificate

Big Data refers to large volumes of structured, semi-structured, and unstructured data that cannot be effectively processed using traditional data processing techniques. Unlike conventional data, Big Data is characterized by its volume, velocity, variety, and veracity, requiring specialized tools and technologies to analyze and extract insights.

How does Big Data analytics benefit organizations?

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Big Data analytics enables organizations to gain valuable insights from large and diverse datasets, leading to data-driven decision-making, improved business intelligence, enhanced customer experiences, personalized marketing strategies, predictive analytics, fraud detection, and operational efficiency optimizations.

What are the critical challenges in managing and processing Big Data?

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Some key challenges in managing and processing Big Data include data quality issues, scalability of infrastructure, data integration complexities, security and privacy concerns, regulatory compliance, talent shortages in data science and analytics, and selecting appropriate tools and technologies for specific use cases.

What are the best practices for implementing a Big Data strategy?

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Best practices for implementing a Big Data strategy include defining clear business objectives and use cases, assessing data quality and reliability, selecting appropriate tools and technologies based on requirements, establishing data governance and security measures, implementing scalable infrastructure, fostering cross-functional collaboration, and continuously evaluating and optimizing processes.

What are the emerging trends in Big Data services and technologies?

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Emerging trends in Big Data services and technologies include the adoption of edge computing for processing data at the network edge, the integration of artificial intelligence and machine learning into Big Data platforms, the rise of serverless architectures for data processing, the use of blockchain for data security and transparency, and the development of hybrid and multi-cloud data strategies.

How can organizations ensure data privacy and compliance when dealing with Big Data?

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Organizations can ensure data privacy and compliance in Big Data initiatives by implementing data encryption techniques, anonymizing sensitive data, implementing access controls and authentication mechanisms, conducting regular security audits, complying with data protection regulations such as GDPR and CCPA, and educating employees about data privacy best practices.

What is the importance of the Cloud in Big Data?

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The Cloud is essential in Big Data for its ability to store massive amounts of data at a fraction of the cost of physical data storage systems. Additionally, the Cloud operates on-demand, uses the pay-as-you-go model, and eliminates the need to build infrastructure from scratch. This accessibility and affordability of cloud technology make it easier for businesses to leverage big data technologies and quickly analyze vast amounts of data for insights and decision-making.

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