Big Data Consulting Services & Analytics Solutions
Make data-driven decisions, unlock valuable insights from your 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.
Choose from Our Big Data Services Capabilities
Define Big data strategy
Big Data tools mapping
Architectural consulting
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Scalability of Infrastructure
Low Latency Resources
Data Optimization
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Data Pipeline
Data Storage
Managing Big Data Stack
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Off the shelf BI Tools
Predictive Analysis
Custom Dashboard Development
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.
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.
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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.
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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.
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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.
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.
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.
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.
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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 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.
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.
Flentas provided exceptional support during our AWS Outposts
transition with invaluable expertise. Their seamless migration
process showcased their extensive AWS knowledge. I strongly
recommend Flentas for top-tier cloud services.
Flentas has been an integral technology partner from design
inception to building and managing our Enterprise Applications
and infrastructure on AWS Cloud.
Our Online Games have become more stable than ever, thanks to
team Flentas for helping us re-architect, migrate and manage our
backend services on the cloud
Vikash Jaiswal
Founder, Ludo King
A phased approach to continuous delivery is not only
preferable; it’s infinitely more manageable, and working with
Flentas has made this possible for us.
Zaheer Adenwala
CTO, Ketto
Flentas does a number of things right, and definitely much
better than anybody else we met. All in all, we couldn’t have
asked for a better experience.
Ritesh Tilani
CEO, JoiGifts
Really liked the whole experience right from planning,
designing, implementation and delivery. The timeliness and
professionalism spoke a lot about their maturity and experience
around delivering Cloud based projects.
Sameer Joshi
Cloud Solution Architect, Aditya Birla Group
Managing daily releases of 20+ micro services across different
environments has never been a breeze. Thanks to team Flentas for
helping us implement automatic release pipelines on cloud.
Yogesh Tripathi
VP Technology, 63 Moons
Barely moving servers on the cloud didn’t make sense. Flentas
helped re-architect the IoT backbone of our products on the
cloud for increased scale, performance and optimized cloud
spend.
Ibrahim Agha
IT Head, iBall
There are very few players in the Industrial IoT space who
understand ground level needs and solid solution capabilities on
cloud. We were able to quickly integrate Flentas’ IoT Gateway
with our construction Hoist PLC and fetch critical KPIs for our
O&M systems
Ganesh Sahani
General Manager IT, Spartan
Super dynamic team, very easy to work with and extremely
knowledgeable in their field. We had the pleasure of working
with them for an AWS Consulting project and they did a great
job.
Arjun Gupta
Courseplay
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.
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.
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.
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.
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.
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.
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.
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.
