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
Scalability of Infrastructure
Low Latency Resources
Managing Big Data Stack
Off the shelf BI Tools
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.
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.
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.
Ganesh SahaniGeneral Manager IT, Spartan
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 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.
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.
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.
Data Lake includes a large pool of raw data. A data warehouse consists of a repository of structured data filtered for specific usage.
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.