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Every small, medium, and large organization must develop a big data strategy uniquely suited to its business goals by setting up efficient and cost-effective big data lake infrastructure. By empowering your teams and training them in enterprise data lakes and advanced analytics you can ensure that no key decisions are made in your organization without actively considering all available, up-to-the-minute data.

At Flatworld Solutions (FWS), we believe that Big Data is a necessary foundation for upcoming technological revolutions such as AI-based Robotic Process Automation, Adaptive Machine Learning Systems, and the Internet of Things (IoT), amongst others. With more than a decade's cumulative experience, we are uniquely poised to serve as your domain-savvy technology partner with vast expertise in big data lakes solutions and consulting. Our business big data pools help us gather and access all the big data that your company may ever need and then harness the power of data science tools and technologies to accelerate your businesses transformation into a modern, insights-driven organization.

Our Big Data Lakes Solutions

Big data lake is an ideal solution for companies looking to economically harness and decipher ever-burgeoning data volumes of diverse formats into meaningful insights. With the increase in new data sources such as mobile phones, websites, and other connected devices, there is a growing requirement to move behind the conventional data warehouses and improve big data consolidation with the help of big data lakes. Our big data lake services and consulting can offer you exceptional value in various areas such as -

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New, modern forms of analytics

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Data integration and optimization

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Corporate memory retention

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Tracking and tracing data lineage for better data quality

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Setting up enterprise-wide data access controls

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Garner insights from unknown data or from data with under-appreciated value

Our services include -

Creating a Big Data Strategy

Our subject matter experts can create a well-defined big data strategy for your business.

Data Lake Implementation

Flooding a Hadoop cluster with unorganized and unmanaged data can severely hamper your big data analytics efforts. We can help you design, implement, and provide able support so that you get the best implementation strategy.

Big Data Engineering

We are adept at dealing with data lakes, ingestion pipelines, cloud platforms, and data integration for structured and unstructured data. Our approach is geared towards ensuring that our data engineering methods reduce your operational costs, discover new information and revenue sources, and speed up new product development.

Analytics and Data Science on Big Data

As part of our big data lakes services, we can help you during the modeling, materialization, and preparation of various analytical and BI tools.

Managed Services

Our managed services for big data ensure active 24/7 monitoring, maintenance of Hadoop Distribution in both local and cloud environments. We also provide optional onsite support and dedicated project managers as per the client requirements.

Big Data Training

With our expertly created training modules, we can help your employees exploit the full business value of your data. We provide both certification training and skill-based training tailored to your requirements.

Big Data Knowledge Partner Services

Big data is still in its infancy, and you need the right partner with the requisite experience and skilled enablers to help you understand the scope of your big data initiative. Our partner services can help you quickly get going while ensuring that all your requirements are met with a team of individuals dedicated to your cause.

Establishing Big Data Competencies

Our team of eminent data scientists and big data engineers have decades of experience in delivering solutions in deep analytics and machine learning and can help you set up big data competencies inline with your business and your goals.

Enterprise Data Lakes Consulting We Offer

Big data lakes are growing in importance and moving from being mere projects to becoming the core element of your data architecture. At Flatworld, we consider technology to be a strong backbone of our offerings and leverage them wisely in our solutions which include -

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Big Data Solutions and cloud hosting of SAAS services

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Partner assisting Organizations in Data Science Maturity

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Adept in Image and text-based mining solutions

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End-to-end Machine Learning based automation solutions

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Cognitive computing and deep learning

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Predictive analytics

Solution Consulting

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Big Data Lakes Architecture

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Big Data Lakes Architecture

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Data Governance and consumption solutions

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Downstream analytics use case solution approach

Corporate Training

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Basic Level - onboarding Big Data Engineers and Data Scientists

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Intermediate Level - Tool specific training and solution design

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Advanced Level - Solution architecting and development using Big Data Platform and ML tools

Technology Consulting

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Data Ingestion technologies such as Kafka, NiFi and Streaming data ingestion tools such as Flume, Spark Streaming, etc.

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NoSQL Database design and management - Cassandra, HBase, MongoDB, Neo4J

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Warehouse Data management tools such as Hive

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Workflow Management tools, for example Oozie and Luigi

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Query Layer tools such as Pig, HiveQL, Phoenix, Spark SQL, Presto, etc.

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Security and Governance layer tools including Sentry, Ranger, Atlas

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Software Programming tools such as Spark, Map Reduce, etc.

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ML tools such as Python MLlib, Mahoot, R

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Federation Tools, for example Apache Drill

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Enterprise Search tools including Solr

Our Big Data Lakes Process

For our Big Data Lake and Analytics consulting services, we initiate with a two-pronged approach that includes -

A systematic analysis of business, data and analytics at your enterprise, which will then lead to the formulation of the overall implementation strategy. This step includes -

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Customers

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Decisions

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Data

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Analytics

This is then followed by a clear road map for Data Science solutions roll-out, and focuses on -

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Use Cases

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Infrastructure

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Team

A typical Data Science journey for a financial enterprise involves the following stages -

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Customers

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Decisions

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Data

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Analytics

This is then followed by a clear road map for Data Science solutions roll-out, and focuses on -

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We start with designing and building a scalable (big) data infrastructure

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Thereafter, we help in Identifying and implementing demonstrator use cases

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We create structured plus unstructured data repositories

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We add internal data sources (e.g., from different departments) and external data sources as well such as competitor's websites, 3rd party data, social media profiles, etc.

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We empower your internal teams with requisite data science skill sets.

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We perform advanced analytics on the pooled data

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Designing further AI & Machine Learning use cases

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We help you in generating new opportunities for customer satisfaction, limiting attrition of existing customers, acquiring new customers, and growing the share of wallet for existing customers

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In time, we can help you evolve as a forerunning player in the market when it comes to data-centric intelligent decision making

However, the actual implementation of each of these steps varies significantly from enterprise to enterprise. For example -

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We start with designing and building a scalable (big) data infrastructure

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Thereafter, we help in Identifying and implementing demonstrator use cases

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We create structured plus unstructured data repositories

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We add internal data sources (e.g., from different departments) and external data sources as well such as competitor's websites, 3rd party data, social media profiles, etc.

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We empower your internal teams with requisite data science skill sets.

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We perform advanced analytics on the pooled data

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First set of use cases which need to be implemented and those from which maximum ROI can be obtained in a short time are usually different for different enterprises

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Cluster scoping, technology and application migration plans, etc. can vary significantly as do hardware and software choices

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Choices like on-premises versus cloud installation of data and computing infrastructures, when to integrate unstructured data into decision making, etc. also vary significantly

To plan these aspects systematically and correctly, we perform an initial structured study of your current and potential customers, and of the available and required data and what sort of analytics to employ in order to analyze them in the best possible manner.

Why Choose Flatworld Solutions for Big Data Lakes Solutions?

At Flatworld, we ensure that our solutions can easily integrate with third party applications that you use. We can also help you host the application on various cloud setups, whether they are internal, external or hybrid. Some of the many reasons why you should outsource big data lakes solutions and consulting to us include -

Client Success Stories

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Flatworld Provided Big Data Lake Solution to a Large Indian Banking Group

An Indian banking group availed Flatworld Solutions' Big Data Lake solutions & consulting to implement centralized data management infrastructure. Read the case study.

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FWS Provided Data Integration and Advanced Analytics to a Top Indian Bank

Read the case study to know how a top Indian bank approached Flatworld Solutions for Data Integration & advanced analytics to streamline performance & lower operating costs.

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FWS Provided Automated Data Extraction to a Leading Indian Bank

Read the case study to know how Flatworld Solutions automated Data Extraction for a top Indian Bank using data science and streamlined their processes.

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FWS Provided Information Augmentation and Graph Analytics for a Top Indian Bank

Flatworld Solutions (FWS) augmented information for a top Indian bank using Hadoop & graph analytics to identify potential clients. Read the case study.

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Success Stories

Benefits of Outsourcing Big Data Lake Services to Flatworld Solutions

Our services are ideal for clients from a variety of different verticals, and our expertise in this field ensures that your data always remains actionable and trustworthy. Our portfolio of services can easily be customized as per your needs, but offer similar benefits including -

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Competitive Pricing on different services and consulting

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A team consisting of Industry experts in the field with comprehensive knowledge of big data technology to ensure quick turnaround of strategy and solutions

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Pathbreaking technology and a bouquet of services which ensure all your requirements are met in-house and from a single service provider

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Company of experts who have trained teams in top tier organizations across verticals including CXOs; Senior Management and department heads

Hire Flatworld Solutions for Big Data Lakes Solutions & Consulting

At FWS, we have years of experience in delivering outcome-led data science solutions for our global clients by leveraging state-of-art hardware and technologies in the Big data and Hadoop ecosystem. We help you identify and prioritize high-value use cases while optimizing your current strategies to fit any requirement.

Contact us right now and learn more about our offerings and outsource big data lakes solutions and consulting services to Flatworld Solutions!

Contact Us

Big Data Lake Solutions and Consulting FAQs

To store data that is structured and unstructured in a centralized repository, Big Data comes in handy. It allows data to be saved, managed individually or collaboratively.

It allows multi-type data to be stored in a proper structure with versatility. In other words, a data lake can contain XML, logs, sensor data, conversations, and profiles with flexible schema.
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Flatworld Solutions

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