We couple big data consulting expertise and Hadoop’s unique method of distributed data storage to enable an almost limitless data processing scalability.
Our Hadoop consultants can assess your existing Hadoop deployment, detect bottlenecks, and suggest improvements. You will get a comprehensive report on the state of your clusters and architecture in order to realize Hadoop’s full potential.
lflexion’s Hadoop consulting and development specialists deliver optimal cluster structures, help you set up a cloud environment, design the architecture, and configure all the required software and hardware while ensuring the resource-efficiency of the deployment.
Whether you want to manage your big data sets with Hive, implement a real-time streaming solutions with Kafka, or speed up data analytics with Spark, our development company provides seamless integration of Apache Hadoop technologies with your existing IT ecosystem.
Our developers optimize the performance of your existing Hadoop implementation by ensuring load balancing and low operational latency, improving server utilization, and upgrading nodes to guarantee data security and system stability overall.
Hadoop & Cloud Technologies We Work With
Our big data engineers and data scientists’ proficiency in Hadoop modules and associated Apache projects helps them tailor the component choice right to your project scope and goals.
Our Hadoop consulting services include analyzing your particular business case to orchestrate the Hadoop framework in a way that brings maximum value in line with the purpose and expected results. These are the big data and analytics use cases where we’ve seen companies we provided services to benefit from deploying Hadoop:
Big Data Management
Distributed big data storing
Query response time optimization
Data processing acceleration
Company-wide data availability
Equipment failure prediction
The Value of Hadoop Development by Industry
Our Hadoop consulting and development company provides comprehensive services helping companies across multiple industries to increase productivity, enhance data security, and reduce operational costs through this powerful framework.
Accelerate decision-making and improve transaction security with Hadoop-based big data analytics.
Detect fraudulent patterns
Assess customers’ credit risks
Streamline KYC procedures
Get hold of money-laundering practices
Turn data coming from a multitude of IoT devices and smart grids into operational insights.
Prevent equipment failure
Forecast meteorological variables
Optimize resource utilization
Improve digital experience and sales through data-driven personalization and customer behavior analysis with Hadoop.
Analyze sentiment across the web
Implement dynamic pricing systems
Analyze both structured and unstructured health data to deliver the best quality care, reduce administrative costs, and speed up clinical research.
Enhance patient care and communication
Detect fraudulent insurance schemes
Analyze facility and asset use patterns
Consolidate all big data coming from warehouses, fleet, managers, and clients into one intelligence ecosystem to discover new profit opportunities.
Optimize routes and schedules
Analyze fleet condition for preventive maintenance
Increase warehouse management efficiency
Accurately estimate risks and delays
Apply Hadoop to harness the power of big data to streamline production workflows and decrease operational costs.
Improve product quality
Predict downtime and machinery failure to optimize maintenance
Find out how Hadoop solution can help you make the most of your big data. Get a free consultation.
The Hadoop Distributed File System enables storing voluminous amounts of data across hundreds of clusters, allowing for an unprecedented level of scalability. When you need to handle more data, we will add nodes easily.
Hadoop-native technologies like Apache HBase will help your company’s existing BI and visualization solutions interact with data that is stored on Hadoop. You won’t need to disrupt your ongoing data analytics flows as our team will ensure continuous data accessibility.
Compared to more traditional relational databases, Hadoop can store all types of data with no data preprocessing required. This is why Hadoop is a perfect solution for dealing with large amounts of unstructured data such as found in communication logs, emails, or social media.
Security by Design
Hadoop’s way of storing data is naturally fault-tolerant. Anytime new datasets are created, its replicas are stored on multiple nodes. In case of a hardware failure, the information remains integral, saving you the trouble of allocating extra resources for data security provision.
Hadoop is a free open-source framework that is compatible with low-cost commodity hardware. When you need to speed up data processing to minimize costs further, we can also help you upgrade from the default MapReduce to newer engines like Apache Tez or Apache Spark without compromising stability.