HADOOP CONSULTING

We deliver end-to-end Hadoop implementation services to improve data-driven decision making and create space for your business growth.

Discover how our Hadoop expertise can help
drive your business forward

Our Hadoop Consulting Services

Leverage Iflexion’s big data expertise coupled with Hadoop’s unique method of distributed data storage to enable an almost limitless data processing scalability.

Hadoop Audit

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.

Hadoop Implementation

lflexion’s Hadoop developers build 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.

Hadoop Integration

Whether you want to manage your big data sets with Hive, implement a real-time streaming solution with Kafka, or speed up data analytics with Spark, our team provides seamless integration of Apache Hadoop technologies with your existing IT ecosystem.

Hadoop Maintenance

We 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.
  • Hadoop Distributed File System (HDFS)
  • Hadoop MapReduce
  • Hadoop YARN
  • Hadoop Common
  • Apache Spark
  • Apache Hive
  • Apache HBase
  • Apache Kafka
  • Apache Cassandra, etc.
  • AWS
  • Google Cloud
  • Microsoft Azure

Hadoop for Your Business Use Case

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 our clients benefit from deploying Hadoop:

Big Data Management

  • Distributed big data storing
  • Query response time optimization
  • Data processing acceleration
  • Company-wide data availability

Data Analytics

  • Fraud detection
  • Risk analysis
  • Churn analysis
  • Sentiment analysis
  • Equipment failure prediction 

Personalization

  • Ad targeting
  • Recommendations
  • Pattern recognition
  • Predictive modeling

The Value of Hadoop Development by Industry

Our Hadoop development company helps organizations across multiple industries to increase productivity, enhance data security, and reduce operational costs through this powerful framework.

Finance

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

Energy

Turn data coming from a multitude of IoT devices and smart grids into operational insights.
  • Prevent equipment failure
  • Forecast meteorological variables
  • Optimize resource utilization 

Ecommerce

Improve digital experience and sales through data-driven personalization and customer behavior analysis.
  • Decipher churn
  • Analyze sentiment across the web
  • Enhance recommendations
  • Implement dynamic pricing systems
 

Healthcare

Analyze both structured and unstructured health data to improve quality of care, reduce administrative costs, and speed up clinical research.
 
  • Improve diagnostics
  • Enhance patient care and communication
  • Detect fraudulent insurance schemes
  • Analyze facility and asset use patterns

Logistics

Consolidate all 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

Manufacturing

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
  • Reduce waste
  
Find out how Hadoop can help you make the most of your big data.
Get a free consultation.

How We Make the Most of Hadoop

Infinite Scalability

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.

Hassle-Free Integration

Hadoop-native technologies like Apache HBase will help your company’s existing BI and visualization tools 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.

Flexibility

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.

Cost Efficiency

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.

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