The Blueprint of Trust: Our Global Compliance Framework
Ksolves: Your Trusted Hadoop Consulting Company
Ksolves is a trusted Hadoop consulting company that global enterprises, mid-size businesses, and high-growth startups rely on for end-to-end big data delivery. Our certified Hadoop consultants bring hands-on expertise across HDFS, YARN, Hive, HBase, and Spark-on-Hadoop workloads, covering cluster architecture, data pipeline engineering, security, and 24x7 managed operations from delivery centers in the USA and India.
As one of the established Hadoop consulting firms in the big data space, we handle the full lifecycle: greenfield cluster deployments, legacy platform upgrades, and modernization of aging Hadoop environments into governed, high-performance data platforms that keep pace with growing data volumes and evolving compliance needs.
Our Hadoop
Consulting Services
Ksolves provides the full spectrum of Hadoop consulting services, covering strategy, architecture, development, governance, and managed operations.
Hadoop Strategy & Architecture
We assess your current data landscape and design a future-state Hadoop architecture tailored to your data volumes, workloads, and compliance requirements. Our consultants define HDFS storage strategy, YARN resource allocation, node sizing, and replication policies before a single line of code is written.
Hadoop Implementation & Cluster Setup
Our certified consultants execute structured, low-risk Hadoop deployments, including cluster provisioning, NameNode high availability configuration, YARN capacity scheduling, and end-to-end testing. We ensure your cluster is production-ready, fault-tolerant, and aligned with your business SLAs from day one.
Legacy System Migration to Hadoop
Migrating from traditional RDBMS, mainframes, or on-premises data warehouses? Ksolves builds a detailed migration roadmap using Sqoop or modern Spark-based ingestion for structured data, distcp for bulk data transfer, and schema redesign for HDFS and Hive, minimizing downtime and data loss throughout the transition.
Hive & HBase Development
We design and optimize Hive data warehouses with partitioning, bucketing, and ORC/Parquet columnar storage for fast analytical queries, alongside HBase schema design for low-latency, random-access NoSQL workloads at scale.
Data Pipeline & Workflow Development
We build and maintain reliable ETL and ingestion pipelines, whether that means supporting existing Sqoop and Flume-based workflows or modernizing them with Spark-based or CDC-driven ingestion, orchestrated through Oozie or Airflow, with built-in monitoring and alerting.
Security, Governance & Compliance
We configure multi-layer security frameworks covering Kerberos authentication, Apache Ranger for fine-grained authorization (including migrating legacy Sentry policies to Ranger), HDFS transparent encryption, and Apache Atlas for data lineage and metadata governance. Our frameworks align with GDPR, HIPAA, and SOC 2 requirements to keep your cluster compliant and audit-ready.
Performance Optimization & Managed Services
Running Hadoop at scale is an ongoing commitment. Our managed services team monitors NameNode health, YARN resource utilization, job execution times, and data skew around the clock, whether your cluster runs on Ambari or the more current Cloudera Manager. We deliver proactive tuning, capacity planning, and 24/7 incident response to keep clusters stable and cost-predictable.
Hadoop to Cloud & Modernization
Running an aging on-premises Hadoop cluster that's expensive to maintain? We help you modernize by migrating workloads to cloud-native platforms like Amazon EMR, Google Dataproc, or Azure HDInsight, or by re-platforming Hive and MapReduce jobs onto Spark for faster processing and lower operational overhead.
Our Hadoop Consulting Services
Ksolves provides the full spectrum of Hadoop consulting services, covering strategy, architecture, development, governance, and managed operations.
Hadoop Strategy & Architecture
We assess your current data landscape and design a future-state Hadoop architecture tailored to your data volumes, workloads, and compliance requirements. Our consultants define HDFS storage strategy, YARN resource allocation, node sizing, and replication policies before a single line of code is written.
Hadoop Implementation & Cluster Setup
Our certified consultants execute structured, low-risk Hadoop deployments, including cluster provisioning, NameNode high availability configuration, YARN capacity scheduling, and end-to-end testing. We ensure your cluster is production-ready, fault-tolerant, and aligned with your business SLAs from day one.
Legacy System Migration to Hadoop
Migrating from traditional RDBMS, mainframes, or on-premises data warehouses? Ksolves builds a detailed migration roadmap using Sqoop or modern Spark-based ingestion for structured data, distcp for bulk data transfer, and schema redesign for HDFS and Hive, minimizing downtime and data loss throughout the transition.
Hive & HBase Development
We design and optimize Hive data warehouses with partitioning, bucketing, and ORC/Parquet columnar storage for fast analytical queries, alongside HBase schema design for low-latency, random-access NoSQL workloads at scale.
Data Pipeline & Workflow Development
We build and maintain reliable ETL and ingestion pipelines, whether that means supporting existing Sqoop and Flume-based workflows or modernizing them with Spark-based or CDC-driven ingestion, orchestrated through Oozie or Airflow, with built-in monitoring and alerting.
Security, Governance & Compliance
We configure multi-layer security frameworks covering Kerberos authentication, Apache Ranger for fine-grained authorization (including migrating legacy Sentry policies to Ranger), HDFS transparent encryption, and Apache Atlas for data lineage and metadata governance. Our frameworks align with GDPR, HIPAA, and SOC 2 requirements to keep your cluster compliant and audit-ready.
Performance Optimization & Managed Services
Running Hadoop at scale is an ongoing commitment. Our managed services team monitors NameNode health, YARN resource utilization, job execution times, and data skew around the clock, whether your cluster runs on Ambari or the more current Cloudera Manager. We deliver proactive tuning, capacity planning, and 24/7 incident response to keep clusters stable and cost-predictable.
Hadoop to Cloud & Modernization
Running an aging on-premises Hadoop cluster that's expensive to maintain? We help you modernize by migrating workloads to cloud-native platforms like Amazon EMR, Google Dataproc, or Azure HDInsight, or by re-platforming Hive and MapReduce jobs onto Spark for faster processing and lower operational overhead.
Why Choose Ksolves as Your Hadoop Consulting Partner?
A trusted Hadoop consulting company, backed by certified experts and proven outcomes across every engagement. Whether you need a single Hadoop consultant or a full team from an established Hadoop consulting firm, we bring the same rigor to every cluster.
90%
Client Retention
Rate
750+
Projects Successfully
Delivered
NSE & BSE
Publicly Listed
Company
600+
Workforce and still
growing
350+
Certifications
200+
Happy Clients
24x7
Support Across All Time Zones
Our Proven Hadoop Implementation Process
A five-phase methodology that reduces risk, accelerates timelines, and delivers measurable outcomes at every stage.
Discovery & Assessment
Evaluate current data volumes, workloads, and cluster health. Produce a Hadoop readiness report and migration roadmap.
Architecture & Design
Design HDFS storage layout, YARN resource allocation, security frameworks, and node sizing before a single line of code is written.
Implementation & Migration
Hands-on cluster deployment, data migration, schema redesign, and rigorous validation for data integrity.
Optimization & Tuning
Post-launch query profiling, job tuning, and capacity right-sizing to maximize cluster throughput and ROI.
Managed Support Ongoing
24x7 monitoring, proactive incident management, and continuous performance reviews to keep your cluster running at peak.
Our Proven Hadoop Implementation Process
A five-phase methodology that reduces risk, accelerates timelines, and delivers measurable outcomes at every stage.
Discovery & Assessment
Evaluate current data volumes, workloads, and cluster health. Produce a Hadoop readiness report and migration roadmap.
Architecture & Design
Design HDFS storage layout, YARN resource allocation, security frameworks, and node sizing before a single line of code is written.
Implementation & Migration
Hands-on cluster deployment, data migration, schema redesign, and rigorous validation for data integrity.
Optimization & Tuning
Post-launch query profiling, job tuning, and capacity right-sizing to maximize cluster throughput and ROI.
Managed Support Ongoing
24x7 monitoring, proactive incident management, and continuous performance reviews to keep your cluster running at peak.
Hadoop Consulting Services Across Every Industry
We deliver a sector-aligned data advantage, with domain expertise and compliance frameworks built for each vertical.
Telecom
Large-scale CDR processing and network log analysis using HDFS and Hive partitioning for cost-efficient long-term storage and reporting.
Healthcare
HIPAA-compliant patient data lakes with Ranger-enforced access policies and Atlas-driven data lineage across clinical datasets.
E-Commerce
Clickstream and transaction log processing using Flume ingestion and Hive-based batch analytics for customer behavior insights.
Fintech
Regulatory reporting and fraud pattern analysis using HBase for real-time lookups and Hive for historical trend analysis.
Entertainment & Media
Content consumption analytics joining viewership logs with subscriber data via Hive and Spark-on-Hadoop jobs.
Manufacturing
IoT sensor and ERP data consolidation using Sqoop ingestion and Oozie-orchestrated batch pipelines for predictive maintenance.
Retail
Inventory and sales data warehousing using partitioned Hive tables and HBase for fast SKU-level lookups.
Banking & Financial Services
Audit trail storage and compliance reporting using HDFS encryption, Kerberos authentication, and Ranger policies.
Logistics & Supply Chain
Route and fleet data processing using MapReduce and Spark batch jobs for historical route optimization analysis.
Technology & SaaS
Usage log aggregation and product analytics pipelines using Hadoop batch processing feeding downstream BI tools.
Our Blogs
Discover insightful perspectives, emerging trends, and expert opinions from Hadoop thought experts.
Success Stories
Explore case studies that show what real Hadoop engagements deliver: faster processing, cleaner architectures, and measurable business impact.
Scalable Hadoop Big Data Platform for a UAE Healthcare Network
Challenge
Legacy systems hit capacity, no real-time processing, no unified analytics, and clinical documents are entirely excluded from the data environment.
Solution
Proposed an HDFS-based platform with unified ingestion for structured and unstructured data, batch + real-time processing, a governed analytics layer, and a sequenced AI/ML readiness roadmap.
10X
Capacity Headroom-AI/ML Ready Foundation
HDP to Apache Bigtop Migration with DR Setup
Challenge
A 50-node HDP 2.6.3 cluster hosting 200 TB hit end-of-life with no patches, no upgrade path, and no disaster recovery.
Solution
Blue-green migration to Apache Bigtop on new hardware running parallel to the live cluster, plus cross-site DR across Bangalore and Hyderabad. Zero downtime throughout.
200 TB
Migrated: Zero Downtime, Zero Data Loss
Real-Time IoT Ingestion Platform-NiFi, Kafka & Cassandra for Telecom
Challenge
A North American telco generating 3 TB+ daily from millions of devices had no scalable ingestion, queues overflowed, data was permanently lost, and the NOC worked on hours-old telemetry.
Solution
NiFi collects across all device protocols → Kafka guarantees delivery → Cassandra serves live NOC dashboards → HDFS handles historical analytics independently.
3 TB+
Daily Ingest: Zero Data Loss, Live NOC in Seconds
Real-Time Burst Fraud Detection for a Telco, Kafka & Spark
Challenge
Bots flooded the marketing pipeline at 150K events/sec, wasting campaign spend and corrupting customer data.
Solution
Kafka + Spark 30-second tumbling window flags any Device_ID exceeding 20 requests and fires an instant suppress command.
30s
Fraud Suppressed: 5B Daily Events
Multi-Site CDR Pipeline for a Telecom Operator Across 4 Remote Locations
Challenge
CDR data from 4 remote sites had no unified ingestion- billing reconciliation was fully manual, causing revenue leakage as subscriber volumes grew.
Solution
NiFi agents at all 5 sites feed Kafka → Spark → Druid, with live Superset dashboards for billing and network teams.
Sub-second
Query Response on Live CDR Data
NiFi 1.27 → 2.7 Kubernetes
Migration
— Financial Services
Challenge
NiFi 1.27 is running on bare metal with no SSO, no scalability, and a growing compliance pipeline that the architecture couldn't support.
Solution
Migrated to NiFi 2.7 on Kubernetes with OneLogin SSO integration, zero downtime, completed in 6 weeks.
3X
Scalability Headroom - 6 Weeks, Zero Downtime
Eliminating ~900K Duplicate Oil Well Records via Azure Databricks
Challenge
The same wellbore appeared under 3–4 different IDs across 6,200 Excel files and 8 systems, causing royalty errors and a BLM audit risk.
Solution
Azure Databricks + PySpark deduplication with geospatial blocking and an ML model (F1=0.971), plus a human-in-the-loop MDM review portal.
~900K
Duplicate Records Eliminated
Frequently Asked Questions
Cluster provisioning, HDFS and YARN configuration, Hive and HBase setup, data pipeline development, security configuration, and post-launch handover. We stay accessible after go-live so your team is never left without support.
Share your role requirements, required skills, and timeline. We match you with a certified Hadoop consultant within 48 hours, and most engagements start within 5 to 7 business days. Engagement models range from short sprints to full-time embedded consultants.
Hadoop consulting covers strategy, architecture, and cluster design planning. Implementation is the hands-on build: provisioning, pipelines, security, and validation. At Ksolves, both are integrated into every engagement.
Most clients see measurable improvements within 4 to 6 weeks. We profile job execution times, rebalance data skew, and tune YARN and Hive configurations, often reducing batch processing times significantly.
Yes. We offer scoped advisory packages, milestone-based delivery, and part-time retainers so growing teams get certified Hadoop expertise without enterprise-level spend.
Unlike generalist Hadoop consulting companies that treat every cluster the same, our consultants have deep, hands-on experience across HDFS, Hive, HBase, and the broader Hadoop ecosystem, backed by real production troubleshooting experience, not just deployment checklists.
Yes. Our Hadoop managed services consultants handle day-to-day cluster operations, including NameNode and YARN health monitoring, job performance tuning, incident response, capacity planning, and quarterly reviews. This is the right fit for teams that need continuous Hadoop expertise without building and retaining an internal team.
Yes. Our Hadoop consultants design and execute migrations to cloud-native platforms like Amazon EMR, Google Dataproc, and Azure HDInsight, as well as re-platforming Hive and MapReduce jobs onto Spark for improved performance and lower operational overhead.
Yes. As one of the experienced Hadoop consulting firms in the industry, we’ve supported clusters ranging from small departmental deployments to multi-petabyte enterprise environments, with security and governance frameworks built for regulated industries.
