At HireKeyz, we enable organizations to handle vast volumes of structured and unstructured data using modern big data technologies. From real-time processing to batch analytics, our expertise in Apache Spark and Hadoop delivers powerful insights and scalable performance.
In today’s data-driven world, traditional systems can’t handle the velocity, variety, and volume of data. Big Data platforms are designed to ingest, process, and analyze petabyte-scale data—turning raw information into actionable insights.
1. Handle high-volume data with high velocity and variety
2. Improve decision-making through real-time analytics
3. Enable predictive analytics and business forecasting
4. Reduce operational costs with scalable processing
5. Support diverse data types: logs, images, text, video, IoT streams
1. Real-time and batch data processing
2. Spark Streaming for near-instant insights
3. Integration with MLlib for machine learning pipelines
1. HDFS for distributed storage
2. MapReduce for large-scale processing
3. Hive, Pig, and Sqoop for querying and integration
1. Design and deployment of scalable data lakes
2. Delta Lake and Apache Iceberg integration
1. Ingest data from multiple sources into Hadoop/Spark clusters
2. Transform and clean data for downstream analytics and ML
Our solutions are built using the latest in vision technology.
1.Frameworks & Tools: Apache Spark, Hadoop, Hive, Pig, Flume, Sqoop, Kafka, Airflow
2.Cloud Big Data Platforms: AWS EMR, Azure HDInsight, Google Cloud Dataproc, Databricks
3.Languages & Integration: Scala, Python (PySpark), Java, SQL, NoSQL (HBase, Cassandra)
1. Retail
Personalized recommendations and trend analysis
2. Healthcare
Patient data analytics and predictive modeling
3. Finance
Fraud detection and risk analytics
4. Telecom
Real-time call data record (CDR) processing
5. Manufacturing
IoT data analytics and operational efficiency
With our end-to-end Big Data expertise, HireKeyz helps you move from data overload to strategic insights—fast, secure, and at scale.
