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Apache HBase provides real-time access to data in Hadoop and is designed to host large tables, making it an excellent choice for storing multi-structured data. On the other hand, Apache Hive facilitates the analysis of data stored in various databases and file systems integrated with Apache Hadoop.
Ensure Data is reliably stored on the cluster of machines despite machine failures.
Apache HBase and Apache Hive support linear and modular scalability and are centered around maintaining the performance requirements.
In Apache HBase, data replicates across the data center. lt keeps syncing the data in the cluster, so if one node goes down, data from that node can be recovered from other nodes.
Adopting enterprise-driven distributed and modern solutions which facilitate scalable and flexible data architecture.
Our Managed Services for Enterprises offer exceptional support for Apache HBase and Apache Hive.
Ensure Highly Availability
Run Analytics Workloads
Large Data Processing with Apache Hive
Distributed Data Processing
Streamlined Performance
With linear and modular scalability of workloads, the enterprise can focus on and execute performance objectives.
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Discover deep and actionable insights and gain intelligence with low-latency-based solutions.
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Enhance cluster management and data processing abilities for businesses.
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Resilient Distributed Datasets driven solutions for extending Immutability, Fault Tolerance, and partitioning capabilities.
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Apache Spark has an advanced DAG execution engine that supports cyclic data flow and in-memory computing, running applications to run up to 100x faster.
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Harness the power of modular scalability, distributed storage, and administration abilities.
Empower scalable and reliable applications with optimized query execution and implementation solutions.
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Facilitate and build completely managed parallel and integrated operations with Dataproc.
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Enterprises can utilize HD insight abilities to administer and configure Spark clusters easily.
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Optimize your manufacturing processes and propel your business towards greater efficiency and success.
AI continuously monitors systems for risks before they escalate. It correlates signals across logs, metrics, and traces. This ensures faster detection, fewer incidents, and stronger reliability
AI converts camera feeds into instant situational awareness. It detects unusual motion and unsafe behavior in real time. Long hours of video become searchable and summarized instantly
Your data stack becomes intelligent and conversational. Agents surface insights, detect anomalies, and explain trends. Move from dashboards to autonomous, always-on analytics
Agents identify recurring failures and performance issues. They trigger workflows that resolve common problems automatically. Your infrastructure evolves into a self-healing environment
AI continuously checks controls and compliance posture. It detects misconfigurations and risks before they escalate. Evidence collection becomes automatic and audit-ready
Financial and procurement workflows become proactive and insight-driven. Agents monitor spend, vendors, and contracts in real time. Approvals and sourcing decisions become faster and smarter