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Azure Managed Instance for Apache Cassandra - Overview

Costa Rica

Microsoft Purview

Last updated: 2025-07-17

Azure Managed Instance for Apache Cassandra provides a managed service for Apache Cassandra, enabling scalability and high availability for NoSQL workloads.

Table of Content

Features

  • Managed Service: Reduces operational overhead with automated patching and scaling.
  • High Availability: Ensures data durability and availability across multiple nodes.
  • Global Distribution: Supports multi-region replication for disaster recovery.

Use Cases

  • Real-time analytics for IoT data.
  • Applications requiring high write throughput.
  • Distributed systems with large-scale data requirements.

Sample Code Snippet

from cassandra.cluster import Cluster

# Connect to the Cassandra cluster
cluster = Cluster(["your-cassandra-endpoint"])
session = cluster.connect()

# Create a keyspace
session.execute("""
CREATE KEYSPACE IF NOT EXISTS your_keyspace
WITH replication = {
    'class': 'SimpleStrategy',
    'replication_factor': '3'
};
""")

# Use the keyspace
session.set_keyspace("your_keyspace")

# Create a table
session.execute("""
CREATE TABLE IF NOT EXISTS your_table (
    id UUID PRIMARY KEY,
    data TEXT
);
""")

# Insert data
import uuid
session.execute(
    "INSERT INTO your_table (id, data) VALUES (%s, %s)",
    (uuid.uuid4(), "sample data")
)

# Query data
rows = session.execute("SELECT * FROM your_table")
for row in rows:
    print(row)

Security Features

  • Encryption: Data is encrypted at rest and in transit.
  • Access Control: Role-based access control with integration to Azure Active Directory.
  • Compliance: Meets standards like ISO, SOC, and GDPR.

Migration Strategies

  • Data Migration Tool: Use Azure Data Migration Service for seamless migration.
  • Custom Scripts: Write scripts to migrate data from on-premises Cassandra clusters.

Performance Tuning

  • Replication Settings: Optimize replication settings for workload requirements.
  • Query Optimization: Use appropriate indexing and query patterns.
  • Cluster Scaling: Adjust cluster size based on data and query load.
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Refresh Date: 2025-07-17