Answer the question in maximum 50 words/5 to 6 lines. This question carries 05 marks. [MPPSC 2022] What is a computer’s primary memory?
To integrate and manage big data from diverse sources for effective data analysis in data science, the following strategies can be employed: 1. *Data Ingestion*: Collect data from various sources using tools like Apache NiFi, Apache Kafka, or AWS Kinesis. 2. *Data Processing*: ProcessRead more
To integrate and manage big data from diverse sources for effective data analysis in data science, the following strategies can be employed:
1. *Data Ingestion*: Collect data from various sources using tools like Apache NiFi, Apache Kafka, or AWS Kinesis.
2. *Data Processing*: Process data using frameworks like Apache Spark, Apache Flink, or Hadoop MapReduce.
3. *Data Storage*: Store data in scalable storage solutions like HDFS, NoSQL databases (e.g., HBase, Cassandra), or cloud storage (e.g., AWS S3, Azure Blob Storage).
4. *Data Integration*: Integrate data using techniques like ETL (Extract, Transform, Load), data virtualization, or data federation.
5. *Data Quality*: Ensure data quality by implementing data validation, data cleansing, and data normalization processes.
6. *Data Governance*: Establish data governance policies, standards, and procedures to manage data access, security, and privacy.
7. *Data Cataloging*: Create a data catalog to inventory and document data sources, metadata, and data lineage.
8. *Data Security*: Implement robust security measures, such as encryption, access controls, and authentication, to protect sensitive data.
9. *Data Processing Pipelines*: Build data processing pipelines using tools like Apache Airflow, Apache Beam, or AWS Glue.
10. *Monitoring and Alerting*: Monitor data pipelines and set up alerting systems to detect data quality issues, processing failures, or security breaches.
By employing these strategies, data scientists can effectively integrate and manage big data from diverse sources, ensuring data consistency, quality, and security for reliable analysis and insights.
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Primary memory, in the context of computer science, refers to the memory that the CPU can directly access. It includes the CPU's registers, cache memory, and RAM. Primary memory is volatile and data can be read from and written to it using unique addresses for each memory location. There are two maiRead more
Primary memory, in the context of computer science, refers to the memory that the CPU can directly access. It includes the CPU’s registers, cache memory, and RAM. Primary memory is volatile and data can be read from and written to it using unique addresses for each memory location.
There are two main type’s of primary memory as:
1.ROM (Read Only memory) A form of computer memory that stores data even when not powered.
2.RAM (Random Access Memory)
The main use of primary memory is to store data that the CPU needs immediately to avoid waiting for it to be delivered.
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