ProjectPro

JANUARY 31, 2023

In this blog, we'll dive into some of the most commonly asked big data interview questions and provide concise and informative answers to help you ace your next big data job interview. Typically, data processing is done using frameworks such as Hadoop, Spark, MapReduce, Flink, and Pig, to mention a few. RDBMS stores structured data.

Big Data 52

Big Data Hadoop AWS Relational Database 52

Cloudera

SEPTEMBER 1, 2020

It is designed to simplify deployment, configuration, and serviceability of Solr-based analytics applications. DDE also makes it much easier for application developers or data workers to self-service and get started with building insight applications or exploration services based on text or other unstructured data (i.e.

Cloud Storage 67

Cloud Storage Unstructured Data AWS Analytics Application 67

AltexSoft

OCTOBER 21, 2022

popular SQL and NoSQL database management systems including Oracle, SQL Server, Postgres, MySQL, MongoDB, Cassandra, and more; cloud storage services — Amazon S3, Azure Blob, and Google Cloud Storage; message brokers such as ActiveMQ, IBM MQ, and RabbitMQ; Big Data processing systems like Hadoop ; and. Kafka vs Hadoop. ZooKeeper issue.

Kafka 93

Kafka Hadoop ETL Tools Big Data 93

Cloudera

SEPTEMBER 15, 2022

It was designed as a native object store to provide extreme scale, performance, and reliability to handle multiple analytics workloads using either S3 API or the traditional Hadoop API. Ozone as a Hadoop Compatible File System (“HCFS”) with limited S3 compatibility.

Systems 86

Systems Hadoop Metadata Telecommunication 86

Cloudera

NOVEMBER 8, 2022

These could be traditional analytics applications like Spark, Impala, or Hive, or custom applications that access a cloud object store natively. Ozone is also highly available — the Ozone metadata is replicated by Apache Ratis, an implementation of the Raft consensus algorithm for high-performance replication.

Metadata 80

Metadata Algorithm Hadoop Cloud 80

Cloudera

NOVEMBER 22, 2021

For example, organizations with existing on-premises environments that are trying to extend their analytical environment to the public cloud and deploy hybrid-cloud use cases need to build their own metadata synchronization and data replication capabilities. benchmarking study conducted by independent 3rd party ).

Government 89

Government Hadoop Data Security Data Warehouse 89