AltexSoft

JULY 29, 2022

On top of HDFS, the Hadoop ecosystem provides HBase , a NoSQL database designed to host large tables, with billions of rows and millions of columns. It lets you run MapReduce and Spark jobs on data kept in Google Cloud Storage (instead of HDFS); or. MongoDB: an NoSQL database with additional features.

Hadoop 59

Hadoop Big Data Google Cloud NoSQL 59

Rockset

MARCH 21, 2019

Function-as-a-Service frameworks, such as AWS Lambda, Azure Functions, and Google Cloud Functions, go quite far in realizing that vision for stateless applications, but the real challenge comes when applications need to deal with state.

SQL 52

SQL Data Management Management Engineering 52

Rockset

MAY 24, 2021

Azure Data Lake: Microsoft's analytics platform and serverless data lake is offered through the company's public cloud, Azure. Google Cloud Storage: This RESTful cloud storage solution is offered through the Google Cloud Platform.

Database 40

Database Google Cloud AWS Cloud Storage 40

ProjectPro

JULY 30, 2021

50 Cloud Computing Interview Questions and Answers f0r 2023 Knowing how to answer the most commonly asked cloud computing questions can increase your chances of landing your dream cloud computing job roles. What are some popular use cases for cloud computing? These instances use their local storage to store data.

Cloud Computing 40

Cloud Computing Cloud Amazon Web Services AWS 40

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 93

Kafka Hadoop Big Data ETL Tools 93

Christophe Blefari

AUGUST 4, 2023

FAQ and remarks Why do you use Google Cloud? My opinion on the matter is this: all clouds are born equal, you just have to find the one you're most comfortable with, or suffer your company's choices. this list can become infinite) Conclusion After this design exercice I have mix feeling.

Google Cloud 225

Google Cloud MongoDB NoSQL Data 225

Rockset

JUNE 7, 2021

Translating the commands from source to target can be tricky especially if you’re capturing changes to a SQL database and reflecting them in a NoSQL database, as the way commands are written are different. The system needs to deal with transactional systems where changes are only applied on commit.

IT 40

IT Kafka Database MongoDB 40

AltexSoft

MAY 12, 2023

Semi-structured data is typically stored in NoSQL databases, such as MongoDB, Cassandra, and Couchbase, following hierarchical or graph data models. There are several widely used unstructured data storage solutions such as data lakes (e.g., Amazon S3, Google Cloud Storage, Microsoft Azure Blob Storage), NoSQL databases (e.g.,

Unstructured Data 59

Unstructured Data NoSQL Hadoop Data Lake 59

Confluent

SEPTEMBER 20, 2019

Confluent Cloud, for example, provides out-of-the-box connectors so developers don’t need to spend time creating and maintaining their own. There are different connectors available, such as ActiveMQ, HDFS, JDBC, Salesforce, cloud storage (GCP, Azure, and AWS), IBM MQ, and RabbitMQ, to name a few.

Kafka 21

Kafka Management Cloud AWS 21