Cloudera

FEBRUARY 9, 2021

This ‘need for speed’ drives a rethink on building a more modern data warehouse solution, one that balances speed with platform cost management, performance, and reliability. In this way, the analytic applications are able to turn the latest data into instant business insights. Cost-Effective. Low Maintenance.

Data Warehouse 72

Data Warehouse Cloud Kafka Cloud Storage 72

Cloudera

SEPTEMBER 15, 2022

A key area of focus for the symposium this year was the design and deployment of modern data platforms. The third element in the process is the connection between the data products and the collection of analytics applications to provide business results. Ramsey International Modern Data Platform Architecture.

Data Lake 82

Data Lake Analytics Application Cloud Storage Architecture 82

Precisely

MARCH 10, 2023

With the right geocoding technology, accurate and standardized address data is entirely possible. This capability opens the door to a wide array of data analytics applications. The Rise of Cloud Analytics Data analytics has advanced rapidly over the past decade.

Datasets 59

Datasets Data Warehouse Big Data Data Analytics 59

Rockset

AUGUST 4, 2021

Organizations that depend on data for their success and survival need robust, scalable data architecture, typically employing a data warehouse for analytics needs. Snowflake is often their cloud-native data warehouse of choice. Snowflake provides a couple of ways to load data.

Data Ingestion 40

Data Ingestion Cloud Storage Data Warehouse Architecture 40

Towards Data Science

APRIL 26, 2023

The purpose is simple: we want to show that we can develop directly against the cloud while minimizing the cognitive overhead of designing and building infrastructure. Plus, we will put together a design that minimizes costs compared to modern data warehouses, such as Big Query or Snowflake. Image from the authors.

Engineering 67

Engineering Data Lake AWS BI 67

ProjectPro

SEPTEMBER 6, 2021

Amazon brought innovation in technology and enjoyed a massive head start compared to Google Cloud, Microsoft Azure , and other cloud computing services. It developed and optimized everything from cloud storage, computing, IaaS, and PaaS. AWS S3 and GCP Storage Amazon and Google both have their solution for cloud storage.

AWS 52

AWS Amazon Web Services Google Cloud Cloud Storage 52

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