Striim

DECEMBER 12, 2023

As we embark on this thrilling journey, we share a vision of empowering organizations with the tools they need to thrive in a data-driven world. Striim, a frontrunner in real-time data solutions, is renowned for enabling enterprises to ingest, process, and analyze data in real-time.

Data Management 59

Data Management Database-centric Management PostgreSQL 59

Knowledge Hut

NOVEMBER 19, 2023

Benefits of Azure Data Engineer Tools Azure tools for Data Engineers offer several benefits for organizations and professionals involved in data engineering: Scalability: Azure data services can scale elastically to handle growing data volumes and workloads, ensuring that your data solutions remain performant as your needs expand.

Data Engineering 52

Data Engineering Data Engineer Engineering PostgreSQL 52

Edureka

FEBRUARY 9, 2023

As the demand for data engineers grows, having a well-written resume that stands out from the crowd is critical. Azure data engineers are essential in the design, implementation, and upkeep of cloud-based data solutions. Some popular web frameworks for building a blog in Python include Django, Flask, and Pyramid.

Data Engineering 52

Data Engineering Data Engineer Engineering Amazon Web Services 52

Rockset

JULY 25, 2019

In this respect, it is very similar to transactional databases like Oracle, PostgreSQL, etc. For example, an OLTP system like PostgreSQL has a database server; updates arrive at the database server, which then writes it to the LOG. Typical examples of transactional systems are Oracle, Spanner, PostgreSQL, etc.

Software Engineer 40

Software Engineer Software Engineering Engineering PostgreSQL 40

Databand.ai

DECEMBER 13, 2022

She publishes a popular blog on Medium , featuring advice for data engineers and posts frequently on LinkedIn about coding and data engineering. He is also an AWS Certified Solutions Architect and AWS Certified Big Data expert.

Data Engineering 52

Data Engineering Data Engineer Engineering AWS 52

Knowledge Hut

SEPTEMBER 6, 2023

Data Mining and ETL : For gathering, transforming, and integrating data from diverse sources, proficiency in data mining techniques and Extract, Transform, Load (ETL) processes is required. These platforms provide out of the box big data tools and also help in managing deployments.

Big Data 52

Big Data Certification Hadoop Scala 52

ProjectPro

AUGUST 31, 2018

Amazon’s RDS supports six popular database engines – MariaDB, Amazon Aurora, MySQL, Microsoft SQL, PostgreSQL, and Oracle while Azure’s SQL database service is solely based on MS SQL Server. Azure provides analytical products through its exclusive Cortana Intelligence Suite that comes with Hadoop, Spark, Storm, and HBase.

AWS 45

AWS Cloud Amazon Web Services Cloud Computing 45