Striim

DECEMBER 12, 2023

In this dynamic partnership, the fusion of Striim’s real-time data integration and streaming analytics capabilities with Yugabyte ‘s distributed SQL database, YugabyteDB, promises businesses unprecedented scalability, resilience, and global reach. “At Striim, we believe in the transformative potential of data. .

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. SQL is also an essential skill for Azure Data Engineers.

Data Engineering 52

Data Engineering Data Engineer Engineering Amazon Web Services 52

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. Mark received his M.S.

Data Engineering 52

Data Engineering Data Engineer Engineering AWS 52

Rockset

JULY 25, 2019

The database would support joins across two or more data sets so that an application could combine the information from multiple sources to extract intelligence from them. For example, SQL, HiveQL, KSQL etc. provide declarative methods to express complex data operations on data sets.

Software Engineer 40

Software Engineer Software Engineering Engineering PostgreSQL 40

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

million SQL databases, 2 trillion message per week processed by Azure IoT, and 40% of revenue generated from start-ups and ISVs- Azure is on the verge of dominating AWS cloud services. AWS works perfectly with NoSQL and relational databases providing a mature cloud environment for big data. over the next decade.

AWS 45

AWS Cloud Amazon Web Services Cloud Computing 45