ProjectPro

JUNE 6, 2025

These formats are data models and serve as the foundation for an ETL developer's definition of the tools necessary for data transformation. An ETL developer should be familiar with SQL/NoSQL databases and data mapping to understand data storage requirements and design warehouse layout.

Data Engineer 59

Data Engineer Data Engineering Engineering ETL Tools 59

ProjectPro

JUNE 6, 2025

When working with real-world data, it may only sometimes be the case that the information is stored in rows and columns. In such instances, raw data is available in the form of JSON documents, key-value pairs, etc., and is accessed by data engineers with the help of NoSQL database management systems.

Data Engineer 49

Data Engineer Data Engineering Engineering Hadoop 49

ProjectPro

JUNE 6, 2025

Build an Awesome Job Winning Data Engineering Projects Portfoli o Technical Skills Required to Become a Big Data Engineer Database Systems: Data is the primary asset handled, processed, and managed by a Big Data Engineer. You must have good knowledge of the SQL and NoSQL database systems.

Big Data 40

Big Data Data Engineer Data Engineering Engineering 40

ProjectPro

JUNE 6, 2025

These DStreams allow developers to cache data in memory, which may be particularly handy if the data from a DStream is utilized several times. The cache() function or the persist() method with proper persistence settings can be used to cache data. Furthermore, it can write data to filesystems, databases, and live dashboards.

Hadoop 68

Hadoop Metadata Java Datasets 68

ProjectPro

JUNE 6, 2025

Highlight the Big Data Analytics Tools and Technologies You Know The world of analytics and data science is purely skills-based and there are ample skills and technologies like Hadoop, Spark, NoSQL, Python, R, Tableau, etc. that you need to learn to pursue a lucrative career in the industry.

Hadoop 40

Hadoop Recruitment Big Data NoSQL 40

ProjectPro

OCTOBER 3, 2016

To compete in a field of diverse data tools, Vertica 8.0 has expanded its analytical database support for Apache Hadoop and Spark integration and also to enhance Apache Kafka management pipeline. Vertical analytic platform could access hadoop data before but with Vertica 8.0

Hadoop 52

Hadoop Database-centric Pipeline-centric Consulting 52

ProjectPro

JUNE 29, 2016

As open source technologies gain popularity at a rapid pace, professionals who can upgrade their skillset by learning fresh technologies like Hadoop, Spark, NoSQL, etc. Assume that you are a Java Developer and suddenly your company hops to join the big data bandwagon and requires professionals with Java+Hadoop experience.

Hadoop 40

Hadoop Big Data Banking Consulting 40