ProjectPro

JUNE 6, 2025

Designing and managing data flows to support analytical initiatives is the core responsibility of a data engineer. The main challenge is creating a flow that merges data from multiple sources into a data warehouse or shared location. In Hadoop clusters , Spark apps can operate up to 10 times faster on disk.

Big Data Tools 40

Big Data Tools Big Data Hadoop BI 40

ProjectPro

JUNE 6, 2025

Apache Spark is also quite versatile, and it can run on a standalone cluster mode or Hadoop YARN , EC2, Mesos, Kubernetes, etc. You can also access data through non-relational databases such as Apache Cassandra, Apache HBase , Apache Hive, and others like the Hadoop Distributed File System. Apache CouchDB Source: idroot.us

Big Data 49

Big Data Project Metadata Programming Language 49

ProjectPro

JUNE 6, 2025

It benefits organizations heading towards becoming data-driven by facilitating faster data movement to the preferred location for real-time data-driven decision-making. Since its launch in 2005, Talend has dominated the market for commercial open-source data integration applications.

ETL Tools 45

ETL Tools Big Data Java Metadata 45

ProjectPro

JUNE 6, 2025

The distributed analytics framework allows data scientists and analysts to quickly analyze unstructured large-scale data sets. Spark is incredibly fast in comparison to other similar frameworks like Apache Hadoop. It is approximately 100 times quicker than Hadoop since it uses RAM rather than local memory.

Data Analysis Tools 45

Data Analysis Tools Data Analysis BI R (Programming) 45

ProjectPro

NOVEMBER 24, 2014

With a rapid pace in evolution of Big Data, its processing frameworks also seem to be evolving in a full swing mode. Hadoop (Hadoop 1.0) has progressed from a more restricted processing model of batch oriented MapReduce jobs to developing specialized and interactive processing models (Hadoop 2.0). to Hadoop 2.0.

Hadoop 40

Hadoop Programming Big Data Unstructured Data 40

Data Engineering Weekly

DECEMBER 21, 2022

The Rise of Data Modeling Data modeling has been one of the hot topics in Data LinkedIn. Hadoop put forward the schema-on-read strategy that leads to the disruption of data modeling techniques as we know until then. Let’s reference what the data world looked like before the Hadoop era.

Data Engineering 57

Data Engineering Data Engineer Engineering Hadoop 57

ProjectPro

JUNE 6, 2015

Business Intelligence (BI) combines human knowledge, technologies like distributed computing, and Artificial Intelligence, and big data analytics to augment business decisions for driving enterprise’s success. It replaced its traditional BI structure by integrating big data and Hadoop."-April So what is BI? So what is BI?

Business Intelligence 40

Business Intelligence Big Data BI Hadoop 40