Knowledge Hut

JULY 27, 2023

Developers proficient in various programming languages, tools, and frameworks are likely to get paid more.

Hadoop 52

Hadoop Programming Language Banking Scala 52

Edureka

JUNE 1, 2023

Without spending a lot of money on hardware, it is possible to acquire virtual machines and install software to manage data replication, distributed file systems, and entire big data ecosystems.

AWS 52

AWS Data Analytics Cloud Amazon Web Services 52

Knowledge Hut

DECEMBER 21, 2023

There are several data engineer career opportunities in the field of data engineering, ranging from entry-level positions to senior management roles to Big Data engineer career job roles. Here are the different job opportunities in the field of data engineering.

Data Engineering 52

Data Engineering Data Engineer Engineering MongoDB 52

ProjectPro

MAY 23, 2015

With more than 245 million customers visiting 10,900 stores and with 10 active websites across the globe, Walmart is definitely a name to reckon with in the retail sector. Whether it is in-store purchases or social mentions or any other online activity, Walmart has always been one of the best retailers in the world.

Big Data 52

Big Data Data Analysis Hadoop Retail 52

ProjectPro

FEBRUARY 4, 2016

Walmart is a name to reckon with for business success as it is one of the world’s largest retailers when it comes to revenue - operating in multiple countries across the globe. There are several retailers who want to come close to Walmart’s success.

Hadoop 40

Hadoop Retail Java Big Data 40

ProjectPro

FEBRUARY 1, 2018

Apache Hadoop has become the go-to framework within the big data ecosystem for running and managing big data applications on large hardware hadoop clusters in distributed environments.Hortonwork’s Hadoop YARN & MapReduce Development Lead, Vinod Kumar Vavilapalli offered his perspective on the latest release of Hadoop 3.0

Hadoop 52

Hadoop Food Healthcare Cloud Computing 52

phData: Data Engineering

JANUARY 3, 2022

These engineers often have a stronger mathematical background than a typical data engineer, but not to the degree that a data scientist does. Machine learning engineers need to be well versed in data structures and algorithms, both from a mathematical and computational perspective. This is not a simple task.

Data Engineering 52

Data Engineering Data Engineer Engineering Data Governance 52