Knowledge Hut

DECEMBER 29, 2023

A Data Engineer's primary responsibility is the construction and upkeep of a data warehouse. In this role, they would help the Analytics team become ready to leverage both structured and unstructured data in their model creation processes. They construct pipelines to collect and transform data from many sources.

Data Science 98

Data Science Data Mining Deep Learning Programming Language 98

Knowledge Hut

DECEMBER 26, 2023

A big data company is a company that specializes in collecting and analyzing large data sets. Big data companies typically use a variety of techniques and technologies to collect and analyze data, including data mining, machine learning, and statistical analysis.

Big Data 52

Big Data Unstructured Data Amazon Web Services Hadoop 52

ProjectPro

JULY 3, 2015

SAP is all set to ensure that big data market knows its hip to the trend with its new announcement at a conference in San Francisco that it will embrace Hadoop. What follows is an elaborate explanation on how SAP and Hadoop together can bring in novel big data solutions to the enterprise. “A doption is the only option.

Hadoop 40

Hadoop Big Data Data Solutions Unstructured Data 40

Edureka

FEBRUARY 9, 2023

Data engineering is a new and evolving field that will withstand the test of time and computing advances. Certified Azure Data Engineers are frequently hired by businesses to convert unstructured data into useful, structured data that data analysts and data scientists can use.

Data Engineer 52

Data Engineer Data Engineering Engineering Data Mining 52

Knowledge Hut

DECEMBER 26, 2023

They should know SQL queries, SQL Server Reporting Services (SSRS), and SQL Server Integration Services (SSIS) and a background in Data Mining and Data Warehouse Design. They are also responsible for improving the performance of data pipelines. In other words, they develop, maintain, and test Big Data solutions.

Data Science 97

Data Science BI Business Intelligence Machine Learning 97

ProjectPro

JANUARY 19, 2022

Data engineering is a new and ever-evolving field that can withstand the test of time and computing developments. Companies frequently hire certified Azure Data Engineers to convert unstructured data into useful, structured data that data analysts and data scientists can use.

Data Engineer 52

Data Engineer Data Engineering Engineering Data Storage 52

ProjectPro

DECEMBER 7, 2016

Hive and HBase are both data stores for storing unstructured data. HBase is a NoSQL database used for real-time data streaming whereas Hive is not ideally a database but a MapReduce based SQL engine that runs on top of hadoop. Scribd uses Hive for ad-hoc querying, data mining and for user facing analytics.

Technology 40

Technology NoSQL Hadoop Data Mining 40