Knowledge Hut

APRIL 25, 2024

Create data storage and acceptance solutions for websites, especially those that take payments. Knowledge of Databases When working on a project, you must realize that data storage is essential since they contain a lot of information. Therefore, having a solid grasp of the database is essential.

Programming Language 98

Programming Language Java Algorithm MySQL 98

Knowledge Hut

JUNE 23, 2023

You should have the expertise to collect data, conduct research, create models, and identify patterns. You should be well-versed with SQL Server, Oracle DB, MySQL, Excel, or any other data storing or processing software. You must develop predictive models to help industries and businesses make data-driven decisions.

Data Engineering 52

Data Engineering Data Engineer Engineering Non-relational Database 52

Edureka

FEBRUARY 9, 2023

In this blog on “Azure data engineer skills”, you will discover the secrets to success in Azure data engineering with expert tips, tricks, and best practices Furthermore, a solid understanding of big data technologies such as Hadoop, Spark, and SQL Server is required.

Data Engineering 52

Data Engineering Data Engineer Engineering Data Mining 52

Knowledge Hut

JULY 26, 2023

Database Software- Document Store (e.g.-MongoDB): MongoDB): MongoDB is a prominent database software that comes under the category of "document store" databases. Document store databases, such as MongoDB, are intended to store and manage data that is unstructured or semi-structured, such as documents.

Database 52

Database NoSQL Telecommunication MongoDB 52

Cloud Academy

JANUARY 27, 2022

Let’s review some of the big picture concepts as well finer details about being a data engineer. What does a data engineer do – the big picture Data engineers will often be dealing with raw data. They need to understand common data formats and interfaces, and the pros and cons of different storage options.

Data Engineering 52

Data Engineering Data Engineer Certification Engineering 52

AltexSoft

JUNE 26, 2023

Find sources of relevant data. Choose data collection methods and tools. Decide on a sufficient data amount. Set up data storage technology. Below, we’ll elaborate on each step one by one and share our experience of data collection. They can be accumulated in NoSQL databases like MongoDB or Cassandra.

Data Collection 52

Data Collection Machine Learning Unstructured Data Non-relational Database 52

ProjectPro

JANUARY 31, 2023

There are three steps involved in the deployment of a big data model: Data Ingestion: This is the first step in deploying a big data model - Data ingestion, i.e., extracting data from multiple data sources. RDBMS is a part of system software used to create and manage databases based on the relational model.

Big Data 52

Big Data Hadoop AWS Relational Database 52