Data Storage, Non-relational Database and SQL

Data Storage

Non-relational Database

SQL

Getting Started with Cloudera Data Platform Operational Database (COD)

Cloudera

NOVEMBER 23, 2021

What is Cloudera Operational Database (COD)? Operational Database is a relational and non-relational database built on Apache HBase and is designed to support OLTP applications, which use big data. The operational database in Cloudera Data Platform has the following components: .

Database

Database Non-relational Database NoSQL Government

Top 12 Backend Developer Skills You Must Know in 2024

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

Programming Language Java Algorithm MySQL

5 Use Cases for DynamoDB in 2023

Rockset

DECEMBER 31, 2022

Because of Duolingo’s global usage and need for personalized data, DynamoDB is the only database that has been able to meet their needs, both in terms of data storage and DevOps. This is not possible in the case of DynamoDB since it’s a non-relational database that works better with NoSQL formatted data tables.

Non-relational Database

Non-relational Database Healthcare NoSQL Amazon Web Services

Webinars

Apache Airflow®: The Ultimate Guide to DAG Writing

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Azure Data Engineer Skills – Strategies for Optimization

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

Data Engineering Data Engineer Engineering Data Mining

Data Engineering Learning Path: A Complete Roadmap

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

Data Engineering Data Engineer Engineering Non-relational Database

What is Data Engineering? Skills, Tools, and Certifications

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.

Certification

Certification Data Engineering Data Engineer Engineering

How to Become an Azure Data Engineer in 2023?

ProjectPro

JANUARY 19, 2022

Here are some role-specific skills you should consider to become an Azure data engineer- Most data storage and processing systems use programming languages. Data engineers must thoroughly understand programming languages such as Python, Java, or Scala. Who should take the certification exam?

Data Engineering

Data Engineering Data Engineer Engineering Data Storage

The Future of Database Management in 2023

Knowledge Hut

JULY 24, 2023

NoSQL Databases NoSQL databases are non-relational databases (that do not store data in rows or columns) more effective than conventional relational databases (databases that store information in a tabular format) in handling unstructured and semi-structured data.

Database

Database NoSQL Management Relational Database

100+ Big Data Interview Questions and Answers 2023

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

Big Data Hadoop Relational Database AWS

Data Collection for Machine Learning: Steps, Methods, and Best Practices

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. From here, you’ll have to take the next steps.

Data Collection

Data Collection Machine Learning Unstructured Data Non-relational Database

Data Engineering Glossary

Silectis

JANUARY 3, 2021

MapReduce MapReduce is a component of the Hadoop framework that’s used to access big data stored within the Hadoop File System Metadata A set of data that describes and gives information about other data. MySQL An open-source relational databse management system with a client-server model.

Data Engineering

Data Engineering Data Engineer Engineering Hadoop

20 Best Open Source Big Data Projects to Contribute on GitHub

ProjectPro

NOVEMBER 15, 2021

With SQL, machine learning, real-time data streaming, graph processing, and other features, this leads to incredibly rapid big data processing. DataFrames are used by Spark SQL to accommodate structured and semi-structured data. DataFrames are used by Spark SQL to accommodate structured and semi-structured data.

Big Data

Big Data Project Metadata Programming Language

The Role of Database Applications in Modern Business Environments

Knowledge Hut

JULY 26, 2023

Database Software- Other NoSQL: NoSQL databases cover a variety of database software that differs from typical relational databases. Key-value stores, columnar stores, graph-based databases, and wide-column stores are common classifications for NoSQL databases. Spatial Database (e.g.-

Database

Database NoSQL Telecommunication MongoDB

100+ Data Engineer Interview Questions and Answers for 2023

ProjectPro

JULY 27, 2021

Below are some big data interview questions for data engineers based on the fundamental concepts of big data, such as data modeling, data analysis , data migration, data processing architecture, data storage, big data analytics, etc.

Data Engineering

Data Engineering Data Engineer Engineering Hadoop

10 Best Big Data Books in 2024 [Beginners and Advanced]

Knowledge Hut

DECEMBER 26, 2023

After carefully exploring what we mean when we say "big data," the book explores each phase of the big data lifecycle. With Tableau, which focuses on big data visualization , you can create scatter plots, histograms, bar, line, and pie charts. Key Benefits and Takeaways Learn the basics of big data with Spark.

Big Data

Big Data Data Mining Business Intelligence Machine Learning

Data Engineering Digest

Getting Started with Cloudera Data Platform Operational Database (COD)

Top 12 Backend Developer Skills You Must Know in 2024

5 Use Cases for DynamoDB in 2023

Webinars

Azure Data Engineer Skills – Strategies for Optimization

Data Engineering Learning Path: A Complete Roadmap

What is Data Engineering? Skills, Tools, and Certifications

How to Become an Azure Data Engineer in 2023?

The Future of Database Management in 2023

100+ Big Data Interview Questions and Answers 2023

Data Collection for Machine Learning: Steps, Methods, and Best Practices

Data Engineering Glossary

20 Best Open Source Big Data Projects to Contribute on GitHub

The Role of Database Applications in Modern Business Environments

100+ Data Engineer Interview Questions and Answers for 2023

10 Best Big Data Books in 2024 [Beginners and Advanced]

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