ProjectPro

JUNE 6, 2025

From migrating data to the cloud to consolidating databases, this blog will cover a variety of data migration project ideas with best practices for successful data migration. Data migration is the process of extracting and moving data from existing databases, environments, or storage systems to another.

Project 40

Project Google Cloud AWS MongoDB 40

ProjectPro

JUNE 6, 2025

Big data operations require specialized tools and techniques since a relational database cannot manage such a large amount of data. Data Storage: The next step after data ingestion is to store it in HDFS or a NoSQL database such as HBase. Data Processing: This is the final step in deploying a big data model.

Big Data 40

Big Data Hadoop Relational Database NoSQL 40

ProjectPro

JUNE 6, 2025

Data modelers are highly in demand for building effective data modeling solutions by analyzing enterprise data and managing efficient database systems. The data modeler builds, implements, and analyzes data architecture and data modeling solutions using relational, dimensional, and NoSQL databases. What does a Data Modeler do?

NoSQL 40

NoSQL ETL Tools Certification SQL 40

Edureka

AUGUST 18, 2024

Therefore, front-end, back-end, and database management are the three basic technologies that one needs to be proficient in to become a successful full-stack developer. Its main objective is to test the application or database layer to ensure that the specific software is free from any deadlocks and that data loss can be prevented.

Programming Language 98

Programming Language Java Non-relational Database Database 98

U-Next

MARCH 1, 2023

A solid understanding of relational databases and SQL language is a must-have skill, as an ability to manipulate large amounts of data effectively. They often work closely with database administrators to ensure they have access to all of the tools and resources needed to meet their goals.

Data Engineer 75

Data Engineer Data Engineering Non-relational Database Engineering 75

ProjectPro

JUNE 6, 2025

For implementing ETL, managing relational and non-relational databases, and creating data warehouses, big data professionals rely on a broad range of programming and data management tools. It has built-in machine learning algorithms, SQL, and data streaming modules. The Walt Disney Company, Koch Industries Inc.,

Big Data Tools 40

Big Data Tools Big Data Hadoop BI 40

Knowledge Hut

DECEMBER 28, 2023

The answer lies within databases. That is precisely what a database offers— a secure location. "Once "Once the business data have been centralized and integrated, the value of the database is greater than the sum of the preexisting parts." What are Database Management Tools? But where does it all reside?

Database 52

Database MySQL SQL Relational Database 52

Knowledge Hut

JULY 24, 2023

Database management, once confined to IT departments, has become a strategic cornerstone for businesses across industries. In this blog, we will talk about the future of database management. To kick-start your career in database management, you can take the best database courses.

Database 52

Database Management NoSQL Relational Database 52

Edureka

AUGUST 26, 2024

MongoDB is a NoSQL database where data are stored in a flexible way that is similar to JSON format. Databases are utilized in back-end engineering to store and process information. MongoDB is a NoSQL database used in web development. Express.js is a lightweight web application framework that sits above node.js.

MongoDB 97

MongoDB Programming Language MySQL Certification 97

Knowledge Hut

JULY 26, 2023

Database applications have become vital in current business environments because they enable effective data management, integration, privacy, collaboration, analysis, and reporting. Database applications also help in data-driven decision-making by providing data analysis and reporting tools. What are Database Applications?

Database 52

Database NoSQL Telecommunication MongoDB 52

Knowledge Hut

JANUARY 24, 2024

Supports numerous data sources It connects to and fetches data from a variety of data sources using Tableau and supports a wide range of data sources, including local files, spreadsheets, relational and non-relational databases, data warehouses, big data, and on-cloud data. How is Tableau different from Power BI?

BI 98

BI Business Intelligence Non-relational Database Certification 98

Rockset

MARCH 24, 2022

Even though the complexity, data shape and data volume are increasing and changing, companies are looking for simpler and faster database solutions. Being able to write and adjust any SQL queries you want on the fly on semi-structured data and across various data sources should be something every data engineer should be empowered to do.

Non-relational Database 52

Non-relational Database Relational Database Database Data Pipeline 52

Knowledge Hut

APRIL 25, 2024

Here are some things that you should learn: Recursion Bubble sort Selection sort Binary Search Insertion Sort Databases and Cache To build a high-performance system, programmers need to rely on the cache. In addition, it is required in a database to keep track of the users' responses. to manage DBMS.

Programming Language 98

Programming Language Java MySQL Algorithm 98

U-Next

SEPTEMBER 9, 2022

Introduction – What is a Database Administrator (DBA)? . A database administrator (DBA) is a professional responsible for managing and administrating databases. A DBA typically works with database management systems (DBMS) to ensure that data is properly stored, organized, and secured.

Database 40

Database Data Cleanse Non-relational Database Database Design 40

Rockset

DECEMBER 31, 2022

Because of this, standard transactional databases aren’t always the best fit. Instead, databases such as DynamoDB have been designed to manage the new influx of data. DynamoDB is an Amazon Web Services database system that supports data structures and key-valued cloud services. This is why companies turn towards DynamoDB.

Non-relational Database 52

Non-relational Database Healthcare Amazon Web Services NoSQL 52

Knowledge Hut

JUNE 23, 2023

You should be well-versed with SQL Server, Oracle DB, MySQL, Excel, or any other data storing or processing software. Hard Skills SQL, which includes memorizing a query and resolving optimized queries. Coding helps you link your database and work with all programming languages.

Data Engineer 52

Data Engineer Data Engineering Engineering Non-relational Database 52

Rockset

JUNE 7, 2022

Editor Databases are a key architectural component of many applications and services. Traditionally, organizations have chosen relational databases like SQL Server, Oracle , MySQL and Postgres. Relational databases use tables and structured languages to store data.

MongoDB 52

MongoDB NoSQL Non-relational Database Relational Database 52

Grouparoo

APRIL 5, 2021

If you’re a data analyst, data scientist, developer, or DB administrator you may have used, at some point, a non-relational database with flexible schemas. Well, I could list several advantages of a NoSQL solution over SQL-based databases and vice versa.

MongoDB 52

MongoDB Non-relational Database NoSQL Relational Database 52

Cloud Academy

JANUARY 27, 2022

Many of them are already familiar with SQL or have experience working with databases, whether they’re relational or non-relational. Get a basic understanding of SQL A second requirement is to have a basic understanding of SQL. These fundamentals will give you a solid foundation in data and datasets.

Certification 52

Certification Data Engineer Data Engineering Engineering 52

AltexSoft

NOVEMBER 23, 2021

It maps metadata and semantically similar data assets from different autonomous databases to a common virtual data model or schema of the abstraction layer. These integration processes can be modeled with the help of a drag-and-drop interface or a query language like SQL depending on the data virtualization tool.

Process 69

Process Data Lake Metadata Data Warehouse 69

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. According to the 2020 U.S.

Data Engineer 52

Data Engineer Data Engineering Engineering Data Mining 52

ProjectPro

JUNE 6, 2025

Azure Data Engineers Jobs - The Demand "By 2022, 75% of all databases will be deployed or transferred to a cloud platform, with only 5% ever evaluated for repatriation to on-premises," according to Gartner. Relational and non-relational databases are among the most common data storage methods.

Data Engineer 49

Data Engineer Data Engineering Engineering Certification 49

AltexSoft

JUNE 26, 2023

It includes manual data entries, online surveys, extracting information from documents and databases, capturing signals from sensors, and more. It dwells in special repositories known as relational or SQL databases since experts use structured query language (SQL) to manipulate tables and retrieve records.

Data Collection 52

Data Collection Machine Learning Unstructured Data Electronics 52

ProjectPro

JANUARY 31, 2023

Big data operations require specialized tools and techniques since a relational database cannot manage such a large amount of data. Data Storage: The next step after data ingestion is to store it in HDFS or a NoSQL database such as HBase. Data Processing: This is the final step in deploying a big data model.

Big Data 52

Big Data Hadoop Relational Database NoSQL 52

Silectis

JANUARY 3, 2021

Cassandra A database built by the Apache Foundation. Database A collection of structured data. Flat File A type of database that stores data in a plain text format. MySQL An open-source relational databse management system with a client-server model. Big Query Google’s cloud data warehouse.

Data Engineer 40

Data Engineer Data Engineering Engineering Non-relational Database 40

Knowledge Hut

APRIL 18, 2023

They utilize software tools like HTML, CSS, and JavaScript to build web pages and create interactive features such as forms, animations, and databases. They should also have experience with back-end technologies such as databases, servers, and APIs. Fully-functional relational and non-relational database design and upkeep.

Computer Science 59

Computer Science Java Programming Language Education 59

ProjectPro

NOVEMBER 15, 2021

Clickhouse Source: Github Clickhouse is a column-oriented database management system used for the online analytical processing of queries ( also known as OLAP). It allows the creation of tables and databases in runtime, loading data, and running queries without reconfiguring or restarting the server.

Big Data 52

Big Data Project Metadata Programming Language 52

ProjectPro

JANUARY 19, 2022

Azure Data Engineers Jobs - The Demand "By 2022, 75% of all databases will be deployed or transferred to a cloud platform, with only 5% ever evaluated for repatriation to on-premises," according to Gartner. Relational and non-relational databases are among the most common data storage methods.

Data Engineer 52

Data Engineer Data Engineering Engineering Certification 52

Knowledge Hut

JANUARY 2, 2024

SQL Born in the early 1970s at IBM, SQL, or Structured Query Language, was designed to manage and retrieve data stored in relational databases. As data became the new oil, SQL solidified its importance. SQL's declarative nature makes complex data manipulations feasible with concise commands.

Programming Language 52

Programming Language Programming Java NoSQL 52

ProjectPro

JULY 27, 2021

Differentiate between relational and non-relational database management systems. Relational Database Management Systems (RDBMS) Non-relational Database Management Systems Relational Databases primarily work with structured data using SQL (Structured Query Language).

Data Engineer 40

Data Engineer Data Engineering Engineering Hadoop 40

Knowledge Hut

SEPTEMBER 22, 2023

They may use file stores, data streams, relational databases, and non-relational databases as their data platforms. It necessitates that you possess in-depth understanding of parallel processing, data architecture patterns, and data computation languages (ideally SQL, Python, or Scala).

Certification 52

Certification Data Engineer Data Engineering IT 52

AltexSoft

OCTOBER 8, 2021

But more often than not data is scattered across a myriad of disparate platforms, databases, and file systems. At the same time, you get rid of the “data silos” problem: When no team or department has a unified view of all data due to fragments being locked in separate databases with limited access. They include NoSQL databases (e.g.,

Data Integration 52

Data Integration Hadoop Data Warehouse Data Lake 52

ProjectPro

JUNE 6, 2025

Big Data technologies used: AWS EC2, AWS S3, Flume, Spark, Spark Sql, Tableau, Airflow Big Data Architecture: This implementation is deployed on AWS EC2 and uses flume for ingestion, S3 as a data store, Spark SQL tables for processing, Tableau for visualization, and Airflow for orchestration.

Hadoop 40

Hadoop Project Big Data Media 40

Knowledge Hut

DECEMBER 26, 2023

Big Data: Concepts, Technology and Architecture For data scientists, engineers, and database managers, Big Data is the best book to learn big data. Executives and supervisors that supervise teams tasked with managing or understanding massive databases will also find this book to be helpful. Learn how Spark functions on a cluster.

Big Data 75

Big Data Data Mining Business Intelligence Non-relational Database 75

U-Next

AUGUST 3, 2022

Programming in several languages: Data Scientists frequently employ a variety of programming languages, including Python, R, C/C, SAS, Scala, and SQL. To create a solution that satisfies the requirements, they must be proficient with coding, databases, and the software development process. Non-Technical Competencies.

Retail 52

Retail Data Science Computer Science Entertainment 52