ProjectPro

JUNE 6, 2025

Create databases, data warehouses, and data streams based on business requirements Collaborate with cross-functional teams, stakeholders, and other IT professionals to ensure the enterprise data systems run smoothly. Maintain data security and set guidelines to ensure data accuracy and system safety.

Data Architect 40

Data Architect Data Mining Programming Language Java 40

ProjectPro

JUNE 6, 2025

It all boils down to the ability to efficiently query, manipulate, and analyze data. SQL provides a unified language for efficient interaction where data sources are diverse and complex. Despite the rise of NoSQL, SQL remains crucial for querying relational databases, data transformations, and data-driven decision-making.

SQL 40

SQL Relational Database Business Analyst Database 40

ProjectPro

JUNE 6, 2025

TensorFlow) Strong communication and presentation skills Data Scientist Salary According to the Payscale, Data Scientists earn an average of $97,680. Database Administrator Database administrator manages the database of an organization. Hands-on database optimization and troubleshooting knowledge.

Data Science 56

Data Science Data Mining Data Architect BI 56

ProjectPro

JUNE 6, 2025

The data integration aspect of the project is highlighted in the utilization of relational databases, specifically PostgreSQL and MySQL , hosted on AWS RDS (Relational Database Service). These steps ensure a smooth data flow from its raw form in GCS to a more structured state easy to analyze in BigQuery.

Data Integration 40

Data Integration Project Data Lake PostgreSQL 40

ProjectPro

JUNE 6, 2025

SQL Proficiency It is essential to be proficient in SQL, also known as "structured query language," if you want to work as a data modeler. SQL is the standard database query language used to manipulate, organize, and access data in relational databases.

NoSQL 40

NoSQL ETL Tools Certification SQL 40

ProjectPro

JUNE 6, 2025

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 Engineering 40

Data Engineering Data Engineer Engineering Hadoop 40

François Nguyen

MARCH 22, 2021

With this 3rd platform generation, you have more real time data analytics and a cost reduction because it is easier to manage this infrastructure in the cloud thanks to managed services. It gives an anwser to what do we have , where is the data (its address) how many objects do we have ? who are our active users ? Who is doing what ?

Technology 130

Technology Architecture Google Cloud Metadata 130

Edureka

APRIL 22, 2025

Infrastructure as a Service (IaaS) AWS is responsible for the physical infrastructure, network, and virtualization; customers manage OS, middleware, runtime, applications, and data security. AWS manages the underlying infrastructure, OS, and runtime components.

Amazon Web Services 40

Amazon Web Services AWS Data Governance Cloud 40

Edureka

AUGUST 18, 2024

General Full Stack Developer Skills required The full stack developer skills list does not just end here; some skills, apart from development, are required for database management, data security, memory allocation, authentication, etc. Some of the general full stack developer skills include: 11.

Programming Language 98

Programming Language Java Non-relational Database Relational Database 98

Knowledge Hut

JULY 24, 2023

It is perfect for sectors like banking, finance, and healthcare that demand higher security and privacy since it offers a tamper-proof, unchangeable record of all transactions. Cloud migration has several benefits, including improved data accessibility, more straightforward data backup and disaster recovery, and lower infrastructure expenses.

Database 52

Database Management NoSQL Relational Database 52

ProjectPro

JUNE 6, 2025

Let us compare traditional data warehousing and Hadoop-based BI solutions to better understand how using BI on Hadoop proves more effective than traditional data warehousing- Point Of Comparison Traditional Data Warehousing BI On Hadoop Solutions Data Storage Structured data in relational databases.

Hadoop 40

Hadoop BI Big Data Business Intelligence 40

Cloudera

AUGUST 26, 2020

This robust environment makes it possible to scale to any level and support any complex data type, so companies can focus on analyzing information instead of manually integrating data. Gluent provides functionality to move data from proprietary relational database systems to Cloudera and then query that data transparently.

Machine Learning 84

Machine Learning BI Data Warehouse Big Data 84

ProjectPro

JUNE 6, 2025

The advantages of a cloud-based data warehouse are listed below: Reduced Cost : Reduced cost is one of the main benefits of using a cloud-based data warehouse. A cloud-based system helps businesses to avoid the cost of managing and deploying their data warehouse infrastructure. Explain Snowflake caching and write its type.

Data Warehouse 40

Data Warehouse Data Mining Recruitment Database 40

Knowledge Hut

APRIL 23, 2024

It is the standard language for managing relational databases, making it an indispensable skill for data professionals. A solid understanding of SQL can allow you to create, manipulate, and query databases efficiently and effectively, enabling you to extract valuable insights from large datasets.

Database 52

Database Management Relational Database SQL 52

ProjectPro

JUNE 6, 2025

Spark can integrate with Apache Cassandra to process data stored in this NoSQL database. Spark can connect to relational databases using JDBC, allowing it to perform operations on SQL databases. Spark can read from and write to Amazon S3 , making it easy to work with data stored in cloud storage.

Hadoop 68

Hadoop Metadata Java Datasets 68

ProjectPro

JUNE 6, 2025

Data engineers and their skills play a crucial role in the success of an organization by making it easier for data scientists , data analysts , and decision-makers to access the data they need to do their jobs. Businesses rely on the knowledge and skills of data engineers to deliver scalable solutions to their clients.

Certification 40

Certification Data Engineering Data Engineer Engineering 40

Knowledge Hut

NOVEMBER 16, 2023

Relational Database Service (RDS): As a component of the relational database, RDS (Relational Database Service) enables the storing of data objects. It makes setting up, running, and scaling well-known relational databases on the cloud simple.

AWS 52

AWS Amazon Web Services Cloud Computing Cloud Storage 52

Edureka

OCTOBER 15, 2024

Amazon Aurora is a relational database engine compatible with MySQL and PostgreSQL. To improve data high availability and durability, it is logged and stored continuously in Amazon S3. The logging and storage layer in the Data Plane ensures data security and easy recovery. What is Amazon Aurora?

PostgreSQL 52

PostgreSQL MySQL AWS Relational Database 52

AltexSoft

FEBRUARY 11, 2023

If KPI goals are not met, a data architect recommends solutions (including new technologies) to improve the existing framework. Besides, it’s up to this specialist to guarantee compliance with laws, regulations, and standards related to data.

Data Architect 87

Data Architect Certification Generalist Big Data 87

ProjectPro

JUNE 6, 2025

RDBMS stands for Relational Database Management System. It organizes data into tables (also called relations) which are linked using keys. Ideal for candidates expected to demonstrate both theoretical and practical knowledge of relational databases. What is RDBMS? What are tables and fields in SQL?

SQL 40

SQL MySQL MongoDB Database 40

ProjectPro

JUNE 6, 2025

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. Learning SQL is essential to comprehend the database and its structures.

Data Engineering 49

Data Engineering Data Engineer Engineering Certification 49

Monte Carlo

MAY 28, 2024

Data Extraction with Apache Hadoop and Apache Sqoop : Hadoop’s distributed file system (HDFS) stores large data volumes; Sqoop transfers data between Hadoop and relational databases. Data Transformation with Apache Spark : In-memory data processing for rapid cleaning and transformation.

Data Ingestion 52

Data Ingestion Architecture Designing Hadoop 52

Knowledge Hut

NOVEMBER 17, 2023

Understanding SQL You must be able to write and optimize SQL queries because you will be dealing with enormous datasets as an Azure Data Engineer. To be an Azure Data Engineer, you must have a working knowledge of SQL (Structured Query Language), which is used to extract and manipulate data from relational databases.

Data Engineering 52

Data Engineering Data Engineer Engineering Scala 52

ProjectPro

JUNE 6, 2025

Its products are interesting, engaging, and simple to learn since data is analyzed quickly and iteratively with instant feedback. Provides high-level data security - Tableau equips you with the enterprise-grade security and governance mechanisms to keep data in the right hands, especially when scaling analytics throughout your organization.

Data Analysis Tools 45

Data Analysis Tools Data Analysis BI R (Programming) 45

Knowledge Hut

JUNE 30, 2023

Developed by the famous tech giant Microsoft, SQL Server is a durable DBMS that offers a vast range of features for the management of relational databases. They are used to organize data into different tables, which consist of rows and columns, and follow a relational model. Microsoft SQL Server: What is DBMS in SQL?

MySQL 52

MySQL Relational Database Medical Education 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.

BI 98

BI Business Intelligence Non-relational Database Certification 98

Cloudera

JANUARY 19, 2021

A processor is a pre-developed NiFi component used to integrate with: Traditional datastores: SFTP and Relational Databases for instance. Big data services: like Kafka and HBase. CFM has nearly 400 out-of-box processors for customers to configure in their data flows. . Enterprise Challenges with SLAs and Data Security.

Management 65

Management Big Data Ecosystem Kafka AWS 65

Knowledge Hut

JULY 24, 2023

It allows changes to be made at various levels of a database system without causing disruptions or requiring extensive modifications to the applications that rely on the data. What is Data Independence of DBMS? Data Independence in DBMS Example consider a database system that stores data in a file system at start.

Database Design 52

Database Design Relational Database Metadata Database 52

Knowledge Hut

SEPTEMBER 22, 2023

To provide their customers with scalable solutions, businesses rely on the expertise and abilities of data engineers. Additionally, as more companies use data to inform their decisions, data security will become even more important.

Certification 52

Certification Data Engineering Data Engineer IT 52

Edureka

FEBRUARY 7, 2023

Dynamic data masking serves several important functions in data security. It is possible to use Azure SQL Database, Azure SQL Managed Instance and Azure Synapse Analytics. It can be set up as a security policy on all SQL Databases in an Azure subscription. 24) How is ADLS Gen2 data security implemented?

Data Engineering 52

Data Engineering Data Engineer Engineering Data Lake 52

Silectis

JANUARY 3, 2021

Data lakes allow for more flexibility than a more rigid data warehouse. Data Lineage Data lineage describes the origin and changes to data over time Data Management Data management is the practice of collecting, maintaining, and utilizing data securely and effectively.

Data Engineering 40

Data Engineering Data Engineer Engineering Hadoop 40

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. Learning SQL is essential to comprehend the database and its structures.

Data Engineering 52

Data Engineering Data Engineer Engineering Certification 52

Knowledge Hut

OCTOBER 3, 2023

Additionally, for a job in data engineering, candidates should have actual experience with distributed systems, data pipelines, and related database concepts. Conclusion A position that fits perfectly in the current industry scenario is Microsoft Certified Azure Data Engineer Associate.

Data Engineering 52

Data Engineering Data Engineer Engineering Cloud Computing 52

Edureka

FEBRUARY 9, 2023

Here are some role-specific skills to consider if you want to become an Azure data engineer: Programming languages are used in the majority of data storage and processing systems. Data engineers must be well-versed in programming languages such as Python, Java, and Scala.

Data Engineering 52

Data Engineering Data Engineer Engineering Data Mining 52

Knowledge Hut

DECEMBER 28, 2023

There are two primary types of databases: relational and non-relational. Businesses utilize relational databases to store information in a tabular format. On the other hand, non-relational databases are less structured and can store data in numerous formats like documents, key-value pairs, graphs, and more.

Database 52

Database MySQL SQL Relational Database 52

AltexSoft

NOVEMBER 10, 2021

Prior to the recent advances in data management technologies, there were two main types of data stores companies could make use of, namely data warehouses and data lakes. Data warehouse. Poor data quality, reliability, and integrity. Issues with data security and governance. websites, etc.

Architecture 52

Architecture Data Lake Data Warehouse Metadata 52

Workfall

MARCH 21, 2023

SurrealDB is the solution for database administration, which includes general admin and user management, enforcing data security and control, performance monitoring, maintaining data integrity, dealing with concurrency transactions, and recovering information in the event of an unexpected system failure. src/main.rs(1):

PostgreSQL 68

PostgreSQL NoSQL Database Unstructured Data 68