ProjectPro

JUNE 6, 2025

The field of data engineering is focused on ensuring that data is accessible, reliable, and easily processed by other teams within an organization, such as data analysts and data scientists. It involves various technical skills, including database design, data modeling, and ETL (Extract, Transform, Load) processes.

Data Engineering 49

Data Engineering Data Engineer Engineering Hadoop 49

ProjectPro

JUNE 6, 2025

Automatically created for primary and unique constraints, ensuring data uniqueness and enabling rapid retrieval of specific records. Explain the concept of a charm trap in database design. NoSQL databases, by contrast, may sacrifice some aspects of ACID for increased scalability and performance.

Data Engineering 40

Data Engineering Data Engineer Engineering NoSQL 40

ProjectPro

JUNE 6, 2025

Businesses are estimated to have invested $215 billion in the last few years in building big data and business analytics solutions. This has led to a huge demand for big data analytics professionals across organizations worldwide. Data Integration and ETL Tools ETL is necessary for data modeling and vice versa.

NoSQL 40

NoSQL ETL Tools SQL Big Data 40

Knowledge Hut

JANUARY 18, 2024

There is a huge opportunity for freshers with an undergraduate or master's degree in computer modeling, analytics, science, or mathematics to get a job in this field. Check out the  KnowledgeHut best Data Science certification to advance your career. Use statistical approaches to analyze data and generate reports.

Data Science 98

Data Science Business Analyst Data Architect ETL Method 98

ProjectPro

JUNE 6, 2025

Snowflake has emerged as a leading cloud data platform, revolutionizing how organizations handle their data. With incredible scalability, robustness, and versatility, Snowflake has become the go-to solution for modern data analytics and warehousing. Understanding of continuous data protection methods.

Certification 40

Certification Data Pipeline Hadoop AWS 40

ProjectPro

JUNE 6, 2025

A master’s degree in statistics, mathematics, or data science for an advanced role. Previous expertise in database architecture, development, or similar domains Knowledge of relational databases such as MySQL, Oracle, and SQL Server Basic data analytics, management, design, and operating systems skills.

Data Architect 40

Data Architect Data Mining Programming Language Java 40

ProjectPro

JUNE 6, 2025

Whether you are transitioning into data science or a beginner looking for tips to become a successful data analyst , this blog has all the information you need to build a career in data analytics. You will learn how to find your ideal data analytics career path based on your skill set and educational background.

Consulting 40

Consulting Healthcare Programming Language BI 40

ProjectPro

JUNE 6, 2025

Cloud Concepts Learn about the fundamentals of cloud computing , cloud data services, SAAS, PAAS, IAAS services, distributed computing, storage and compute in the cloud, and cloud data architectures. Azure Data Fundamentals: Explore Data Analytics in Azure- 3 modules. Explore fundamentals of real-time analytics.

Certification 45

Certification Google Cloud Data Lake SQL 45

AltexSoft

FEBRUARY 11, 2023

It serves as a foundation for the entire data management strategy and consists of multiple components including data pipelines; , on-premises and cloud storage facilities – data lakes , data warehouses , data hubs ;, data streaming and Big Data analytics solutions ( Hadoop , Spark , Kafka , etc.);

Data Architect 87

Data Architect Certification Generalist Big Data 87

ProjectPro

JUNE 6, 2025

Furthermore, a deep understanding of database design choices, such as normalization, denormalization, and partitioning, can significantly impact query performance and overall database efficiency. With these Data Science Projects in Python , your career is bound to reach new heights.

SQL 40

SQL Relational Database Business Analyst Database 40

Knowledge Hut

JUNE 23, 2023

You can simultaneously work on your skills, knowledge, and experience and launch your career in data engineering. Soft Skills You should have the right verbal and written communication skills required for a data engineer. Step 3 - How to Choose Project Management Courses for Data Engineer Learning Path?

Data Engineering 52

Data Engineering Data Engineer Engineering Non-relational Database 52

Knowledge Hut

DECEMBER 26, 2023

They suggest recommendations to management to increase the efficiency of the business and develop new analytical models to standardize data collection. This role is much more technical as compared to the other Data Science roles. They are also responsible for testing databases to ensure reliable operation.

Data Science 97

Data Science BI Business Intelligence Data Mining 97

ProjectPro

JUNE 6, 2025

SQL is considered the industry-standard programming language for extracting data, analyzing data, performing complex analysis, and validating hypotheses. SQL is a highly desirable skill if you plan to become a data analyst or a data scientist. Find the top ten users who have traveled the furthest.

SQL 40

SQL MySQL MongoDB Database 40

Knowledge Hut

DECEMBER 29, 2023

Specific Skills and Knowledge: Advanced architecture design Business intelligence Big Data systems engineering Data warehousing Database design and management C. Career Options: Information modeling engineer Data administrator Database architect D.

Data Science 98

Data Science Data Mining Deep Learning Programming Language 98

ProjectPro

JUNE 6, 2025

Azure Cosmos DB Pricing Azure Cosmos DB Tutorial: Getting Started with NoSQL Database Real-World Applications of Azure Cosmos DB Boosting Performance in Cosmos DB: Top Tips and Techniques Azure Cosmos DB Project Ideas Enhance Your Data Management Skills with ProjectPro's Guided Azure Projects! Cosmos DB is a NoSQL database.

Database 40

Database Management NoSQL MongoDB 40

Rockset

MARCH 5, 2021

Extending this analogy to the world of data analytics: “time” is query latency and “energy” is compute cost. How Rockset handles space-time tradeoff On the other hand, Rockset is built for real-time analytics. Using the index will save you a LOT of time and energy. What has this got to do with Snowflake?

Cloud Storage 52

Cloud Storage Data Ingestion Data Warehouse Computer Science 52

ProjectPro

JUNE 6, 2025

Skills/Knowledge Required For The Certification Exam- Candidates taking the Professional Cloud Database Engineer certification exam should deeply understand database design and modeling and be familiar with Google Cloud database services. Let ProjectPro be your launchpad to success!

Google Cloud 40

Google Cloud Certification Cloud Machine Learning 40

Edureka

FEBRUARY 12, 2024

Exam Level- Specialty Exam Format- Multiple preference, multiple answer Prerequisite- None Exam Duration- one hundred seventy mins Cost- $300 USD AWS Certified Database – Specialty This certification is designed for folks who paintings substantially with AWS database offerings.

AWS 52

AWS Certification Cloud Computing Amazon Web Services 52

Knowledge Hut

NOVEMBER 29, 2023

The exam will include areas like designing and implementing database solutions for Microsoft Azure SQL server and Microsoft SQL Database, designing for scalability, high availability, and disaster recovery, managing and monitoring Azure’s database implementations, and designing and implementing security.

Certification 52

Certification Big Data Machine Learning Data Lake 52

Knowledge Hut

JUNE 28, 2023

Other options include: Data analytics certificate and training from Google, Business analysis online training courses from LinkedIn, Certification for business analyst from Microsoft, and more. A solid grasp of database design and data modelling is also required.

Business Intelligence 52

Business Intelligence Portfolio BI Business Analyst 52

Knowledge Hut

OCTOBER 8, 2023

AWS Certified Database- Specialty This AWS Specialty certification validates a professional’s comprehension of all the AWS database services and optimized database integration that adds value to the business. The exam requires candidates to understand the AWS ecosystem, big data technologies, and data analytics concepts.

AWS 52

AWS Certification Cloud Computing Architecture 52

dbt Developer Hub

MARCH 1, 2022

I’ll tell it in three parts: State of Analytics Before AE Selling & Starting the AE team Technology & Database Design State of Analytics Before Analytics Engineering ​ Smartsheet, in general, has a great analytics setup. Strong data engineering and data analytics teams.

Engineering 52

Engineering Database Design Database Data Warehouse 52

Knowledge Hut

AUGUST 18, 2023

AWS Certified Data Analytics – Specialty (a) Certification Overview The AWS Certified Data Analytics – Specialty certification focuses on validating an individual's expertise in designing, building, securing, & maintaining analytics solutions on AWS. (b) Specialty 1.

AWS 52

AWS Certification Amazon Web Services Cloud 52

ProjectPro

MARCH 15, 2016

These two components define Hadoop, as it gained importance in data storage and analysis, over the legacy systems, due to its distributed processing framework. Get FREE Access to Data Analytics Example Codes for Data Cleaning, Data Munging, and Data Visualization Let’s take a look at some Hadoop use cases in various industries.

Hadoop 40

Hadoop Retail Banking Healthcare 40

Knowledge Hut

DECEMBER 22, 2023

They ensure the quality of IT services while analyzing business requirements using data analytics. Hard Skills Data analysis: Technical business analysts must have strong data analytics skills. They must analyze complex data to identify trends and patterns.

Business Analyst 52

Business Analyst Portfolio Certification Education 52

Rockset

DECEMBER 9, 2021

Embracing SQL as the standard for real-time data analytics is the most affordable and accessible choice. It can be the right choice when you have massive datasets that require deduplication and other preprocessing before ingestion into your real-time analytics database.

Transportation 52

Transportation BI SQL Data Warehouse 52

Knowledge Hut

SEPTEMBER 6, 2023

Passing this certification means one’s mastery over the workings of the IBM Db2 database on the z/OS operating system. Skills acquired: CDP comprises the below specializations.

Certification 52

Certification Database MongoDB MySQL 52

ProjectPro

JUNE 6, 2025

Big data in healthcare is used for reducing cost overhead, curing diseases, improving profits, predicting epidemics and enhancing the quality of human life by preventing deaths. Here begins the journey through big data in healthcare highlighting the prominently used applications of big data in healthcare industry.

Healthcare 45

Healthcare Big Data Project Hospitality 45

AltexSoft

JULY 29, 2022

Developed in 2006 by Doug Cutting and Mike Cafarella to run the web crawler Apache Nutch, it has become a standard for Big Data analytics. a suitable technology to implement data lake architecture. As a result, today we have a huge ecosystem of interoperable instruments addressing various challenges of Big Data.

Hadoop 59

Hadoop Big Data Google Cloud NoSQL 59

Rockset

APRIL 15, 2022

This ensures that queries access the latest, correct version of data. It also prevents data bloat that would hamper storage efficiency and query speeds. We'll be publishing more posts in the series in the near future, so subscribe to our blog so you don't miss them!

Analytics Application 52

Analytics Application Data Warehouse Kafka Raw Data 52

ProjectPro

MARCH 16, 2015

Big data in healthcare is used for reducing cost overhead, curing diseases, improving profits, predicting epidemics and enhancing the quality of human life by preventing deaths. Here begins the journey through big data in healthcare highlighting the prominently used applications of big data in healthcare industry.

Healthcare 40

Healthcare Big Data Project Hospitality 40