ProjectPro

JUNE 6, 2025

From working with raw data in various formats to the complex processes of transforming and loading data into a central repository and conducting in-depth data analysis using SQL and advanced techniques, you will explore a wide range of real-world databases and tools. stars and 1,004 reviews.

Data Engineering 45

Data Engineering Data Engineer Cloud Engineering 45

ProjectPro

JUNE 6, 2025

The process of creating logical data models is known as logical data modeling. Prepare for Your Next Big Data Job Interview with Kafka Interview Questions and Answers 2. How would you create a Data Model using SQL commands? You can also use the INSERT command to fill your tables with data.

Data Warehouse 53

Data Warehouse NoSQL PostgreSQL Relational Database 53

Knowledge Hut

APRIL 25, 2024

This article will discuss big data analytics technologies, technologies used in big data, and new big data technologies. Check out the Big Data courses online to develop a strong skill set while working with the most powerful Big Data tools and technologies.

Big Data 98

Big Data Technology NoSQL Hadoop 98

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. Ability to write, analyze, and debug SQL queries Solid understanding of ETL (Extract, Transfer, Load) tools, NoSQL, Apache Spark System, and relational DBMS.

Data Science 56

Data Science Data Mining Data Architect BI 56

ProjectPro

JUNE 6, 2025

Project Idea: Time Series Analysis with Facebook Prophet Python and Cesium Psycopg2, pyodbc, sqlalchemy When one hears the word ‘database’, they are likely to think of data stored in the form of tables having various rows and columns. The other types of databases include key-value, columnar, time-series, NoSQL , etc.

Data Engineering 40

Data Engineering Data Engineer Python Engineering 40

ProjectPro

JUNE 6, 2025

Additional libraries on top of Spark Core enable a variety of SQL, streaming, and machine learning applications. 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.

Hadoop 68

Hadoop Metadata Java Datasets 68

ProjectPro

JUNE 6, 2025

This process involves data collection from multiple sources, such as social networking sites, corporate software, and log files. 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 AWS 40

ProjectPro

JUNE 6, 2025

In 2024, the data engineering job market is flourishing, with roles like database administrators and architects projected to grow by 8% and salaries averaging $153,000 annually in the US (as per Glassdoor ). These trends underscore the growing demand and significance of data engineering in driving innovation across industries.

Data Engineering 59

Data Engineering Data Engineer Project Engineering 59

ProjectPro

JUNE 6, 2025

Data Engineering is the secret sauce to advances in data analysis and data science that we see nowadays. Data Engineering Roles - Who Handles What? As we can see, it turns out that the data engineering role requires a vast knowledge of different big data tools and technologies.

Data Science 40

Data Science Data Engineering Data Engineer Engineering 40

ProjectPro

JUNE 6, 2025

Classification Projects on Machine Learning for Beginners Recommender System Machine Learning Project for Beginners Build a Music Recommendation Algorithm using KKBox's Dataset Build a Text Classification Model with Attention Mechanism NLP Database technologies (SQL, NoSQL, etc.) such as Python/R, Hadoop, AWS, Azure, SQL/NoSQL , etc.

Data Engineering 40

Data Engineering Data Engineer Recruitment Engineering 40

ProjectPro

JUNE 6, 2025

Develop application programming interfaces (APIs) for data retrieval. Collaborate with leadership and senior management to develop and implement a data strategy to help the organization reach its goals and objectives. Gain expertise in big data tools and frameworks with exciting big data projects for students.

Data Architect 40

Data Architect Data Mining Programming Language Java 40

ProjectPro

JUNE 6, 2025

According to Reports, the real-world adoption of Apache Hive as a Data Warehousing tool has surged, with over 4412 companies worldwide, with 58.47% in the U.S., These statistics underscore the global significance of Hive as a critical component in the arsenal of big data tools.

Big Data 40

Big Data Architecture Project Hadoop 40

ProjectPro

JUNE 6, 2025

Data Engineers usually opt for database management systems for database management and their popular choices are MySQL, Oracle Database, Microsoft SQL Server, etc. When working with real-world data, it may only sometimes be the case that the information is stored in rows and columns.

Data Engineering 49

Data Engineering Data Engineer Engineering Hadoop 49

ProjectPro

JUNE 6, 2025

Furthermore, you will find a few sections on data engineer interview questions commonly asked in various companies leveraging the power of big data and data engineering. SQL works on data arranged in a predefined schema. Non-relational databases support dynamic schema for unstructured data.

Data Engineering 40

Data Engineering Data Engineer Engineering Hadoop 40

ProjectPro

JUNE 6, 2025

Data warehouses store highly transformed, structured data that is preprocessed and designed to serve a specific purpose. Data is generally not loaded into a data warehouse unless a use case has been defined for the data. Data from data warehouses is queried using SQL.

Data Lake 40

Data Lake Data Warehouse Cloud Hadoop 40

Knowledge Hut

DECEMBER 26, 2023

Certain roles like Data Scientists require a good knowledge of coding compared to other roles. Data Science also requires applying Machine Learning algorithms, which is why some knowledge of programming languages like Python, SQL, R, Java, or C/C++ is also required.

Data Science 97

Data Science BI Data Mining Business Intelligence 97

ProjectPro

JUNE 6, 2025

Top 15 Data Analysis Tools to Explore in 2025 | Trending Data Analytics Tools 1. Google Data Studio 10. Looker Data Analytics Tools Comparison Analyze Data Like a Pro with These Data Analysis Tools FAQs on Data Analysis Tools Data Analysis Tools- What are they?

Data Analysis Tools 45

Data Analysis Tools Data Analysis BI R (Programming) 45

ProjectPro

JUNE 6, 2025

Hadoop ecosystem has a very desirable ability to blend with popular programming and scripting platforms such as SQL, Java , Python, and the like which makes migration projects easier to execute. From Data Engineering Fundamentals to full hands-on example projects , check out data engineering projects by ProjectPro 2.

Hadoop 40

Hadoop Project Big Data Scala 40

ProjectPro

JUNE 6, 2025

Embarking on the journey of big data opens up a world of amazing career opportunities that can make a difference in people's lives. 2023 is the best time to explore this exciting field by pursuing the top big data certifications. Knowledge of SQL statements is required. And guess what?

Big Data 40

Big Data Certification Amazon Web Services Hadoop 40

ProjectPro

JUNE 6, 2025

Data Pipeline Amazon Data Pipeline is a fully managed service that simplifies building and managing data pipelines for moving and transforming data between AWS services. It offers high performance, low latency, and cost-effective data querying and analysis capabilities.

Data Ingestion 40

Data Ingestion Kafka Google Cloud AWS 40

Knowledge Hut

DECEMBER 21, 2023

With the help of these tools, analysts can discover new insights into the data. Hadoop helps in data mining, predictive analytics, and ML applications. Why are Hadoop Big Data Tools Needed? HIVE Hive is an open-source data warehousing Hadoop tool that helps manage huge dataset files.

Hadoop 52

Hadoop Big Data NoSQL Unstructured Data 52

ProjectPro

SEPTEMBER 9, 2021

Apache Hive and Apache Spark are the two popular Big Data tools available for complex data processing. To effectively utilize the Big Data tools, it is essential to understand the features and capabilities of the tools. Spark SQL, for instance, enables structured data processing with SQL.

Hadoop 52

Hadoop Java Big Data Tools SQL 52

AltexSoft

FEBRUARY 11, 2023

Hands-on experience with a wide range of data-related technologies The daily tasks and duties of a data architect include close coordination with data engineers and data scientists. It also involves creating a visual representation of data assets.

Data Architect 87

Data Architect Certification Generalist Metadata 87

ProjectPro

SEPTEMBER 26, 2021

Build an Awesome Job Winning Data Engineering Projects Portfoli o Technical Skills Required to Become a Big Data Engineer Database Systems: Data is the primary asset handled, processed, and managed by a Big Data Engineer. You must have good knowledge of the SQL and NoSQL database systems.

Big Data 52

Big Data Data Engineering Data Engineer Engineering 52

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

ProjectPro

JUNE 6, 2025

It focuses on the following key areas- Core Data Concepts- Understanding the basics of data concepts, such as relational and non-relational data, structured and unstructured data, data ingestion, data processing, and data visualization.

Certification 40

Certification Cloud Cloud Computing SQL 40

ProjectPro

APRIL 1, 2016

Sztanko announced at Computing’s 2016 Big Data & Analytics Summit that, they are using a combination of Big Data tools to tackle the data problem. Spark adoption is all a rage and streaming and real time data processing is the talk of the hour. March 31, 2016. March 31, 2016. Computing.co.uk

Hadoop 52

Hadoop BI Big Data Tools Big Data 52

ProjectPro

JANUARY 31, 2023

This process involves data collection from multiple sources, such as social networking sites, corporate software, and log files. 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 AWS 52

ProjectPro

JANUARY 19, 2022

Knowledge of popular big data tools like Apache Spark, Apache Hadoop, etc. Good communication skills as a data engineer directly works with the different teams. Learning Resources: How to Become a GCP Data Engineer How to Become a Azure Data Engineer How to Become a Aws Data Engineer 6.

Data Engineering 52

Data Engineering Data Engineer Engineering Amazon Web Services 52

Knowledge Hut

MARCH 27, 2024

You can check out the Big Data Certification Online to have an in-depth idea about big data tools and technologies to prepare for a job in the domain. To get your business in the direction you want, you need to choose the right tools for big data analysis based on your business goals, needs, and variety.

Big Data 52

Big Data Data Analytics MongoDB Big Data Tools 52

AltexSoft

JUNE 26, 2023

Such tables create the basis for business intelligence, traditional data analytics, and time series forecasting (if data about the same item is collected at different points of time.) Structured data is modeled to be easily searchable and occupy minimal storage space. No wonder only 0.5 and its value (male, red, $100, etc.).

Data Collection 52

Data Collection Machine Learning Unstructured Data Non-relational Database 52

ProjectPro

JUNE 6, 2025

Data engineers must thoroughly understand programming languages such as Python, Java, or Scala. Relational and non-relational databases are among the most common data storage methods. Learning SQL is essential to comprehend the database and its structures. You will learn to create a Big Data pipeline using Azure Data Factory.

Data Engineering 49

Data Engineering Data Engineer Engineering Certification 49

Knowledge Hut

APRIL 23, 2024

Business Intelligence v/s Data Science: Skill Requirement You will know there is a difference between these job roles as you compare data science v/s data analytics v/s business intelligence. aware of the ETL (extract, transform, load) tools that are helpful during the process.

Business Intelligence 52

Business Intelligence Data Science BI Unstructured Data 52

ProjectPro

APRIL 27, 2016

Innovations on Big Data technologies and Hadoop i.e. the Hadoop big data tools , let you pick the right ingredients from the data-store, organise them, and mix them. Now, thanks to a number of open source big data technology innovations, Hadoop implementation has become much more affordable.

Hadoop 40

Hadoop Big Data Technology Kafka 40

Knowledge Hut

DECEMBER 13, 2023

Micro Focus has rapidly amassed a robust portfolio of Big Data products in just a short amount of time. The Vertica Analytics Platform provides the fastest query processing on SQL Analytics, and Hadoop is built to manage a huge volume of structured data. This tool can process up to 80 terabytes of data.

Big Data 52

Big Data Consulting Amazon Web Services Hadoop 52

ProjectPro

MARCH 7, 2016

If your career goals are headed towards Big Data, then 2016 is the best time to hone your skills in the direction, by obtaining one or more of the big data certifications. Acquiring big data analytics certifications in specific big data technologies can help a candidate improve their possibilities of getting hired.

Big Data 40

Big Data Certification Hadoop Big Data Skills 40

Knowledge Hut

JUNE 20, 2023

Languages Python, SQL, Java, Scala R, C++, Java Script, and Python Tools Kafka, Tableau, Snowflake, etc. Skills A data engineer should have good programming and analytical skills with big data knowledge. The ML engineers act as a bridge between software engineering and data science.

Machine Learning 52

Machine Learning Data Engineering Data Engineer Engineering 52