ProjectPro

JUNE 6, 2025

Keep in mind that a hiring manager prefers applicants who have experience building data pipelines using raw datasets rather than organized ones. For a data engineer, technical skills should include computer science, database technologies, programming languages, data mining tools, etc.

Data Engineer 40

Data Engineer Data Engineering Recruitment Engineering 40

ProjectPro

JUNE 6, 2025

PySparkSQL introduced the DataFrame, a tabular representation of structured data that looks like a table in a relational database management system. PySpark SQL supports a variety of data sources, allowing SQL queries to be combined with code modifications, resulting in a powerful big data tool.

Big Data 40

Big Data Data Process Process Kafka 40

Knowledge Hut

DECEMBER 26, 2023

They use tools like Microsoft Power BI or Oracle BI to develop dashboards, reports, and Key Performance Indicator (KPI) scorecards. They should know SQL queries, SQL Server Reporting Services (SSRS), and SQL Server Integration Services (SSIS) and a background in Data Mining and Data Warehouse Design.

Data Science 97

Data Science BI Data Mining Business Intelligence 97

ProjectPro

JUNE 6, 2025

Analysis Layer: The analysis layer supports access to the integrated data to meet its business requirements. The data may be accessed to issue reports or to find any hidden patterns in the data. Data mining may be applied to data to dynamically analyze the information or simulate and analyze hypothetical business scenarios.

Data Lake 40

Data Lake Data Warehouse Cloud Hadoop 40

ProjectPro

JUNE 6, 2025

Among these are tools for general data manipulation like Pandas and specialized frameworks like PsychoPy. Python's three most common applications for data analysis include data mining , data processing, modeling, and visualization.

Data Analysis Tools 45

Data Analysis Tools Data Analysis BI R (Programming) 45

ProjectPro

SEPTEMBER 26, 2021

Big Data Engineers are professionals who handle large volumes of structured and unstructured data effectively. They are responsible for changing the design, development, and management of data pipelines while also managing the data sources for effective data collection.

Big Data 52

Big Data Data Engineer Data Engineering Engineering 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

Knowledge Hut

MARCH 7, 2024

Therefore, you can rest confident that our recommended software is reliable and potent enough to help you extract value from your data, whether you have your data pipeline and warehouse or are employing big data analytics providers. Very High-Performance Analytics is required for the big data analytics process.

Big Data 52

Big Data Data Analytics Data Mining MongoDB 52

Edureka

FEBRUARY 9, 2023

Certified Azure Data Engineers are frequently hired by businesses to convert unstructured data into useful, structured data that data analysts and data scientists can use. Emerging Jobs Report, data engineer roles are growing at a 35 percent annual rate. What does an Azure Data Engineer Do?

Data Engineer 52

Data Engineer Data Engineering Engineering Data Mining 52

ProjectPro

JUNE 6, 2025

Companies frequently hire certified Azure Data Engineers to convert unstructured data into useful, structured data that data analysts and data scientists can use. Data infrastructure, data warehousing, data mining, data modeling, etc.,

Data Engineer 49

Data Engineer Data Engineering Engineering Certification 49

Knowledge Hut

MAY 23, 2024

KNIME: KNIME is another widely used open-source and free data science tool that helps in data reporting, data analysis, and data mining. With this tool, data science professionals can quickly extract and transform data. Big Data Tools 23.

Data Science 52

Data Science MongoDB Programming Language BI 52

ProjectPro

JUNE 6, 2025

This data is used for various purposes, including website performance monitoring, security analysis, and user behavior tracking. Install different big data tools on the VM. Understand terms like "referrer" and "user agent" and the contents of log files—Discover Flume's role in log data processing and ingestion.

Cloud Computing 40

Cloud Computing Cloud Project Google Cloud 40

ProjectPro

AUGUST 24, 2021

Data Sourcing: Building pipelines to source data from different company data warehouses is fundamental to the responsibilities of a data engineer. So, work on projects that guide you on how to build end-to-end ETL/ELT data pipelines. Also, explore other alternatives like Apache Hadoop and Spark RDD.

Data Engineer 52

Data Engineer Data Engineering Coding Project 52

ProjectPro

JANUARY 19, 2022

Companies frequently hire certified Azure Data Engineers to convert unstructured data into useful, structured data that data analysts and data scientists can use. Data infrastructure, data warehousing, data mining, data modeling, etc.,

Data Engineer 52

Data Engineer Data Engineering Engineering Certification 52

Knowledge Hut

SEPTEMBER 6, 2023

Problem-Solving Abilities: Many certification courses provide projects and assessments which require hands-on practice of big data tools which enhances your problem solving capabilities. Networking Opportunities: While pursuing big data certification course you are likely to interact with trainers and other data professionals.

Big Data 52

Big Data Certification Hadoop Generalist 52

ProjectPro

JANUARY 25, 2022

PySparkSQL introduced the DataFrame, a tabular representation of structured data that looks like a table in a relational database management system. PySpark SQL supports a variety of data sources, allowing SQL queries to be combined with code modifications, resulting in a powerful big data tool.

Big Data 52

Big Data Data Process Process Kafka 52

ProjectPro

AUGUST 11, 2021

Analysis Layer: The analysis layer supports access to the integrated data to meet its business requirements. The data may be accessed to issue reports or to find any hidden patterns in the data. Data mining may be applied to data to dynamically analyze the information or simulate and analyze hypothetical business scenarios.

Data Lake 52

Data Lake Data Warehouse Cloud Hadoop 52

ProjectPro

JUNE 6, 2025

Ace your big data analytics interview by adding some unique and exciting Big Data projects to your portfolio. This blog lists over 20 big data analytics projects you can work on to showcase your big data skills and gain hands-on experience in big data tools and technologies.

Big Data 40

Big Data Coding Project Hadoop 40

ProjectPro

JUNE 6, 2025

What is Data Engineering ? Utilizing the Yelp Dataset Implementing Data Processing Tools Benefits of choosing an online system over a batch system. Problem Statement In this Hadoop project, you can analyze bitcoin data and implement a data pipeline through Amazon Web Services ( AWS ) Cloud.

Hadoop 40

Hadoop Project Big Data Media 40

U-Next

SEPTEMBER 23, 2022

Traditional data processing technologies have presented numerous obstacles in analyzing and researching such massive amounts of data. To address these issues, Big Data technologies such as Hadoop were established. These Big Data tools aided in the realization of Big Data applications. .

Big Data Ecosystem 40

Big Data Ecosystem Big Data Data Lake Education 40

ProjectPro

JUNE 24, 2021

Here are a few reasons why you should work on data analytics projects: Data analytics projects for grad students can help them learn big data analytics by doing instead of just gaining theoretical knowledge. Some amount of experience working on Python projects can be very helpful to build up data analytics skills.

Data Analytics 40

Data Analytics Project Insurance Hadoop 40

ProjectPro

MAY 31, 2021

Ace your big data interview by adding some unique and exciting Big Data projects to your portfolio. This blog lists over 20 big data projects you can work on to showcase your big data skills and gain hands-on experience in big data tools and technologies.

Big Data 52

Big Data Coding Project Hadoop 52

ProjectPro

APRIL 20, 2017

What is Data Engineering? Utilizing the Yelp Dataset Implementing Data Processing Tools Benefits of choosing an online system over a batch system. Fetching data through Apache Hadoop. Extracting data from APIs using Python. Uploading the data on HDFS. Utilizing PySpark for reading data.

Hadoop 40

Hadoop Big Data Coding Project 40