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.

Data Engineering 45

Data Engineering Data Engineer Cloud Engineering 45

ProjectPro

JUNE 6, 2025

ELT involves three core stages- Extract- Importing data from the source server is the initial stage in this process. Load- The pipeline copies data from the source into the destination system, which could be a data warehouse or a data lake. Scalability ELT can be highly adaptable when using raw data.

Data Engineering 40

Data Engineering Data Engineer Engineering Data Lake 40

ProjectPro

JUNE 6, 2025

Did you know AWS S3 allows you to scale storage resources to meet evolving needs with a data durability of 99.999999999%? Data scientists and developers can upload raw data, such as images, text, and structured information, to S3 buckets. Users can explore data, uncover trends, and share their findings with stakeholders.

Machine Learning 40

Machine Learning AWS Amazon Web Services Deep Learning 40

ProjectPro

JUNE 6, 2025

If someone is looking to master the art and science of constructing batch pipelines, ProjectPro has got you covered with this comprehensive tutorial that will help you learn how to build your first batch data pipeline and transform raw data into actionable insights.

Data Pipeline 40

Data Pipeline Building Retail Data Ingestion 40

ProjectPro

JUNE 6, 2025

Data Warehousing: Data warehouses store massive pieces of information for querying and data analysis. Your organization will use internal and external sources to port the data. You must be aware of Amazon Web Services (AWS) and the data warehousing concept to effectively store the data sets.

Big Data 40

Big Data Data Engineering Data Engineer Engineering 40

ProjectPro

JUNE 6, 2025

Here's an example of a job description of an ETL Data Engineer below: Source: www.tealhq.com/resume-example/etl-data-engineer Key Responsibilities of an ETL Data Engineer Extract raw data from various sources while ensuring minimal impact on source system performance. Become an ETL Data Engineer with ProjectPro!

Data Engineering 40

Data Engineering Data Engineer Engineering ETL Tools 40

ProjectPro

JUNE 6, 2025

Cloud Computing Every business will eventually need to move its data-related activities to the cloud. And data engineers will likely gain the responsibility for the entire process. Amazon Web Services (AWS), Google Cloud Platform (GCP) , and Microsoft Azure are the top three cloud computing service providers.

Data Engineer 59

Data Engineer Data Engineering Engineering ETL Tools 59

Knowledge Hut

DECEMBER 29, 2023

Cloud Providers like Amazon Web Services, Google Cloud Platform, Microsoft Azure also provide hosting services. Learn Advanced Topic As a front-end developer, you will often build websites that interact with APIs and RESTful or SOAP services. The data in these web pages are static, i.e. they do not change.

Portfolio 98

Portfolio Amazon Web Services Programming Language Coding 98

Knowledge Hut

JANUARY 12, 2024

Data Engineer Data Engineers' responsibility is to process raw data and extract useful information, such as market insights and trend details, from the data. Education requirements: Bachelor's degrees in computer science or a related field are common among data engineers. It will enhance your experience.

Cloud Computing 98

Cloud Computing Cloud Computer Science Education 98

ProjectPro

JUNE 6, 2025

A neural network without non-linearities cannot find appropriate solutions and classify the data correctly for complex problems. It is a deep learning process where a model gets raw data as the input and all the various parts are trained simultaneously to produce the desired outcome with no intermediate tasks.

Deep Learning 65

Deep Learning Datasets Machine Learning Algorithm 65

Knowledge Hut

OCTOBER 8, 2023

In the cloud services and data engineering space, Amazon Web Services (AWS) is the leader, with a market share of 32%. These companies are constantly looking out for professionals who are familiar with and can develop newer technologies and systems for larger volumes of data. that you’ve engaged in.

AWS 52

AWS Data Engineering Data Engineer Engineering 52

Edureka

JULY 4, 2024

Frustrated due to that cumbersome big data? Overwhelmed with log files and sensor data? Amazon EMR is the right solution for it. It is a cloud-based service by Amazon Web Services (AWS) that simplifies processing large, distributed datasets using popular open-source frameworks, including Apache Hadoop and Spark.

AWS 52

AWS Amazon Web Services Hadoop Big Data 52

Knowledge Hut

SEPTEMBER 28, 2023

AWS (Amazon Web Service) is a cloud computing platform that provides a range of services virtually, such as storage, computing, deployment services, databases, platform as a service(PaaS), etc. Find the template As per the AWS Data Engineer Job description. AWS services keep changing constantly.

AWS 52

AWS Cloud Computing Amazon Web Services Certification 52

ProjectPro

JANUARY 19, 2022

The first step is to work on cleaning it and eliminating the unwanted information in the dataset so that data analysts and data scientists can use it for analysis. That needs to be done because raw data is painful to read and work with. Best suited for those looking for Platform-as-a-service (PaaS) provider.

Data Engineering 52

Data Engineering Data Engineer Engineering Amazon Web Services 52

Knowledge Hut

FEBRUARY 27, 2023

Data engineering is also about creating algorithms to access raw data, considering the company's or client's goals. Data engineers can communicate data trends and make sense of the data, which large and small organizations demand to perform major data engineer jobs in Singapore.

Data Engineering 52

Data Engineering Data Engineer Database-centric Pipeline-centric 52

AltexSoft

MAY 14, 2021

Modern technologies allow gathering both structured (data that comes in tabular formats mostly) and unstructured data (all sorts of data formats) from an array of sources including websites, mobile applications, databases, flat files, customer relationship management systems (CRMs), IoT sensors, and so on.

Big Data 78

Big Data Data Analytics IT NoSQL 78

ProjectPro

SEPTEMBER 26, 2021

Data Warehousing: Data warehouses store massive pieces of information for querying and data analysis. Your organization will use internal and external sources to port the data. You must be aware of Amazon Web Services (AWS) and the data warehousing concept to effectively store the data sets.

Big Data 52

Big Data Data Engineering Data Engineer Engineering 52

Knowledge Hut

NOVEMBER 28, 2023

Data Pipelines Data lakes continue to get new names in the same year, and it becomes imperative for data engineers to supplement their skills with data pipelines that help them work comprehensively with real-time streams, daily occurrence raw data, and data warehouse queries.

Data Engineering 52

Data Engineering Data Engineer Engineering Generalist 52

ProjectPro

SEPTEMBER 16, 2021

It is designed to handle large files, data sets , machine learning models, metrics, and code. ButterFree : A tool to build feature stores to help transform raw data into feature stores. It is used to build ETL pipelines for Feature Stores using Apache Spark.

Project 52

Project Amazon Web Services Machine Learning Data Science 52

ProjectPro

JUNE 6, 2025

By the end of 2022, the industry will experience a huge demand for data analysts, data scientists, and BI professionals with decent Tableau knowledge. Build a Job Winning Data Engineer Portfolio with Solved End-to-End Big Data Projects Basic Tableau Interview Questions 1. Tableau Server Interview Questions 14.

BI 40

BI Database-centric SQL Software Engineering 40

Knowledge Hut

APRIL 23, 2024

Big Data Use Cases in Banking and Financial Services Fraud Detection and Prevention: By examining vast amounts of transaction data and looking for patterns and anomalies suggestive of possible fraud, big data analytics assists banks and financial organizations in finding fraudulent activity.

Big Data 52

Big Data Recruitment Transportation Manufacturing 52

ProjectPro

AUGUST 24, 2021

Within no time, most of them are either data scientists already or have set a clear goal to become one. Nevertheless, that is not the only job in the data world. And, out of these professions, this blog will discuss the data engineering job role.

Data Engineering 52

Data Engineering Data Engineer Coding Project 52

ProjectPro

JANUARY 31, 2022

Provides Powerful Computing Resources for Data Processing Before inputting data into advanced machine learning models and deep learning tools, data scientists require sufficient computing resources to analyze and prepare it. Amazon Web Services , Google Cloud Platform, and Microsoft Azure support Snowflake.

Architecture 52

Architecture IT Data Warehouse Amazon Web Services 52

ProjectPro

AUGUST 18, 2021

By the end of 2022, the industry will experience a huge demand for data analysts, data scientists, and BI professionals with decent Tableau knowledge. Build a Job Winning Data Engineer Portfolio with Solved End-to-End Big Data Projects Basic Tableau Interview Questions 1. Tableau Server Interview Questions 14.

BI 40

BI Database-centric SQL Software Engineering 40

ProjectPro

APRIL 12, 2021

It is a deep learning process where a model gets raw data as the input and all the various parts are trained simultaneously to produce the desired outcome with no intermediate tasks. GPT3 can also do everything from creating spreadsheets to building complex CSS or even deploying Amazon Web Services (AWS) instances.

Deep Learning 40

Deep Learning Datasets Machine Learning Algorithm 40

ProjectPro

JUNE 6, 2025

You can use the World Happiness Report data for various data visualization projects, such as creating maps to show the geographical distribution of happiness scores, visualizing trends in happiness scores over time, and comparing different countries or regions based on their happiness scores. million comments, and 3.2K

Datasets 40

Datasets Data Science Project Google Cloud 40

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

Big data technologies used: Microsoft Azure, Azure Data Factory, Azure Databricks , Spark Big Data Architecture: This sample Hadoop real-time project starts off by creating a resource group in azure. To this group, we add a storage account and move the raw data. Extracting data from APIs using Python.

Hadoop 40

Hadoop Project Big Data Media 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. How do you Create a Good Big Data Project?

Big Data 52

Big Data Coding Project Hadoop 52