ProjectPro

JUNE 6, 2025

Most of us have observed that data scientist is usually labeled the hottest job of the 21st century, but is it the only most desirable job? No, that is not the only job in the data world. Analyzing Amazon customer reviews helps identify user sentiment, recurring product issues, and opportunities to improve product quality.

Data Engineering 59

Data Engineering Data Engineer Project Engineering 59

ProjectPro

JUNE 6, 2025

Today, data engineers are constantly dealing with a flood of information and the challenge of turning it into something useful. The journey from raw data to meaningful insights is no walk in the park. It requires a skillful blend of data engineering expertise and the strategic use of tools designed to streamline this process.

Data Pipeline 49

Data Pipeline Google Cloud Kafka AWS 49

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 Storage- Processed data needs a destination for storage.

Data Pipeline 40

Data Pipeline Building Data Ingestion Retail 40

ProjectPro

JUNE 6, 2025

FAQs on Data Engineering Skills Mastering Data Engineering Skills: An Introduction to What is Data Engineering Data engineering is the process of designing, developing, and managing the infrastructure needed to collect, store, process, and analyze large volumes of data. 2) Does data engineering require coding?

Data Engineering 49

Data Engineering Data Engineer Engineering Hadoop 49

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

ETL is a process that involves data extraction, transformation, and loading from multiple sources to a data warehouse, data lake, or another centralized data repository. An ETL developer designs, builds and manages data storage systems while ensuring they have important data for the business.

Data Engineering 59

Data Engineering Data Engineer Engineering ETL Tools 59

Knowledge Hut

DECEMBER 26, 2023

Amazon Web Services Amazon Web Services (AWS) offers on-demand Cloud computing tools and APIs to enterprises that want distributed computing capabilities. It provides virtual environments in which users can load and deploy various applications and services.

Cloud Computing 98

Cloud Computing Cloud Amazon Web Services AWS 98

ProjectPro

JUNE 6, 2025

An ETL (Extract, Transform, Load) Data Engineer is responsible for designing, building, and maintaining the systems that extract data from various sources, transform it into a format suitable for data analysis, and load it into data warehouses, lakes, or other data storage systems.

Data Engineering 40

Data Engineering Data Engineer Engineering ETL Tools 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

Cloud computing offers immense opportunities for businesses and individuals alike, revolutionizing the way we store, process, and analyze data. One of the leading cloud service providers, Amazon Web Services (AWS ), offers powerful tools and services that can propel your data analysis endeavors to new heights.

AWS 52

AWS Certification Data Analytics Big Data 52

ProjectPro

JUNE 6, 2025

Table of Contents What is Real-Time Data Ingestion? For this example, we will clean the purchase data to remove duplicate entries and standardize product and customer IDs. They also enhance the data with customer demographics and product information from their databases.

Data Ingestion 40

Data Ingestion Kafka Google Cloud AWS 40

Knowledge Hut

DECEMBER 26, 2023

Businesses benefit at large with these data collection and analysis as they allow organizations to make predictions and give insights about products so that they can make informed decisions, backed by inferences from existing data, which, in turn, helps in huge profit returns to such businesses. What is the role of a Data Engineer?

Data Engineering 98

Data Engineering Data Engineer Engineering Pipeline-centric 98

Knowledge Hut

FEBRUARY 2, 2024

Cloud Computing Course As more and more businesses from various fields are starting to rely on digital data storage and database management, there is an increased need for storage space. And what better solution than cloud storage? Skills Required: Technical skills such as HTML and computer basics.

Programming Language 98

Programming Language Amazon Web Services Java Cloud Computing 98

ProjectPro

FEBRUARY 8, 2023

But this data is not that easy to manage since a lot of the data that we produce today is unstructured. In fact, 95% of organizations acknowledge the need to manage unstructured raw data since it is challenging and expensive to manage and analyze, which makes it a major concern for most businesses.

AWS 98

AWS Scala Metadata Data Lake 98

AltexSoft

AUGUST 29, 2023

In 2010, a transformative concept took root in the realm of data storage and analytics — a data lake. The term was coined by James Dixon , Back-End Java, Data, and Business Intelligence Engineer, and it started a new era in how organizations could store, manage, and analyze their data. Raw data store section.

Data Lake 52

Data Lake Architecture IT Amazon Web Services 52

Edureka

JULY 4, 2024

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. What is EMR in AWS?

AWS 52

AWS Amazon Web Services Hadoop Big Data 52

Edureka

JUNE 1, 2023

Data Analytics tools and technologies offer opportunities and challenges for analyzing data efficiently so you can better understand customer preferences, gain a competitive advantage in the marketplace, and grow your business. What is Data Analytics? Data analytics is the process of converting raw data into actionable insights.

AWS 52

AWS Data Analytics Cloud Amazon Web Services 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

AltexSoft

MAY 14, 2021

A growing number of companies now use this data to uncover meaningful insights and improve their decision-making, but they can’t store and process it by the means of traditional data storage and processing units. Key Big Data characteristics. Data storage and processing.

Big Data 78

Big Data Data Analytics IT NoSQL 78

Monte Carlo

APRIL 24, 2023

Data lakes are useful, flexible data storage repositories that enable many types of data to be stored in its rawest state. Traditionally, after being stored in a data lake, raw data was then often moved to various destinations like a data warehouse for further processing, analysis, and consumption.

Data Lake 52

Data Lake Google Cloud Data Warehouse Cloud Storage 52

ProjectPro

FEBRUARY 25, 2022

Each stage of the data pipeline passes processed data to the next step, i.e., it gives the output of one phase as input data into the next phase. Data Preprocessing- This step entails collecting raw and inconsistent data selected by a team of experts.

Machine Learning 52

Machine Learning Building Amazon Web Services AWS 52

ProjectPro

JUNE 9, 2021

Data Science- Definition Data Science is an interdisciplinary branch encompassing data engineering and many other fields. Data Science involves applying statistical techniques to raw data, just like data analysts, with the additional goal of building business solutions.

Data Engineering 52

Data Engineering Data Engineer Engineering Amazon Web Services 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

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

Knowledge Hut

NOVEMBER 16, 2023

Cloud computing, along with data science has been the buzzword for quite some time now. Companies have moved towards cloud architecture for their data storage and computing needs. Microsoft Azure is one such public cloud computing platform that provides a range of cloud services for computing, storing, and networking.

Data Science 52

Data Science Technology Programming Language Cloud Computing 52

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

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. Tableau allows us to connect and pull data from various platforms. Tableau Server Interview Questions 14. Mention all the primary components of the Tableau Server.

BI 40

BI Database-centric SQL Software Engineer 40

Monte Carlo

AUGUST 19, 2023

We’ll cover: What is a data platform? Below, we share what the “basic” data platform looks like and list some hot tools in each space (you’re likely using several of them): The modern data platform is composed of five critical foundation layers. Data Storage and Processing The first layer?

Building 52

Building BI Data Lake Data Governance 52

Monte Carlo

JUNE 14, 2023

In this post, we will help you quickly level up your overall knowledge of data pipeline architecture by reviewing: Table of Contents What is data pipeline architecture? Why is data pipeline architecture important? This is frequently referred to as a 5 or 7 layer (depending on who you ask) data stack like in the image below.

Data Pipeline 52

Data Pipeline Architecture Data Lake Data Warehouse 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. Tableau allows us to connect and pull data from various platforms. Tableau Server Interview Questions 14. Mention all the primary components of the Tableau Server.

BI 40

BI Database-centric SQL Software Engineer 40

ProjectPro

JUNE 6, 2025

Components Of Feature Store In Machine Learning There are several components in a feature store- Data Transformation, Data Storage, Data Serving, ML Monitoring, and ML Feature Registry. Data Storage Data storage is like a wardrobe that keeps your favorite outfits neatly organized.

Machine Learning 45

Machine Learning AWS Google Cloud Data Science 45

ProjectPro

MAY 31, 2021

To build a big data project, you should always adhere to a clearly defined workflow. Before starting any big data project, it is essential to become familiar with the fundamental processes and steps involved, from gathering raw data to creating a machine learning model to its effective implementation.

Big Data 52

Big Data Coding Project Hadoop 52