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

The advantage of gaining access to data from any device with the help of the internet has become possible because of cloud computing. The birth of cloud computing has been a boon for many individuals and the whole tech industry. and is accessed by data engineers with the help of NoSQL database management systems.

Data Engineering 49

Data Engineering Data Engineer Engineering Hadoop 49

ProjectPro

JUNE 6, 2025

Skills of a Data Engineer Apart from the existing skills of an ETL developer, one must acquire the following additional skills to become a data engineer. Cloud Computing Every business will eventually need to move its data-related activities to the cloud.

Data Engineering 59

Data Engineering Data Engineer Engineering ETL Tools 59

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. 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

Showcase Your Data Engineering Skills with ProjectPro's Complete Data Engineering Certification Course ! Google Trends shows the large-scale demand and popularity of Big Data Engineer compared with other similar roles, such as IoT Engineer, AI Programmer, and Cloud Computing Engineer. Who is a Big Data Engineer?

Big Data 40

Big Data Data Engineering Data Engineer Engineering 40

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

Knowledge Hut

FEBRUARY 2, 2024

Skills Required: Programming languages such as Python or R Cloud computing Artificial Intelligence and Machine Learning Deep Learning Statistics and Mathematics Natural Language Processing (NLP) Neural Networks. 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

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

ProjectPro

JUNE 6, 2025

One solution where you can effortlessly scale your resources and unlock the unlimited potential of computers is Cloud computing. Cloud computing offers immense opportunities for businesses and individuals alike, revolutionizing the way we store, process, and analyze data.

AWS 52

AWS Certification Data Analytics Big Data 52

ProjectPro

JUNE 6, 2025

Companies need ETL engineers to ensure data is extracted, transformed, and loaded efficiently, enabling accurate insights and decision-making. Source: LinkedIn The rise of cloud computing has further accelerated the need for cloud-native ETL tools , such as AWS Glue , Azure Data Factory , and Google Cloud Dataflow.

Data Engineering 40

Data Engineering Data Engineer Engineering ETL Tools 40

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. To do that, a data engineer is likely to be expected to learn big data tools.

Data Engineering 52

Data Engineering Data Engineer Engineering Amazon Web Services 52

ProjectPro

FEBRUARY 16, 2023

With so much riding on the efficiency of ETL processes for data engineering teams, it is essential to take a deep dive into the complex world of ETL on AWS to take your data management to the next level. AWS refers to Amazon Web Service, the most widely used cloud computing system.

AWS 52

AWS Data Management ETL Tools Management 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. These certifications can be done by giving an Amazon AWS exam.

AWS 52

AWS Cloud Computing Amazon Web Services Certification 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. There are some renowned cloud players like Amazon Web Services, Google Cloud, IBM Watson, etc.,

Data Science 52

Data Science Technology Cloud Computing Programming Language 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

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.

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

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 Visualization skills.

Data Engineering 52

Data Engineering Data Engineer Engineering Amazon Web Services 52

Airbnb Tech

APRIL 13, 2021

Most teams at Airbnb rely on the data warehouse (i.e., Minerva , Apache Druid , DataPortal , Apache Superset , SLA monitoring ) to make data-informed decisions. To take full advantage of the available resources, our team built a pipeline on top of the AWS Cost & Usage Report (CUR), a rich source of raw data.

AWS 52

AWS Raw Data Amazon Web Services Cloud 52

ProjectPro

SEPTEMBER 26, 2021

Many organizations are willing to pay 20-30% more to their Data Engineers than to Data Scientists. Google Trends shows the large-scale demand and popularity of Big Data Engineer compared with other similar roles, such as IoT Engineer, AI Programmer, and Cloud Computing Engineer. Who is a Big Data Engineer?

Big Data 52

Big Data Data Engineering Data Engineer Engineering 52

Knowledge Hut

APRIL 23, 2024

Big Data Uses in Cloud Computing Scalable and Affordable Data Processing and Storage: Cloud computing has become a beloved trend because it allows companies to leverage data processing and analytic services beyond their capability.

Big Data 52

Big Data Recruitment Transportation Retail 52

Monte Carlo

JUNE 14, 2023

Some organizations choose to still leverage an ETL pattern in the cloud, particularly for production pipelines where data contracts can help reduce data downtime. The term modern data stack refers to the multiple modular SaaS solutions that comprise the data platform and pipeline (more on those later).

Data Pipeline 52

Data Pipeline Architecture Data Lake Data Warehouse 52

Knowledge Hut

NOVEMBER 28, 2023

This can be easier when you are using existing cloud services. The trend is to participate in multi-cloud over cloud technology and have a good understanding of the underlying technologies that make up cloud computing.

Data Engineering 52

Data Engineering Data Engineer Engineering Generalist 52

Monte Carlo

AUGUST 19, 2023

Google BigQuery – Google’s cloud warehouse, BigQuery, provides a serverless architecture that allows for quick querying due to parallel processing, as well as separate storage and compare for scalable processing and memory. When you model data, you are creating a visual representation of data for storage in a data warehouse.

Building 52

Building BI Data Lake Data Governance 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

JUNE 6, 2025

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 40

Big Data Coding Project Hadoop 40

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