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.

Data Engineer 40

Data Engineer Data Engineering Engineering ETL Tools 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 Engineer 98

Data Engineer Data Engineering Engineering Pipeline-centric 98

ProjectPro

JUNE 6, 2025

The Flask server, receiving insights from Spark, creates intuitive dashboards showcasing the analyzed Twitter data. Source- Real-time Twitter Data Analytics Project Using Flume AWS Kinesis Amazon Kinesis is a managed streaming service on Amazon Web Services (AWS) designed for handling real-time data at scale.

Data Ingestion 40

Data Ingestion Kafka Google Cloud AWS 40

U-Next

SEPTEMBER 7, 2022

Structuring data refers to converting unstructured data into tables and defining data types and relationships based on a schema. Autonomous data warehouse from Oracle. . What is Data Lake? . Essentially, a data lake is a repository of raw data from disparate sources.

Data Lake 52

Data Lake Data Warehouse Unstructured Data Amazon Web Services 52

ProjectPro

FEBRUARY 16, 2023

Data integration with ETL has evolved from structured data stores with high computing costs to natural state storage with read operation alterations thanks to the agility of the cloud. Data integration with ETL has changed in the last three decades.

AWS 52

AWS Data Management Management ETL Tools 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

AltexSoft

AUGUST 29, 2023

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. This article explains what a data lake is, its architecture, and diverse use cases. Data sources can be broadly classified into three categories.

Data Lake 52

Data Lake Architecture IT Amazon Web Services 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

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 also provides a data blending facility. Which Tableau data types are preferable while dealing with structured data?

BI 40

BI Database-centric SQL Software Engineer 40

AltexSoft

MAY 14, 2021

A single car connected to the Internet with a telematics device plugged in generates and transmits 25 gigabytes of data hourly at a near-constant velocity. And most of this data has to be handled in real-time or near real-time. Variety is the vector showing the diversity of Big Data.

Big Data 78

Big Data Data Analytics IT NoSQL 78

Monte Carlo

APRIL 24, 2023

By accommodating various data types, reducing preprocessing overhead, and offering scalability, data lakes have become an essential component of modern data platforms , particularly those serving streaming or machine learning use cases. AWS is one of the most popular data lake vendors.

Data Lake 52

Data Lake Google Cloud Data Warehouse Cloud Storage 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

Monte Carlo

JUNE 14, 2023

Amazon Redshift – Amazon Redshift, one of the most widely used options, sits on top of Amazon Web Services (AWS) and easily integrates with other data tools in the space. Does data quality need to be high will directionally accurate suffice? Let the data drive the data pipeline architecture.

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 also provides a data blending facility. Which Tableau data types are preferable while dealing with structured data?

BI 40

BI Database-centric SQL Software Engineer 40

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. Google BigQuery receives the structured data from workers.

Data Engineer 52

Data Engineer Data Engineering Coding Project 52

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.

Datasets 40

Datasets Data Science Project Google Cloud 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

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