ProjectPro

JUNE 6, 2025

Read this blog to know more about the core AWS big data services essential for data engineering and their implementations for various purposes, such as big data engineering , machine learning, data analytics, etc. million organizations that want to be data-driven choose AWS as their cloud services partner.

AWS 40

AWS Data Engineer Data Engineering Engineering 40

ProjectPro

JUNE 6, 2025

Glue automatically generates ETL code, enabling users to quickly discover and understand the data's structure, clean inconsistencies, and perform transformations. This automation accelerates the data preparation phase and ensures clean, structured data is ready for training models.

Machine Learning 40

Machine Learning AWS Amazon Web Services Deep Learning 40

ProjectPro

JUNE 6, 2025

DynamoDB is a fully managed NoSQL database service provided by Amazon Web Services (AWS). DynamoDB uses SSD storage, and its data model is based on key-value pairs. However, MongoDB can perform well for complex queries and can handle a variety of data types, including unstructured and semi-structured data.

NoSQL 40

NoSQL MongoDB Database Amazon Web Services 40

ProjectPro

JUNE 6, 2025

It is like a central location where quality data from multiple databases are stored. Data warehouses typically function based on OLAP (Online Analytical Processing) and contain structured and semi-structured data from transactional systems, operational databases, and other data sources. PREVIOUS NEXT <

Data Warehouse 40

Data Warehouse Data Mining Google Cloud PostgreSQL 40

ProjectPro

JUNE 6, 2025

Here is a list of some of the best data warehouse tools available to help organizations harness the power of their data: Amazon Redshift Amazon Redshift is a fully managed data warehousing service provided by Amazon Web Services (AWS) - a leading cloud computing platform.

Data Storage 58

Data Storage PostgreSQL Data Warehouse AWS 58

ProjectPro

JUNE 6, 2025

Project Idea : Build a data engineering pipeline to ingest and transform data, focusing on runs, wickets, and strike rates. Use the ESPNcricinfo Ball-by-Ball Dataset to process match data. Store raw data in AWS S3, preprocess it using AWS Lambda, and query structured data in Amazon Athena.

Data Engineer 59

Data Engineer Data Engineering Project Engineering 59

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

Confluent

OCTOBER 3, 2019

We recently launched a new artificial intelligence (AI) data extraction API called Scrapinghub AutoExtract , which turns article and product pages into structured data. At Scrapinghub, we specialize in web data extraction , and our products empower everyone from programmers to CEOs to extract web data quickly and effectively.

Kafka 16

Kafka Cloud Amazon Web Services Google Cloud 16

ProjectPro

JUNE 6, 2025

Storage, Processing, & Analytics Following data collection, the stored data undergoes a series of transformative processes to prepare it for analysis. Based on scalability, performance, and data structure, data is stored in suitable storage systems, such as relational databases, NoSQL databases, or data lakes.

Data Science 40

Data Science Building Data Lake AWS 40

ProjectPro

JUNE 6, 2025

Thus, data engineers should have cloud skills to help organizations take benefits of the cloud platforms in terms of scalability, flexibility, security, and cost-effectiveness. The companies’ choice of cloud service providers depends on their data storage requirements.

Data Engineer 49

Data Engineer Data Engineering Engineering Hadoop 49

Netflix Tech

MARCH 5, 2019

Challenges & Opportunities in the Infra Data Space Security Events Platform for Anomaly Detection How can we develop a complex event processing system to ingest semi-structured data predicated on schema contracts from hundreds of sources and transform it into event streams of structured data for downstream analysis?

Cloud 75

Cloud Building Amazon Web Services Metadata 75

ProjectPro

JUNE 6, 2025

Big Data Engineer Salary by Skills The roles and responsibilities of a Big Data Engineer in an organization vary as per the business domain, type of the project, specific big data tools in use, IT infrastructure, technology stack, and a lot more.

Big Data 40

Big Data Data Engineer Data Engineering Engineering 40

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

ProjectPro

JUNE 6, 2025

Big data engineers leverage big data tools and technologies to process and engineer massive data sets or data stored in data storage systems like databases and data lakes. Big data is primarily stored in the cloud for easier access and manipulation to query and analyze data.

Big Data 45

Big Data Big Data Skills Scala Hadoop 45

Knowledge Hut

DECEMBER 26, 2023

The job of a data engineer is to develop models using machine learning to scan, label and organize this unstructured data. This process helps convert the unstructured data into structured data, which can easily be collected and interpreted using analytical tools. What is a Business Intelligence Engineer?

Data Engineer 98

Data Engineer Data Engineering Engineering Pipeline-centric 98

Knowledge Hut

FEBRUARY 6, 2024

PowerShell for windows: A cross-platform automation and configuration framework or tool, that deals with structured data, REST APIs and object models. AWS (Amazon Web Services): provide tooling and infrastructure resources readily available for DevOps programs customized as per your requirement.

Engineering 98

Engineering Programming Language Amazon Web Services Google Cloud 98

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

OCTOBER 5, 2023

When it comes to cloud computing and big data, Amazon Web Services (AWS) has emerged as a leading name. As businesses’ reliance on cloud and big data increases, so does the demand for professionals who have the necessary skills and knowledge in AWS.

Big Data 52

Big Data AWS Certification Amazon Web Services 52

Knowledge Hut

NOVEMBER 17, 2023

One popular cloud computing service is AWS (Amazon Web Services). Many people are going for Data Science Courses in India to leverage the true power of AWS. Many people are going for Data Science Courses in India to leverage the true power of AWS. What is Amazon Web Services (AWS)?

AWS 52

AWS Certification Data Science Amazon Web Services 52

U-Next

SEPTEMBER 7, 2022

Structuring data refers to converting unstructured data into tables and defining data types and relationships based on a schema. Data lakes, however, are sometimes used as cheap storage with the expectation that they are used for analytics. Amazon Web Services S3 . Different Storage Options

Data Lake 52

Data Lake Data Warehouse Unstructured Data Amazon Web Services 52

Edureka

JUNE 1, 2023

Without spending a lot of money on hardware, it is possible to acquire virtual machines and install software to manage data replication, distributed file systems, and entire big data ecosystems. Nasdaq moved from a legacy on-premises data warehouse to an Amazon Web Services (AWS) data warehouse powered by an Amazon Redshift cluster.

AWS 52

AWS Data Analytics Cloud Amazon Web Services 52

DareData

JANUARY 30, 2023

Airflow is written in Python and has a web-based user interface for managing and monitoring pipelines. AWS Glue: A fully managed data orchestrator service offered by Amazon Web Services (AWS). Azure Data Factory: A cloud-based data integration service offered by Microsoft.

Data Engineer 52

Data Engineer Data Engineering Engineering NoSQL 52

ProjectPro

JUNE 6, 2025

. · Tableau also provides a data blending facility. Which Tableau data types are preferable while dealing with structured data? We can prefer using Text (string) values and numerical values as the two popular data types while dealing with structured data in Tableau.

BI 40

BI Database-centric SQL Software Engineer 40

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 ETL Tools Management 52

AltexSoft

AUGUST 29, 2023

Data sources can be broadly classified into three categories. Structured data sources. These are the most organized forms of data, often originating from relational databases and tables where the structure is clearly defined. Semi-structured data sources.

Data Lake 52

Data Lake Architecture IT Amazon Web Services 52

Edureka

AUGUST 27, 2024

Things to Know About Amazon Quicksight Benefits of Amazon Quicksight Conclusion FAQs What is Amazon Quicksight? Amazon Quicksight is a cloud-based ML-powered serverless platform for business intelligence, part of Amazon Web Services (AWS).

BI 52

BI Business Intelligence AWS Amazon Web Services 52

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

Knowledge Hut

MARCH 18, 2024

Let’s look at these in detail: SOAP (Simple Object Access Protocol) Web Services Soap is simply a protocol designed with the motive that programs that are built on different programming languages can easily exchange information. It is a message protocol specification for exchanging structured data.

Cloud Computing 52

Cloud Computing Amazon Web Services Programming Language Transportation 52

ProjectPro

JANUARY 31, 2022

Multi-Cloud Support- Snowflake is a fully managed data warehouse deployed across various clouds while maintaining the same intuitive user interface. Snowflake meets its users where they are most at ease, reducing the need to transfer data over the internet from their cloud environment to Snowflake.

Architecture 52

Architecture IT Data Warehouse Amazon Web Services 52

Knowledge Hut

APRIL 25, 2023

It provides a flexible data model that can handle different types of data, including unstructured and semi-structured data. Key features: Flexible data modeling High scalability Support for real-time analytics 4. Key features: Instant elasticity Support for semi-structured data Built-in data security 5.

Data Engineer 52

Data Engineer Data Engineering Engineering Google Cloud 52

Rockset

DECEMBER 31, 2022

Instead, databases such as DynamoDB have been designed to manage the new influx of data. DynamoDB is an Amazon Web Services database system that supports data structures and key-valued cloud services. Because of this, standard transactional databases aren’t always the best fit.

Non-relational Database 52

Non-relational Database Healthcare Amazon Web Services NoSQL 52

Knowledge Hut

DECEMBER 13, 2023

Micro Focus has rapidly amassed a robust portfolio of Big Data products in just a short amount of time. The Vertica Analytics Platform provides the fastest query processing on SQL Analytics, and Hadoop is built to manage a huge volume of structured data. It enables distributed data storage and complex computations.

Big Data 52

Big Data Consulting Amazon Web Services Hadoop 52

Monte Carlo

APRIL 24, 2023

Amazon S3 and/or Lake Formation Amazon S3 is a popular storage platform to build and store data lakes thanks to its high availability and low latency access. It’s especially attractive for organizations that would like to leverage other complementary Amazon Web Services (AWS) services or database engines like Aurora.

Data Lake 52

Data Lake Google Cloud Data Warehouse Cloud Storage 52

Rockset

FEBRUARY 24, 2023

Example message: x16cheeseburgerx02xdcx07x9ax99x19x41x12xcdxccx0cx40xcexfax8excax1f Protocol buffers (usually called protobuf) Protobuf is a compact binary format that, like Avro, is designed for efficient serialization and deserialization of structured data.

Kafka 52

Kafka AWS Amazon Web Services Programming Language 52

Edureka

JULY 16, 2024

Introduction Amazon Redshift, a cloud data warehouse service from Amazon Web Services (AWS), will directly query your structured and semi-structured data with SQL. A fast, secure, and cost-effective, petabyte-scale, managed cloud object storage platform.

AWS 40

AWS Data Warehouse Amazon Web Services Business Intelligence 40

ProjectPro

SEPTEMBER 26, 2021

Big Data Engineer Salary by Skills The roles and responsibilities of a Big Data Engineer in an organization vary as per the business domain, type of the project, specific big data tools in use, IT infrastructure, technology stack, and a lot more.

Big Data 52

Big Data Data Engineer Data Engineering Engineering 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