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.

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AWS Data Engineering Data Engineer Engineering 40

ProjectPro

JUNE 6, 2025

Apache NiFi Apache NiFi is a commonly used open-source data integration tool for data routing, transformation, and system mediation. NiFi's user-friendly interface allows users to design complex data flows effortlessly, making it an excellent choice for data ingestion and routing tasks.

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Data Pipeline Building Retail Data Ingestion 40

phData: Data Engineering

FEBRUARY 21, 2025

The Cloud represents an iteration beyond the on-prem data warehouse, where computing resources are delivered over the Internet and are managed by a third-party provider. Examples include: Amazon Web Services (AWS), Microsoft Azure, and Google Cloud Platform (GCP). Data integrations and pipelines can also impact latency.

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ProjectPro

JUNE 6, 2025

Using familiar SQL as Athena queries on raw data stored in S3 is easy; that is an important point, and you will explore real-world examples related to this in the latter part of the blog. It is compatible with Amazon S3 when it comes to data storage data as there is no requirement for any other storage mechanism to run the queries.

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ProjectPro

JUNE 6, 2025

Smooth Integration with other AWS tools AWS Glue is relatively simple to integrate with data sources and targets like Amazon Kinesis , Amazon Redshift, Amazon S3, and Amazon MSK. It is also compatible with other popular data storage that may be deployed on Amazon EC2 instances.

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ProjectPro

JUNE 6, 2025

These services provide scalable, reliable, and cost-effective solutions for businesses and developers. The Demand for AWS Data Stores The demand for AWS databases refers to the growing need and popularity of using Amazon Web Services (AWS) to host and manage various databases for businesses and organizations.

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ProjectPro

JUNE 6, 2025

This certification program is designed to equip individuals with a strong foundation in big data engineering principles, techniques, and practices. It covers various aspects of big data, including data ingestion, storage, processing, and analysis.

Big Data 40

Big Data Certification Amazon Web Services Hadoop 40

ProjectPro

JUNE 6, 2025

Apache Kafka offers a robust solution for permanent data storage in a distributed, durable, and fault-tolerant cluster. This ensures that streams of data are not only processed efficiently but also stored securely. Kafka's distributed architecture enables seamless scalability by allowing the addition of new nodes to the cluster.

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Monte Carlo

FEBRUARY 20, 2024

At the heart of every data-driven decision is a deceptively simple question: How do you get the right data to the right place at the right time? The growing field of data ingestion tools offers a range of answers, each with implications to ponder. Fivetran Image courtesy of Fivetran.

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Data Ingestion Google Cloud Kafka Data Warehouse 52

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.

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Data Engineering Data Engineer Engineering ETL Tools 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.

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Data Engineering Data Engineer Engineering ETL Tools 59

Knowledge Hut

JULY 3, 2023

This is where real-time data ingestion comes into the picture. Data is collected from various sources such as social media feeds, website interactions, log files and processing. This refers to Real-time data ingestion. To achieve this goal, pursuing Data Engineer certification can be highly beneficial.

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Data Ingestion Pipeline-centric Google Cloud Media 52

ProjectPro

JUNE 6, 2025

Machine Learning Case Study on Dell Dell Technologies is a multinational technology company that designs, develops, and sells computers, servers, data storage devices, network switches, software, and other technology products and services.

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Machine Learning Amazon Web Services Algorithm Healthcare 75

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.

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AWS Certification Data Analytics Big Data 52

ProjectPro

JUNE 6, 2025

Azure Data Factory is a Microsoft Azure data migration service that assists Azure users in creating ETL and ELT pipelines for their business data. You can use Azure Data Factory to build and manage data-driven workflows or pipelines that can input data from many sources.

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ProjectPro

JUNE 6, 2025

With vast volumes of data being generated every second, organizations are increasingly relying on big data solutions that can harness the power of data to derive meaningful insights. However, it is recommended to have a basic understanding of AWS services and two years of experience working with AWS technology.

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Big Data AWS Certification Hadoop 40

DareData

JANUARY 30, 2023

In this post, we'll discuss some key data engineering concepts that data scientists should be familiar with, in order to be more effective in their roles. These concepts include concepts like data pipelines, data storage and retrieval, data orchestrators or infrastructure-as-code.

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Data Engineering Data Engineer Engineering NoSQL 52

Edureka

FEBRUARY 9, 2023

Azure Data Engineering is a rapidly growing field that involves designing, building, and maintaining data processing systems using Microsoft Azure technologies. As a certified Azure Data Engineer, you have the skills and expertise to design, implement and manage complex data storage and processing solutions on the Azure cloud platform.

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Data Engineering Data Engineer Engineering Amazon Web Services 52

Knowledge Hut

APRIL 23, 2024

The history of big data takes people on an astonishing journey of big data evolution, tracing the timeline of big data. The Emergence of Data Storage and Processing Technologies A data storage facility first appeared in the form of punch cards, developed by Basile Bouchon to facilitate pattern printing on textiles in looms.

Big Data 52

Big Data Amazon Web Services Cloud Computing Media 52

ProjectPro

FEBRUARY 8, 2023

Smooth Integration with other AWS tools AWS Glue is relatively simple to integrate with data sources and targets like Amazon Kinesis, Amazon Redshift, Amazon S3, and Amazon MSK. It is also compatible with other popular data storage that may be deployed on Amazon EC2 instances.

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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.

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Data Lake Architecture IT Amazon Web Services 52

Knowledge Hut

NOVEMBER 2, 2023

An Azure Data Engineer is a professional who is in charge of designing, implementing, and maintaining data processing systems and solutions on the Microsoft Azure cloud platform. A Data Engineer is responsible for designing the entire architecture of the data flow while taking the needs of the business into account.

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Data Engineering Data Engineer Coding Project 52

Knowledge Hut

JUNE 26, 2023

From analysts to Big Data Engineers, everyone in the field of data science has been discussing data engineering. When constructing a data engineering project, you should prioritize the following areas: Multiple sources of data (APIs, websites, CSVs, JSON, etc.) Master data processing methods.

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Data Engineering Data Engineer Coding Project 98

ProjectPro

FEBRUARY 25, 2022

Data Ingestion Data Processing Data Splitting Model Training Model Evaluation Model Deployment Monitoring Model Performance Machine Learning Pipeline Tools Machine Learning Pipeline Deployment on Different Platforms FAQs What tools exist for managing data science and machine learning pipelines?

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Machine Learning Building Amazon Web Services AWS 52

Monte Carlo

JUNE 2, 2024

Managing cloud-based data services, cost optimization, and scaling are key responsibilities, and these trends are likely to grow along with the future of data governance. Data Pipeline Tools: Familiarity with tools such as Apache Kafka (mentioned in 71% of job postings) and Apache Spark (66%) is vital.

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Engineering Amazon Web Services AWS Data Pipeline 52

Monte Carlo

JUNE 2, 2024

Managing cloud-based data services, cost optimization, and scaling are key responsibilities, and these trends are likely to grow along with the future of data governance. Data Pipeline Tools: Familiarity with tools such as Apache Kafka (mentioned in 71% of job postings) and Apache Spark (66%) is vital.

Engineering 52

Engineering Amazon Web Services AWS Data Pipeline 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. Big Data analytics processes and tools. Data ingestion.

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Big Data Data Analytics IT NoSQL 78

Edureka

JULY 16, 2024

Machine Learning in AWS SageMaker Machine learning in AWS SageMaker involves steps facilitated by various tools and services within the platform: Data Preparation: SageMaker comprises tools for labeling the data and data and feature transformation. What are SageMaker Use Cases?

AWS 52

AWS Machine Learning Amazon Web Services Algorithm 52

Monte Carlo

JUNE 14, 2023

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. Here are some of the most common solutions that are involved in modern data pipelines and the role they play.

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Knowledge Hut

MARCH 28, 2024

Job Role 1: Azure Data Engineer Azure Data Engineers develop, deploy, and manage data solutions with Microsoft Azure data services. They use many data storage, computation, and analytics technologies to develop scalable and robust data pipelines.

Data Engineering 52

Data Engineering Data Engineer Engineering Data Warehouse 52

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. Notice how Snowflake dutifully avoids (what may be a false) dichotomy by simply calling themselves a “data cloud.”

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Data Lake Google Cloud Data Warehouse Cloud Storage 52

Knowledge Hut

APRIL 25, 2023

It is widely used by data engineers for building scalable and reliable data processing systems. Hadoop provides tools for data storage, processing, and analysis, including Hadoop Distributed File System (HDFS) and MapReduce. It can add more processing power and storage as the data grows.

Data Engineering 52

Data Engineering Data Engineer Engineering Google Cloud 52

phData: Data Engineering

AUGUST 4, 2023

Data storage is a vital aspect of any Snowflake Data Cloud database. Within Snowflake, data can either be stored locally or accessed from other cloud storage systems. Amazon S3 for AWS, Azure Blob Storage for Azure, or Google Cloud Storage for GCP) to store the actual data files in micro-partitions.

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Cloud Storage Google Cloud Amazon Web Services Data Storage 52

ProjectPro

JANUARY 19, 2022

Cloud Services Providers Platforms As companies are gradually becoming more inclined towards investing in cloud computing for storing their data instead of bulky hardware systems, engineers who can work on cloud computing tools are in demand. Best suited for those looking for Platform-as-a-service (PaaS) provider.

Data Engineering 52

Data Engineering Data Engineer Engineering Amazon Web Services 52

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

Knowledge Hut

DECEMBER 13, 2023

Tech Mahindra Tech Mahindra is a service-based company with a data-driven focus. The complex data activities, such as data ingestion, unification, structuring, cleaning, validating, and transforming, are made simpler by its self-service. It also makes it easier to load the data into destination databases.

Big Data 52

Big Data Consulting Amazon Web Services Hadoop 52

phData: Data Engineering

JANUARY 3, 2022

This involves: Building data pipelines and efficiently storing data for tools that need to query the data. Analyzing the data, ensuring it adheres to data governance rules and regulations. Understanding the pros and cons of data storage and query options.

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Data Engineering Data Engineer Engineering Data Governance 52