Knowledge Hut

APRIL 25, 2024

This article will discuss big data analytics technologies, technologies used in big data, and new big data technologies. Check out the Big Data courses online to develop a strong skill set while working with the most powerful Big Data tools and technologies.

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ProjectPro

JUNE 6, 2025

Big Data Engineer performs a multi-faceted role in an organization by identifying, extracting, and delivering the data sets in useful formats. A Big Data Engineer also constructs, tests, and maintains the Big Data architecture. Hadoop, for instance, is open-source software.

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ProjectPro

JUNE 6, 2025

They ensure the data flows smoothly and is prepared for analysis. Apache Hadoop Development and Implementation Big Data Developers often work extensively with Apache Hadoop , a widely used distributed data storage and processing framework. These tools are the backbone of Big Data processing and analytics.

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ProjectPro

JUNE 6, 2025

A data architect builds, deploys, and manages an organization's data architecture. They contribute to developing data principles and standards by converting business requirements into technical requirements. As a result, they help in data storage, data collection, data system access, and data security.

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ProjectPro

JUNE 6, 2025

These pipelines are the go-to solution for data engineers, and it's no secret why. This blog will help you demystify batch data pipelines, explore the essential tools and architecture, share some best practices, and walk you through building your first batch data pipeline.

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Data Pipeline Building Retail Data Ingestion 40

ProjectPro

JUNE 6, 2025

Once the data is ready, you will use AWS SageMaker to build a model that recommends products to users based on their previous purchases and browsing history. You can also use Amazon S3 for data storage and AWS CloudWatch for monitoring and logging. Tune the model's hyperparameters to optimize its performance.

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ProjectPro

JUNE 6, 2025

According to the Data Management Body of Knowledge, a Data Architect "provides a standard common business vocabulary, expresses strategic requirements, outlines high-level integrated designs to meet those requirements, and aligns with enterprise strategy and related business architecture." What Does a Data Architect Do?

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ProjectPro

JUNE 6, 2025

Table of Contents Data Lake vs Data Warehouse - The Differences Data Lake vs Data Warehouse - The Introduction What is a Data warehouse? Data Warehouse Architecture What is a Data lake? Data is generally not loaded into a data warehouse unless a use case has been defined for the data.

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Data Lake Data Warehouse Cloud Hadoop 40

ProjectPro

JUNE 6, 2025

The answer is simple- by gaining a solid grasp of the real-time data ingestion process. This comprehensive guide sheds light upon the core concepts of real-time data ingestion, exploring its various types, patterns, tools, services, and architectures, along with some real-world examples to solidify your understanding.

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ProjectPro

JUNE 6, 2025

There are three steps involved in the deployment of a big data model: Data Ingestion: This is the first step in deploying a big data model - Data ingestion, i.e., extracting data from multiple data sources. Data Variety Hadoop stores structured, semi-structured and unstructured data.

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ProjectPro

JUNE 6, 2025

By the end of this training, data engineers can confidently manipulate data to meet business requirements, ensuring data quality and accuracy throughout the pipeline. This ADF training guides you in efficiently orchestrating data movement across various sources and destinations.

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Data Lake Cloud Computing Data Pipeline Data Workflow 40

ProjectPro

JUNE 6, 2025

Explore Data Engineer Projects to Learn the Plumbing of Data Science Role and Responsibilities of a Data Engineer Prepare, handle, and supervise efficient data pipeline architectures. Build and deploy ETL/ELT data pipelines that can begin with data ingestion and complete various data-related tasks.

Data Engineering 58

Data Engineering Data Engineer Engineering Amazon Web Services 58

ProjectPro

JUNE 6, 2025

DynamoDB's low latency and automatic scaling capabilities make it a good choice for high-traffic applications that require fast and reliable access to data. However, MongoDB can perform well for complex queries and can handle a variety of data types, including unstructured and semi-structured data.

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NoSQL MongoDB Database Amazon Web Services 40

ProjectPro

JUNE 6, 2025

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. With AWS, you gain access to scalable infrastructure, robust data storage, and cutting-edge analytics capabilities.

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AWS Certification Data Analytics Big Data 52

ProjectPro

JUNE 6, 2025

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. In 2023, more than 5140 businesses worldwide have started using AWS Glue as a big data tool. How Does AWS Glue Work?

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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?

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Data Engineering Data Engineer Engineering Hadoop 49

ProjectPro

JUNE 6, 2025

This beginner's guide will give you a detailed overview of Azure Synapse Analytics and its architecture to help you build enterprise-grade data pipelines for your next data analytics project. Why Use Azure Synapse Analytics For Big Data Analytics Projects? Table of Contents What is Azure Synapse Analytics?

Data Engineering 40

Data Engineering Data Engineer Engineering Data Lake 40

ProjectPro

JUNE 6, 2025

Features of PySpark The PySpark Architecture Popular PySpark Libraries PySpark Projects to Practice in 2022 Wrapping Up FAQs Is PySpark easy to learn? Here’s What You Need to Know About PySpark This blog will take you through the basics of PySpark, the PySpark architecture, and a few popular PySpark libraries , among other things.

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Big Data Data Process Process Kafka 40

ProjectPro

JUNE 6, 2025

Increased Efficiency: Cloud data warehouses frequently split the workload among multiple servers. As a result, these servers handle massive volumes of data rapidly and effectively. Handle Big Data: Storage in cloud-based data warehouses may increase independently of computational resources.

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ProjectPro

JUNE 6, 2025

They facilitate decoupling data producers from consumers in event-driven architectures, making it possible to build efficient, resilient, and scalable data pipelines and applications that can handle vast volumes of data with low latency. This architecture allows Kafka to scale horizontally to handle massive data volumes.

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Kafka Big Data Python Java 40

ProjectPro

JUNE 6, 2025

Big data has taken over many aspects of our lives and as it continues to grow and expand, big data is creating the need for better and faster data storage and analysis. These Apache Hadoop projects are mostly into migration, integration, scalability, data analytics, and streaming analysis.

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Hadoop Project Big Data Scala 40

Big Data Tools

SEPTEMBER 6, 2021

Cache for ORC metadata in Spark – ORC is one of the most popular binary formats for data storage, featuring awesome compression and encoding capabilities. Change Data Capture at DeviantArt – I think we all know what Debezium is. Who would have thought that building a data quality platform could be this challenging and exciting?

Data Engineering 52

Data Engineering Data Engineer Engineering Big Data Tools 52

ProjectPro

JUNE 6, 2025

AWS Big Data Analytics Certification Prerequisites To pursue the Certification exam, there are no formal AWS Big Data certification requirements in terms of other AWS certifications. Familiarity with data storage, loading data, data processing, and visualization concepts will be beneficial.

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Big Data AWS Certification Hadoop 40

ProjectPro

JUNE 6, 2025

With the increasing demand for data storage and management, cloud-based solutions, such as Azure Blob Storage, have become essential to modern business operations. Azure Blob Storage provides businesses a scalable and cost-effective way to manage huge amounts of unstructured data, such as images, multimedia files, and documents.

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Cloud Storage Cloud Unstructured Data Data Lake 40

ProjectPro

JUNE 6, 2025

Embarking on the journey of big data opens up a world of amazing career opportunities that can make a difference in people's lives. 2023 is the best time to explore this exciting field by pursuing the top big data certifications. Understanding of parallel processing and data architecture patterns.

Big Data 40

Big Data Certification Amazon Web Services Hadoop 40

ProjectPro

JUNE 6, 2025

Now is the ideal time to add big data skills to your resume and gain wings to fly around the job market with the multitude of big data jobs available today. Big Data careers span multiple domains Data Engineering, Data Science, Data Analytics, Data Architecture, and Business Analytics.

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Big Data Big Data Skills Scala Hadoop 45

ProjectPro

JUNE 6, 2025

The normalization process helps in: removing redundant data (for example, storing data in multiple tables) and ensuring data integrity. Normalization is useful for minimizing data storage and logically storing data in multiple tables. List some of the benefits of data modeling.

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Data Warehouse NoSQL PostgreSQL Relational Database 53

ProjectPro

JUNE 6, 2025

Furthermore, you will find a few sections on data engineer interview questions commonly asked in various companies leveraging the power of big data and data engineering. Data architects help the organization understand how changes in data acquisitions will impact the data in use.

Data Engineering 40

Data Engineering Data Engineer Engineering Hadoop 40

ProjectPro

SEPTEMBER 9, 2021

Apache Hive and Apache Spark are the two popular Big Data tools available for complex data processing. To effectively utilize the Big Data tools, it is essential to understand the features and capabilities of the tools. The following is the architecture of Hive.

Hadoop 52

Hadoop Java Big Data Tools SQL 52

Big Data Tools

SEPTEMBER 6, 2021

Cache for ORC metadata in Spark – ORC is one of the most popular binary formats for data storage, featuring awesome compression and encoding capabilities. Change Data Capture at DeviantArt – I think we all know what Debezium is. Who would have thought that building a data quality platform could be this challenging and exciting?

Data Engineering 40

Data Engineering Data Engineer Engineering Big Data Tools 40

ProjectPro

JUNE 6, 2025

Let us compare traditional data warehousing and Hadoop-based BI solutions to better understand how using BI on Hadoop proves more effective than traditional data warehousing- Point Of Comparison Traditional Data Warehousing BI On Hadoop Solutions Data Storage Structured data in relational databases.

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Hadoop BI Big Data Business Intelligence 40

ProjectPro

JUNE 6, 2025

You will learn how to implement data analytics with Kinesis Data Analytics, log streaming, and notification services using Amazon SNS. The project emphasizes end-to-end testing of AWS Lambda functions and integration with DynamoDB for data storage. Install different big data tools on the VM.

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Cloud Computing Cloud Project Google Cloud 40

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.

Data Engineer 52

Data Engineer Data Engineering Engineering Amazon Web Services 52

ProjectPro

JUNE 6, 2025

It covers cloud computing concepts, Azure architecture, and Azure management and governance. It focuses on the following key areas- Core Data Concepts- Understanding the basics of data concepts, such as relational and non-relational data, structured and unstructured data, data ingestion, data processing, and data visualization.

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Certification Cloud Cloud Computing SQL 40

ProjectPro

JUNE 6, 2025

Spark RDDs are abstractions that are meant to accommodate worker node failures while ensuring that no data is lost. The difficulty with the previous MapReduce architecture was that it could only handle data that had already been created. Spark saves data in memory (RAM), making data retrieval quicker and faster when needed.

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Hadoop Metadata Java Datasets 68

ProjectPro

JUNE 6, 2025

An Azure Data Engineer is a highly qualified expert responsible for integrating, transforming, and merging data from various structured and unstructured sources into a structure used to construct analytics solutions. Data engineers must thoroughly understand programming languages such as Python, Java, or Scala.

Data Engineering 49

Data Engineering Data Engineer Engineering Certification 49

Knowledge Hut

NOVEMBER 17, 2023

In the post, we will investigate how to become an Azure data engineer, the skills required, the roles and responsibilities of an Azure data engineer, and much more. Who is an Azure Data Engineer? You should possess a strong understanding of data structures and algorithms.

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