ProjectPro

JUNE 6, 2025

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 tool also does not have an automatic code optimization process.

Hadoop 45

Hadoop Java Big Data Tools SQL 45

Knowledge Hut

APRIL 25, 2024

Check out the Big Data courses online to develop a strong skill set while working with the most powerful Big Data tools and technologies. Look for a suitable big data technologies company online to launch your career in the field. Let's explore the technologies available for big data.

Big Data 98

Big Data Technology NoSQL Hadoop 98

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. Your organization will use internal and external sources to port the data.

Big Data 40

Big Data Data Engineer Data Engineering Engineering 40

ProjectPro

JUNE 6, 2025

The demand for other data-related jobs like data engineers, business analysts , machine learning engineers, and data analysts is rising to cover up for this plateau. Build and deploy ETL/ELT data pipelines that can begin with data ingestion and complete various data-related tasks.

Data Engineer 58

Data Engineer Data Engineering Engineering Amazon Web Services 58

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.

Data Engineer 49

Data Engineer Data Engineering Engineering Hadoop 49

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.

AWS 66

AWS Scala Metadata Data Lake 66

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.

Big Data 40

Big Data Hadoop Scala NoSQL 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.

AWS 52

AWS Certification Data Analytics Big Data 52

ProjectPro

JUNE 6, 2025

Data Architect Salary How to Become a Data Architect - A 5-Step Guide Become a Data Architect - Key Takeaways FAQs on Data Architect Career Path What is a Data Architect Role? Cloud Architect stays up-to-date with data regulations, monitors data accessibility, and expands the cloud infrastructure as needed.

Data Architect 40

Data Architect Data Mining Programming Language Java 40

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.

Data Lake 40

Data Lake Cloud Computing Data Workflow Data Pipeline 40

ProjectPro

JUNE 6, 2025

Apache Spark Apache Spark is a powerful open-source framework for distributed data processing. It provides various libraries for batch processing, real-time streaming , machine learning, and graph processing. Spark's in-memory computing capabilities make it suitable for handling large-scale data transformations efficiently.

Data Pipeline 40

Data Pipeline Building Retail Data Ingestion 40

ProjectPro

JUNE 6, 2025

According to Reports, the real-world adoption of Apache Hive as a Data Warehousing tool has surged, with over 4412 companies worldwide, with 58.47% in the U.S., These statistics underscore the global significance of Hive as a critical component in the arsenal of big data tools. What is Hive design?

Big Data 40

Big Data Architecture Project Hadoop 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.

Hadoop 40

Hadoop Project Big Data Scala 40

ProjectPro

JUNE 6, 2025

Introduction to Big Data Big data combines structured, semi-structured, and unstructured data collected by organizations to glean valuable insights and information using machine learning, predictive modeling , and other advanced analytical applications. Who can Learn Big Data?

Big Data 45

Big Data Big Data Skills Scala Hadoop 45

ProjectPro

JUNE 6, 2025

Looking for a unified interface for all your machine learning and big data tasks? 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.

Data Engineer 40

Data Engineer Data Engineering Engineering Data Lake 40

ProjectPro

JUNE 6, 2025

One of the most in-demand technical skills these days is analyzing large data sets, and Apache Spark and Python are two of the most widely used technologies to do this. Python is one of the most extensively used programming languages for Data Analysis, Machine Learning , and data science tasks.

Big Data 40

Big Data Data Process Process Kafka 40

AltexSoft

JUNE 26, 2023

While today’s world abounds with data, gathering valuable information presents a lot of organizational and technical challenges, which we are going to address in this article. We’ll particularly explore data collection approaches and tools for analytics and machine learning projects. What is data collection?

Data Collection 52

Data Collection Machine Learning Unstructured Data Electronics 52

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. Services Used: AWS S3, AWS SageMaker, AWS Glue.

Cloud Computing 40

Cloud Computing Cloud Project Google Cloud 40

ProjectPro

JUNE 6, 2025

Table of Contents What is Real-Time Data Ingestion? For this example, we will clean the purchase data to remove duplicate entries and standardize product and customer IDs. They also enhance the data with customer demographics and product information from their databases.

Data Ingestion 40

Data Ingestion Kafka Google Cloud AWS 40

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.

Big Data 40

Big Data Hadoop Relational Database AWS 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.

Data Warehouse 40

Data Warehouse Data Mining Recruitment Database 40

Knowledge Hut

DECEMBER 26, 2023

According to the World Economic Forum, the amount of data generated per day will reach 463 exabytes (1 exabyte = 10 9 gigabytes) globally by the year 2025. Of course, handling such huge amounts of data and using them to extract data-driven insights for any business is not an easy task; and this is where Data Science comes into the picture.

Data Science 97

Data Science BI Data Mining Business Intelligence 97

ProjectPro

JUNE 6, 2025

Spark saves data in memory (RAM), making data retrieval quicker and faster when needed. Spark is a low-latency computation platform because it offers in-memory data storage and caching. Additional libraries on top of Spark Core enable a variety of SQL, streaming, and machine learning applications.

Hadoop 68

Hadoop Metadata Java Datasets 68

ProjectPro

JUNE 6, 2025

The ETL (Extract, Transform, Load) process follows four main steps: i) Connect and Collect: Connect to the data source/s and move data to local and crowdsource data storage. ii) Data transformation using computing services such as HDInsight, Hadoop , Spark, etc. Can you integrate it with Data Factory?

Data Lake 60

Data Lake Metadata SQL Datasets 60

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 scientists should have good data visualization and communication skills to convey the results of their data analysis to various stakeholders.

Data Engineer 40

Data Engineer Data Engineering Engineering Hadoop 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.

BI 40

BI Hadoop Big Data Business Intelligence 40

ProjectPro

JUNE 6, 2025

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.

Certification 40

Certification Cloud Cloud Computing Machine Learning 40

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.

Big Data 40

Big Data AWS Certification Hadoop 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. So, don't miss out on gaining practical experience in big data. And guess what?

Big Data 40

Big Data Certification Amazon Web Services Hadoop 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

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.

Data Warehouse 53

Data Warehouse NoSQL PostgreSQL Relational Database 53

ProjectPro

JUNE 6, 2025

Here are some role-specific skills you should consider to become an Azure data engineer- Most data storage and processing systems use programming languages. Data engineers must thoroughly understand programming languages such as Python, Java, or Scala. Who should take the certification exam?

Data Engineer 49

Data Engineer Data Engineering Engineering Certification 49

ProjectPro

SEPTEMBER 26, 2021

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. Your organization will use internal and external sources to port the data.

Big Data 52

Big Data Data Engineer Data Engineering Engineering 52

Knowledge Hut

NOVEMBER 17, 2023

They will work with other data specialists to ensure that data solutions are successfully integrated into business processes. Azure Data Engineers will be more crucial than ever in creating and deploying data solutions that make use of emerging machine learning and artificial intelligence technology.

Data Engineer 52

Data Engineer Data Engineering Engineering Scala 52

ProjectPro

JANUARY 19, 2022

Good knowledge of various machine learning and deep learning algorithms will be a bonus. Knowledge of popular big data tools like Apache Spark, Apache Hadoop, etc. Good communication skills as a data engineer directly works with the different teams. The list does not end here.

Data Engineer 52

Data Engineer Data Engineering Engineering Amazon Web Services 52

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 tool also does not have an automatic code optimization process.

Hadoop 52

Hadoop Java Big Data Tools SQL 52

ProjectPro

FEBRUARY 8, 2023

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.

AWS 98

AWS Scala Metadata Data Lake 98