ProjectPro

JUNE 6, 2025

The advantage of gaining access to data from any device with the help of the internet has become possible because of cloud computing. The birth of cloud computing has been a boon for many individuals and the whole tech industry. Such exciting benefits of cloud computing have led to its rapid adoption by various companies.

Data Engineering 49

Data Engineering Data Engineer Engineering Hadoop 49

ProjectPro

JUNE 6, 2025

Big data is often characterized by the seven V's: Volume , Variety , Velocity, Variability, Veracity, Visualization, and Value of data. 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 45

Big Data Big Data Skills Scala Hadoop 45

ProjectPro

JUNE 6, 2025

Talend ETL Tool Project Ideas For You Best Books To Learn About Talend ETL Tool Talend ETL Tool Tutorial FAQs on Talend ETL Tool What is Talend ETL? Talend is a leading ETL and big data integration software with an open-source environment for data planning, integration, processing, and cloud storage.

ETL Tools 45

ETL Tools Big Data Java Metadata 45

ProjectPro

JUNE 6, 2025

Its flexibility, which makes it the ‘swiss army knife’ of the AWS platform for developers and cloud architects, is one of the factors leading to its widespread adoption across the big data industry. Learn more about Big Data Tools and Technologies with Innovative and Exciting Big Data Projects Examples.

AWS 40

AWS Retail MySQL Big Data 40

ProjectPro

JUNE 6, 2025

To enhance business alignment, maintain data quality, and facilitate integration, Erwin Data Modeler streamlines and standardizes model design tasks, including complicated queries. Consolidate and develop hybrid architectures in the cloud and on-premises, combining conventional, NoSQL, and Big Data.

Data Warehouse 53

Data Warehouse NoSQL PostgreSQL Relational Database 53

ProjectPro

JUNE 6, 2025

This growth is due to the increasing adoption of cloud-based data integration solutions such as Azure Data Factory. If you have heard about cloud computing , you would have heard about Microsoft Azure as one of the leading cloud service providers in the world, along with AWS and Google Cloud.

Data Lake 60

Data Lake Metadata SQL Datasets 60

ProjectPro

JUNE 6, 2025

Here are several examples: Security architects design and implement security practices to ensure data confidentiality, integrity, and availability. 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

These Apache Hadoop projects are mostly into migration, integration, scalability, data analytics, and streaming analysis. These Apache Spark projects are mostly into link prediction, cloud hosting, data analysis, and speech analysis. Data Migration RDBMSs were inefficient and failed to manage the growing demand for current data.

Hadoop 40

Hadoop Project Big Data Scala 40

ProjectPro

JUNE 6, 2025

Requires knowledge of SQL - You need to have SQL knowledge for performing data analysis on rich and complex datasets from multiple data sources. Power BI With over 13,000 online community members, Power BI is a well-known cloud-based data analysis tool that offers quick insight and analyzes and visualizes data.

Data Analysis Tools 45

Data Analysis Tools Data Analysis BI R (Programming) 45

ProjectPro

JUNE 6, 2025

Consequently, data engineers implement checkpoints so that no event is missed or processed twice. It not only consumes more memory but also slackens data transfer. Modern cloud-based data pipelines are agile and elastic to automatically scale compute and storage resources.

Data Pipeline 40

Data Pipeline Architecture Kafka Data Lake 40

ProjectPro

JUNE 6, 2025

The end of a data block points to the location of the next chunk of data blocks. DataNodes store data blocks, whereas NameNodes store these data blocks. Learn more about Big Data Tools and Technologies with Innovative and Exciting Big Data Projects Examples. Steps for Data preparation.

Big Data 40

Big Data Hadoop Relational Database AWS 40

ProjectPro

JUNE 6, 2025

Data Engineering is the secret sauce to advances in data analysis and data science that we see nowadays. Data Engineering Roles - Who Handles What? As we can see, it turns out that the data engineering role requires a vast knowledge of different big data tools and technologies.

Data Science 40

Data Science Data Engineering Data Engineer Engineering 40

ProjectPro

JUNE 6, 2025

Building and maintaining data pipelines Data Engineer - Key Skills Knowledge of at least one programming language, such as Python Understanding of data modeling for both big data and data warehousing Experience with Big Data tools (Hadoop Stack such as HDFS, M/R, Hive, Pig, etc.)

Data Science 56

Data Science Data Mining Data Architect BI 56

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. Non-relational databases are ideal if you need flexibility for storing the data since you cannot create documents without having a fixed schema.

Data Engineering 40

Data Engineering Data Engineer Engineering Hadoop 40

ProjectPro

FEBRUARY 8, 2023

In 2023, more than 5140 businesses worldwide have started using AWS Glue as a big data tool. For e.g., Finaccel, a leading tech company in Indonesia, leverages AWS Glue to easily load, process, and transform their enterprise data for further processing. where it can be used to facilitate business decisions.

AWS 98

AWS Scala Metadata Data Lake 98

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. Thus, almost every organization has access to large volumes of rich data and needs “experts” who can generate insights from this rich data.

Data Science 97

Data Science BI Business Intelligence Data Mining 97

ProjectPro

JANUARY 19, 2022

Independently create data-driven solutions that are accurate and informative. Interact with the data scientists team and assist them in providing suitable datasets for analysis. Leverage various big data engineering tools and cloud service providing platforms to create data extractions and storage pipelines.

Data Engineering 52

Data Engineering Data Engineer Engineering Amazon Web Services 52

Knowledge Hut

MARCH 27, 2024

You can check out the Big Data Certification Online to have an in-depth idea about big data tools and technologies to prepare for a job in the domain. To get your business in the direction you want, you need to choose the right tools for big data analysis based on your business goals, needs, and variety.

Big Data 52

Big Data Data Analytics MongoDB Big Data Tools 52

ProjectPro

AUGUST 24, 2021

So, work on projects that guide you on how to build end-to-end ETL/ELT data pipelines. Big Data Tools: Without learning about popular big data tools, it is almost impossible to complete any task in data engineering. Google BigQuery receives the structured data from workers.

Data Engineering 52

Data Engineering Data Engineer Coding Project 52

Knowledge Hut

JUNE 23, 2023

You should have the expertise to collect data, conduct research, create models, and identify patterns. You should be well-versed with SQL Server, Oracle DB, MySQL, Excel, or any other data storing or processing software. You must develop predictive models to help industries and businesses make data-driven decisions.

Data Engineering 52

Data Engineering Data Engineer Engineering Non-relational Database 52

ProjectPro

JUNE 6, 2025

Preparing for your next AWS cloud computing interview? As the numerous advantages of cloud computing are gaining popularity, more and more businesses and individuals worldwide are starting to use the AWS platform. There is a significant gap between the demand and availability of qualified Amazon cloud computing professionals.

AWS 40

AWS Amazon Web Services Cloud Computing Database 40

Databand.ai

DECEMBER 13, 2022

Follow Charles on LinkedIn 3) Deepak Goyal Azure Instructor at Microsoft Deepak is a certified big data and Azure Cloud Solution Architect with more than 13 years of experience in the IT industry. On LinkedIn, he focuses largely on Spark, Hadoop, big data, big data engineering, and data engineering.

Data Engineering 52

Data Engineering Data Engineer Engineering Google Cloud 52

Knowledge Hut

SEPTEMBER 6, 2023

Problem-Solving Abilities: Many certification courses provide projects and assessments which require hands-on practice of big data tools which enhances your problem solving capabilities. Networking Opportunities: While pursuing big data certification course you are likely to interact with trainers and other data professionals.

Big Data 52

Big Data Certification Hadoop Generalist 52

ProjectPro

DECEMBER 7, 2021

Consequently, data engineers implement checkpoints so that no event is missed or processed twice. It not only consumes more memory but also slackens data transfer. Modern cloud-based data pipelines are agile and elastic to automatically scale compute and storage resources.

Data Pipeline 52

Data Pipeline Architecture Kafka Data Lake 52

ProjectPro

JANUARY 31, 2023

The end of a data block points to the location of the next chunk of data blocks. DataNodes store data blocks, whereas NameNodes store these data blocks. Learn more about Big Data Tools and Technologies with Innovative and Exciting Big Data Projects Examples. Steps for Data preparation.

Big Data 52

Big Data Hadoop Relational Database AWS 52

ProjectPro

NOVEMBER 14, 2015

These Apache Hadoop projects are mostly into migration, integration, scalability, data analytics, and streaming analysis. These Apache Spark projects are mostly into link prediction, cloud hosting, data analysis, and speech analysis. Data Migration 2. Data Integration 3.Scalability Cloud Hosting 6.Specialized

Hadoop 52

Hadoop Project Big Data Healthcare 52

ProjectPro

JUNE 6, 2025

i) Data Ingestion – The foremost step in deploying big data solutions is to extract data from different sources which could be an Enterprise Resource Planning System like SAP, any CRM like Salesforce or Siebel , RDBMS like MySQL or Oracle, or could be the log files, flat files, documents, images, social media feeds.

Hadoop 40

Hadoop Big Data Metadata Java 40

Knowledge Hut

SEPTEMBER 25, 2023

This industry-recognized credential aids organizations in identifying and developing individuals with the essential abilities for implementing cloud initiatives. According to recent assessments, 90% of all big data has been produced in the last two years. Your proficiency in the field of big data is verified by this exam.

Certification 52

Certification Business Analyst Big Data Data Analytics 52

AltexSoft

JUNE 26, 2023

Luckily, the situation has been gradually changing for the better with the evolution of big data tools and storage architectures capable of handling large datasets, no matter their type (we’ll discuss different types of data repositories later on.) No wonder only 0.5

Data Collection 52

Data Collection Machine Learning Unstructured Data Electronics 52

ProjectPro

JULY 27, 2021

Top 100+ Data Engineer Interview Questions and Answers The following sections consist of the top 100+ data engineer interview questions divided based on big data fundamentals, big data tools/technologies, and big data cloud computing platforms. Hadoop is highly scalable.

Data Engineering 40

Data Engineering Data Engineer Engineering Hadoop 40

ProjectPro

AUGUST 21, 2015

i) Data Ingestion – The foremost step in deploying big data solutions is to extract data from different sources which could be an Enterprise Resource Planning System like SAP, any CRM like Salesforce or Siebel , RDBMS like MySQL or Oracle, or could be the log files, flat files, documents, images, social media feeds.

Hadoop 40

Hadoop Big Data Metadata Java 40

ProjectPro

JUNE 6, 2025

How to Check if MySQL Is Connected to Apache Airflow? The following code shows the creation of two tasks: one for running a bash command and another for executing a MySQL query. They simplify integration with external APIs and databases like Hive, MySQL, and GCS. Google Cloud Platform) that you are using.

MySQL 40

MySQL Data Pipeline Metadata Google Cloud 40

ProjectPro

JUNE 6, 2025

Numerous efficient ETL tools are available on Google Cloud, so you won't have to perform ETL manually and risk compromising the integrity of your data. GCP offers tools for data preparation, pipeline monitoring and creation, and workflow orchestration.

ETL Tools 40

ETL Tools Big Data Google Cloud Project 40

ProjectPro

JUNE 6, 2025

AWS career path is an ideal option if you are interested in the domain of cloud computing and looking for a career transition. Countless enterprises use AWS cloud services, and new AWS careers are constantly evolving. This article is for you if you wish to start your career as an AWS cloud practitioner.

AWS 40

AWS Cloud Computing Certification Programming Language 40

ProjectPro

JUNE 6, 2025

Tools/Tech stack used: The tools and technologies used for such page ranking using Apache Hadoop are Linux OS, MySQL, and MapReduce. Objective and Summary of the project: With the amount of data on the web today handling weblogs is one of the biggest challenges to solve. Followed by MySQL is the Microsoft SQL Server.

Hadoop 40

Hadoop Project Big Data Media 40

ProjectPro

APRIL 20, 2017

Problem Statement In this Hadoop project, you can analyze bitcoin data and implement a data pipeline through Amazon Web Services ( AWS ) Cloud. Extracting data from APIs using Python. Uploading the data on HDFS. Utilizing PySpark for reading data. Visualizing data through AWS Quicksight.

Hadoop 40

Hadoop Big Data Coding Project 40