ProjectPro

JUNE 6, 2025

Get FREE Access to Data Analytics Example Codes for Data Cleaning, Data Munging, and Data Visualization Data Engineer Jobs- The Demand Data Scientist was declared the sexiest job of the 21st century about ten years ago. The role of a data engineer is to use tools for interacting with the database management systems.

Data Engineer 58

Data Engineer Data Engineering Engineering Amazon Web Services 58

ProjectPro

JUNE 6, 2025

Additionally, engineers can build schemas and tables, import data visually, and explore database objects using Query Editor v2. Amazon IAM AWS Identity and Access Management (IAM) is another popular AWS service that enables you to control access to AWS resources. Get Started with Learning Python for Data Engineering Now !

AWS 52

AWS Data Engineer Data Engineering Project 52

ProjectPro

JUNE 6, 2025

Big data operations require specialized tools and techniques since a relational database cannot manage such a large amount of data. Typically, data processing is done using frameworks such as Hadoop, Spark, MapReduce, Flink , and Pig, to mention a few. How is Hadoop related to Big Data? RDBMS uses high-end servers.

Big Data 40

Big Data Hadoop Relational Database AWS 40

ProjectPro

JUNE 6, 2025

Big data , Hadoop, Hive —these terms embody the ongoing tech shift in how we handle information. Hive is a data warehousing and SQL-like query language system built on top of Hadoop. Hive provides a high-level abstraction over Hadoop's MapReduce framework, enabling users to interact with data using familiar SQL syntax.

Big Data 40

Big Data Architecture Project Hadoop 40

ProjectPro

JUNE 6, 2025

Differentiate between relational and non-relational database management systems. Relational Database Management Systems (RDBMS) Non-relational Database Management Systems Relational Databases primarily work with structured data using SQL (Structured Query Language).

Data Engineer 40

Data Engineer Data Engineering Engineering Hadoop 40

ProjectPro

JUNE 6, 2025

Hadoop Datasets: These are created from external data sources like the Hadoop Distributed File System (HDFS) , HBase, or any storage system supported by Hadoop. The data is stored in HDFS (Hadoop Distributed File System), which takes a long time to retrieve. a list or array) in your program.

Hadoop 68

Hadoop Metadata Java Datasets 68

ProjectPro

JUNE 6, 2025

Despite the buzz surrounding NoSQL , Hadoop , and other big data technologies, SQL remains the most dominant language for data operations among all tech companies. Data engineers can extract data from a table in a relational database using SQL queries like the "SELECT" statement with the "FROM" and "WHERE" clauses.

Data Engineer 45

Data Engineer Data Engineering SQL Engineering 45

ProjectPro

JUNE 6, 2025

Avro: Compact binary serialization format supporting schema evolution, valuable for efficient serialization/deserialization in heterogeneous environments and Apache Hadoop storage. Utilizing Identity and Access Management (IAM) controls ensures granular access permissions, limiting data access to authorized individuals.

Data Engineer 40

Data Engineer Data Engineering Engineering NoSQL 40

ProjectPro

JUNE 6, 2025

When any particular project is open-sourced, it makes the source code accessible to anyone. It incorporates caching, stream computing, message queuing, and other functionalities to decrease the complexity and expenses of development and operations, in addition to the 10x quicker time-series database.

Big Data 49

Big Data Project Metadata Programming Language 49

ProjectPro

JUNE 6, 2025

Data transformation is a crucial task since it greatly enhances the usefulness and accessibility of data. Load - Engineers can load data to the desired location, often a relational database management system (RDBMS), a data warehouse, or Hadoop, once it becomes meaningful. to access relevant data.

Data Science 40

Data Science Data Engineer Data Engineering Engineering 40

ProjectPro

JUNE 6, 2025

For implementing ETL, managing relational and non-relational databases, and creating data warehouses, big data professionals rely on a broad range of programming and data management tools. Many developers have access to it due to its integration with Python IDEs like PyCharm. Hadoop, created by Doug Cutting and Michael J.

Big Data Tools 40

Big Data Tools Big Data Hadoop BI 40

ProjectPro

JUNE 6, 2025

Use statistical methodologies and procedures to make reports Work with online database systems Improve data collection and quality procedures in collaboration with the rest of the team Kickstart your journey in the exciting domain of Data Science with these solved data science mini projects today!

Data Science 56

Data Science Data Mining Data Architect BI 56

ProjectPro

JUNE 6, 2025

It is designed to offer a high-performance and cost-effective solution for modern applications requiring fast and consistent data access. The tool’s PostgreSQL and MySQL compatibility offers up to five times the performance of traditional MySQL databases and up to three times the performance of PostgreSQL databases.

Database 40

Database Technology Cloud PostgreSQL 40

ProjectPro

JUNE 6, 2025

A data architect, in turn, understands the business requirements, examines the current data structures, and develops a design for building an integrated framework of easily accessible, safe data aligned with business strategy. In addition, the data architect also describes the processes involved in database testing and maintenance.

Data Architect 40

Data Architect Data Mining Programming Language Java 40

ProjectPro

JUNE 6, 2025

Data Engineering Project You Must Explore Once you have completed this fundamental course, you must try working on the Hadoop Project to Perform Hive Analytics using SQL and Scala to help you brush up your skills. In this course, you can expect ongoing support and access to free resources to enhance your learning journey.

Data Engineer 45

Data Engineer Data Engineering Cloud Engineering 45

phData: Data Engineering

NOVEMBER 8, 2024

Data Versioning and Time Travel Open Table Formats empower users with time travel capabilities, allowing them to access previous dataset versions. This feature is essential in environments where multiple users or applications access, modify, or analyze the same data simultaneously.

Architecture 52

Architecture Systems Data Lake Google Cloud 52

ProjectPro

JUNE 6, 2025

Is Hadoop a data lake or data warehouse? The data warehouse layer consists of the relational database management system (RDBMS) that contains the cleaned data and the metadata, which is data about the data. Analysis Layer: The analysis layer supports access to the integrated data to meet its business requirements.

Data Lake 40

Data Lake Data Warehouse Cloud Hadoop 40

ProjectPro

JUNE 6, 2025

They include relational databases like Amazon RDS for MySQL, PostgreSQL, and Oracle and NoSQL databases like Amazon DynamoDB. Types of AWS Databases AWS provides various database services, such as Relational Databases Non-Relational or NoSQL Databases Other Cloud Databases ( In-memory and Graph Databases).

AWS 40

AWS Database Amazon Web Services MySQL 40

Teradata

MAY 30, 2025

Each data domain is owned and managed by a dedicated team responsible for its data quality, governance, and accessibility. This is further enhanced by the built-in role-based access control (RBAC) and detailed object security features of the database, which provide isolation from both a workload and security/access perspective. These

AWS 52

AWS Architecture Building Amazon Web Services 52

ProjectPro

JUNE 6, 2025

more accessible. Businesses can benefit significantly from the tool as they can access all of the company's data assets with Power BI since it combines data from several sources. The raw data will be arranged in an accessible manner by a successful Excel spreadsheet, making it simpler to get actionable insights.

Data Analysis Tools 45

Data Analysis Tools Data Analysis BI R (Programming) 45

ProjectPro

JUNE 6, 2025

Data engineers and their skills play a crucial role in the success of an organization by making it easier for data scientists , data analysts , and decision-makers to access the data they need to do their jobs. You will also get access to study guides for each certification exam to help you understand the key topic areas you must focus on.

Certification 40

Certification Data Engineer Data Engineering Engineering 40

ProjectPro

OCTOBER 28, 2015

Apache Hadoop is synonymous with big data for its cost-effectiveness and its attribute of scalability for processing petabytes of data. Data analysis using hadoop is just half the battle won. Getting data into the Hadoop cluster plays a critical role in any big data deployment. then you are on the right page.

ETL Tools 52

ETL Tools Hadoop Relational Database Unstructured Data 52

ProjectPro

APRIL 1, 2016

News on Hadoop- March 2016 Hortonworks makes its core more stable for Hadoop users. PCWorld.com Hortonworks is going a step further in making Hadoop more reliable when it comes to enterprise adoption. Source: [link] ) Syncsort makes Hadoop and Spark available in native Mainframe. March 1, 2016. March 4, 2016.

Hadoop 52

Hadoop BI Big Data Big Data Tools 52

ProjectPro

JUNE 6, 2025

In 2024, the data engineering job market is flourishing, with roles like database administrators and architects projected to grow by 8% and salaries averaging $153,000 annually in the US (as per Glassdoor ). Learn how to process Wikipedia archives using Hadoop and identify the lived pages in a day.

Data Engineer 59

Data Engineer Data Engineering Project Engineering 59

ProjectPro

JUNE 6, 2025

Common data sources include spreadsheets, databases, JSON data from APIs, Log files, and CSV files. Common destinations include relational databases, analytical data warehouses, or data lakes. Destination refers to a landing area where the data is taken to. Data ingestion refers to moving data from sources to the destination.

Data Ingestion 45

Data Ingestion Data Engineer Data Engineering Project 45

ProjectPro

JUNE 6, 2025

It enables the ingestion of massive amounts of data without related computing costs. Better Business Capabilities: Cloud data warehousing offers better business capabilities such as disaster recovery, scalability, flexibility, security, and accessibility. What would you suggest using - multidimensional OLAP or relational OLAP?

Data Warehouse 40

Data Warehouse Data Mining Recruitment Database 40

ProjectPro

JUNE 6, 2025

Map-reduce - Map-reduce enables users to use resizable Hadoop clusters within Amazon infrastructure. Amazon’s counterpart of this is called Amazon EMR ( Elastic Map-Reduce) Hadoop - Hadoop allows clustering of hardware to analyse large sets of data in parallel. What are the platforms that use Cloud Computing?

Cloud Computing 53

Cloud Computing Cloud Amazon Web Services AWS 53

U-Next

MARCH 1, 2023

A solid understanding of relational databases and SQL language is a must-have skill, as an ability to manipulate large amounts of data effectively. A good Data Engineer will also have experience working with NoSQL solutions such as MongoDB or Cassandra, while knowledge of Hadoop or Spark would be beneficial.

Data Engineer 75

Data Engineer Data Engineering Non-relational Database Engineering 75

ProjectPro

JUNE 6, 2025

Apache Hadoop Hadoop is an open-source framework that helps create programming models for massive data volumes across multiple clusters of machines. Hadoop helps data scientists in data exploration and storage by identifying the complexities in the data. Also, Hadoop retains data without the need for preprocessing.

Data Science 40

Data Science Hadoop Machine Learning Unstructured Data 40

Knowledge Hut

DECEMBER 21, 2023

To establish a career in big data, you need to be knowledgeable about some concepts, Hadoop being one of them. Hadoop tools are frameworks that help to process massive amounts of data and perform computation. You can learn in detail about Hadoop tools and technologies through a Big Data and Hadoop training online course.

Hadoop 52

Hadoop Big Data NoSQL Unstructured Data 52

ProjectPro

JUNE 6, 2025

Batch data pipeline tools like Apache Spark, Hadoop MapReduce , or Apache Flink can be used for this. Common choices include Amazon S3, Hadoop HDFS, or a relational database. Data Storage- Processed data needs a destination for storage.

Data Pipeline 40

Data Pipeline Building Retail Data Ingestion 40

ProjectPro

JUNE 6, 2025

The data integration aspect of the project is highlighted in the utilization of relational databases, specifically PostgreSQL and MySQL , hosted on AWS RDS (Relational Database Service). Some examples of data integration tools that help are Apache Spark, Talend , Hadoop, etc.

Data Integration 40

Data Integration Project Data Lake PostgreSQL 40

ProjectPro

MAY 2, 2017

News on Hadoop-April 2017 AI Will Eclipse Hadoop, Says Forrester, So Cloudera Files For IPO As A Machine Learning Platform. Apache Hadoop was one of the revolutionary technology in the big data space but now it is buried deep by Deep Learning. Forbes.com, April 3, 2017. The new platform named Daily IQ 2.0 Hortonworks HDP 2.6

Hadoop 52

Hadoop Entertainment Data Lake Banking 52

ProjectPro

JUNE 6, 2025

It is conceptually similar to a table in a relational database or a pandas DataFrame in Python. Columns are identified by their names, which are used to access and reference them. Check out the ProjectPro repository with unique Hadoop Mini Projects with Source Code to help you grasp Hadoop basics.

Big Data 40

Big Data Data Process Process SQL 40

ProjectPro

JUNE 6, 2025

Cosmos DB's ability to seamlessly scale horizontally across regions and provide low-latency access to data is a game-changer in a world where speed and responsiveness can make or break a business. Data Replication With multi-master support, Azure Cosmos DB ensures that data is replicated across different databases in multiple regions.

Database 40

Database Management MongoDB NoSQL 40

ProjectPro

SEPTEMBER 11, 2015

Hadoop has now been around for quite some time. But this question has always been present as to whether it is beneficial to learn Hadoop, the career prospects in this field and what are the pre-requisites to learn Hadoop? The availability of skilled big data Hadoop talent will directly impact the market.

Hadoop 52

Hadoop Java BI Big Data 52

ProjectPro

NOVEMBER 14, 2015

Apache Hadoop and Apache Spark fulfill this need as is quite evident from the various projects that these two frameworks are getting better at faster data storage and analysis. These Apache Hadoop projects are mostly into migration, integration, scalability, data analytics, and streaming analysis. Table of Contents Why Apache Hadoop?

Hadoop 52

Hadoop Project Big Data Healthcare 52