Analytics Vidhya

FEBRUARY 1, 2023

Introduction In this constantly growing technical era, big data is at its peak, with the need for a tool to import and export the data between RDBMS and Hadoop. Apache Sqoop stands for “SQL to Hadoop,” and is one such tool that transfers data between Hadoop(HIVE, HBASE, HDFS, etc.)

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ProjectPro

JUNE 6, 2025

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?

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ProjectPro

JUNE 6, 2025

NoSQL databases are the new-age solutions to distributed unstructured data storage and processing. The speed, scalability, and fail-over safety offered by NoSQL databases are needed in the current times in the wake of Big Data Analytics and Data Science technologies. The databases are run on a single instance of 2VCPUs and 8GP memory.

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NoSQL Database Hadoop Big Data 40

ProjectPro

JUNE 6, 2025

Check out this comprehensive tutorial on Business Intelligence on Hadoop and unlock the full potential of your data! Organizations worldwide are realizing the potential of big data analytics, and Hadoop is undoubtedly the leading open-source technology used to manage this data. The global Hadoop market grew from $74.6

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Analytics Vidhya

FEBRUARY 6, 2023

Introduction HDFS (Hadoop Distributed File System) is not a traditional database but a distributed file system designed to store and process big data. It is a core component of the Apache Hadoop ecosystem and allows for storing and processing large datasets across multiple commodity servers.

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ProjectPro

JUNE 6, 2025

Want to find similar images in a massive database? This blog explores the FAISS Vector Database, a versatile tool applicable to various applications. Table of Contents FAISS Vector Database: Facebook AI Similarity Search FAISS Vector Database Features How Does the FAISS Vector Database Work? FAISS can handle it.

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Database Algorithm Datasets Hadoop 40

Teradata

APRIL 22, 2025

Register now Home Insights Data platform Article Modernizing Data Platforms for AI/ML and Generative AI: The Case for Migrating from Hadoop to Teradata Vantage Migrating from Hadoop to Teradata Vantage enhances AI/ML and generative AI capabilities, offering strategic benefits and efficiency improvements. million annually).

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ProjectPro

JUNE 6, 2025

Hadoop is very popular at the moment across industries. Being open source and having its unique distributed computing framework – Hadoop is easily adaptable and industries are finding it easier and cheaper to implement Hadoop. It covers all the concepts – HDFS, MapReduce, Hive, Pig, HBase in detail.

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ProjectPro

JUNE 6, 2025

Are you ready to join the database revolution? Data is the new oil" has become the mantra of the digital age, and in this era of rapidly increasing data volumes, the need for robust and scalable database management solutions has never been more critical. With such mind-boggling data growth, traditional databases won't cut it anymore.

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Database Management MongoDB NoSQL 40

ProjectPro

JUNE 6, 2025

The Hadoop Online Training course at ProjectPro is conducted through live interactive online sessions where the industry expert explains all the concepts in Hadoop – HDFS , MapReduce, Hive, Pig, Oozie , Zookeeper in detail. Very good session. Sandeep knew what he was talking about.”

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ProjectPro

JUNE 6, 2025

Say goodbye to database downtime, and hello to Amazon Aurora! A detailed study report by Market Research Future (MRFR) projects that the cloud database market value will likely reach USD 38.6 A detailed study report by Market Research Future (MRFR) projects that the cloud database market value will likely reach USD 38.6

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Database Technology Cloud PostgreSQL 40

ProjectPro

JUNE 6, 2025

Hadoop has become synonymous with Big Data and it is not a wonder. Big Data analysis has taken a huge surge with the advent of Hadoop. With its unique distributed computing system Hadoop has taken the Big Data world by storm. Learning Hadoop is essential for people who are looking to chart a career in the Big Data industry.

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AltexSoft

JUNE 7, 2021

Hadoop and Spark are the two most popular platforms for Big Data processing. To come to the right decision, we need to divide this big question into several smaller ones — namely: What is Hadoop? To come to the right decision, we need to divide this big question into several smaller ones — namely: What is Hadoop? scalability.

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Big Data Tools Hadoop Big Data Database-centric 98

ProjectPro

JUNE 6, 2025

The Hadoop Online Training course at ProjectPro is conducted through live interactive online sessions where the industry expert explains all the concepts in Hadoop – HDFS, MapReduce , Hive, Pig, Oozie, Zookeeper in detail over 42 hours of live webinar sessions. The instructor was the best.He I really don't have any complaints.”

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Hadoop Business Intelligence Software Engineer Software Engineering 40

ProjectPro

JUNE 6, 2025

Explore the world of data analytics with the top AWS databases! Check out this blog to discover your ideal database and uncover the power of scalable and efficient solutions for all your data analytical requirements. Let’s understand more about AWS Databases in the following section.

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Snowflake

NOVEMBER 26, 2024

For organizations considering moving from a legacy data warehouse to Snowflake, looking to learn more about how the AI Data Cloud can support legacy Hadoop use cases, or assessing new options if your current cloud data warehouse just isn’t scaling anymore, it helps to see how others have done it.

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ProjectPro

JUNE 6, 2025

Ever wished for a database that's as easy to use as your favorite app? Its scalability and performance-oriented database ensures that your applications operate smoothly and efficiently. ” AWS DocumentDB is a fully managed, NoSQL database service provided by Amazon Web Services (AWS).

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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.

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Hadoop Metadata Java Datasets 68

ProjectPro

JUNE 6, 2025

Table of Contents MongoDB NoSQL Database Certification- Hottest IT Certifications of 2025 MongoDB-NoSQL Database of the Developers and for the Developers MongoDB Certification Roles and Levels Why MongoDB Certification? One third of Fortune 100 companies are employing MongoDB NoSQL database for mission critical big data applications.

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Data Engineering Podcast

JUNE 14, 2021

Typically this means downloading files from object storage, or querying a database. To speed up the process, why not build the model inside the database so that you don’t have to move the information? Can you start by giving an overview of the current state of the market for databases that support in-process machine learning?

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ProjectPro

JUNE 6, 2025

Even Fortune 500 businesses (Facebook, Google, and Amazon) that have created their own high-performance database systems also typically use SQL to query data and conduct analytics. Despite the buzz surrounding NoSQL , Hadoop , and other big data technologies, SQL remains the most dominant language for data operations among all tech companies.

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ProjectPro

JUNE 6, 2025

MongoDB Inc offers an amazing database technology that is utilized mainly for storing data in key-value pairs. Getting acquainted with MongoDB will give you insights into how non-relational databases can be used for advanced web applications, like the ones offered by traditional relational databases.

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MongoDB Coding Project NoSQL 66

ProjectPro

JUNE 6, 2025

The datasets are usually present in Hadoop Distributed File Systems and other databases integrated with the platform. Hive is built on top of Hadoop and provides the measures to read, write, and manage the data. Explore SQL Database Projects to Add them to Your Data Engineer Resume.

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Data Engineering Podcast

DECEMBER 11, 2022

Managing the operational concerns for your database can be complex and expensive, especially if you need to scale to large volumes of data, high traffic, or geographically distributed usage. No more shipping and praying, you can now know exactly what will change in your database! Can you describe how Planetscale is implemented?

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Database MySQL Data Lake MongoDB 100

ProjectPro

JUNE 6, 2025

It involves various technical skills, including database design, data modeling, and ETL (Extract, Transform, Load) processes. Worried about finding good Hadoop projects with Source Code ? ProjectPro has solved end-to-end Hadoop projects to help you kickstart your Big Data career.

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Data Engineer Data Engineering Engineering Hadoop 49

ProjectPro

JUNE 6, 2025

You will need a complete 100% LinkedIn profile overhaul to land a top gig as a Hadoop Developer , Hadoop Administrator, Data Scientist or any other big data job role. Location and industry – Locations and industry helps recruiters sift through your LinkedIn profile on the available Hadoop or data science jobs in that locations.

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Hadoop Recruitment Big Data NoSQL 40

ProjectPro

JUNE 6, 2025

Big data operations require specialized tools and techniques since a relational database cannot manage such a large amount of data. Data Storage: The next step after data ingestion is to store it in HDFS or a NoSQL database such as HBase. How is Hadoop related to Big Data? How is Hadoop related to Big Data?

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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.

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Data Engineer Data Engineering Project Engineering 59

ProjectPro

JUNE 6, 2025

The role of a data engineer is to use tools for interacting with the database management systems. Whether an aspiring data engineer or database administrator, data warehousing skills are essential to building a successful data engineering career. You will work with unstructured data and NoSQL relational databases.

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Data Engineer Data Engineering Engineering Amazon Web Services 58

Team Data Science

SEPTEMBER 1, 2020

There were database developers, database guys, web interface specialists and yeah. So, let's bring Hadoop into play here. Everyone suddenly started talking about Hadoop. Everyone should learn Hadoop. There was a time when people said, "Okay, let's look at Hadoop and become a Hadoop expert.

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Data Science Hadoop Kafka Big Data 130

ProjectPro

JUNE 6, 2025

As a result, the database can be operated more quickly, improving the entire system's performance. AWS Glue vs. EMR - Flexibility and Adaptability Setting up and managing a cluster of Apache Hadoop and MapReduce components is simpler with Amazon EMR. Amazon EMR is also suitable for ETL operations and many other database processes.

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Big Data AWS Amazon Web Services Project 52

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.

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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). System for querying online databases.

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Data Engineer Data Engineering Engineering Hadoop 40

ProjectPro

JUNE 6, 2025

Apache Hadoop Development and Implementation Big Data Developers often work extensively with Apache Hadoop , a widely used distributed data storage and processing framework. They develop and implement Hadoop-based solutions to manage and analyze massive datasets efficiently.

Big Data 40

Big Data Hadoop Scala NoSQL 40

ProjectPro

JUNE 6, 2025

Database tools/frameworks like SQL, NoSQL , etc., Features of Apache Spark Allows Real-Time Stream Processing- Spark can handle and analyze data stored in Hadoop clusters and change data in real time using Spark Streaming. Apache Hive Apache Hive is a Hadoop-based data warehouse and management tool.

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Data Engineer Data Engineering Engineering Kafka 45

ProjectPro

JUNE 6, 2025

Hadoop job interview is a tough road to cross with many pitfalls, that can make good opportunities fall off the edge. One, often over-looked part of Hadoop job interview is - thorough preparation. RDBMS vs Hadoop MapReduce Feature RDBMS MapReduce Size of Data Traditional RDBMS can handle upto gigabytes of data.

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Hadoop Java Big Data Programming Language 40

ProjectPro

JUNE 6, 2025

This article will give you a sneak peek into the commonly asked HBase interview questions and answers during Hadoop job interviews. But at that moment, you cannot remember, and then blame yourself mentally for not preparing thoroughly for your Hadoop Job interview. HBase provides real-time read or write access to data in HDFS.

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