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. Apache Spark , on the other hand, is an analytics framework to process high-volume datasets.

Hadoop 45

Hadoop Java Big Data Tools SQL 45

ProjectPro

JUNE 6, 2025

These formats are data models and serve as the foundation for an ETL developer's definition of the tools necessary for data transformation. An ETL developer should be familiar with SQL/NoSQL databases and data mapping to understand data storage requirements and design warehouse layout.

Data Engineering 59

Data Engineering Data Engineer Engineering ETL Tools 59

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

MARCH 19, 2015

Big Data NoSQL databases were pioneered by top internet companies like Amazon, Google, LinkedIn and Facebook to overcome the drawbacks of RDBMS. RDBMS is not always the best solution for all situations as it cannot meet the increasing growth of unstructured data.

NoSQL 49

NoSQL Big Data SQL Database-centric 49

ProjectPro

JUNE 6, 2025

Big data enables businesses to get valuable insights into their products or services. Almost every company employs data models and big data technologies to improve its techniques and marketing campaigns. Most leading companies use big data analytical tools to enhance business decisions and increase revenues.

Big Data 40

Big Data Hadoop Relational Database NoSQL 40

ProjectPro

JUNE 6, 2025

BigQuery is a highly scalable data warehouse platform with a built-in query engine offered by Google Cloud Platform. It provides a powerful and easy-to-use interface for large-scale data analysis, allowing users to store, query, analyze, and visualize massive datasets quickly and efficiently. What is Google BigQuery Used for?

Bytes 40

Bytes Google Cloud Data Warehouse Cloud Storage 40

ProjectPro

JUNE 6, 2025

Decide the process of Data Extraction and transformation, either ELT or ETL (Our Next Blog) Transforming and cleaning data to improve data reliability and usage ability for other teams from Data Science or Data Analysis. Dealing With different data types like structured, semi-structured, and unstructured data.

Data Science 40

Data Science Data Engineering Data Engineer Engineering 40

ProjectPro

JUNE 6, 2025

This is important since big data can be structured or unstructured or any other format. Therefore, data engineers need data transformation tools to transform and process big data into the desired format. Database tools/frameworks like SQL, NoSQL , etc., GraphX is an API for graph processing in Apache Spark.

Data Engineering 45

Data Engineering Data Engineer Engineering Kafka 45

ProjectPro

JUNE 6, 2025

” AWS DocumentDB is a fully managed, NoSQL database service provided by Amazon Web Services (AWS). This popular open-source NoSQL database makes it an ideal choice for applications that require the flexibility of a document database while benefiting from AWS's scalability, reliability, and management features.

AWS 40

AWS Database MongoDB Management 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

Project Idea: Start data engineering pipeline by sourcing publicly available or simulated Uber trip datasets, for example, the TLC Trip record dataset.Use Python and PySpark for data ingestion, cleaning, and transformation. This project will help analyze user data for actionable insights.

Data Engineering 59

Data Engineering Data Engineer Project Engineering 59

ProjectPro

JUNE 6, 2025

Business Analysts can successfully transition to Data Scientists with the right training, education, and experience. A degree in computer science, statistics, or data science can also help build the necessary foundation. Uses statistical and computational methods to analyze and interpret data. js, and ggplot2. js, and ggplot2.

Business Analyst 40

Business Analyst Data Mining Portfolio Data Science 40

ProjectPro

JUNE 6, 2025

Their role involves data extraction from multiple databases, APIs, and third-party platforms, transforming it to ensure data quality, integrity, and consistency, and then loading it into centralized data storage systems. AWS Glue offers scalability, high performance, and the ability to handle large datasets seamlessly.

Data Engineering 40

Data Engineering Data Engineer Engineering ETL Tools 40

ProjectPro

JUNE 6, 2025

Hadoop has become the go-to big data technology because of its power for processing large amounts of semi-structured and unstructured data. Hadoop is not popular for its processing speed in dealing with small data sets. It has a robust community support that is evolving over time with novel advancements.

Hadoop 45

Hadoop IT Retail Big Data 45

ProjectPro

JUNE 6, 2025

Characteristics of a Data Science Pipeline Data Science Pipeline Workflow Data Science Pipeline Architecture Building a Data Science Pipeline - Steps Data Science Pipeline Tools 5 Must-Try Projects on Building a Data Science Pipeline Master Building Data Pipelines with ProjectPro!

Data Science 40

Data Science Building Data Lake AWS 40

ProjectPro

JUNE 6, 2025

Relational Database Management Systems (RDBMS) Non-relational Database Management Systems Relational Databases primarily work with structured data using SQL (Structured Query Language). SQL works on data arranged in a predefined schema. Non-relational databases support dynamic schema for unstructured data.

Data Engineering 40

Data Engineering Data Engineer Engineering Hadoop 40

ProjectPro

JUNE 6, 2025

Apart from Python, you will master several highly demanded skills such as SQL, RDBMS, ETL, Data Warehousing, NoSQL, and Spark, all supported by interactive labs and projects. Throughout the program, you will build a rich portfolio of projects, earning a Professional Certificate in data engineering and a Digital badge from IBM.

Data Engineering 45

Data Engineering Data Engineer Cloud Engineering 45

ProjectPro

JUNE 6, 2025

They include relational databases like Amazon RDS for MySQL, PostgreSQL, and Oracle and NoSQL databases like Amazon DynamoDB. Database Variety: AWS provides multiple database options such as Aurora (relational), DynamoDB (NoSQL), and ElastiCache (in-memory), letting startups choose the best-fit tech for their needs.

AWS 40

AWS Database Amazon Web Services MySQL 40

ProjectPro

JUNE 6, 2025

While this problem can be solved using various machine learning algorithms as well but with an increase of data, there might be limitations for the typical models in use. To solve the problem, Spark is used for doing descriptive and predictive analysis on huge datasets.

Hadoop 40

Hadoop Project Big Data Scala 40

AltexSoft

MAY 14, 2021

As you now know the key characteristics, it gets clear that not all data can be referred to as Big Data. What is Big Data analytics? Big Data analytics is the process of finding patterns, trends, and relationships in massive datasets that can’t be discovered with traditional data management techniques and tools.

Big Data 78

Big Data Data Analytics IT NoSQL 78

ProjectPro

JUNE 6, 2025

Source- PySpark Project- Build a Data Pipeline using Kafka and Redshift You can also explore this Real-time Data Ingestion Project using Hadoop and Kafka, which analyzes publicly available COVID-19 datasets. It offers a scalable and cost-effective platform for processing and analyzing large datasets.

Data Ingestion 40

Data Ingestion Kafka Google Cloud AWS 40

AltexSoft

JUNE 7, 2021

Apache Hadoop is an open-source framework written in Java for distributed storage and processing of huge datasets. The keyword here is distributed since the data quantities in question are too large to be accommodated and analyzed by a single computer. A powerful Big Data tool, Apache Hadoop alone is far from being almighty.

Big Data Tools 98

Big Data Tools Hadoop Big Data Database-centric 98

ProjectPro

JUNE 6, 2025

Discover different types of LLM data analysis agents, learn how to build your own, and explore the steps on how to create an LLM-powered data analysis agent that processes market data, analyzes trends, and generates valuable insights for cryptocurrency traders and investors. Databases: Querying data using SQL/ NoSQL databases.

Data Analysis 40

Data Analysis Building Raw Data Machine Learning 40

Knowledge Hut

DECEMBER 21, 2023

In the present-day world, almost all industries are generating humongous amounts of data, which are highly crucial for the future decisions that an organization has to make. This massive amount of data is referred to as “big data,” which comprises large amounts of data, including structured and unstructured data that has to be processed.

Hadoop 52

Hadoop Big Data NoSQL Unstructured Data 52

Knowledge Hut

DECEMBER 26, 2023

If we look at history, the data that was generated earlier was primarily structured and small in its outlook. A simple usage of Business Intelligence (BI) would be enough to analyze such datasets. However, as we progressed, data became complicated, more unstructured, or, in most cases, semi-structured.

Data Engineering 98

Data Engineering Data Engineer Engineering Pipeline-centric 98

Knowledge Hut

DECEMBER 26, 2023

These skills are essential to collect, clean, analyze, process and manage large amounts of data to find trends and patterns in the dataset. The dataset can be either structured or unstructured or both. In this article, we will look at some of the top Data Science job roles that are in demand in 2024.

Data Science 97

Data Science BI Data Mining Business Intelligence 97

ProjectPro

JUNE 6, 2025

Mathematical Expertise- Strong understanding of statistics, linear algebra, and probability to make sense of structured/unstructured data, algorithms, and machine learning systems. Data Analytics- Knowing how to clean, analyze, and interpret data is crucial. SQL, NoSQL) are essential. Tableau Certified Associate).

Machine Learning 40

Machine Learning Computer Science Consulting Software Engineering 40

Monte Carlo

JANUARY 5, 2024

Data lakehouse architecture combines the benefits of data warehouses and data lakes, bringing together the structure and performance of a data warehouse with the flexibility of a data lake. The data lakehouse’s semantic layer also helps to simplify and open data access in an organization.

Architecture 52

Architecture Data Lake Metadata NoSQL 52

Monte Carlo

JANUARY 5, 2024

Data lakehouse architecture combines the benefits of data warehouses and data lakes, bringing together the structure and performance of a data warehouse with the flexibility of a data lake. The data lakehouse’s semantic layer also helps to simplify and open data access in an organization.

Architecture 52

Architecture Data Lake Metadata NoSQL 52

ProjectPro

JUNE 6, 2025

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. Apache Spark - Apache Spark is an open-source analytics engine that computes and processes large datasets. These instances use their local storage to store data.

Cloud Computing 53

Cloud Computing Cloud Amazon Web Services AWS 53

ProjectPro

JUNE 6, 2025

Aurora can scale up to 64TB of storage and up to 15 replicas, allowing it to handle large datasets and high traffic volumes. Data Model DynamoDB is a NoSQL database, meaning it doesn't require a predefined schema and can handle unstructured data. Worried about finding good Hadoop projects with Source Code ?

Database 40

Database Technology Cloud PostgreSQL 40

ProjectPro

JUNE 6, 2025

Storage Layer: This is a centralized repository where all the data loaded into the data lake is stored. HDFS is a cost-effective solution for the storage layer since it supports storage and querying of both structured and unstructured data. Insights from the system may be used to process the data in different ways.

Data Lake 40

Data Lake Data Warehouse Cloud Hadoop 40

Knowledge Hut

APRIL 23, 2024

In the modern data-driven landscape, organizations continuously explore avenues to derive meaningful insights from the immense volume of information available. Two popular approaches that have emerged in recent years are data warehouse and big data. Big data offers several advantages.

Data Warehouse 52

Data Warehouse Big Data Unstructured Data Data Ingestion 52

AltexSoft

JUNE 26, 2023

We’ll particularly explore data collection approaches and tools for analytics and machine learning projects. What is data collection? It’s the first and essential stage of data-related activities and projects, including business intelligence , machine learning , and big data analytics.

Data Collection 52

Data Collection Machine Learning Unstructured Data Non-relational Database 52

ProjectPro

JUNE 6, 2025

Data Analysis Tools- How does Big Data Analytics Benefit Businesses? Big data is much more than just a buzzword. 95 percent of companies agree that managing unstructured data is challenging for their industry. Big data analysis tools are particularly useful in this scenario. and web services.

Data Analysis Tools 45

Data Analysis Tools Data Analysis BI R (Programming) 45

Knowledge Hut

JUNE 23, 2023

Data warehousing to aggregate unstructured data collected from multiple sources. Data architecture to tackle datasets and the relationship between processes and applications. Apache Hadoop-based analytics to compute distributed processing and storage against datasets. Step 4 - Who Can Become a Data Engineer?

Data Engineering 52

Data Engineering Data Engineer Engineering Non-relational Database 52

Knowledge Hut

NOVEMBER 3, 2023

The need for efficient and agile data management products is higher than ever before, given the ongoing landscape of data science changes. MongoDB is a NoSQL database that’s been making rounds in the data science community. What is MongoDB for Data Science?

MongoDB 52

MongoDB Data Science NoSQL ETL Tools 52