Big Data Analytics, Data Lakes and Data Quality

Data lakes vs. data warehouses: Decoding the data storage debate

Data Science Dojo

JANUARY 12, 2023

When it comes to data, there are two main types: data lakes and data warehouses. What is a data lake? An enormous amount of raw data is stored in its original format in a data lake until it is required for analytics applications. Which one is right for your business?

Data Lakes

Data Lakes Data Warehouse Hadoop Machine Learning

Essential data engineering tools for 2023: Empowering for management and analysis

Data Science Dojo

JULY 6, 2023

These tools provide data engineers with the necessary capabilities to efficiently extract, transform, and load (ETL) data, build data pipelines, and prepare data for analysis and consumption by other applications. Essential data engineering tools for 2023 Top 10 data engineering tools to watch out for in 2023 1.

Data Engineering

Data Engineering Data Engineering Data Engineer Data Engineering

Beyond data: Cloud analytics mastery for business brilliance

Dataconomy

SEPTEMBER 4, 2023

Text analytics is crucial for sentiment analysis, content categorization, and identifying emerging trends. Big data analytics: Big data analytics is designed to handle massive volumes of data from various sources, including structured and unstructured data.

Analytics

Analytics Analytics Big Data Analytics Big Data Analytics

Webinars

How to Achieve High-Accuracy Results When Using LLMs

MORE WEBINARS

Reducing hallucinations in LLM agents with a verified semantic cache using Amazon Bedrock Knowledge Bases

AWS Machine Learning Blog

FEBRUARY 21, 2025

He specializes in large language models, cloud infrastructure, and scalable data systems, focusing on building intelligent solutions that enhance automation and data accessibility across Amazons operations. Rajesh Nedunuri is a Senior Data Engineer within the Amazon Worldwide Returns and ReCommerce Data Services team.

AWS

AWS Natural Language Processing Machine Learning Machine Learning

Unlock the power of data governance and no-code machine learning with Amazon SageMaker Canvas and Amazon DataZone

AWS Machine Learning Blog

AUGUST 21, 2024

Amazon DataZone is a data management service that makes it quick and convenient to catalog, discover, share, and govern data stored in AWS, on-premises, and third-party sources. The data lake environment is required to configure an AWS Glue database table, which is used to publish an asset in the Amazon DataZone catalog.

Machine Learning

Machine Learning Machine Learning Data Governance ML

A Comprehensive Guide to the main components of Big Data

Pickl AI

DECEMBER 2, 2024

As organisations grapple with this vast amount of information, understanding the main components of Big Data becomes essential for leveraging its potential effectively. Key Takeaways Big Data originates from diverse sources, including IoT and social media.

Big Data

Big Data Big Data Data Lakes Apache Hadoop

A Comprehensive Guide to the Main Components of Big Data

Pickl AI

NOVEMBER 25, 2024

As organisations grapple with this vast amount of information, understanding the main components of Big Data becomes essential for leveraging its potential effectively. Key Takeaways Big Data originates from diverse sources, including IoT and social media.

Big Data

Big Data Big Data Data Lakes Apache Hadoop

Apply fine-grained data access controls with AWS Lake Formation in Amazon SageMaker Data Wrangler

AWS Machine Learning Blog

AUGUST 21, 2023

You can streamline the process of feature engineering and data preparation with SageMaker Data Wrangler and finish each stage of the data preparation workflow (including data selection, purification, exploration, visualization, and processing at scale) within a single visual interface.

AWS

AWS Data Lakes Clustering Data Preparation

Big Data Syllabus: A Comprehensive Overview

Pickl AI

AUGUST 9, 2024

Additionally, students should grasp the significance of Big Data in various sectors, including healthcare, finance, retail, and social media. Understanding the implications of Big Data analytics on business strategies and decision-making processes is also vital.

Big Data

Big Data Big Data Big Data Analytics Big Data Analytics

How to Effectively Handle Unstructured Data Using AI

DagsHub

NOVEMBER 11, 2024

In general, this data has no clear structure because it may manifest real-world complexity, such as the subtlety of language or the details in a picture. Advanced methods are needed to process unstructured data, but its unstructured nature comes from how easily it is made and shared in today's digital world.

AI

AI AI Data Lakes Database

Understanding Business Intelligence Architecture: Key Components

Pickl AI

JANUARY 28, 2025

This involves several key processes: Extract, Transform, Load (ETL): The ETL process extracts data from different sources, transforms it into a suitable format by cleaning and enriching it, and then loads it into a data warehouse or data lake. Data Lakes: These store raw, unprocessed data in its original format.

Business Intelligence

Business Intelligence Business Intelligence ETL Data Lakes

Mainframe Data: Empowering Democratized Cloud Analytics

Precisely

OCTOBER 16, 2023

Rapid advancements in digital technologies are transforming cloud-based computing and cloud analytics. Big data analytics, IoT, AI, and machine learning are revolutionizing the way businesses create value and competitive advantage. Secure data exchange takes on much greater importance.

Analytics

Analytics Analytics Big Data Analytics Big Data Analytics

Generative AI for agriculture: How Agmatix is improving agriculture with Amazon Bedrock

AWS Machine Learning Blog

NOVEMBER 12, 2024

Their data pipeline (as shown in the following architecture diagram) consists of ingestion, storage, ETL (extract, transform, and load), and a data governance layer. Multi-source data is initially received and stored in an Amazon Simple Storage Service (Amazon S3) data lake.

AWS

AWS AI AI Data Lakes

Data Science Current

Data lakes vs. data warehouses: Decoding the data storage debate

Essential data engineering tools for 2023: Empowering for management and analysis

Webinars

Trending Sources

Beyond data: Cloud analytics mastery for business brilliance

Webinars

Reducing hallucinations in LLM agents with a verified semantic cache using Amazon Bedrock Knowledge Bases

Unlock the power of data governance and no-code machine learning with Amazon SageMaker Canvas and Amazon DataZone

A Comprehensive Guide to the main components of Big Data

A Comprehensive Guide to the Main Components of Big Data

Apply fine-grained data access controls with AWS Lake Formation in Amazon SageMaker Data Wrangler

Big Data Syllabus: A Comprehensive Overview

How to Effectively Handle Unstructured Data Using AI

Understanding Business Intelligence Architecture: Key Components

Mainframe Data: Empowering Democratized Cloud Analytics

Generative AI for agriculture: How Agmatix is improving agriculture with Amazon Bedrock

Stay Connected