Big Data Analytics, Data Lakes and Information

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

Differentiating Between Data Lakes and Data Warehouses

Smart Data Collective

SEPTEMBER 23, 2020

While there is a lot of discussion about the merits of data warehouses, not enough discussion centers around data lakes. We talked about enterprise data warehouses in the past, so let’s contrast them with data lakes. Both data warehouses and data lakes are used when storing big data.

Data Lakes

Data Lakes Data Warehouse Big Data Big Data

Beyond data: Cloud analytics mastery for business brilliance

Dataconomy

SEPTEMBER 4, 2023

Cloud analytics is the art and science of mining insights from data stored in cloud-based platforms. By tapping into the power of cloud technology, organizations can efficiently analyze large datasets, uncover hidden patterns, predict future trends, and make informed decisions to drive their businesses forward.

Analytics

Analytics Analytics Big Data Analytics Big Data Analytics

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

AWS Machine Learning Blog

FEBRUARY 21, 2025

While these models are trained on vast amounts of generic data, they often lack the organization-specific context and up-to-date information needed for accurate responses in business settings. After ingesting the data, you create an agent with specific instructions: agent_instruction = """You are the Amazon Bedrock Agent.

AWS

AWS Natural Language Processing Machine Learning Machine Learning

Top Big Data Tools Every Data Professional Should Know

Pickl AI

FEBRUARY 23, 2025

Ultimately, leveraging Big Data analytics provides a competitive advantage and drives innovation across various industries. Big Data tools are essential for effectively managing and analysing this wealth of information. This proactive approach enables businesses to innovate faster than their competitors.

Big Data

Big Data Big Data Apache Hadoop Apache Kafka

10 Things AWS Can Do for Your SaaS Company

Smart Data Collective

FEBRUARY 20, 2022

Data storage databases. Your SaaS company can store and protect any amount of data using Amazon Simple Storage Service (S3), which is ideal for data lakes, cloud-native applications, and mobile apps. Hopefully, it was informative and helpful to you. Well, let’s find out. Artificial intelligence (AI).

AWS

AWS Cloud Computing Data Lakes Database

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

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

Unstructured data management and governance using AWS AI/ML and analytics services

Flipboard

OCTOBER 25, 2023

Unstructured data is information that doesn’t conform to a predefined schema or isn’t organized according to a preset data model. Unstructured information may have a little or a lot of structure but in ways that are unexpected or inconsistent. Text, images, audio, and videos are common examples of unstructured data.

AWS

AWS ML ML Analytics

Characteristics of Big Data: Types & 5 V’s of Big Data

Pickl AI

SEPTEMBER 17, 2024

The rise of Big Data has been fueled by advancements in technology that allow organisations to collect, store, and analyse vast amounts of information from diverse sources. Organisations must develop strategies for storing and processing this massive influx of information.

Big Data

Big Data Big Data Big Data Analytics Big Data Analytics

A Comprehensive Guide to the main components of Big Data

Pickl AI

DECEMBER 2, 2024

This explosive growth of data is driven by various factors, including the proliferation of internet-connected devices, social media interactions, and the increasing digitization of business processes. 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

This explosive growth of data is driven by various factors, including the proliferation of internet-connected devices, social media interactions, and the increasing digitization of business processes. Key Takeaways Big Data originates from diverse sources, including IoT and social media.

Big Data

Big Data Big Data Data Lakes Apache Hadoop

Discover 3 Vital Signs Your Business is Ready for AI and Explosive Growth

Towards AI

FEBRUARY 21, 2023

Thanks to AI, businesses can now make more informed and strategic decisions, boost their efficiency, reduce costs and improve customer service. One meaningful sign is a comprehensive data-collection process in place that produces high-quality customer data that can be used to inform decisions.

Artificial Intelligence

Artificial Intelligence Artificial Intelligence AI AI

TDC Digital leverages IBM Cloud for transparent billing and improved customer satisfaction

IBM Journey to AI blog

MAY 19, 2023

With its flagship product, Mebook, TDC Digital offers a comprehensive ERP system that can cater to the specific information system requirements of different departments within a company. With high-speed file transfer, integrated services and cross-region offerings, IBM Cloud Object Storage allows you to leverage your data securely.

Big Data Analytics

Big Data Analytics Big Data Analytics Data Lakes Cloud Computing

How Getir reduced model training durations by 90% with Amazon SageMaker and AWS Batch

AWS Machine Learning Blog

DECEMBER 4, 2023

For more information about how to get started building your own ML pipelines with SageMaker, see Amazon SageMaker resources. Esra Kayabalı is a Senior Solutions Architect at AWS, specialized in the analytics domain, including data warehousing, data lakes, big data analytics, batch and real-time data streaming, and data integration.

AWS

AWS Predictive Analytics ML ML

Getir end-to-end workforce management: Amazon Forecast and AWS Step Functions

AWS Machine Learning Blog

DECEMBER 7, 2023

Historic transactional demand data, location-based weather information, holiday dates, promotions and marketing campaign data are the features used in the model as shown in the graph below. These daily predictions are subsequently broken down into hourly segments, as depicted in the following graph.

AWS

AWS Algorithm Data Science Machine Learning

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. This can add stress to data management teams and data governance processes.

Analytics

Analytics Analytics Big Data Analytics Big Data Analytics

Big Data Syllabus: A Comprehensive Overview

Pickl AI

AUGUST 9, 2024

Volume It refers to the sheer amount of data generated daily, which can range from terabytes to petabytes. Organisations must develop strategies to store and manage this vast amount of information effectively. Velocity It indicates the speed at which data is generated and processed, necessitating real-time analytics capabilities.

Big Data

Big Data Big Data Big Data Analytics Big Data Analytics

Understanding Business Intelligence Architecture: Key Components

Pickl AI

JANUARY 28, 2025

Summary: Understanding Business Intelligence Architecture is essential for organizations seeking to harness data effectively. This framework includes components like data sources, integration, storage, analysis, visualization, and information delivery. Data Lakes: These store raw, unprocessed data in its original format.

Business Intelligence

Business Intelligence Business Intelligence ETL Data Lakes

How Netflix Applies Big Data Across Business Verticals: Insights and Strategies

Pickl AI

SEPTEMBER 18, 2024

Read More: How Airbnb Uses Big Data and Machine Learning to Offer World-Class Service Netflix’s Big Data Infrastructure Netflix’s data infrastructure is one of the most sophisticated globally, built primarily on cloud technology. petabytes of data. How Netflix Leverages the Power of Big Data?

Big Data

Big Data Big Data Apache Kafka Big Data Analytics

How to Effectively Handle Unstructured Data Using AI

DagsHub

NOVEMBER 11, 2024

In this article, we’ll explore how AI can transform unstructured data into actionable intelligence, empowering you to make informed decisions, enhance customer experiences, and stay ahead of the competition. What is Unstructured Data? We only have the video without any information.

AI

AI AI Data Lakes Database

Demand forecasting at Getir built with Amazon Forecast

AWS Machine Learning Blog

MAY 15, 2023

For more information about how to get started building your own pipelines with Forecast, see Amazon Forecast resources. You can also visit AWS Step Functions to get more information about how to build automated processes and orchestrate and create ML pipelines. Happy forecasting, and start improving your business today!

Algorithm

Algorithm Data Scientist Machine Learning Machine Learning

Amazon SageMaker Feature Store now supports cross-account sharing, discovery, and access

AWS Machine Learning Blog

FEBRUARY 13, 2024

The following diagram shows two different data scientist teams, from two different AWS accounts, who share and use the same central feature store to select the best features needed to build their ML models. For more information about getting started, refer to Get started with Amazon SageMaker Feature Store.

AWS

AWS ML ML Machine Learning

Unfolding the Details of Hive in Hadoop

Pickl AI

JULY 6, 2023

These work together to enable efficient data processing and analysis: · Hive Metastore It is a central repository that stores metadata about Hive’s tables, partitions, and schemas. Processing of Data Once the data is stored, Hive provides a metadata layer allowing users to define the schema and create tables.

Hadoop

Hadoop SQL Big Data Big Data

Your Complete Roadmap to Become an Azure Data Scientist

Pickl AI

SEPTEMBER 5, 2024

Storage Solutions: Secure and scalable storage options like Azure Blob Storage and Azure Data Lake Storage. Key features and benefits of Azure for Data Science include: Scalability: Easily scale resources up or down based on demand, ideal for handling large datasets and complex computations.

Azure

Azure Data Scientist Data Science Machine Learning

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

AWS Machine Learning Blog

NOVEMBER 12, 2024

Focused on addressing the challenge of agricultural data standardization, Agmatix has developed proprietary patented technology to harmonize and standardize data, facilitating informed decision-making in agriculture. Multi-source data is initially received and stored in an Amazon Simple Storage Service (Amazon S3) data lake.

AWS

AWS AI AI Data Lakes

Access Amazon Redshift Managed Storage tables through Apache Spark on AWS Glue and Amazon EMR using Amazon SageMaker Lakehouse

Flipboard

MAY 15, 2025

These organizations have a huge demand for lakehouse solutions that combine the best of data warehouses and data lakes to simplify data management with easy access to all data from their preferred engines. Amazon SageMaker Unified Studio , Amazon EMR 7.5.0 and higher, and AWS Glue 5.0 catalog_name}.client.region',

AWS

AWS SQL Data Lakes Data Warehouse

Why Unstructured Data Is Sorting Itself Out

Flipboard

JUNE 16, 2025

Photo by Jim WATSON / AFP) (Photo by JIM WATSON/AFP via Getty Images) AFP via Getty Images Information, without order, is chaotic. Attempting to work with data without structure and form is rather like watching white noise fuzz on an un-cabled television set, where shapes are almost familiar, but devoid of any recognizable manifestation.

Big Data

Big Data Big Data Machine Learning Machine Learning

Data Science Current

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

Differentiating Between Data Lakes and Data Warehouses

Trending Sources

Beyond data: Cloud analytics mastery for business brilliance

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

Top Big Data Tools Every Data Professional Should Know

10 Things AWS Can Do for Your SaaS Company

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

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

Unstructured data management and governance using AWS AI/ML and analytics services

Characteristics of Big Data: Types & 5 V’s of Big Data

A Comprehensive Guide to the main components of Big Data

A Comprehensive Guide to the Main Components of Big Data

Discover 3 Vital Signs Your Business is Ready for AI and Explosive Growth

TDC Digital leverages IBM Cloud for transparent billing and improved customer satisfaction

How Getir reduced model training durations by 90% with Amazon SageMaker and AWS Batch

Getir end-to-end workforce management: Amazon Forecast and AWS Step Functions

Mainframe Data: Empowering Democratized Cloud Analytics

Big Data Syllabus: A Comprehensive Overview

Understanding Business Intelligence Architecture: Key Components

How Netflix Applies Big Data Across Business Verticals: Insights and Strategies

How to Effectively Handle Unstructured Data Using AI

Demand forecasting at Getir built with Amazon Forecast

Amazon SageMaker Feature Store now supports cross-account sharing, discovery, and access

Unfolding the Details of Hive in Hadoop

Your Complete Roadmap to Become an Azure Data Scientist

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

Access Amazon Redshift Managed Storage tables through Apache Spark on AWS Glue and Amazon EMR using Amazon SageMaker Lakehouse

Why Unstructured Data Is Sorting Itself Out

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