Big Data Analytics, Blog and Data Lakes

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Data Lakes

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

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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. This blog post has demonstrated how AWS can greatly benefit your SaaS company, on multiple levels. Conclusions.

AWS

AWS Cloud Computing Data Lakes Database

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Big Data – Das Versprechen wurde eingelöst

Data Science Blog

MARCH 14, 2023

Von Data Science spricht auf Konferenzen heute kaum noch jemand und wurde hype-technisch komplett durch Machine Learning bzw. Big Data Analytics erreicht die nötige Reife Der Begriff Big Data war schon immer etwas schwammig und wurde von vielen Unternehmen und Experten schnell auch im Kontext kleinerer Datenmengen verwendet.

Big Data

Big Data Big Data Apache Hadoop Data Science

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. Chaithanya Maisagoni is a Senior Software Development Engineer (AI/ML) in Amazons Worldwide Returns and ReCommerce organization.

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

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

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

IBM Journey to AI blog

MAY 19, 2023

With high-speed file transfer, integrated services and cross-region offerings, IBM Cloud Object Storage allows you to leverage your data securely. In addition, it helps to reduce backup costs, provide permanent access to archived data, store data for cloud-native applications and create data lakes for big data analytics and AI.

Big Data Analytics

Big Data Analytics Big Data Analytics Data Lakes Cloud Computing

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

Pickl AI

SEPTEMBER 17, 2024

Summary: This blog delves into the multifaceted world of Big Data, covering its defining characteristics beyond the 5 V’s, essential technologies and tools for management, real-world applications across industries, challenges organisations face, and future trends shaping the landscape.

Big Data

Big Data Big Data Big Data Analytics Big Data Analytics

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

AWS Machine Learning Blog

DECEMBER 4, 2023

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. She has worked on commercial, supply chain, and discovery-related projects.

AWS

AWS Predictive Analytics ML ML

Big Data Syllabus: A Comprehensive Overview

Pickl AI

AUGUST 9, 2024

A well-structured syllabus for Big Data encompasses various aspects, including foundational concepts, technologies, data processing techniques, and real-world applications. This blog aims to provide a comprehensive overview of a typical Big Data syllabus, covering essential topics that aspiring data professionals should master.

Big Data

Big Data Big Data Big Data Analytics Big Data Analytics

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

AWS Machine Learning Blog

DECEMBER 7, 2023

Esra Kayabalı is a Senior Solutions Architect at AWS, specializing in the analytics domain including data warehousing, data lakes, big data analytics, batch and real-time data streaming and data integration. He loves combining open-source projects with cloud services.

AWS

AWS Algorithm Data Science Machine Learning

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

Pickl AI

SEPTEMBER 18, 2024

Introduction Netflix has transformed the entertainment landscape, not just through its vast library of content but also by leveraging Big Data across various business verticals. It utilises Amazon Web Services (AWS) as its main data lake, processing over 550 billion events daily—equivalent to approximately 1.3

Big Data

Big Data Big Data Apache Kafka Big Data Analytics

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. Cross-account feature group controls With SageMaker Feature Store, you can share feature group resources across accounts.

AWS

AWS ML ML Machine Learning

Understanding Business Intelligence Architecture: Key Components

Pickl AI

JANUARY 28, 2025

Introduction Business Intelligence (BI) architecture is a crucial framework that organizations use to collect, integrate, analyze, and present business data. This architecture serves as a blueprint for BI initiatives, ensuring that data-driven decision-making is efficient and effective.

Business Intelligence

Business Intelligence Business Intelligence ETL Data Lakes

Demand forecasting at Getir built with Amazon Forecast

AWS Machine Learning Blog

MAY 15, 2023

Esra Kayabalı is a Senior Solutions Architect at AWS, specializing in the analytics domain including data warehousing, data lakes, big data analytics, batch and real-time data streaming and data integration. He has worked on Personalization and Supply Chain related projects.

Algorithm

Algorithm Data Scientist Machine Learning Machine Learning

Azure Data Engineer Jobs

Pickl AI

APRIL 6, 2023

Accordingly, one of the most demanding roles is that of Azure Data Engineer Jobs that you might be interested in. The following blog will help you know about the Azure Data Engineering Job Description, salary, and certification course. Data Warehousing concepts and knowledge should be strong.

Azure

Azure Data Engineering Data Engineering Data Engineering

Unfolding the Details of Hive in Hadoop

Pickl AI

JULY 6, 2023

Hive is a powerful data warehousing infrastructure that provides an interface for querying and analyzing large datasets stored in Hadoop. In this blog, we will explore the key aspects of Hive Hadoop. Hive is a data warehousing infrastructure built on top of Hadoop. Here comes the role of Hive in Hadoop. What is Hadoop ?

Hadoop

Hadoop SQL Big Data Big Data

Your Complete Roadmap to Become an Azure Data Scientist

Pickl AI

SEPTEMBER 5, 2024

Summary: This blog provides a comprehensive roadmap for aspiring Azure Data Scientists, outlining the essential skills, certifications, and steps to build a successful career in Data Science using Microsoft Azure. Storage Solutions: Secure and scalable storage options like Azure Blob Storage and Azure Data Lake Storage.

Azure

Azure Data Scientist Machine Learning Data Science

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

Differentiating Between Data Lakes and Data Warehouses

Webinars

Trending Sources

10 Things AWS Can Do for Your SaaS Company

Webinars

Big Data – Das Versprechen wurde eingelöst

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

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

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

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

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

Big Data Syllabus: A Comprehensive Overview

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

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

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

Understanding Business Intelligence Architecture: Key Components

Demand forecasting at Getir built with Amazon Forecast

Azure Data Engineer Jobs

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

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