Analytics Vidhya

MARCH 12, 2025

In this article, we will explore the evolution of Iceberg, its key features like ACID transactions, partition evolution, and time travel, and how it integrates with modern data lakes. Well also dive into […] The post How to Use Apache Iceberg Tables? appeared first on Analytics Vidhya.

Data Lake

CIO Business Intelligence

OCTOBER 24, 2024

En este sentido, Telefónica Tech, en colaboración con Xylem e Ídrica, está desarrollando la infraestructura tecnológica para la creación del data lake que permitirá al Principado de Asturias optimizar la gestión, el análisis avanzado y la visualización de sus recursos hídricos, así como aplicar algoritmia para poder prevenir diferentes escenarios.

Data Lake

AWS Big Data

DECEMBER 17, 2024

Today, Amazon Redshift is used by customers across all industries for a variety of use cases, including data warehouse migration and modernization, near real-time analytics, self-service analytics, data lake analytics, machine learning (ML), and data monetization.

Data Lake

AWS Big Data

OCTOBER 29, 2024

This led to inefficiencies in data governance and access control. AWS Lake Formation is a service that streamlines and centralizes the data lake creation and management process. The Solution: How BMW CDH solved data duplication The CDH is a company-wide data lake built on Amazon Simple Storage Service (Amazon S3).

Data Lake

AWS Big Data

DECEMBER 4, 2024

Amazon SageMaker Lakehouse , now generally available, unifies all your data across Amazon Simple Storage Service (Amazon S3) data lakes and Amazon Redshift data warehouses, helping you build powerful analytics and AI/ML applications on a single copy of data. The tools to transform your business are here.

Data Analytics

AWS Big Data

JULY 28, 2025

To download the New York City Taxi – Yellow Trip Data dataset for January 2025 (Parquet file), navigate to NYC TLC Trip Record Data , expand 2025 , and choose Yellow Taxi Trip records under January section. Navigate to the Lake Formation console with a Lake Formation data lake administrator.

Data Quality

AWS Big Data

NOVEMBER 26, 2024

Initially, data warehouses were the go-to solution for structured data and analytical workloads but were limited by proprietary storage formats and their inability to handle unstructured data. Eventually, transactional data lakes emerged to add transactional consistency and performance of a data warehouse to the data lake.

Metadata

AWS Big Data

JUNE 30, 2025

Data teams can run complex, interactive Spark applications through Amazon SageMaker Unified Studio in compatibility mode while maintaining the table-level security boundaries provided by Lake Formation. This simplifies security and governance of your data lakes. through Lake Formation permissions.

Data Lake

CIO Business Intelligence

DECEMBER 6, 2024

It combines SQL analytics, data processing, AI development, data streaming, business intelligence, and search analytics. Another offering that AWS announced to support the integration is the SageMaker Data Lakehouse , aimed at helping enterprises unify data across Amazon S3 data lakes and Amazon Redshift data warehouses.

Data Analytics

CIO Business Intelligence

NOVEMBER 19, 2024

The innovations are part of Microsoft’s reimagining of the pillars of Microsoft Fabric with a focus on providing AI-powered tools for data projects and delivering an open and AI-ready data lake.

Data Lake

AWS Big Data

OCTOBER 23, 2024

Let’s expand the use case to run your data pipeline and perform extract, transform, and load (ETL) jobs when a new file lands in an Amazon Simple Storage Service (Amazon S3) bucket in your data lake. The modified architecture to support the data-aware scheduling is presented below.

Interactive

AWS Big Data

DECEMBER 20, 2024

The DataFrame code generation now extends beyond AWS Glue DynamicFrame to support a broader range of data processing scenarios.

Data Integration

AWS Big Data

JULY 31, 2025

More statistics about the underlying data can often help a query planner select a plan that leads to the best query performance, but this can require a tradeoff among the cost of computing, storing, and maintaining statistics, and might require additional query planning time.

Data Lake

KDnuggets

JULY 15, 2025

Its key goals are to store data in a format that supports fast querying and scalability and to enable real-time or near-real-time access for decision-making. Data Storage Next, choose how and where to store your processed data for analysis and reporting. How will you structure data for efficient querying?

Data Science

AWS Big Data

DECEMBER 4, 2024

With this new functionality, customers can create up-to-date replicas of their data from applications such as Salesforce, ServiceNow, and Zendesk in an Amazon SageMaker Lakehouse and Amazon Redshift. SageMaker Lakehouse gives you the flexibility to access and query your data in-place with all Apache Iceberg compatible tools and engines.

Data Integration

AWS Big Data

JANUARY 15, 2025

cycle_end"', "sagemakedatalakeenvironment_sub_db", ctas_approach=False) A similar approach is used to connect to shared data from Amazon Redshift, which is also shared using Amazon DataZone. datazone_env_twinsimsilverdata"."cycle_end";') She can reached via LinkedIn. Siamak Nariman is a Senior Product Manager at AWS.

IoT

AWS Big Data

MARCH 13, 2025

Unified access to your data is provided by Amazon SageMaker Lakehouse , a unified, open, and secure data lakehouse built on Apache Iceberg open standards. Now, theyre able to build and collaborate with their data and tools available in one experience, dramatically reducing time-to-value.

Analytics

AWS Big Data

DECEMBER 12, 2024

In the context of comprehensive data governance, Amazon DataZone offers organization-wide data lineage visualization using Amazon Web Services (AWS) services, while dbt provides project-level lineage through model analysis and supports cross-project integration between data lakes and warehouses.

Snapshot

AWS Big Data

JUNE 16, 2025

This shift requires shorter time to value and tighter collaboration among data analysts, data scientists, machine learning (ML) engineers, and application developers. However, the reality of scattered data across various systems—from data lakes to data warehouses and applications—makes it difficult to access and use data efficiently.

Data Lake

AWS Big Data

DECEMBER 19, 2024

Data lakes were originally designed to store large volumes of raw, unstructured, or semi-structured data at a low cost, primarily serving big data and analytics use cases. Enabling automatic compaction on Iceberg tables reduces metadata overhead on your Iceberg tables and improves query performance.

Data Lake

CIO Business Intelligence

OCTOBER 23, 2024

We pulled these people together, and defined use cases we could all agree were the best to demonstrate our new data capability. Once they were identified, we had to determine we had the right data. Then we migrated the data to our new data lake, and stood up the new platform.

Enterprise

AWS Big Data

DECEMBER 4, 2024

and Delta Lake 3.2.1 so you can solve advanced use cases around performance, cost, governance, and privacy in your data lakes. supports native integration with Amazon SageMaker Lakehouse to enable unified access across Amazon Redshift data warehouses and S3 data lakes. AWS Glue 5.0 Apache Iceberg 1.6.1,

Data Lake

Jen Stirrup

JULY 12, 2025

Create a Scalable Data Architecture Modern AI requires architectures designed for flexibility, performance, and scale: Implement cloud-based data platforms Adopt data lake/data mesh architectures Ensure real-time data processing capabilities Design for scalability and performance Build self-service data access capabilities 5.

Enterprise

AWS Big Data

JANUARY 9, 2025

These features allow efficient data corrections, gap-filling in time series, and historical data updates without disrupting ongoing analyses or compromising data integrity. Unlike direct Amazon S3 access, Iceberg supports these operations on petabyte-scale data lakes without requiring complex custom code.

Metadata

AWS Big Data

OCTOBER 30, 2024

Amazon DataZone now launched authentication supports through the Amazon Athena JDBC driver, allowing data users to seamlessly query their subscribed data lake assets via popular business intelligence (BI) and analytics tools like Tableau, Power BI, Excel, SQL Workbench, DBeaver, and more.

Visualization

CIO Business Intelligence

DECEMBER 20, 2024

Uniteds embrace of SageMaker and Bedrock as well as Amazon Q is going to be a game changer for building data products, said Mai-LanTomsenBukovec, AWS vice president of technology, who pointed to United Data Hub as a transformational component in its AI journey at re:Invent.

IT

Cloudera

OCTOBER 10, 2024

It combines the flexibility and scalability of data lake storage with the data analytics, data governance, and data management functionality of the data warehouse.

Optimization

CIO Business Intelligence

NOVEMBER 27, 2024

The Value of an Open Data Lakehouse An open data lakehouse provides a number of advantages that go beyond what other data architectures are capable of. And in the case of an open data lakehouse, like Cloudera , it brings the ability to operate both on-premises and in the public cloud.

Enterprise

AWS Big Data

OCTOBER 30, 2024

Eren Baydemir , a Technical Product Manager at AWS, has 15 years of experience in building customer-facing products and is currently focusing on data lake and file ingestion topics in the Amazon Redshift team. He was the CEO and co-founder of DataRow, which was acquired by Amazon in 2020.

Data Warehouse

CIO Business Intelligence

JULY 14, 2025

Overhauling the company’s data architecture was a top priority. First, Indeed moved data lakes from its on-premises environment to AWS. The company’s data was stored in Snowflake, Tableau, and various Elastic MapReduce (EMS)-based technologies, all of which Moisant and team moved to a unified data lake and lake house on AWS.

Data Lake