AWS Big Data

DECEMBER 4, 2024

SageMaker still includes all the existing ML and AI capabilities you’ve come to know and love for data wrangling, human-in-the-loop data labeling with Amazon SageMaker Ground Truth , experiments, MLOps, Amazon SageMaker HyperPod managed distributed training, and more. The tools to transform your business are here.

Data Analytics 94

Data Analytics Analytics Data Lake Data Quality 94

AWS Big Data

JULY 31, 2024

In the current industry landscape, data lakes have become a cornerstone of modern data architecture, serving as repositories for vast amounts of structured and unstructured data. Maintaining data consistency and integrity across distributed data lakes is crucial for decision-making and analytics.

Data Lake 115

Data Lake Marketing Data Processing Management 115

AWS Big Data

JUNE 10, 2024

For detailed information on managing your Apache Hive metastore using Lake Formation permissions, refer to Query your Apache Hive metastore with AWS Lake Formation permissions. In this post, we present a methodology for deploying a data mesh consisting of multiple Hive data warehouses across EMR clusters.

Data Lake 105

Data Lake Metadata Data Warehouse Data Processing 105

AWS Big Data

NOVEMBER 14, 2024

The landscape of big data management has been transformed by the rising popularity of open table formats such as Apache Iceberg, Apache Hudi, and Linux Foundation Delta Lake. These formats, designed to address the limitations of traditional data storage systems, have become essential in modern data architectures.

Metadata 118

Metadata Data Warehouse Big Data Data Lake 118

AWS Big Data

DECEMBER 4, 2024

While traditional extract, transform, and load (ETL) processes have long been a staple of data integration due to its flexibility, for common use cases such as replication and ingestion, they often prove time-consuming, complex, and less adaptable to the fast-changing demands of modern data architectures.

Data Integration 106

Data Integration Data Lake Statistics Data-driven 106

AWS Big Data

FEBRUARY 14, 2023

Organizations have chosen to build data lakes on top of Amazon Simple Storage Service (Amazon S3) for many years. A data lake is the most popular choice for organizations to store all their organizational data generated by different teams, across business domains, from all different formats, and even over history.

Data Lake 95

Data Lake Statistics Data Architecture Finance 95

AWS Big Data

NOVEMBER 7, 2024

Tens of thousands of customers use Amazon Redshift every day to run analytics, processing exabytes of data for business insights. times better price performance than other cloud data warehouses. For more details, refer to the BladeBridge Analyzer Demo. Amazon Redshift is built for scale and delivers up to 7.9

Data Warehouse 103

Data Warehouse Reporting Big Data Data Lake 103

AWS Big Data

MARCH 28, 2023

As organizations across the globe are modernizing their data platforms with data lakes on Amazon Simple Storage Service (Amazon S3), handling SCDs in data lakes can be challenging.

Data Lake 89

Data Lake Testing Snapshot Big Data 89

AWS Big Data

JULY 21, 2023

This leads to having data across many instances of data warehouses and data lakes using a modern data architecture in separate AWS accounts. We recently announced the integration of Amazon Redshift data sharing with AWS Lake Formation. Take note of this role’s ARN to use later in the steps.

Data Lake 97

Data Lake Data Warehouse Marketing Management 97

AWS Big Data

MARCH 7, 2024

At the same time, they need to optimize operational costs to unlock the value of this data for timely insights and do so with a consistent performance. With this massive data growth, data proliferation across your data stores, data warehouse, and data lakes can become equally challenging.

Data Lake 129

Data Lake Analytics Dashboards Metrics 129

AWS Big Data

OCTOBER 30, 2024

Automate ingestion from a single data source With a auto-copy job, you can automate ingestion from a single data source by creating one job and specifying the path to the S3 objects that contain the data. The S3 object path can reference a set of folders that have the same key prefix.

Data Warehouse 97

Data Warehouse Sales Data Lake Recreation/Entertainment 97

CIO Business Intelligence

OCTOBER 13, 2023

Data architecture is a complex and varied field and different organizations and industries have unique needs when it comes to their data architects. Solutions data architect: These individuals design and implement data solutions for specific business needs, including data warehouses, data marts, and data lakes.

Data Architecture 132

Data Architecture Data Warehouse Statistics Visualization 132

AWS Big Data

JANUARY 6, 2025

Amazon Redshift is a fast, scalable, and fully managed cloud data warehouse that allows you to process and run your complex SQL analytics workloads on structured and semi-structured data. It also helps you securely access your data in operational databases, data lakes, or third-party datasets with minimal movement or copying of data.

Analytics 97

Analytics Data Warehouse Big Data Metrics 97

AWS Big Data

JANUARY 24, 2023

This solution only replicates metadata in the Data Catalog, not the actual underlying data. To have a redundant data lake using Lake Formation and AWS Glue in an additional Region, we recommend replicating the Amazon S3-based storage using S3 replication , S3 sync, aws-s3-copy-sync-using-batch or S3 Batch replication process.

Data Architecture 81

Data Architecture Metadata Data Lake Snapshot 81

AWS Big Data

JANUARY 31, 2023

We have collected some of the key talks and solutions on data governance, data mesh, and modern data architecture published and presented in AWS re:Invent 2022, and a few data lake solutions built by customers and AWS Partners for easy reference.

Data Lake 95

Data Lake Data Governance Data Architecture Machine Learning 95

AWS Big Data

JANUARY 12, 2024

Ingestion: Data lake batch, micro-batch, and streaming Many organizations land their source data into their data lake in various ways, including batch, micro-batch, and streaming jobs. Amazon AppFlow can be used to transfer data from different SaaS applications to a data lake.

Data Lake 115

Data Lake Cost-Benefit Visualization Structured Data 115

AWS Big Data

OCTOBER 9, 2024

Today, customers are embarking on data modernization programs by migrating on-premises data warehouses and data lakes to the AWS Cloud to take advantage of the scale and advanced analytical capabilities of the cloud. Compare ongoing data that is replicated from the source on-premises database to the target S3 data lake.

Data Quality 104

Data Quality Data Lake Data Warehouse Metrics 104

AWS Big Data

OCTOBER 10, 2023

Due to the volume, velocity, and variety of data being ingested in data lakes, it can get challenging to develop and maintain policies and procedures to ensure data governance at scale for your data lake. Data confidentiality and data quality are the two essential themes for data governance.

Data Quality 109

Data Quality Data Governance Data Lake Testing 109

DataKitchen

JUNE 12, 2023

I spent much time de-categorizing DataOps: we are not discussing ETL, Data Lake, or Data Science. Today we have had over 20,000 signatures , millions of page views, and copycat clones, and it is frequently used as a reference guide. It’s Customer Journey for data analytic systems.

Testing 130

Testing Dashboards Data Lake Data Science 130

AWS Big Data

MARCH 27, 2023

Data lakes have come a long way, and there’s been tremendous innovation in this space. Today’s modern data lakes are cloud native, work with multiple data types, and make this data easily available to diverse stakeholders across the business. In the navigation pane, under Data catalog , choose Settings.

Data Lake 97

Data Lake Data-driven Management Data Architecture 97

AWS Big Data

FEBRUARY 16, 2024

Many customers are extending their data warehouse capabilities to their data lake with Amazon Redshift. They are looking to further enhance their security posture where they can enforce access policies on their data lakes based on Amazon Simple Storage Service (Amazon S3). Choose Create endpoint.

Data Lake 117

Data Lake Data Warehouse Testing Business Objectives 117

Smart Data Collective

AUGUST 9, 2019

However, more mainstream games use big data as well. Fortnite is one of the games that uses big data to offer great service to its customers. Even Forbes Tech Council has written about the benefits of data lakes in Fortnite. As it turns out, Epic uses a data lake for this massive undertaking.

Big Data 97

Big Data Data Lake Data Architecture Machine Learning 97

AWS Big Data

NOVEMBER 29, 2023

For more information about performance improvement capabilities, refer to the list of announcements below. Zero-ETL integration also enables you to load and analyze data from multiple operational database clusters in a new or existing Amazon Redshift instance to derive holistic insights across many applications.

Data Warehouse 121

Data Warehouse Analytics Data Lake Machine Learning 121

AWS Big Data

FEBRUARY 15, 2024

You might be modernizing your data architecture using Amazon Redshift to enable access to your data lake and data in your data warehouse, and are looking for a centralized and scalable way to define and manage the data access based on IdP identities. For Permission mode , select Lake Formation.

Management 111

Management Data Lake Sales Data Warehouse 111

AWS Big Data

MARCH 25, 2024

To learn more about RAG, refer to Question answering using Retrieval Augmented Generation with foundation models in Amazon SageMaker JumpStart. A RAG-based generative AI application can only produce generic responses based on its training data and the relevant documents in the knowledge base.

Data Lake 113

Data Lake Unstructured Data Management Snapshot 113

AWS Big Data

NOVEMBER 16, 2023

Amazon Redshift is a popular cloud data warehouse, offering a fully managed cloud-based service that seamlessly integrates with an organization’s Amazon Simple Storage Service (Amazon S3) data lake, real-time streams, machine learning (ML) workflows, transactional workflows, and much more—all while providing up to 7.9x

Enterprise 105

Enterprise Data Warehouse Data Lake Optimization 105

Cloudera

AUGUST 9, 2022

The CDP Disaster Recovery Reference Architecture. Today we announce the official release of the CDP Disaster Recovery Reference Architecture (DRRA). The CDP Disaster Recovery Reference Architecture is available in our public documentation within the CDP Reference Architectures microsite.

Data Lake 78

Data Lake Data Warehouse Data-driven IoT 78

AWS Big Data

NOVEMBER 13, 2023

Amazon Redshift is a fully managed data warehousing service that offers both provisioned and serverless options, making it more efficient to run and scale analytics without having to manage your data warehouse. Additionally, data is extracted from vendor APIs that includes data related to product, marketing, and customer experience.

Data Warehouse 109

Data Warehouse Analytics Data Lake Data Science 109

DataKitchen

OCTOBER 11, 2021

First, you must understand the existing challenges of the data team, including the data architecture and end-to-end toolchain. Figure 2: Example data pipeline with DataOps automation. In this project, I automated data extraction from SFTP, the public websites, and the email attachments.

Testing 152

Testing Metadata Dashboards Statistics 152

AWS Big Data

MAY 30, 2024

Amazon Redshift is a fast, scalable, and fully managed cloud data warehouse that allows you to process and run your complex SQL analytics workloads on structured and semi-structured data. It also helps you securely access your data in operational databases, data lakes, or third-party datasets with minimal movement or copying of data.

Data Warehouse 108

Data Warehouse Data Lake Cost-Benefit Structured Data 108

Cloudera

JUNE 13, 2024

After countless open-source innovations ushered in the Big Data era, including the first commercial distribution of HDFS (Apache Hadoop Distributed File System), commonly referred to as Hadoop, the two companies joined forces, giving birth to an entire ecosystem of technology and tech companies.

Big Data 103

Big Data Machine Learning Contextual Data Data Lake 103

Peter James Thomas

AUGUST 18, 2018

Convergent Evolution refers to something else. That was the Science, here comes the Technology… A Brief Hydrology of Data Lakes. Of course some architectures featured both paradigms as well. So far so simple. This is the essence of Convergent Evolution. This required additional investments in metadata.

Data Lake 63

Data Lake Data Warehouse Data mining Statistics 63

Cloudera

SEPTEMBER 15, 2022

Mark: The first element in the process is the link between the source data and the entry point into the data platform. At Ramsey International (RI), we refer to that layer in the architecture as the foundation, but others call it a staging area, raw zone, or even a source data lake. What is a data fabric?

Data Lake 83

Data Lake Data Architecture Data-driven Data Warehouse 83

AWS Big Data

FEBRUARY 6, 2023

For more details on how to configure and schedule the log collector, refer to the yarn-log-collector GitHub repo. For more information on how to use the YARN log organizer, refer to the yarn-log-organizer GitHub repo. He also understands how to apply technologies to solve big data problems and build a well-designed data architecture.

Dashboards 91

Dashboards Optimization Data Lake Cost-Benefit 91

AWS Big Data

APRIL 3, 2023

Tens of thousands of customers run business-critical workloads on Amazon Redshift , AWS’s fast, petabyte-scale cloud data warehouse delivering the best price-performance. With Amazon Redshift, you can query data across your data warehouse, operational data stores, and data lake using standard SQL.

Data Warehouse 105

Data Warehouse Testing Data Lake Data-driven 105

AWS Big Data

JANUARY 8, 2024

Kinesis Data Streams has native integrations with other AWS services such as AWS Glue and Amazon EventBridge to build real-time streaming applications on AWS. Refer to Amazon Kinesis Data Streams integrations for additional details. To access your data from Timestream, you need to install the Timestream plugin for Grafana.

Analytics 130

Analytics IoT Data-driven Snapshot 130

AWS Big Data

MARCH 3, 2023

Building data lakes from continuously changing transactional data of databases and keeping data lakes up to date is a complex task and can be an operational challenge. You can then apply transformations and store data in Delta format for managing inserts, updates, and deletes. with Apache Spark version 3.3.0)

Data Lake 96

Data Lake Dashboards Metrics Metadata 96