AWS Big Data

NOVEMBER 22, 2023

Data lakes are designed for storing vast amounts of raw, unstructured, or semi-structured data at a low cost, and organizations share those datasets across multiple departments and teams. The queries on these large datasets read vast amounts of data and can perform complex join operations on multiple datasets.

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Statistics Data Lake Optimization Data-driven 131

AWS Big Data

MARCH 2, 2023

Many organizations are building data lakes to store and analyze large volumes of structured, semi-structured, and unstructured data. In addition, many teams are moving towards a data mesh architecture, which requires them to expose their data sets as easily consumable data products.

Data Lake 98

Data Lake Testing Interactive Unstructured Data 98

AWS Big Data

MAY 7, 2024

It also makes it easier for engineers, data scientists, product managers, analysts, and business users to access data throughout an organization to discover, use, and collaborate to derive data-driven insights. Note that a managed data asset is an asset for which Amazon DataZone can manage permissions.

Metadata 109

Metadata Data Lake Data Processing Data-driven 109

AWS Big Data

AUGUST 13, 2024

With AWS Glue, you can discover and connect to hundreds of diverse data sources and manage your data in a centralized data catalog. It enables you to visually create, run, and monitor extract, transform, and load (ETL) pipelines to load data into your data lakes. Choose Store a new secret.

Data Processing 115

Data Processing Visualization Data Lake Data Processing 115

AWS Big Data

JUNE 6, 2023

It supports both data quality at rest and data quality in AWS Glue extract, transform, and load (ETL) pipelines. Data quality at rest focuses on validating the data stored in data lakes, databases, or data warehouses. It ensures that the data meets specific quality standards before it is consumed.

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Data Quality Data Lake Visualization Data-driven 97

AWS Big Data

OCTOBER 23, 2023

Modern applications store massive amounts of data on Amazon Simple Storage Service (Amazon S3) data lakes, providing cost-effective and highly durable storage, and allowing you to run analytics and machine learning (ML) from your data lake to generate insights on your data. table1 t1 join ` /database2`.table2

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Data Lake Visualization Optimization Interactive 124

Cloudera

JANUARY 21, 2021

Cloudera’s Data Warehouse service allows raw data to be stored in the cloud storage of your choice (S3, ADLSg2). It will be stored in your own namespace, and not force you to move data into someone else’s proprietary file formats or hosted storage. Proprietary file formats mean no one else is invited in! Separate compute.

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Data Warehouse Data Lake IT Analytics 94

AWS Big Data

AUGUST 27, 2024

runtime, complete the following steps to create the corresponding layer package for peycopog2 : Download psycopg2_binary-2.9.9-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl His background is in data warehouse/data lake – architecture, development and administration. cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl

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Metrics Dashboards Data Lake Optimization 105

Cloudera

JUNE 5, 2023

RK built some simple flows to pull streaming data into Google Cloud Storage and Snowflake. Many developers use DataFlow to filter/enrich streams and ingest into cloud data lakes and warehouses where the ability to process and route anywhere makes DataFlow very effective. His submission post can be found here.

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Testing Data Lake Data Processing IT 77

AWS Big Data

MARCH 6, 2024

The account on the right hosts the pseudonymization service, which you can deploy using the instructions provided in the Part 1 of this series. For an overview of how to build an ACID compliant data lake using Iceberg, refer to Build a high-performance, ACID compliant, evolving data lake using Apache Iceberg on Amazon EMR.

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Metrics Statistics Testing Data Lake 116

AWS Big Data

JUNE 6, 2023

Verify the job by running the following command: kubectl get pods -n data-team-a Enable access to the Spark UI The Spark UI is an important tool for data engineers because it allows you to track the progress of tasks, view detailed job and stage information, and analyze resource utilization to identify bottlenecks and optimize your code.

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Optimization Data Lake Cost-Benefit Management 97

AWS Big Data

AUGUST 1, 2024

We can determine the following are needed: An open data format ingestion architecture processing the source dataset and refining the data in the S3 data lake. This requires a dedicated team of 3–7 members building a serverless data lake for all data sources. You can import this in Query Editor V2.0.

Data Warehouse 115

Data Warehouse KPI Optimization Cost-Benefit 115

AWS Big Data

OCTOBER 17, 2023

Tens of thousands of customers use Amazon Redshift to gain business insights from their data. With Amazon Redshift, you can use standard SQL to query data across your data warehouse, operational data stores, and data lake. You will specify this path in the AWS SCT and data extraction agent settings.

Data Warehouse 111

Data Warehouse Data Processing Data Lake Management 111

AWS Big Data

JUNE 13, 2023

For instructions on installing Keycloak, refer to Keycloak Downloads. Download the SAML metadata file. Insert your specific host domain name where the Keycloak application resides in the following URL: [link] /realms/aws-realm/protocol/saml/descriptor. Download the Keycloak IdP SAML metadata file from that URL location.

Metadata 52

Metadata Dashboards Business Intelligence Data Lake 52

AWS Big Data

JUNE 19, 2023

Security Lake automatically centralizes security data from cloud, on-premises, and custom sources into a purpose-built data lake stored in your account. With Security Lake, you can get a more complete understanding of your security data across your entire organization. Choose Import.

Publishing 105

Publishing Dashboards Visualization Management 105

AWS Big Data

AUGUST 28, 2023

OpenSearch Ingestion reads Parquet formatted security data from the Security Lake managed Amazon S3 bucket and transforms the security logs into JSON documents. OpenSearch Ingestion ingests this OCSF compliant data into OpenSearch Service. Optionally, specify the Amazon S3 storage class for the data in Amazon Security Lake.

Dashboards 52

Dashboards Visualization Metadata Management 52

Alation

NOVEMBER 28, 2022

It is also hard to know whether one can trust the data within a spreadsheet. And they rarely, if ever, host the most current data available. Sathish Raju, cofounder & CTO, Kloudio and senior director of engineering, Alation: This presents challenges for both business users and data teams.

Metadata 52

Metadata Enterprise Cost-Benefit Finance 52

AWS Big Data

DECEMBER 4, 2024

The use of separate data warehouses and lakes has created data silos, leading to problems such as lack of interoperability, duplicate governance efforts, complex architectures, and slower time to value. You can use Amazon SageMaker Lakehouse to achieve unified access to data in both data warehouses and data lakes.

Data Lake 111

Data Lake Enterprise Data Warehouse Sales 111

Jet Global

FEBRUARY 23, 2024

An on-premise solution provides a high level of control and customization as it is hosted and managed within the organization’s physical infrastructure, but it can be expensive to set up and maintain. Next, identify the data sources that will be involved in the mapping.

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Data Warehouse Reporting Data Transformation Visualization 52

CIO Business Intelligence

FEBRUARY 13, 2025

The GPU-as-a-service model also minimizes the constantly evolving maintenance requirements of an AI infrastructure, including downloading massive amounts of genomics data, internet updates, and swapping Nvidia cards in and out, he says. We have 10 times the acceleration that we had before, Guo says.

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Cost-Benefit Data Lake Modeling Enterprise 129

AWS Big Data

APRIL 21, 2025

Refer to Data lake administrator permissions and Set up AWS Lake Formation. You can also refer to Simplify data access for your enterprise using Amazon SageMaker Lakehouse for the Lake Formation admin setup in your AWS account. An S3 bucket to host the sample Iceberg table data and metadata.

Data Lake 87

Data Lake Metadata Interactive Big Data 87

AWS Big Data

MAY 9, 2025

Many organizations build and operate enterprise-wide data mesh architectures using the AWS Glue Data Catalog and AWS Lake Formation for their Amazon Simple Storage Service (Amazon S3) based data lakes. AWS Glue is a serverless service that makes data integration simpler, faster, and cheaper. and Python 3.11.

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Data Lake Data Warehouse Marketing Management 62