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What is AWS Lake Formation?

AWS Lake Formation simplifies the creation of a secure data lake within a matter of days. A data lake functions as a centralized repository that is both curated and secured, allowing for the storage of all data types, whether they are in their original format or processed for analysis. By leveraging a data lake, organizations can break down data silos and integrate diverse analytics to uncover insights that lead to better business decisions. Nonetheless, the traditional approaches to setting up and managing these data lakes can be quite labor-intensive, complex, and lengthy. This includes tasks such as gathering data from multiple sources, monitoring data flows, setting up partitions, enabling encryption while managing keys, launching transformation jobs, and evaluating their performance. Moreover, it requires reformatting data into a columnar structure, eliminating duplicates, and ensuring related records are properly linked. Once the data is in the data lake, it becomes vital to enforce fine-grained access controls for the datasets and to maintain a comprehensive audit trail across various analytics and machine learning (ML) platforms over time. As organizations continue to prioritize data-driven strategies, the importance of efficiency and security offered by solutions like AWS Lake Formation grows significantly, making it an essential tool for modern data management. Ultimately, effective data lake management not only enhances operational workflows but also empowers organizations to harness their data for strategic advantages.

What is 1Data?

1Data stands out as a cutting-edge and flexible data management system that enables organizations to effortlessly integrate, analyze, and utilize their data through low-code or no-code methodologies. By breaking down data silos, it supports the ingestion of information from multiple sources via a diverse selection of connectors, which include databases, APIs, files, and messaging systems. Additionally, the platform permits users to establish business rules and workflows that automate their data analysis tasks and trigger various responses. Key components of 1Data include connectors, business rules, workflows, a data dictionary, exception management tools, and metrics tracking capabilities. Users can design both straightforward and complex data flows tailored to their specific goals while monitoring data availability and usage through a detailed data dictionary. The platform also provides features for overseeing, managing, and addressing any exceptions that may occur within the data. Furthermore, 1Data's adaptability allows it to support a broad spectrum of applications, such as ETL processes, data pipelines, the creation of data lakes and warehouses, data standardization, reconciliation, cleansing, and effective data distribution. This extensive range of functionalities positions 1Data as an essential tool for businesses aiming to improve their data management strategies, ultimately leading to more informed decision-making and enhanced operational efficiency. With its innovative approach, 1Data empowers organizations to harness the full potential of their data assets.

Media

Media

Integrations Supported

AWS App Mesh
Amazon Athena
Amazon DataZone
Amazon EMR
Amazon Redshift
Amazon S3
Amazon SageMaker Feature Store
Amazon Web Services (AWS)
BridgeGate
Collate
Ericsson NetCloud Service
Exterro
Flex83
GitLab
Microsoft Azure
ServiceNow
Test Data Manager
Velotix

Integrations Supported

AWS App Mesh
Amazon Athena
Amazon DataZone
Amazon EMR
Amazon Redshift
Amazon S3
Amazon SageMaker Feature Store
Amazon Web Services (AWS)
BridgeGate
Collate
Ericsson NetCloud Service
Exterro
Flex83
GitLab
Microsoft Azure
ServiceNow
Test Data Manager
Velotix

API Availability

Has API

API Availability

Has API

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

Amazon

Date Founded

1994

Company Location

United States

Company Website

aws.amazon.com/lake-formation/

Company Facts

Organization Name

Sincera

Date Founded

2003

Company Location

United States

Company Website

sincera.com/1data/

Categories and Features

Categories and Features

Data Management

Customer Data
Data Analysis
Data Capture
Data Integration
Data Migration
Data Quality Control
Data Security
Information Governance
Master Data Management
Match & Merge

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