AWS Lake Formation
AWS Lake Formation is database software, which can process and manage big data. The software enables users to create data catalogues to categorically store data and define respective security parameters for each set. The software is automated and eliminates manual configuration. The automated tools allow users to find the exact data sets and align them with the appropriate machine-learning tools & analytical programs. Data categorization and consistent security imposition provide data scientists and analysts to use their preferred tools & services.
Top AWS Lake Formation Alternatives
- TradingView
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Top AWS Lake Formation Alternatives and Overview
TradingView
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Hitwise
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MonsterInsights
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SAP Lumira
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Hadoop HDFS
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Splunk Enterprise
It allows the clients to automate the process of collection of data from various sources...
ObservePoint
It standardizes all your data aggregations and delivers you only accurate details...
1010data
It helps businesses deliver actionable insights quickly based on their enterprise data...
AWS Lake Formation Review and Overview
AWS Lake Formation allows users to build a data lake conveniently and rapidly. A data lake is a repository of data in both original and analytical forms. Data lakes are typically secure, curated, and centralized. Data lakes have emerged as a promising concept over the last few years due to their ability to divide data silos and blend various analytical tools to extract valuable insights and directly improved business decisions.
Cataloguing Data
Set up and management of data lakes is a complicated and time-consuming process, which involves several steps of complex manual tasks. AWS Lake Formation simplifies the set-up process with its advanced automated tools. Users have to define data sources and required security policies, and the rest is taken care of by the software. AWS Lake Formation enables users to collect and categorize data as well as secure access policies, using machine-learning algorithms. Also, the software provides the option for a centralized catalogue for data sets. Users can leverage the data with appropriate machine learning services and analytics.
Quick Organization Features
AWS Lake Formation enables users to store, catalogue, move and delete data or data sets - faster than ever before. Point & move features allow a user-friendly interface to modify data between Lake Formation sources and Amazon S3 Data Lake. The software can organize data in sizeable chunks around recurrent queries in S3 module to augment efficiency. The software contains built-in intelligence to identify matching records and deduplicate them, thereby enhancing the qualitative quotient. Moreover, Lake Formation can modify data formats, including ORC and Apache Parquet, to speed-up analytics.
Security Management
For a non-centralized data lake, users have to define security protocols per service and consequently enforce them across analytical applications. Since AWS Lake Formation is typically centralized, it is convenient to define security parameters—including access control, auditing policies, and governance—from one console. The automation eliminates the need for manual configurations across security platforms, such as AWS Key Management Service and AWS Identity and Access Management. The feature offers consistent compliance and security enforcement across data sets.
Company Information
Company Name: AWS
Founded in: 2006