Remove Data Process Remove Events Remove Metadata Remove Unstructured Data
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How to get powerful and actionable insights from any and all of your data, without delay

Cloudera

By enabling their event analysts to monitor and analyze events in real time, as well as directly in their data visualization tool, and also rate and give feedback to the system interactively, they increased their data to insight productivity by a factor of 10. . All forms of data!

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Data Lake Explained: A Comprehensive Guide to Its Architecture and Use Cases

AltexSoft

Instead of relying on traditional hierarchical structures and predefined schemas, as in the case of data warehouses, a data lake utilizes a flat architecture. This structure is made efficient by data engineering practices that include object storage. Watch our video explaining how data engineering works.

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Discover and Explore Data Faster with the CDP DDE Template

Cloudera

DDE also makes it much easier for application developers or data workers to self-service and get started with building insight applications or exploration services based on text or other unstructured data (i.e. data best served through Apache Solr). Coordinates distribution of data and metadata, also known as shards.

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10+ AWS Project Ideas of 2023 with Source Code [All Levels]

Knowledge Hut

You can use AWS SES (Simple Email Service) to send emails and AWS SNS (Simple Notification Service) to trigger the email-sending process. Once you upload a CSV file to S3, an S3 event is triggered. After the file is imported, the process of mass emailing begins. Amazon Lambda is closely linked to the S3 service in this project.

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AWS Glue-Unleashing the Power of Serverless ETL Effortlessly

ProjectPro

AWS Glue is a widely-used serverless data integration service that uses automated extract, transform, and load ( ETL ) methods to prepare data for analysis. It offers a simple and efficient solution for data processing in organizations. Then, Glue writes the job's metadata into the embedded AWS Glue Data Catalog.

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Cloudera DataFlow for the Public Cloud: A technical deep dive

Cloudera

Hundreds of built-in processors make it easy to connect to any application and transform data structures or data formats as needed. Since it supports both structured and unstructured data for streaming and batch integrations, Apache NiFi is quickly becoming a core component of modern data pipelines. and later).

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ELT Process: Key Components, Benefits, and Tools to Build ELT Pipelines

AltexSoft

ELT makes it easier to manage and access all this information by allowing both raw and cleaned data to be loaded and stored for further analysis. With the ETL shift from a traditional on-premise variant to a cloud solution, you can also use it to work with different data sources and move a lot of data. Incremental extraction.

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