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AI techniques enhance and accelerate exploratory data analytics

Dynatrace

Increasingly, organizations seek to address these problems using AI techniques as part of their exploratory data analytics practices. The next challenge is harnessing additional AI techniques to make exploratory data analytics even easier. Notebooks] is purposely built to focus on data analytics,” Zahrer said. “We

Analytics 215
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What is Greenplum Database? Intro to the Big Data Database

Scalegrid

Greenplum Database is a massively parallel processing (MPP) SQL database that is built and based on PostgreSQL. Greenplum Database is an open-source , hardware-agnostic MPP database for analytics, based on PostgreSQL and developed by Pivotal who was later acquired by VMware. What is an MPP Database?

Big Data 321
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Rebuilding Netflix Video Processing Pipeline with Microservices

The Netflix TechBlog

When Reloaded was designed, we focused on a single use case: converting high-quality media files (also known as mezzanines) received from studios into compressed assets for Netflix streaming. To achieve this, Cosmos was developed as a computing platform for workflow-driven, media-centric microservices. 264, AV1, etc.).

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Designing Instagram

High Scalability

User Feed Service, Media Counter Service) read the actions from the streaming data store and performs their specific tasks. media search index, locations search index, and so forth) in future. We will use a graph database such as Neo4j to store the information. Sample Queries supported by Graph Database. Component Design.

Design 334
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Scalable Annotation Service?—?Marken

The Netflix TechBlog

All data should be also available for offline analytics in Hive/Iceberg. A data model in Marken can be described using schema — just like how we create schemas for database tables etc. Our team, Asset Management Platform, owns a different service that has a json based DSL to describe the schema of a media asset.

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Spice up your Analytics: Amazon QuickSight Now Generally Available in N. Virginia, Oregon, and Ireland.

All Things Distributed

To scale to a larger number of users and support the growth in data volume spurred by social media, web, mobile, IoT, ad-tech, and ecommerce workloads, these tools require customers to invest in even more infrastructure to maintain performance. Getting started with QuickSight is simple. While QuickSight supports multiple graph types (e.g.,

Analytics 152
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Data Reprocessing Pipeline in Asset Management Platform @Netflix

The Netflix TechBlog

By Meenakshi Jindal Overview At Netflix, we built the asset management platform (AMP) as a centralized service to organize, store and discover the digital media assets created during the movie production. Production assets operations are performed in parallel with older data reprocessing without any service downtime.

Media 237