Analytics Database Storage Video 
Dynatrace
SEPTEMBER 8, 2023
In part 2, we’ll show you how to retrieve business data from a database, analyze that data using dashboards and ad hoc queries, and then use a Davis analyzer to predict metric behavior and detect behavioral anomalies. Similar to the tutorial extension, we created an extension that performs queries against databases.
High Scalability
JANUARY 11, 2022
Generating machine learning based personalized recommendations to discover new people, photos, videos, and stories relevant one’s interest. We will use a graph database such as Neo4j to store the information. Additionally, we can use columnar databases like Cassandra to store information like user feeds, activities, and counters.
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The Morning Paper
SEPTEMBER 10, 2019
Procella: unifying serving and analytical data at YouTube Chattopadhyay et al., to understand YouTube video performance) drive tens of thousands of canned (known in advance) queries per second, that need to be served with latency in the tens of milliseconds. VLDB’19. Reporting and dashboarding use cases (e.g.
The Netflix TechBlog
OCTOBER 27, 2020
Data scientists and engineers collect this data from our subscribers and videos, and implement data analytics models to discover customer behaviour with the goal of maximizing user joy. Then the KV DAL handles writing to the appropriate underlying storage engines depending on latency, availability, cost, and durability requirements.
The Netflix TechBlog
OCTOBER 19, 2020
Investigating a video streaming failure consists of inspecting all aspects of a member account. Our distributed tracing infrastructure is grouped into three sections: tracer library instrumentation, stream processing, and storage. Storage: don’t break the bank! which is difficult when troubleshooting distributed systems.
All Things Distributed
AUGUST 18, 2011
Driving down the cost of Big-Data analytics. The Amazon Elastic MapReduce (EMR) team announced today the ability to seamlessly use Amazon EC2 Spot Instances with their service, significantly driving down the cost of data analytics in the cloud. Hadoop is quickly becoming the preferred tool for this type of large scale data analytics.
All Things Distributed
OCTOBER 12, 2016
Fast Data is an emerging industry term for information that is arriving at high volume and incredible rates, faster than traditional databases can manage. While caching continues to be a dominant use of ElastiCache for Redis, we see customers increasingly use it as an in-memory NoSQL database. Building upon Redis.
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