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Streaming Big Data Files from Cloud Storage

Towards Data Science

This continues a series of posts on the topic of efficient ingestion of data from the cloud (e.g., Before we get started, let’s be clear…when using cloud storage, it is usually not recommended to work with files that are particularly large. here , here , and here ). CPU cores and TCP connections).

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Byte Down: Making Netflix’s Data Infrastructure Cost-Effective

Netflix Tech

By Torio Risianto, Bhargavi Reddy, Tanvi Sahni, Andrew Park Continue reading on Netflix TechBlog ».

Bytes 97
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A Definitive Guide to Using BigQuery Efficiently

Towards Data Science

BigQuery basics and understanding costs ∘ Storage ∘ Compute · ? Like a dragon guarding its treasure, each byte stored and each query executed demands its share of gold coins. Join as we journey through the depths of cost optimization, where every byte is a precious coin. Photo by Konstantin Evdokimov on Unsplash ?

Bytes 97
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Netflix Cloud Packaging in the Terabyte Era

Netflix Tech

From chunk encoding to assembly and packaging, the result of each previous processing step must be uploaded to cloud storage and then downloaded by the next processing step. Since not all projects are terabytes projects, allocating the largest cloud storage to all packager instances is not an efficient use of cloud resources.

Cloud 96
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Modern Data Engineering: Free Spark to Snowpark Migration Accelerator for Faster, Cheaper Pipelines in Snowflake

Snowflake

Ingestion Pipelines : Handling data from cloud storage and dealing with different formats can be efficiently managed with the accelerator. Batch Processing Pipelines : Large volumes of data can be processed on schedule using the tool. This is ideal for tasks such as data aggregation, reporting or batch predictions.

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Deploying Kafka Streams and KSQL with Gradle – Part 2: Managing KSQL Implementations

Confluent

Of course, a local Maven repository is not fit for real environments, but Gradle supports all major Maven repository servers, as well as AWS S3 and Google Cloud Storage as Maven artifact repositories. zip Zip file size: 3593 bytes, number of entries: 9 drwxr-xr-x 2.0 6 objects dropped. 6 objects created. m2 directory.

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Netflix Drive

Netflix Tech

Data Store Characteristics Netflix Drive relies on a data store that allows streaming bytes into files/objects persisted on the storage media. The transfer mechanism for transport of bytes is a function of the data store. The data store should expose APIs that allow Netflix Drive to perform I/O operations.