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Indexing code at scale with Glean

Engineering at Meta

And as the data produced by indexing can become large, we want to make it available over the network through a query interface rather than having to download it. Therefore: Glean doesnt decide for you what data you can store. The data is ultimately stored using RocksDB , providing good scalability and efficient retrieval.

Coding 77
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Adopting Spark Connect

Towards Data Science

Instead, when a particular client application is launched, the location of its JAR file is passed using an environment variable, and that JAR is downloaded during initialization in entrypoint.sh: #!/bin/bash bin/bash set -eo pipefail # This variable will also be used in the SparkSession builder within # the application code.

Scala 75
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How to Easily Connect Airbyte with Snowflake for Unleashing Data’s Power?

Workfall

Pre-filter and pre-aggregate data at the source level to optimize the data pipeline’s efficiency. Adapt to Changing Data Schemas: Data sources aren’t static; they evolve. Account for potential changes in data schemas and structures. Download Docker Desktop from here as a prerequisite.

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Implementing the Netflix Media Database

Netflix Tech

A schemaless system appears less imposing for application developers that are producing the data, as it (a) spares them from the burden of planning and future-proofing the structure of their data and, (b) enables them to evolve data formats with ease and to their liking. This is depicted in Figure 1.

Media 97
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Streaming Data from the Universe with Apache Kafka

Confluent

The data from these detections are then serialized into Avro binary format. The Avro alert data schemas for ZTF are defined in JSON documents and are published to GitHub for scientists to use when deserializing data upon receipt. Interested in more? Armed with a Ph.D.

Kafka 102
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Automating product deprecation

Engineering at Meta

These playbooks describe how to notify people and give them time to download their data, how to disable the product safely, and when to eventually delete the underlying code and data. The interconnected nature of features within a large product like Facebook makes this a very real possibility. How did we solve this?

Coding 117
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AWS Glue-Unleashing the Power of Serverless ETL Effortlessly

ProjectPro

You can produce code, discover the data schema, and modify it. Smooth Integration with other AWS tools AWS Glue is relatively simple to integrate with data sources and targets like Amazon Kinesis, Amazon Redshift, Amazon S3, and Amazon MSK. Then Redshift can be used as a data warehousing tool for this.

AWS 98