LinkedIn Engineering

JUNE 15, 2023

However, we found that many of our workloads were bottlenecked by reading multiple terabytes of input data. To remove this bottleneck, we built AvroTensorDataset , a TensorFlow dataset for reading, parsing, and processing Avro data. If greater than one, records in files are processed in parallel.

Datasets 102

Datasets Bytes Process Data Ingestion 102

Netflix Tech

NOVEMBER 14, 2023

In this context, managing the data, especially when it arrives late, can present a substantial challenge! In this three-part blog post series, we introduce you to Psyberg , our incremental data processing framework designed to tackle such challenges! What is late-arriving data? How does late-arriving data impact us?

Data Engineering 105

Data Engineering Data Engineer Engineering Metadata 105

LinkedIn Engineering

MARCH 23, 2023

Co-Authors: Yuhong Cheng , Shangjin Zhang , Xinyu Liu, and Yi Pan Efficient data processing is crucial in reducing learning curves, simplifying maintenance efforts, and decreasing operational complexity. By unifying these pipelines, we have saved 94% of processing time. Samza , Spark and Apache Flink ).

Process 97

Process Lambda Architecture Kafka Datasets 97

Netflix Tech

NOVEMBER 14, 2023

In the previous installments of this series, we introduced Psyberg and delved into its core operational modes: Stateless and Stateful Data Processing. Pipelines After Psyberg Let’s explore how different modes of Psyberg could help with a multistep data pipeline. Audit Run various quality checks on the staged data.

Metadata 97

Metadata Data Pipeline Scala Data Workflow 97

Monte Carlo

MAY 14, 2024

At its core, a table format is a sophisticated metadata layer that defines, organizes, and interprets multiple underlying data files. Table formats incorporate aspects like columns, rows, data types, and relationships, but can also include information about the structure of the data itself.

Data Lake 52

Data Lake Metadata Hadoop Data Governance 52

Netflix Tech

MARCH 10, 2023

This platform has evolved from supporting studio applications to data science applications, machine-learning applications to discover the assets metadata, and build various data facts. During this evolution, quite often we receive requests to update the existing assets metadata or add new metadata for the new features added.

Management 94

Management Kafka Metadata Media 94

Netflix Tech

DECEMBER 14, 2023

Engineers from across the company came together to share best practices on everything from Data Processing Patterns to Building Reliable Data Pipelines. The result was a series of talks which we are now sharing with the rest of the Data Engineering community!

Data Engineering 103

Data Engineering Data Engineer Engineering Metadata 103

Snowflake

JANUARY 23, 2024

Behind the scenes, Snowpark ML parallelizes data processing operations by taking advantage of Snowflake’s scalable computing platform. For Snowpark ML Operations, the Snowpark Model Registry allows customers to securely manage and execute models in Snowflake, regardless of origin.

Machine Learning 120

Machine Learning Metadata Python Telecommunication 120

Snowflake

JULY 10, 2023

Announced at Summit, we’ve recently added to Snowpark the ability to process files programmatically, with Python in public preview and Java generally available. Data engineers and data scientists can take advantage of Snowflake’s fast engine with secure access to open source libraries for processing images, video, audio, and more.

Unstructured Data 40

Unstructured Data Python Process Scala 40

Snowflake

NOVEMBER 29, 2023

For example, the data storage systems and processing pipelines that capture information from genomic sequencing instruments are very different from those that capture the clinical characteristics of a patient from a site. Alation, Collibra) to some niche ones Allows easy ingestion of metadata (such as genomics metadata in Fig.

Metadata 84

Metadata Healthcare Medical Data Storage 84

Rockset

MARCH 18, 2024

Flink is one of the most popular stream processing technologies, ranked as a top five Apache project and backed by a diverse committer community including Alibaba and Apple. It powers steam processing at many companies including Uber, Netflix, and Linkedin.

Cloud 64

Cloud Building Metadata Kafka 64

Ascend.io

APRIL 22, 2024

This initiative is more than just an upgrade; it’s a reimagining of what a Data Automation Platform can be: dynamic, extensible, and highly intelligent. A unified platform that combines a powerful metadata core, an extensible plugin architecture, DataAware automation, and multiple AI Assistants.

Project 52

Project Metadata Data Pipeline Data Engineering 52

Tweag

APRIL 19, 2023

To allow innovation in medical imaging with AI, we need efficient and affordable ways to store and process these WSIs at scale. Marini et al This results in a very large amount of data for a single slide, often a few gigabytes per slide, which is all stored in one big file. data import torch. _slides_specs. y ) , level = spec.

Medical 60

Medical Process Cloud Bytes 60

RandomTrees

APRIL 18, 2024

In this article, we’ll explore the process of converting Informatica code to Talend code using the power of Python scripting. Understanding the Challenge Informatica PowerCenter has long been a favoured tool for Extract, Transform, Load (ETL) processes , offering a robust graphical interface for designing workflows and transformations.

Coding 52

Coding Metadata Retail Python 52

Netflix Tech

DECEMBER 3, 2022

Obviously not all tools are made with the same use case in mind, so we are planning to add more code samples for other (than classical batch ETL) data processing purposes, e.g. Machine Learning model building and scoring. The main workflow definition file holds the logic of a single run, in this case one day-worth of data.

Data Pipeline 143

Data Pipeline Scala Metadata Food 143

Marc Lamberti

SEPTEMBER 22, 2023

That cake doesn’t get magicked into existence; it involves a process – a step-by-step recipe you carefully need to follow; otherwise, you will get something different. Airflow stores metadata in it (DAG runs, XComs, Task instances, etc. What is an orchestrator? The analogy! Let’s say you want to make tasty chocolate cake.

Data Pipeline 130

Data Pipeline Python Metadata Database 130

Knowledge Hut

MARCH 7, 2024

The year 2024 saw some enthralling changes in volume and variety of data across businesses worldwide. The surge in data generation is only going to continue. Foresighted enterprises are the ones who will be able to leverage this data for maximum profitability through data processing and handling techniques.

Big Data 98

Big Data Bytes Data Governance Raw Data 98

Databand.ai

AUGUST 30, 2023

Data quality monitoring refers to the assessment, measurement, and management of an organization’s data in terms of accuracy, consistency, and reliability. It utilizes various techniques to identify and resolve data quality issues, ensuring that high-quality data is used for business processes and decision-making.

Data Cleanse 52

Data Cleanse Metadata High Quality Data Datasets 52

Data Engineering Weekly

DECEMBER 10, 2023

[link] Netflix: Diving Deeper into Psyberg: Stateless vs Stateful Data Processing Netflix wrote a deep-dive article about Psyberg’s incremental data processing pipeline framework. The blog discusses Psyberg’s two operational models, stateless & stateful data processing.

Data Engineering 76

Data Engineering Data Engineer Engineering Metadata 76

Striim

FEBRUARY 5, 2024

Data Fabric is a comprehensive data management approach that goes beyond traditional methods , offering a framework for seamless integration across diverse sources. By upholding data quality, organizations can trust the information they rely on for decision-making, fostering a data-driven culture built on dependable insights.

Pharmaceutical 52

Pharmaceutical Data Cleanse Metadata Medical 52

Data Science Blog: Data Engineering

MAY 20, 2024

CI/CD, a set of processes that help software development teams deliver code changes more frequently and reliably, is part of DevOps. As changes are made, there are automated build processes for detecting code issues. Data professionals save time spent on data processing transformation. Mixed approach of DV 2.0

Data Pipeline 52

Data Pipeline BI Data Lake Data Warehouse 52

Towards Data Science

NOVEMBER 4, 2023

The data engineering landscape is constantly changing but major trends seem to remain the same. How to Become a Data Engineer As a data engineer, I am tasked to design efficient data processes almost every day. It was created by Spotify to manage massive data processing workloads.

Data Engineering 82

Data Engineering Data Engineer Engineering BI 82

Data Engineering Podcast

AUGUST 28, 2022

Atlan is the metadata hub for your data ecosystem. Instead of locking your metadata into a new silo, unleash its transformative potential with Atlan’s active metadata capabilities. RudderStack helps you build a customer data platform on your warehouse or data lake.

Data Engineering 100

Data Engineering Data Engineer MongoDB Metadata 100

Cloudera

APRIL 1, 2024

We scored the highest in hybrid, intercloud, and multi-cloud capabilities because we are the only vendor in the market with a true hybrid data platform that can run on any cloud including private cloud to deliver a seamless, unified experience for all data, wherever it lies. Increased confidence in data results in trusted AI.

Cloud 104

Cloud Unstructured Data Metadata Datasets 104

RandomTrees

FEBRUARY 6, 2024

Modernization in Data Engineering with GenAI Generation: The Art of Data Creation: Generative AI has emerged as a potent tool for creating synthetic datasets. Generative AI corrects data imbalances, ensuring fair sentiment analysis on e-commerce platforms, enriches training data for natural language processing (NLP) tasks.

Data Engineering 52

Data Engineering Data Engineer Engineering Data Lake 52

AltexSoft

DECEMBER 23, 2022

Integrating data from numerous, disjointed sources and processing it to provide context provides both opportunities and challenges. One of the ways to overcome challenges and gain more opportunities in terms of data integration is to build an ELT (Extract, Load, Transform) pipeline. Order of process phases. What is ELT?

Process 52

Process Building Raw Data Data Lake 52

Data Engineering Weekly

MAY 16, 2023

It involves thorough checks and balances, including data validation, error detection, and possibly manual review. The bias toward correctness will increase the processing time, which may not be feasible when speed is a priority. Let’s talk about the data processing types.

Engineering 110

Engineering Kafka Data Pipeline Data Warehouse 110

ProjectPro

FEBRUARY 8, 2023

In 2023, more than 5140 businesses worldwide have started using AWS Glue as a big data tool. For e.g., Finaccel, a leading tech company in Indonesia, leverages AWS Glue to easily load, process, and transform their enterprise data for further processing. AWS Glue automates several processes as well.

AWS 98

AWS Scala Metadata Data Lake 98

Cloudera

JULY 19, 2023

It is a replicated, highly-available service that is responsible for managing the metadata for all objects stored in Ozone. As Ozone scales to exabytes of data, it is important to ensure that Ozone Manager can perform at scale. The tool reads only the metadata for objects in a cluster with around 100 million keys.

Management 70

Management Metadata Datasets Architecture 70

Snowflake

NOVEMBER 1, 2023

Snowflake has invested heavily in extending the Data Cloud to AI/ML workloads, starting in 2021 with the introduction of Snowpark , the set of libraries and runtimes in Snowflake that securely deploy and process Python and other popular programming languages.

Building 105

Building Python SQL Programming Language 105

LinkedIn Engineering

JULY 19, 2023

Open source data lakehouse deployments are built on the foundations of compute engines (like Apache Spark, Trino, Apache Flink), distributed storage (HDFS, cloud blob stores), and metadata catalogs / table formats (like Apache Iceberg, Delta, Hudi, Apache Hive Metastore). Tables are governed as per agreed upon company standards.

Big Data 78

Big Data Data Management Management Metadata 78

Ascend.io

APRIL 19, 2023

The “modern data stack” has become increasingly prominent in recent years, promising a streamlined approach to data processing. Intelligent pipelines : Reducing dependencies and enabling more efficient data processing, intelligent pipelines allow teams to focus on what truly matters: creating impactful data products.

Metadata 52

Metadata Business Analyst Hadoop Software Engineer 52

Cloudyard

APRIL 4, 2024

However, the volume of daily transaction data poses challenges in effectively segmenting customers and optimizing engagement. This blog post explores how Snowpark, a powerful tool for data processing within Snowflake, can be used to perform RFM segmentation and unlock actionable customer insights.

Retail 40

Retail Data Ingestion Metadata Datasets 40

Databand.ai

JULY 19, 2023

Ensuring data quality and accuracy: Data lineage tools help ensure data quality and accuracy by providing a detailed view of the data’s journey. This allows businesses to identify any transformations or processes that may be compromising the data’s integrity.

Pipeline-centric 52

Pipeline-centric Data Governance Metadata Government 52

The Modern Data Company

APRIL 15, 2024

The Role of a Data Model Explained Think of a data model as the ultimate organizer in the vast library of your company’s data. Its job, from its position near the end of the data processing line, is similar to that of a librarian who: Answers queries from various departments looking for specific insights.

Government 52

Government Metadata Data Data Lake 52

Cloudera

DECEMBER 15, 2022

Compute engines in these CDP data services can access and process data sets in the Iceberg tables concurrently, with shared security and governance provided by our unique Cloudera Shared Data Experience ( SDX ). Only metadata will be regenerated. Data quality using table rollback. Metadata management .

Cloud 78

Cloud Metadata Google Cloud Data Warehouse 78

Engineering at Meta

NOVEMBER 8, 2023

Having carefully built this feature to minimize attack surface and external data processing, we are able to help protect users from not only unwanted contact, but also cyber attacks and spyware. Furthermore, calling software often automatically processes incoming packets from callers to optimize call setup and improve performance.

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Metadata Process Designing Data Process 127