LinkedIn Engineering

OCTOBER 19, 2023

Authors: Bingfeng Xia and Xinyu Liu Background At LinkedIn, Apache Beam plays a pivotal role in stream processing infrastructures that process over 4 trillion events daily through more than 3,000 pipelines across multiple production data centers.

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databricks

JUNE 15, 2023

We are excited to announce the official launch of the Google Pub/Sub connector for the Databricks Lakehouse Platform. This new connector adds to.

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Google Cloud Data Process Process Cloud 104

Cloudera

MARCH 2, 2023

Iceberg is a high-performance open table format for huge analytic data sets. It allows multiple data processing engines, such as Flink, NiFi, Spark, Hive, and Impala to access and analyze data in simple, familiar SQL tables. This enables you to maximize utilization of streaming data at scale. Try it out yourself!

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Process SQL Kafka Database 114

Netflix Tech

AUGUST 1, 2022

Data Mesh?—?A A Data Movement and Processing Platform @ Netflix By Bo Lei , Guilherme Pires , James Shao , Kasturi Chatterjee , Sujay Jain , Vlad Sydorenko Background Realtime processing technologies (A.K.A Last year we wrote a blog post about how Data Mesh helped our Studio team enable data movement use cases.

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Process Transportation Kafka Entertainment 109

Knowledge Hut

JANUARY 18, 2024

“Big data Analytics” is a phrase that was coined to refer to amounts of datasets that are so large traditional data processing software simply can’t manage them. For example, big data is used to pick out trends in economics, and those trends and patterns are used to predict what will happen in the future.

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Data Process Process Hadoop Scala 52

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 ).

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Netflix Tech

NOVEMBER 20, 2023

by Jun He , Yingyi Zhang , and Pawan Dixit Incremental processing is an approach to process new or changed data in workflows. The key advantage is that it only incrementally processes data that are newly added or updated to a dataset, instead of re-processing the complete dataset.

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Process Data Pipeline Datasets SQL 87

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.

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Datasets Bytes Process Data Ingestion 102

Cloudera

JULY 18, 2022

In part 1 of this blog we discussed how Cloudera DataFlow for the Public Cloud (CDF-PC), the universal data distribution service powered by Apache NiFi, can make it easy to acquire data from wherever it originates and move it efficiently to make it available to other applications in a streaming fashion. Data decays!

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Process Kafka Scala SQL 92

Striim

NOVEMBER 17, 2023

Real-time data processing in the world of machine learning allows data scientists and engineers to focus on model development and monitoring. Striim’s strength lies in its capacity to connect to over 150 data sources, enabling real-time data acquisition from virtually any location and simplifying data transformations.

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Machine Learning Data Process PostgreSQL Process 52

Towards Data Science

APRIL 30, 2024

Balancing correctness, latency, and cost in unbounded data processing Image created by the author. Intro Google Dataflow is a fully managed data processing service that provides serverless unified stream and batch data processing. Apache Beam lets users define processing logic based on the Dataflow model.

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ProjectPro

FEBRUARY 16, 2023

At the core of such applications lies the science of machine learning, image processing, computer vision, and deep learning. As an example, consider the Facial Image Recognition System, it leverages the OpenCV Python library for implementing image processing techniques. What is OpenCV Python?

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Python Process Deep Learning Algorithm 98

Waitingforcode

FEBRUARY 16, 2023

I like writing code and each time there is a data processing job to write with some business logic I'm very happy. Mack library, the topic of this blog post, is one of those projects discovered recently. However, with time I've learned to appreciate the Open Source contributions enhancing my daily work.

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Coding Data Process Project Process 130

Waitingforcode

FEBRUARY 3, 2023

However, it's not the single Python-based framework for distributed data processing and people talk more and more often about the alternatives like Dask or Ray. Since both are completely new for me, I'm going to use this blog post to shed some light on them, and why not plan a deeper exploration next year?

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Python Data Process Process IT 130

Team Data Science

MAY 10, 2020

For A Quick Recap You can find the first blog post here, where I learned which tech is most in demand in Toronto: [link] And the second blog post is here where I learn which Toronto industries need data engineers the most: [link] The Pipeline Proposal I'll be creating several pipelines in this project, but first things first; I need to ingest the data, (..)

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Data Pipeline Data Ingestion AWS Kafka 130

Cloudera

FEBRUARY 8, 2021

This is part 2 in this blog series. You can read part 1, here: Digital Transformation is a Data Journey From Edge to Insight. The first blog introduced a mock connected vehicle manufacturing company, The Electric Car Company (ECC), to illustrate the manufacturing data path through the data lifecycle.

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Data Pipeline Building Manufacturing Data Warehouse 119

Data Engineering Weekly

JUNE 24, 2024

link] Netflix: A Recap of the Data Engineering Open Forum at Netflix Netflix publishes a recap of all the talks in the first Data Engineering open forum tech meetups. The blog contains a summary of each talk and a link to the YouTube channel with all the talks. Are there enough usecases?

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Data Engineering Data Engineer Engineering Google Cloud 109

Christophe Blefari

APRIL 19, 2024

This is super interesting because it details important steps of the generative process. This blog shows how you can use Gen AI to evaluate inputs like translations with added reasons. How we build Slack AI to be secure and private — How Slack uses VPC and Amazon SageMaker with your data secured and private.

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MySQL Data Datasets SQL 130

Cloudera

AUGUST 2, 2021

If you’re asking yourself, “Isn’t Storm for complex event processing and NiFi for simple event processing?”, A few customers chose a complex event engine like Apache Storm for their simple event processing, even when Apache NiFi is the more practical choice, cutting drastically down on SDLC (software development lifecycle) time.

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Kafka Java Coding Process 119

Cloudera

OCTOBER 1, 2020

Now, these companies are required to adhere to the principles of GDPR in order to legally transfer data to the US and process it. Which brings me to the third contributing factor, there is currently significant uncertainty around post-Brexit data regulation and the UK’s data-adequacy status.

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Data Science Blog: Data Engineering

NOVEMBER 15, 2023

In addition to Business Intelligence (BI), Process Mining is no longer a new phenomenon, but almost all larger companies are conducting this data-driven process analysis in their organization. This aspect can be applied well to Process Mining, hand in hand with BI and AI.

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Architecture Database-centric Process BI 52

Data Engineering Weekly

MAY 16, 2023

In the second part, we will focus on architectural patterns to implement data quality from a data contract perspective. Why is Data Quality Expensive? I won’t bore you with the importance of data quality in the blog. Let’s talk about the data processing types.

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Cloudera

MARCH 11, 2021

Data flows are an integral part of every modern enterprise. At Cloudera, we’re helping our customers implement data flows on-premises and in the public cloud using Apache NiFi , a core component of Cloudera DataFlow. In this blog post, I want to share the top three requirements for data flows in 2021 that we hear from our customers.

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Cloud Data Data Warehouse Data Integration 119

Data Engineering Weekly

JULY 14, 2024

[link] Discord: How Discord Uses Open-Source Tools for Scalable Data Orchestration & Transformation Discord writes about its migration journey from a homegrown orchestration engine to Dagster. Streaming execution to process a small chunk of data at a time. Intermediate spilling to disk while computing aggregations.

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Data Engineering Data Engineer Engineering Unstructured Data 98

Jesse Anderson

DECEMBER 25, 2024

The conversation also explores the future of data processing with DuckDB and MotherDuck, highlighting the potential of single-node databases and the shift towards smaller, more efficient data solutions. Lastly, she has shared her perspectives on leadership, mentorship, and creating a more inclusive tech industry.

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Google Cloud Cloud Database Data Solutions 130

Netflix Tech

MARCH 10, 2023

Hence we built the data pipeline that can be used to extract the existing assets metadata and process it specifically to each new use case. Elasticsearch version upgrade which includes backward incompatible changes, so all the assets data is read from the primary source of truth and reindexed again in the new indices.

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Management Kafka Metadata Media 97

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. import pandas as pd import PIL.

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Medical Process Cloud Bytes 60

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? Let’s dive in!

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Data Engineering Data Engineer Engineering Metadata 108

Pinterest Engineering

NOVEMBER 28, 2023

Pinterest’s real-time metrics asynchronous data processing pipeline, powering Pinterest’s time series database Goku, stood at the crossroads of opportunity. The mission was clear: identify bottlenecks, innovate relentlessly, and propel our real-time analytics processing capabilities into an era of unparalleled efficiency.

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Kafka Bytes Architecture Software Engineer 99

Netflix Tech

NOVEMBER 14, 2023

By Abhinaya Shetty , Bharath Mummadisetty This blog post will cover how Psyberg helps automate the end-to-end catchup of different pipelines, including dimension tables. In the previous installments of this series, we introduced Psyberg and delved into its core operational modes: Stateless and Stateful Data Processing.

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Metadata Data Pipeline Scala Data Workflow 101

Cloudera

JUNE 2, 2021

At Cloudera, we recently introduced several cutting-edge innovations in our Cloudera Data Engineering experience (CDE) as part of our Enterprise Data Cloud product — Cloudera Data Platform (CDP) — to serve the growing demands. Integration with ISV solutions via CDE APIs (latest partner integration blog here.

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Data Pipeline Data Warehouse Machine Learning Data Architect 93

Cloudyard

SEPTEMBER 2, 2024

This capability enables advanced analytics, custom data processing, and seamless integration of Python libraries. In this blog post, we’ll explore how to create and utilize a.Py One particularly powerful feature is the ability to import and use Python files (.py) file inside a Snowflake Python stored procedure.

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Python Utilities Coding Data Engineering 97

Cloudera

AUGUST 16, 2021

CDF-PC enables Apache NiFi users to run their existing data flows on a managed, auto-scaling platform with a streamlined way to deploy NiFi data flows and a central monitoring dashboard making it easier than ever before to operate NiFi data flows at scale in the public cloud. The need for a cloud-native Apache NiFi service.

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Cloud Unstructured Data Utilities Metadata 122

DoorDash Engineering

APRIL 26, 2023

The company is exploring the use of Generative AI, a subset of Artificial Intelligence that generates novel content based on existing data, and how it can be implemented effectively with consideration for the privacy and security of personal information. These suggestions save time for customers and can simplify the ordering process.

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Food Unstructured Data Deep Learning SQL 98

Knowledge Hut

APRIL 25, 2024

It is especially true in the world of big data. If you want to stay ahead of the curve, you need to be aware of the top big data technologies that will be popular in 2024. In this blog post, we will discuss such technologies. Big data is a term that refers to the massive volume of data that organizations generate every day.

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Big Data Technology Hadoop NoSQL 98

DataKitchen

APRIL 13, 2021

Read the complete blog below for a more detailed description of the vendors and their capabilities. This is not surprising given that DataOps enables enterprise data teams to generate significant business value from their data. Testing and Data Observability. Process Analytics. Process Analytics.

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Consulting Machine Learning Data Science Data Pipeline 124

Cloudera

JANUARY 20, 2021

The missing chapter is not about point solutions or the maturity journey of use cases, the missing chapter is about the data, it’s always been about the data, and most importantly the journey data weaves from edge to artificial intelligence insight. . Data Collection Challenge.

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