Maxime Beauchemin

JANUARY 7, 2018

Batch data processing  — historically known as ETL —  is extremely challenging. In this post, we’ll explore how applying the functional programming paradigm to data engineering can bring a lot of clarity to the process. The greater the claim made using analytics, the greater the scrutiny on the process should be.

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Data Engineering Data Engineer Data Process Process 183

databricks

MARCH 4, 2024

StreamNative, a leading Apache Pulsar-based real-time data platform solutions provider, and Databricks, the Data Intelligence Platform, are thrilled to announce the enhanced Pulsar-Spark.

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Data Process Process Data 115

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

DoorDash Engineering

NOVEMBER 21, 2022

Subscribe for weekly updates The solution to real-time processing of inventory changes The simplest approach to propagating inventory level changes in the database to the rest of the system may have been to invoke the service code to take actions every time something that affects the inventory table is called.

Data Process 57

Data Process Process Kafka Database 57

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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Process Lambda Architecture Kafka Machine Learning 119

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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Google Cloud Process Cloud Lambda Architecture 60

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 106

ProjectPro

JANUARY 25, 2022

Here’s What You Need to Know About PySpark This blog will take you through the basics of PySpark, the PySpark architecture, and a few popular PySpark libraries , among other things. Finally, you'll find a list of PySpark projects to help you gain hands-on experience and land an ideal job in Data Science or Big Data.

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Big Data Data Process Process Kafka 52

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 112

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 86

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

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

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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Process Lambda Architecture Kafka Datasets 97

DataKitchen

DECEMBER 9, 2022

ChatGPT> DataOps, or data operations, is a set of practices and technologies that organizations use to improve the speed, quality, and reliability of their data analytics processes. The goal of DataOps is to help organizations make better use of their data to drive business decisions and improve outcomes.

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Machine Learning Data Preparation Government Data Analytics 52

Analytics Vidhya

FEBRUARY 28, 2023

A collaborative and interactive workspace allows users to perform big data processing and machine learning tasks easily. In this blog post, we will take a closer look at Azure Databricks, its key features, […] The post Azure Databricks: A Comprehensive Guide appeared first on Analytics Vidhya.

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Big Data Machine Learning Cloud Data Process 310

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

SEPTEMBER 11, 2018

The open data processing pipeline. IoT is expected to generate a volume and variety of data greatly exceeding what is being experienced today, requiring modernization of information infrastructure to realize value. The Enterprise Data Hub. Telemetry data routed to the Cloudera Enterprise Data Hub flows into Apache Kafka.

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Data Process Process Building Machine Learning 40

Databand.ai

JULY 19, 2023

Complete Guide to Data Ingestion: Types, Process, and Best Practices Helen Soloveichik July 19, 2023 What Is Data Ingestion? Data Ingestion is the process of obtaining, importing, and processing data for later use or storage in a database.

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Data Ingestion Process Data Cleanse Data Governance 52

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 89

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

Data Engineering Weekly

NOVEMBER 11, 2024

Slack provides an excellent overview of this process. The blog outlines two main approaches for building these models: the Unified Embedding Decoder Architecture and the Cross-Modality Attention Architecture. The blog narrates how LinkedIn achieved Close the gap between allocated and utilized executor memory.

Data Engineering 57

Data Engineering Data Engineer Engineering Datasets 57

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

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

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

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.

Data Engineering 98

Data Engineering Data Engineer Engineering Unstructured Data 98

Cloudera

JANUARY 19, 2018

Before we get too far into 2018, let’s take a look at the ten most popular Cloudera VISION blogs from 2017. From its origins in the 1950’s to today, the age of big data. Sean ascertains that larger data sets and increased access to compute power is propelling the adoption of machine learning. This blog has everything!

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Machine Learning Insurance Data Science Big Data 45

Striim

OCTOBER 18, 2024

Striim, a leading platform for real-time data integration and streaming analytics, offers multi-node deployments that significantly enhance redundancy while delivering enterprise-grade capabilities for mission-critical workloads. Striim’s multi-node deployment increases redundancy by replicating workloads and data across several nodes.

Architecture 52

Architecture Cloud Data Integration Systems 52

Data Engineering Weekly

OCTOBER 27, 2024

Astasia Myers: The three components of the unstructured data stack LLMs and vector databases significantly improved the ability to process and understand unstructured data. The blog is an excellent summary of the existing unstructured data landscape. link] Alibaba: Evolution of Flink 2.0

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Data Engineering Data Engineer Engineering Unstructured Data 57

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 96

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

Data Engineering Weekly

AUGUST 4, 2024

[link] Jason Liu & Eugene Yan: 10 Ways to Be Data Illiterate (and How to Avoid Them) If you ask any executives in an organization, they will say they are data-driven. Thus, the data team has more responsibility than just ingesting and building the data pipeline. It is often an expression of desire rather than reality.

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Data Engineering Data Engineer Engineering Data 80

Data Engineering Weekly

OCTOBER 20, 2024

[link] Zach Wilson: How GenAI will impact data engineering An excellent overview of the potential impact of GenAI in data engineering workflow that can change the pipeline authoring, shipping pipeline, and maintaining the pipeline. There are tons of optimizations we can do to improve the efficiency.

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Data Engineering Data Engineer Engineering Manufacturing 52

Pinterest Engineering

OCTOBER 11, 2024

In Part 2 of our blog series, we described how we were able to integrate Ray(™) into our existing ML infrastructure. In this blog post, we will discuss a second type of popular application of Ray(™) at Pinterest: offline batch inference of ML models. Ray Data is not bound to any specific ML library.

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Datasets Metadata Software Engineer Software Engineering 63

Data Science Blog: Data Engineering

AUGUST 22, 2024

This principle highlights the need for careful data preparation, ensuring that the input data is accurate, consistent, and relevant. Emerging Trends in Data Preparation Automated Data Cleaning Manual data cleaning is both time-consuming and error-prone. Investing in your data can only lead to positive results.

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Data Preparation Transportation High Quality Data Data Science 52

Pinterest Engineering

OCTOBER 23, 2024

Yongjun Zhang; Staff Software Engineer | William Tom; Staff Software Engineer | Sandeep Kumar; Software Engineer | Monarch, Pinterest’s Batch Processing Platform, was initially designed to support Pinterest’s ever-growing number of Apache Spark and MapReduce workloads at scale. This minor version upgrade process took approximately one year.

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AWS Hadoop Management Algorithm 52

Data Engineering Weekly

SEPTEMBER 29, 2024

[link] Presto: Query Optimization with Historical-Based Optimization Framework in Presto The recent Presto technical blog goes one step further on query analytics, using it to optimize queries with Historical-Based optimization frameworks. Unix pipes typically represent a physical flow of data between processes.

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Data Engineering Data Engineer Engineering SQL 62