Waitingforcode

APRIL 24, 2024

As a data engineer you're certainly familiar with data skew. Turns out, stream processing also has its skew but more related to time. Yes, this bad phenomena where one task takes considerably more input than the others and often causes unexpected latency or failures.

Process 130

Process Data Engineering Data Engineer Engineering 130

Data Engineering Podcast

JUNE 9, 2024

Summary Streaming data processing enables new categories of data products and analytics. Unfortunately, reasoning about stream processing engines is complex and lacks sufficient tooling. Data lakes are notoriously complex. How have the requirements of generative AI shifted the demand for streaming data systems?

Process 147

Process Data Lake High Quality Data Machine Learning 147

Seattle Data Guy

MARCH 1, 2024

Real-time data can help you do just that. Real-time data processing can satisfy the ever-increasing demand for… Read more The post 5 Real-Time Data Processing and Analytics Technologies – And Where You Can Implement Them appeared first on Seattle Data Guy.

Data Process 130

Data Process Technology Process Data 130

Seattle Data Guy

MARCH 11, 2024

Everything from its various nodes and processes that each have unique… Read more The post Apache Druid’s Architecture – How Druid Processes Data In Real Time At Scale appeared first on Seattle Data Guy. Apache Druid has several unique features that allow it to be used as a real-time OLAP.

Architecture 147

Architecture Process Data IT 147

Data Engineering Podcast

JANUARY 7, 2024

Summary Data processing technologies have dramatically improved in their sophistication and raw throughput. Unfortunately, the volumes of data that are being generated continue to double, requiring further advancements in the platform capabilities to keep up. Want to see Starburst in action?

Data Process 147

Data Process Process Data Lake High Quality Data 147

Pinterest Engineering

SEPTEMBER 12, 2023

Behind the scenes, hundreds of ML engineers iteratively improve a wide range of recommendation engines that power Pinterest, processing petabytes of data and training thousands of models using hundreds of GPUs. In some cases, petabytes of data are streamed into training jobs to train a model.

Data Process 102

Data Process Process Datasets Software Engineer 102

Precisely

SEPTEMBER 25, 2023

77% of data and analytics professionals say data-driven decision-making is the top goal for their data programs. Data-driven decision-making and initiatives are certainly in demand, but their success hinges on … well, the data that supports them. More specifically, the quality and integrity of that data.

Data Validation 100

Data Validation Process Raw Data Data Cleanse 100

Waitingforcode

FEBRUARY 3, 2023

Setting a data processing layer up has several phases. You need to write the job, define the infrastructure, CI/CD pipeline, integrate with the data orchestration layer, and finally, ensure the job can access the relevant datasets. Let's see!

Data Process 100

Data Process Process Cloud Datasets 100

KDnuggets

SEPTEMBER 24, 2024

Healthcare generates a vast amount of unstructured data, including clinical notes, patient messages, and research articles. This data contains valuable insights that can significantly improve patient care, but are difficult to include in traditional modeling techniques due to its unstructured format.

Unstructured Data 91

Unstructured Data Healthcare Process Data 91

Data Engineering Podcast

OCTOBER 15, 2023

Despite this, it is still operationally challenging to deploy and maintain your own stream processing infrastructure. Decodable was built with a mission of eliminating all of the painful aspects of developing and deploying stream processing systems for engineering teams. With Materialize, you can! With Materialize, you can!

Process 182

Process Building SQL BI 182

KDnuggets

OCTOBER 13, 2022

In NLP we must find a way to represent our data (a series of texts) to our systems (e.g. As Yoav Goldberg asks, "How can we encode such categorical data in a way which is amenable for us by a statistical classifier?" a text classifier). Enter the word vector.

Process 159

Process Data Systems 159

Confessions of a Data Guy

MAY 2, 2024

When it comes to debugging […] The post Reading and Processing JSON with Rust vs Python. appeared first on Confessions of a Data Guy. I’ve found I like being explicit and verbose when writing code, rather than being vague in what I’m doing most of the time.

Python 100

Python Process Coding Data 100

LinkedIn Engineering

JANUARY 19, 2024

Figure 1: Talent pool report for recruiters - LinkedIn Talent Insights During mergers and acquisitions, the source company’s user licenses and data are transferred to the acquiring company. This multi-entity handover process involves huge amounts of data updating and cloning. A typical merger & acquisition scenario.

Recruitment 88

Recruitment Data Process Process Kafka 88

Confluent

NOVEMBER 30, 2022

What is stream processing, or complex event processing (CEP), and how does it work? Learn about real-time data and event stream analytics in this tutorial.

Process 126

Process Data IT 126

Towards Data Science

NOVEMBER 16, 2023

Data Management A tutorial on how to use VDK to perform batch data processing Photo by Mika Baumeister on Unsplash Versatile Data Ki t (VDK) is an open-source data ingestion and processing framework designed to simplify data management complexities.

Data Process 75

Data Process Process Raw Data Data 75

DataKitchen

NOVEMBER 4, 2021

Data organizations often have a mix of centralized and decentralized activity. DataOps concerns itself with the complex flow of data across teams, data centers and organizational boundaries. It expands beyond tools and data architecture and views the data organization from the perspective of its processes and workflows.

Process 98

Process Data Process Pharmaceutical Data Lake 98

Precisely

MARCH 7, 2024

Insurance industry leaders are just beginning to understand the value that generative AI can bring to the claims management process. By harnessing the power of machine learning and natural language processing, sophisticated systems can analyze and prioritize claims with unprecedented efficiency and timeliness.

Insurance 72

Insurance Process Medical Data Governance 72

KDnuggets

AUGUST 22, 2022

Write a single line of code to clean and process the data for analytics and machine learning tasks.

Data Process 138

Data Process Process Machine Learning Data 138

Tweag

APRIL 26, 2023

Computing is all about transforming data. Moreover, these steps can be combined in different ways, perhaps omitting some or changing the order of others, producing different data processing pipelines tailored to a particular task at hand. Depending on your particular use case, either behavior might be the desired one!

Data Process 98

Data Process Process Programming Data 98

Netflix Tech

NOVEMBER 14, 2023

By Abhinaya Shetty , Bharath Mummadisetty In the inaugural blog post of this series, we introduced you to the state of our pipelines before Psyberg and the challenges with incremental processing that led us to create the Psyberg framework within Netflix’s Membership and Finance data engineering team.

Data Process 92

Data Process Process Metadata Finance 92

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.

Process 109

Process Transportation Kafka Entertainment 109

databricks

JULY 8, 2024

We are proud to announce two new analyst reports recognizing Databricks in the data engineering and data streaming space: IDC MarketScape: Worldwide Analytic.

Data Pipeline 123

Data Pipeline Process Cloud Data Engineering 123

Towards Data Science

FEBRUARY 18, 2024

How to Stream and Apply Real-Time Prediction Models on High-Throughput Time-Series Data Photo by JJ Ying on Unsplash Most of the stream processing libraries are not python friendly while the majority of machine learning and data mining libraries are python based.

Kafka 77

Kafka Python Process Google Cloud 77

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.

Architecture 52

Architecture Database-centric Process BI 52

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.

Process 119

Process Lambda Architecture Kafka Machine Learning 119

Towards Data Science

FEBRUARY 12, 2024

Let’s learn what… Continue reading on Towards Data Science » In this first article, we’re exploring Apache Beam, from a simple pipeline to a more complicated one, using GCP Dataflow.

Data Pipeline 93

Data Pipeline Data Process Process Data Science 93

Precisely

NOVEMBER 14, 2024

Read on for a preview of the six essential trends from the 2025 Trends in SAP ® Processes and Automation report. SAP ® process automation is also now becoming recognized as an effective way to stay agile in the face of business disruptions, disparate IT systems, and the complexities that come along with each. What did they have to say?

Process 52

Process Finance Systems Coding 52

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.

Data Engineering 183

Data Engineering Data Engineer Data Process Process 183

Data Engineering Podcast

NOVEMBER 20, 2021

Summary One of the perennial challenges posed by data lakes is how to keep them up to date as new data is collected. With the improvements in streaming engines it is now possible to perform all of your data integration in near real time, but it can be challenging to understand the proper processing patterns to make that performant.

Data Lake 100

Data Lake Data Integration Lambda Architecture Process 100

Edureka

AUGUST 2, 2023

Organisations and businesses are flooded with enormous amounts of data in the digital era. Raw data, however, is frequently disorganised, unstructured, and challenging to work with directly. Data processing analysts can be useful in this situation. What Does a Data Processing Analyst Do?

Data Process 52

Data Process Process Data Cleanse Data Mining 52