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.

Google Cloud 119

Google Cloud Data Process Process Cloud 119

Engineering at Meta

JANUARY 22, 2025

This belief has led us to developing Privacy Aware Infrastructure (PAI) , which offers efficient and reliable first-class privacy constructs embedded in Meta infrastructure to address different privacy requirements, such as purpose limitation , which restricts the purposes for which data can be processed and used.

Data Warehouse 109

Data Warehouse SQL Programming Language Data 109

Data Engineering Weekly

OCTOBER 27, 2024

The blog is an excellent summary of the existing unstructured data landscape. The learning mostly involves understanding the data's nature, frequency of data processing, and awareness of the computing cost. It is exciting to read probably the first blog on building a vector search infrastructure at scale.

Data Engineering 58

Data Engineering Data Engineer Engineering Unstructured Data 58

Edureka

APRIL 22, 2025

Data engineering can help with it. It is the force behind seamless data flow, enabling everything from AI-driven automation to real-time analytics. To stay competitive, businesses need to adapt to new trends and find new ways to deal with ongoing problems by taking advantage of new possibilities in data engineering.

Data Engineering 52

Data Engineering Data Engineer Engineering Consulting 52

Jesse Anderson

FEBRUARY 11, 2025

Discover the insights he gained from academia and industry, his perspective on the future of data processing and the story behind building a next-generation graph database. Semih explains how Kuzu addresses the challenges of large graph analytics, the benefits of embeddability, and its potential for applications in AI and beyond.

Computer Science 130

Computer Science Database Design Software Engineering Software Engineer 130

Data Engineering Weekly

APRIL 20, 2025

The blog took out the last edition’s recommendation on AI and summarized the current state of AI adoption in enterprises. The simplistic model expressed in the blog made it easy for me to reason about the transactional system design. Kafka is probably the most reliable data infrastructure in the modern data era.

Data Engineering 68

Data Engineering Data Engineer Engineering Kafka 68

Data Engineering Weekly

MARCH 2, 2025

I found the blog to be a fresh take on the skill in demand by layoff datasets. DeepSeek’s smallpond Takes on Big Data. DeepSeek continues to impact the Data and AI landscape with its recent open-source tools, such as Fire-Flyer File System (3FS) and smallpond. link] Mehdio: DuckDB goes distributed?

Data Engineering 63

Data Engineering Data Engineer Engineering Datasets 63

Data Engineering Weekly

FEBRUARY 9, 2025

[link] QuantumBlack: Solving data quality for gen AI applications Unstructured data processing is a top priority for enterprises that want to harness the power of GenAI. It brings challenges in data processing and quality, but what data quality means in unstructured data is a top question for every organization.

Data Engineering 58

Data Engineering Data Engineer Engineering Unstructured Data 58

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, (..)

Data Pipeline 130

Data Pipeline Data Ingestion AWS Kafka 130

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.

Coding 130

Coding Data Process Project Process 130

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.

Data Process 52

Data Process Process Hadoop Scala 52

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?

Python 130

Python Data Process Process IT 130

Cloudera

DECEMBER 17, 2024

However, implementing AI models requires significant computing power and real-time data processing, which cannot be achieved without modern, scalable data platforms. The post Telco Enterprise Data Platforms: Key Success Factors in Building for an AI Future appeared first on Cloudera Blog.

Building 62

Building Telecommunication Data Architecture Architecture 62

Pinterest Engineering

NOVEMBER 18, 2024

Liang Mou; Staff Software Engineer, Logging Platform | Elizabeth (Vi) Nguyen; Software Engineer I, Logging Platform | In today’s data-driven world, businesses need to process and analyze data in real-time to make informed decisions. What is Change Data Capture? Why is CDC Important? or its affiliates.

Kafka 50

Kafka MySQL Database Software Engineering 50

Ascend.io

NOVEMBER 14, 2024

Why Future-Proofing Your Data Pipelines Matters Data has become the backbone of decision-making in businesses across the globe. The ability to harness and analyze data effectively can make or break a company’s competitive edge. In this blog post, we’ll explore key strategies for future-proofing your data pipelines.

Data Pipeline 52

Data Pipeline Amazon Web Services Data Integration Data 52

Data Engineering Weekly

MARCH 16, 2025

It discusses dataset considerations (relevance, annotation quality, size, ethics, data cutoffs, modalities, synthetic data), formats for instruction and preference tuning, synthetic data creation (Self-Instruct), data labeling approaches (human, LLM-assisted, cohort-based, RLHF-based), and data processing architectures using Amazon Web Services.

Data Engineering 58

Data Engineering Data Engineer Engineering Amazon Web Services 58

Snowflake

NOVEMBER 11, 2024

These scalable models can handle millions of records, enabling you to efficiently build high-performing NLP data pipelines. However, scaling LLM data processing to millions of records can pose data transfer and orchestration challenges, easily addressed by the user-friendly SQL functions in Snowflake Cortex.

Unstructured Data 98

Unstructured Data SQL AWS Healthcare 98

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.

Data Pipeline 118

Data Pipeline Building Manufacturing Data Warehouse 118

Cloudyard

JANUARY 21, 2025

Read Time: 6 Minute, 6 Second In modern data pipelines, handling data in various formats such as CSV, Parquet, and JSON is essential to ensure smooth data processing. However, one of the most common challenges faced by data engineers is the evolution of schemas as new data comes in.

Data Schemas 59

Data Schemas Data Pipeline Data Warehouse Data Storage 59

Netflix Tech

JANUARY 2, 2025

However, due to the absence of a control group in these countries, we adopt a synthetic control framework ( blog post ) to estimate the counterfactual scenario. With some additional data processing, this yields an expected percent of cash spend each day leading up to and beyond the launch date, which we can base our forecasts on.

Engineering 76

Engineering Entertainment Designing Technology 76

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?

Data Engineering 110

Data Engineering Data Engineer Engineering Google Cloud 110

Ascend.io

DECEMBER 4, 2024

Automation, AI, DataOps, and strategic alignment are no longer optional —they are essential components of a successful data strategy. As we look towards 2025, it’s clear that data teams must evolve to meet the demands of evolving technology and opportunities. How effective are your current data workflows?

Data Pipeline 52

Data Pipeline Metadata Data Workflow Data 52

Ascend.io

OCTOBER 28, 2024

Data transformation helps make sense of the chaos, acting as the bridge between unprocessed data and actionable intelligence. You might even think of effective data transformation like a powerful magnet that draws the needle from the stack, leaving the hay behind.

Raw Data 52

Raw Data Datasets Aggregated Data Data Pipeline 52

Striim

MARCH 21, 2025

This blog post describes the advantages of real-time ETL and how it increases the value gained from Snowflake implementations. With instant elasticity, high-performance, and secure data sharing across multiple clouds , Snowflake has become highly in-demand for its cloud-based data warehouse offering.

Data Warehouse 52

Data Warehouse MongoDB MySQL Hadoop 52

Data Engineering Weekly

JANUARY 12, 2025

This blog captures the current state of Agent adoption, emerging software engineering roles, and the use case category. Generative AI demands the processing of vast amounts of diverse, unstructured data (e.g., meeting recordings and videos), which contrasts with traditional SQL-centric systems for structured data.

Pipeline-centric 58

Pipeline-centric Data Engineering Data Engineer Engineering 58

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.

Google Cloud 92

Google Cloud Process Cloud Lambda Architecture 92

Cloudera

AUGUST 2, 2021

As you’ll see in this blog, NiFi is not only keeping up with Storm; it beats Storm by 4x throughput. . Because, they’ll be able to store massive amounts of data, process this data in real-time or batch, and serve the data to other applications. They asked, “Can NiFi keep up with the same throughput as Storm?”

Kafka 119

Kafka Java Coding Process 119

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.

MySQL 130

MySQL Data Datasets SQL 130

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

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. Should We Build a New Tool?

Engineering 111

Engineering Kafka Data Pipeline Data Warehouse 111

Data Engineering Weekly

MARCH 23, 2025

[link] Georg Heiler: Upskilling data engineers What should I prefer for 2028, or how can I break into data engineering? I honestly don’t have a solid answer, but this blog is an excellent overview of upskilling. These are common LinkedIn requests.

Data Engineering 63

Data Engineering Data Engineer Engineering Data 63

Netflix Tech

FEBRUARY 14, 2025

It requires a state-of-the-art system that can track and process these impressions while maintaining a detailed history of each profiles exposure. This nuanced integration of data and technology empowers us to offer bespoke content recommendations.

Kafka 66

Kafka Datasets Metadata Utilities 66

Snowflake

AUGUST 1, 2024

Check out this blog. Snowpark Container Services gives developers the ability to bring any containerized workload to their data that is already secure in Snowflake — ReactJS front-ends, open source large language models (LLMs), distributed data processing pipelines, you name it. First, security.

Deep Learning 126

Deep Learning Government AWS Architecture 126

Cloudera

MARCH 11, 2021

While Apache NiFi is used successfully by hundreds of our customers to power mission critical and large-scale data flows, the expectations for enterprise data flow solutions are constantly evolving. In this blog post, I want to share the top three requirements for data flows in 2021 that we hear from our customers.

Cloud 119

Cloud Data Data Warehouse Data Integration 119

Cloudera

OCTOBER 1, 2020

GDS will likely be looking at its cloud-first policy and specifically, it’s preference for public cloud, in order to understand if it can enable the Government to successfully mitigate complex data processing legislation and uncertain future playing fields. . appeared first on Cloudera Blog.

Government 127

Government Cloud Data Storage Architecture 127

Hevo

JANUARY 26, 2025

In today’s fast-paced digital landscape, businesses face the daunting challenge of extracting valuable insights from large amounts of data. The ETL (Extract, Transform, Load) pipeline is the backbone of data processing and analysis.

Data Engineer 40

Data Engineer Data Engineering Engineering Data Process 40

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.

Python 97

Python Utilities Coding Data Engineer 97