Cloudera

MAY 30, 2024

Here’s what implementing an open data lakehouse with Cloudera delivers: Integration of Data Lake and Data Warehouse : An open data lakehouse brings together the best of both worlds by integrating the storage flexibility of a data lake with the query performance and structured querying capabilities of a data warehouse.

Data Lake 71

Data Lake Data Warehouse Programming Language Data Ingestion 71

Towards Data Science

APRIL 30, 2024

Balancing correctness, latency, and cost in unbounded data processing Image created by the author. Implementation and designs of the model. Intro Google Dataflow is a fully managed data processing service that provides serverless unified stream and batch data processing.

Google Cloud 61

Google Cloud Process Cloud Lambda Architecture 61

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.

Big Data 52

Big Data Data Process Process Kafka 52

Data Engineering Weekly

DECEMBER 10, 2023

link] Evidently: ML system design - 300 case studies to learn from An amazing compilation of ML system design articles from various companies. The blog is an excellent comparison study of Ray vs. Dask’s performance. The author discusses the OneTable sync mechanism among all three major LakeHouse formats in this blog.

Data Engineering 76

Data Engineering Data Engineer Engineering Metadata 76

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.

Big Data 98

Big Data Technology NoSQL Hadoop 98

Data Engineering Weekly

FEBRUARY 25, 2024

link] Berkeley Artificial Intelligence Research (BAIR): The Shift from Models to Compound AI Systems The Berkeley AI Research (BAIR) blog discusses the evolution from focusing on single large language models (LLMs) to developing compound AI systems that integrate multiple components, including LLMs, for superior performance.

Data Engineering 62

Data Engineering Data Engineer Engineering Kafka 62

Databand.ai

AUGUST 30, 2023

DataOps , short for data operations, is an emerging discipline that focuses on improving the collaboration, integration, and automation of data processes across an organization. Accelerated Data Analytics DataOps tools help automate and streamline various data processes, leading to faster and more efficient data analytics.

Data Cleanse 52

Data Cleanse Data Pipeline Data Ingestion Data Validation 52

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.

Kafka 81

Kafka Bytes Architecture Utilities 81

Data Engineering Weekly

APRIL 28, 2024

Intuit writes about the growing data mesh strategy and the strategic focus area for building data products. Lyft writes about how it enabled continuous learning with technical training, Computer Science courses for Data Science, Seminar, and Brown Bag. LinkedIn writes an exciting blog about what is and is not working.

Data Engineering 52

Data Engineering Data Engineer Engineering Hospitality 52

Engineering at Meta

MAY 22, 2024

To efficiently process data generated by billions of people, Data Infrastructure teams at Meta have built a variety of data management systems over the last decade, each targeted to a somewhat specific data processing task. We needed to change our thinking to be able to move faster.

Data Management 86

Data Management Management Data SQL 86

Cloudyard

APRIL 1, 2024

This blog post introduces a solution for automated warehouse size change monitoring and email alerts using Snowflake Streams and Tasks. Imagine you’re a data analyst managing a busy Snowflake account. You rely on a designated warehouse to handle your data processing needs.

Data Pipeline 52

Data Pipeline Utilities Coding Designing 52

Databand.ai

AUGUST 30, 2023

Slow data processing: Due to the manual nature of many data workflows in legacy architectures, data processing can be time-consuming and resource-intensive. They include the various databases, applications, APIs, and external systems from which data is collected and ingested.

Architecture 52

Architecture Data Ingestion Data Governance Data Cleanse 52

Data Engineering Weekly

MAY 16, 2023

In the first part of this series, we talked about design patterns for data creation and the pros & cons of each system from the data contract perspective. In the second part, we will focus on architectural patterns to implement data quality from a data contract perspective. Why is Data Quality Expensive?

Engineering 110

Engineering Kafka Data Pipeline Data Warehouse 110

Netflix Tech

MARCH 10, 2023

This feature support required a significant update in the data table design (which includes new tables and updating existing table columns). Existing data got updated to be backward compatible without impacting the existing running production traffic. Data can be processed synchronously or asynchronously.

Management 94

Management Kafka Metadata Media 94

Data Engineering Weekly

JULY 30, 2023

Oh, just throw this data in S3 and possibly apply intelligent tiering. data engineer, you won’t be surprised to hear this. The blog from All Things Distributed goes behind the scene on the challenges of operating S3 with the data placement strategy and managing machine heat and human factors. If you’re a.

Data Engineering 52

Data Engineering Data Engineer Engineering Kafka 52

Data Engineering Weekly

DECEMBER 3, 2023

Github writes an excellent blog to capture the current state of the LLM integration architecture. link] Microsoft: Generative AI for Beginners Understanding Gen-AI becomes a mandatory skill for application developers and data engineers. I experienced similar drawbacks to what Lyft is talking about in Druid.

Data Engineering 70

Data Engineering Data Engineer Engineering Bytes 70

Databand.ai

JULY 19, 2023

A Beginner’s Guide [SQ] Niv Sluzki July 19, 2023 ELT is a data processing method that involves extracting data from its source, loading it into a database or data warehouse, and then later transforming it into a format that suits business needs. In this phase, data is collected from various sources.

Data Cleanse 52

Data Cleanse Raw Data Data Storage Data Warehouse 52

Edureka

FEBRUARY 9, 2023

Azure Data Engineering is a rapidly growing field that involves designing, building, and maintaining data processing systems using Microsoft Azure technologies. Contents: What is the role of an Azure Data Engineer?

Data Engineering 52

Data Engineering Data Engineer Engineering Amazon Web Services 52

Cloudera

SEPTEMBER 26, 2023

Organizations increasingly rely on streaming data sources not only to bring data into the enterprise but also to perform streaming analytics that accelerate the process of being able to get value from the data early in its lifecycle.

Kafka 92

Kafka Technology IT Government 92

Tweag

MAY 20, 2024

In this blog post, we’ll present a proof-of-concept of work-dAIgest , show you what’s under the hood and finally touch quickly on a couple lessons we learned during this short, but fun project. Large language model The LLM was at the heart of this project, and with it came two important questions: What LLM to use and how to design the prompt.

AWS 60

AWS Python Project Data Science 60

Data Engineering Weekly

NOVEMBER 20, 2022

[link] The short YouTube video gives a nice overview of the Data Cards. We often think of AI/ ML as a complex data processing problem, but it doesn’t make any use until it is exposed to an end user or an application. The blog narrates one such application that uses video quality with neural networks.

Data Engineering 52

Data Engineering Data Engineer Engineering Datasets 52

Databand.ai

JULY 19, 2023

This capability is particularly useful in complex data landscapes, where data may pass through multiple systems and transformations before reaching its final destination Impact analysis: When changes are made to data sources or data processing systems, it’s critical to understand the potential impact on downstream processes and reports.

Pipeline-centric 52

Pipeline-centric Data Governance Metadata Government 52

Knowledge Hut

DECEMBER 28, 2023

In this comprehensive guide, we will demystify the process of achieving the Azure Data Engineer certification. This blog will guide us through the Azure Data Engineer certification path , equipping us with insights necessary for this transformative journey. Who is an Azure Data Engineer?

Certification 52

Certification Data Engineering Data Engineer Engineering 52

Pinterest Engineering

OCTOBER 17, 2023

Charles Wu | Software Engineer; Isabel Tallam | Software Engineer; Kapil Bajaj | Engineering Manager Overview In this blog, we present a pragmatic way of integrating analytics, written in Python, with our distributed anomaly detection platform, written in Java. We have also thought of building a RESTful API endpoint in Python.

Algorithm 87

Algorithm Java Python Software Engineer 87

DataKitchen

MAY 10, 2024

The Five Use Cases in Data Observability: Mastering Data Production (#3) Introduction Managing the production phase of data analytics is a daunting challenge. Overseeing multi-tool, multi-dataset, and multi-hop data processes ensures high-quality outputs.

Raw Data 49

Raw Data Data Ingestion Datasets Data 49

LinkedIn Engineering

APRIL 4, 2023

This blog post will provide an overview of how we approached metrics selection and design, system architecture and key product features. Metrics Design and Selection We started with a simple question: What should we measure? To answer that we followed a metrics design framework called “Goals-Signals-Metrics.” (GSM)

MySQL 122

MySQL Datasets Software Engineer Software Engineering 122

Rockset

MARCH 18, 2024

That’s because successfully deploying an AI application requires retrieval augmented generation or “RAG” pipelines, processing real-time data streams, chunking data, generating embeddings, storing embeddings and running vector search. They also need to be designed for real-time updates. What is RAG?

Cloud 64

Cloud Building Metadata Kafka 64

Data Engineering Weekly

FEBRUARY 12, 2023

As a Data Engineer, I always want to know what is behind the scene of a product and how efficiently we can use system design to solve a business problem efficiently. We open the Behind the Scene series for startup founders to write in-depth technical articles, system design, and efficient product usage. ”, Wait, what?

Data Engineering 52

Data Engineering Data Engineer Engineering Hadoop 52

Cloudera

OCTOBER 7, 2021

In this blog, I will demonstrate the value of Cloudera DataFlow (CDF) , the edge-to-cloud streaming data platform available on the Cloudera Data Platform (CDP) , as a Data integration and Democratization fabric. Introduction to the Data Mesh Architecture. Key Design Principles of a Data Mesh.

Architecture 124

Architecture Metadata Government Kafka 124

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! Let’s dive in! To solve these problems, we came up with Psyberg!

Data Engineering 105

Data Engineering Data Engineer Engineering Metadata 105

Netflix Tech

NOVEMBER 20, 2023

In this blog post, we talk about the landscape and the challenges in workflows at Netflix. We will show how we are building a clean and efficient incremental processing solution (IPS) by using Netflix Maestro and Apache Iceberg. IPS enables users to continue to use the data processing patterns with minimal changes.

Process 84

Process Data Pipeline Datasets Aggregated Data 84

Data Engineering Weekly

SEPTEMBER 11, 2023

Niels Claeys: Head-to-head comparison of 3 dbt SQL engines The blog post compares benchmarks for the popular dbt SQL engines Trino, DuckDB, and Spark. However, one could argue this is not a head-to-head comparison since all three engines are designed for different hardware constraints. See how it works today.

Data Engineering 62

Data Engineering Data Engineer Engineering Kafka 62

Data Engineering Weekly

FEBRUARY 18, 2024

In a recent poll, 75% of data practitioners say either they are implementing or are thinking of implementing Data Products. Yet, there is no tool for the data producers to Define, Design, Collaborate, Test, & Continuously Monitor the Data Products.

Data Engineering 62

Data Engineering Data Engineer Engineering Data 62

Knowledge Hut

DECEMBER 28, 2023

Hadoop is a popular open-source framework that stores and processes large datasets in a distributed manner. It is designed to handle errors and issues efficiently, making it suitable for local computing and storage. Competitive Advantage: Utilizing Hadoop projects can give organizations a competitive edge through data-driven insights.

Hadoop 52

Hadoop Project Datasets Big Data 52

Knowledge Hut

MARCH 7, 2024

This blog will get you the top ten IoT skills that will be in high demand in 2024, as well as how you may develop them through IoT online courses , projects, and certifications. However, to succeed in this domain, you need the right skills and knowledge to help you design, develop and deploy IoT applications. Development Node.js

Cloud Computing 52

Cloud Computing Machine Learning Transportation Google Cloud 52

Snowflake

MAY 23, 2024

Snowflake has excellent capabilities for working with semistructured hierarchical data. These capabilities enabled us to design our robust solution, Pancake. Pancake automates the creation of data pipelines to transform complex, polymorphic and hierarchical data into relational streams in the form of Snowflake Dynamic Tables.

Data Pipeline 85

Data Pipeline Raw Data Data Schemas Technology 85

Cloudera

JULY 19, 2023

As Ozone scales to exabytes of data, it is important to ensure that Ozone Manager can perform at scale. In this blog post, we will highlight the work done recently to improve the performance of Ozone Manager to scale to exabytes of data. The hardware specifications are included at the end of this blog.

Management 70

Management Metadata Datasets Architecture 70