Cloudera

SEPTEMBER 20, 2021

In Part 1, the discussion is related to: Serial and Parallel Systems Reliability as a concept, Kafka Clusters with and without Co-Located Apache Zookeeper, and Kafka Clusters deployed on VMs. . Serial and Parallel Systems Reliability . Serial Systems Reliability. Serial Systems Reliability.

Kafka 116

Kafka Systems Utilities Bytes 116

Pinterest Engineering

JULY 25, 2023

Each dataset needs to be securely stored with minimal access granted to ensure they are used appropriately and can easily be located and disposed of when necessary. Consequently, access control mechanisms also need to scale constantly to handle the ever-increasing diversification.

Big Data 98

Big Data Accessible Accessibility Hadoop 98

Netflix Tech

NOVEMBER 12, 2024

However, this category requires near-immediate access to the current count at low latencies, all while keeping infrastructure costs to a minimum. Failures in a distributed system are a given, and having the ability to safely retry requests enhances the reliability of the service.

Datasets 100

Datasets Computer Science Systems Kafka 100

Knowledge Hut

JANUARY 3, 2024

An operating system that allows multiple programmes to run simultaneously on a single processor machine is known as a multiprogramming operating system. This keeps the system from idly waiting for the I/O work to finish, wasting CPU time. We'll explain the multiprogramming operating system in this article.

Systems 98

Systems Utilities Programming Language Programming 98

Knowledge Hut

MARCH 22, 2024

I have comprehensively analyzed the area of physical security, particularly the ongoing discussion surrounding fail safe vs fail-safe secure electric strike locking systems. On the other hand, fail-secure systems focus on maintaining continuous security, keeping doors locked even in difficult conditions to protect assets.

Systems 105

Systems Electronics Hospitality Architecture 105

Snowflake

MAY 16, 2024

Our modern approach accelerates digital transformation, connects previously siloed systems, increases operational efficiencies, and can deliver better outcomes for constituents verifying digital credentials. Snowflake’s Data Cloud was crucial in utilizing data to capture real-time information and effectively allocate funds.

Education 97

Education Accessible Accessibility Recruitment 97

Precisely

OCTOBER 31, 2024

Data fabric is a unified approach to data management, creating a consistent way to manage, access, and share data across distributed environments. With data volumes skyrocketing, and complexities increasing in variety and platforms, traditional centralized data management systems often struggle to keep up.

Data Architecture 69

Data Architecture Architecture Metadata Government 69

Snowflake

FEBRUARY 3, 2025

High-quality, accessible and well-governed data enables organizations to realize the efficiency and productivity gains executives seek. By establishing data standardization, accessibility, and integration, partners help clients overcome the barriers that often derail AI initiatives.

Government 78

Government Data Governance Accessible Accessibility 78

The Pragmatic Engineer

AUGUST 8, 2024

I have confirmed this through talking with software engineers there, who told me there’s a top-down mandate to utilize AI wherever possible in an effort to drive more efficiency, and product improvements. With clever-enough probing, this system prompt can be revealed. ” What is the system prompt for Klarna’s bot?

IT 236

IT Software Engineering Software Engineer Systems 236

Engineering at Meta

AUGUST 9, 2023

Explore is one of the largest recommendation systems on Instagram. Using more advanced machine learning models, like Two Towers neural networks, we’ve been able to make the Explore recommendation system even more scalable and flexible. locally popular media), which further contributes to system scalability.

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Systems Media Algorithm Machine Learning 90

Netflix Tech

MARCH 28, 2025

By Ko-Jen Hsiao , Yesu Feng and Sudarshan Lamkhede Motivation Netflixs personalized recommender system is a complex system, boasting a variety of specialized machine learned models each catering to distinct needs including Continue Watching and Todays Top Picks for You. Refer to our recent overview for more details).

Metadata 66

Metadata Bytes Entertainment Data Mining 66

The Pragmatic Engineer

SEPTEMBER 26, 2023

With remote work, engineers spend more time on video calls, which utilizes laptop resources like CPU, memory, and more. With full-remote work, the risk is higher that someone other than the employee accesses the codebase. Full subscribers can access a list with links here. Remote work. Open source VS Code Server.

Cloud 297

Cloud Software Engineering Software Engineer Cloud Computing 297

Engineering at Meta

MARCH 4, 2025

This has been forcing data center engineers to meet their storage performance needs by shifting hot (frequently accessed) data to a TLC flash tier or by overprovisioning storage. As discussed above, our QLC systems are very high in density. In other words, the bandwidth per TB for HDDs has been dropping.

Bytes 101

Bytes Media Data Technology 101

Data Engineering Weekly

MARCH 23, 2025

The author emphasizes the importance of mastering state management, understanding "local first" data processing (prioritizing single-node solutions before distributed systems), and leveraging an asset graph approach for data pipelines. I honestly don’t have a solid answer, but this blog is an excellent overview of upskilling.

Data Engineer 62

Data Engineer Data Engineering Engineering Data 62

Snowflake

NOVEMBER 11, 2024

Optimize performance and cost with a broader range of model options Cortex AI provides easy access to industry-leading models via LLM functions or REST APIs, enabling you to focus on driving generative AI innovations. We offer a broad selection of models in various sizes, context window lengths and language supports.

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Unstructured Data SQL AWS Healthcare 94

Netflix Tech

DECEMBER 19, 2024

Many of these projects are under constant development by dedicated teams with their own business goals and development best practices, such as the system that supports our content decision makers , or the system that ranks which language subtitles are most valuable for a specific piece ofcontent.

Machine Learning 81

Machine Learning Project Data Warehouse Coding 81

Ascend.io

NOVEMBER 14, 2024

This elasticity allows data pipelines to scale up or down as needed, optimizing resource utilization and cost efficiency. Utilize Cloud-Native Tools: Leverage cloud-native data pipeline tools like Ascend to build and orchestrate scalable workflows. Regularly review usage patterns and adjust cloud resource allocation as needed.

Data Pipeline 52

Data Pipeline Amazon Web Services Data Integration Data 52

Pinterest Engineering

JANUARY 18, 2024

In particular, our machine learning powered ads ranking systems are trying to understand users’ engagement and conversion intent and promote the right ads to the right user at the right time. Specifically, such discrepancies unfold into the following scenarios: Bug-free scenario : Our ads ranking system is working bug-free.

Systems 98

Systems Machine Learning Data Mining Algorithm 98

ThoughtSpot

NOVEMBER 5, 2024

ThoughtSpot prioritizes the high availability and minimal downtime of our systems to ensure a seamless user experience. In the realm of modern analytics platforms, where rapid and efficient processing of large datasets is essential, swift metadata access and management are critical for optimal system performance.

Metadata 52

Metadata PostgreSQL Java Database 52

Data Engineering Podcast

DECEMBER 24, 2023

Summary Kafka has become a ubiquitous technology, offering a simple method for coordinating events and data across different systems. Support Data Engineering Podcast Summary Kafka has become a ubiquitous technology, offering a simple method for coordinating events and data across different systems.

Kafka 245

Kafka Data Lake High Quality Data SQL 245

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. In this multi-part blog series, we take you behind the scenes of our system that processes billions of impressions daily.

Kafka 66

Kafka Datasets Metadata Utilities 66

The Pragmatic Engineer

JUNE 13, 2023

But there’s no “one size fits all” strategy when it comes to deciding the right balance between utilizing the cloud and operating your infrastructure on-premises. What are the use cases where the company already utilizes public cloud? Agoda utilizes Akamai as its CDN vendor. Agoda in numbers Agoda lists 3.6M

Cloud 232

Cloud Database Utilities BI 232

Snowflake

NOVEMBER 11, 2024

Ingest data more efficiently and manage costs For data managed by Snowflake, we are introducing features that help you access data easily and cost-effectively. This reduces the overall complexity of getting streaming data ready to use: Simply create external access integration with your existing Kafka solution.

Data Architecture 105

Data Architecture Architecture Data Lake Kafka 105

Precisely

MARCH 20, 2025

This includes accelerating data access and, crucially, enriching internal data with external information. Unlocking Value with Pre-Linked Datasets Today, youre able to access You can pick the best data for your needs, without being limited by a specific vendors ID system or fearing the complexity of managing all the overhead.

Insurance 69

Insurance Datasets Data Programming 69

Pinterest Engineering

NOVEMBER 18, 2024

This is crucial for applications that require up-to-date information, such as fraud detection systems or recommendation engines. Data Integration : By capturing changes, CDC facilitates seamless data integration between different systems. Finally, the control plane emits enriched metrics to enable effective monitoring of the system.

Kafka 50

Kafka MySQL Database Software Engineering 50

Cloudera

NOVEMBER 13, 2024

Several LLMs are publicly available through APIs from OpenAI , Anthropic , AWS , and others, which give developers instant access to industry-leading models that are capable of performing most generalized tasks. We can utilize this prompt to give the model more context on possible selections. Creating a Training Prompt.

Datasets 87

Datasets Machine Learning Coding Data Preparation 87

Snowflake

FEBRUARY 12, 2025

AI agents, autonomous systems that perform tasks using AI, can enhance business productivity by handling complex, multi-step operations in minutes. Agents need to access an organization's ever-growing structured and unstructured data to be effective and reliable. text, audio) and structured (e.g.,

Unstructured Data 74

Unstructured Data Government SQL Structured Data 74

Data Engineering Weekly

OCTOBER 27, 2024

impactdatasummit.com Uber: Streamlining Financial Precision - Uber’s Advanced Settlement Accounting System Possibly one of the complicated pipelines to build is the Financial reconciliation engine. Wix's system utilizes over 200 models daily, necessitating a scalable and robust solution. What are you waiting for?

Data Engineering 57

Data Engineering Data Engineer Engineering Unstructured Data 57

Edureka

MARCH 15, 2025

Decoders create the most statistically likely output sequence by utilizing this self-attention mechanism in conjunction with the encoders’ embeddings. It is seamlessly integrated across Meta’s platforms, increasing user access to AI insights, and leverages a larger dataset to enhance its capacity to handle complex tasks.

Entertainment 74

Entertainment Retail Education Datasets 74

Data Engineering Weekly

FEBRUARY 2, 2025

DeepSeek development involves a unique training recipe that generates a large dataset of long chain-of-thought reasoning examples, utilizes an interim high-quality reasoning model, and employs large-scale reinforcement learning (RL). Many articles explain how DeepSeek works, and I found the illustrated example much simpler to understand.

Data Engineering 57

Data Engineering Data Engineer Engineering Data Lake 57

Data Engineering Weekly

SEPTEMBER 26, 2024

Privacy and access management within data infrastructure is not just a best practice; it's a necessity. Robust privacy and access management protocols are crucial for GDPR compliance, protecting sensitive information, and maintaining user trust. For example, GDPR and HIPAA require strict access controls to protect sensitive data.

Systems 67

Systems Engineering Data Warehouse Architecture 67

Data Engineering Weekly

FEBRUARY 18, 2025

Kafka is designed to be a black box to collect all kinds of data, so Kafka doesn't have built-in schema and schema enforcement; this is the biggest problem when integrating with schematized systems like Lakehouse. This capability, termed Union Read, allows both layers to work in tandem for highly efficient and accurate data access.

Kafka 73

Kafka Lambda Architecture SQL Architecture 73

Engineering at Meta

MARCH 12, 2024

We focused on building end-to-end AI systems with a major emphasis on researcher and developer experience and productivity. With this in mind, we built one cluster with a remote direct memory access (RDMA) over converged Ethernet (RoCE) network fabric solution based on the Arista 7800 with Wedge400 and Minipack2 OCP rack switches.

Building 145

Building Portfolio Utilities Data Storage 145

Engineering at Meta

APRIL 13, 2023

As this is rolled out, security-conscious users who utilize the verify security code page will notice this verification process occurs quickly and automatically. This system is a new service provided by WhatsApp that relies on public auditing to verify the end-to-end encryption status of personal conversations.

Utilities 136

Utilities Coding Database Accessible 136

Towards Data Science

FEBRUARY 9, 2024

Ideal for those new to data systems or language model applications, this project is structured into two segments: This initial article guides you through constructing a data pipeline utilizing Kafka for streaming, Airflow for orchestration, Spark for data transformation, and PostgreSQL for storage. You can also leave the port at 5432.

Kafka 98

Kafka Data Engineer Data Engineering PostgreSQL 98

Data Engineering Podcast

JUNE 16, 2024

What are the other systems that feed into and rely on the Trino/Iceberg service? what kinds of questions are you answering with table metadata what use case/team does that support comparative utility of iceberg REST catalog What are the shortcomings of Trino and Iceberg? Want to see Starburst in action? Want to see Starburst in action?

Data Lake 147

Data Lake High Quality Data Metadata Machine Learning 147

Edureka

MARCH 20, 2025

Top Mobile Security Threats Cybercriminals target mobile devices on multiple fronts by exploiting vulnerabilities in mobile operating systems, malicious applications, and network infrastructures. Operating System and App Vulnerabilities No operating system is immune to flaws.

Banking 52

Banking Entertainment Media Transportation 52