Data Engineering Podcast

DECEMBER 25, 2022

Recognizing this shortcoming and the capabilities that could be unlocked by a robust solution Rishabh Poddar helped to create Opaque Systems as an outgrowth of his PhD studies. That way data engineers and data users can process to their heart’s content without worrying about their cloud bill. Pricing for SQLake is simple.

Machine Learning 130

Machine Learning Systems Data Lake Data Warehouse 130

AltexSoft

AUGUST 25, 2021

And this technology of Natural Language Processing is available to all businesses. Available methods for text processing and which one to choose. What is Natural Language Processing? Natural language processing or NLP is a branch of Artificial Intelligence that gives machines the ability to understand natural human speech.

Process 139

Process Deep Learning Datasets Machine Learning 139

Engineering at Meta

SEPTEMBER 7, 2023

We’re introducing Arcadia, Meta’s unified system that simulates the compute, memory, and network performance of AI training clusters. We need a systemized source of truth that can simulate various performance factors across compute, storage, and network collectively. For instance, the AI Research SuperCluster for AI research.

Systems 112

Systems Architecture Designing Utilities 112

The Pragmatic Engineer

JUNE 1, 2023

Juraj included system monitoring parts which monitor the server’s capacity he runs the app on: The monitoring page on the Rides app And it doesn’t end here. Juraj created a systems design explainer on how he built this project, and the technologies used: The systems design diagram for the Rides application The app uses: Node.js

Education 363

Education Project PostgreSQL Software Engineer 363

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 94

Systems Machine Learning Data Mining Algorithm 94

The Pragmatic Engineer

NOVEMBER 21, 2023

If you had a continuous deployment system up and running around 2010, you were ahead of the pack: but today it’s considered strange if your team would not have this for things like web applications.  Avoiding downtime was nerve-wracking, and the notion of a 'rollback' was as much a relief as a technical process. 

Engineering 302

Engineering Bytes Cloud Computing AWS 302

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.

Systems 98

Systems Media Algorithm Machine Learning 98

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. In the event of these different cluster errors, what are the strategies for mitigating and recovering from those failures? Operating it at scale, however, is notoriously challenging.

Kafka 245

Kafka Data Lake High Quality Data SQL 245

Zalando Engineering

APRIL 22, 2024

We cannot process all requested communication as fast as possible. The business stakeholders have requested to ensure that we process the communication which supports critical business operations within the given service level objectives ( SLOs). We know if our system runs within its normal limits that we meet our SLOs.

Algorithm 75

Algorithm Systems Kafka Designing 75

Knowledge Hut

JANUARY 28, 2024

The change control process is a crucial aspect of project management intended to manage and regulate changes made to the project plan, schedule, and budget. These change control process steps are planning, analyzing, approval, testing, implementing, and closing. The change request kickstarts the process of change control.

Process 98

Process Project Designing Pharmaceutical 98

ProjectPro

FEBRUARY 16, 2023

Whether you’re looking to track objects in a video stream, build a face recognition system, or edit images creatively, OpenCV Python implementation is the go-to choice for the job. At the core of such applications lies the science of machine learning, image processing, computer vision, and deep learning. What is OpenCV Python?

Python 98

Python Process Deep Learning Algorithm 98

The Pragmatic Engineer

OCTOBER 17, 2024

We recently covered how CockroachDB joins the trend of moving from open source to proprietary and why Oxide decided to keep using it with self-support , regardless Web hosting:  Netlify : chosen thanks to their super smooth preview system with SSR support. Internal comms: Chat: Slack Coordination / project management: Linear 3.

Cloud 278

Cloud AWS Metadata Cloud Computing 278

LinkedIn Engineering

JANUARY 19, 2024

This multi-entity handover process involves huge amounts of data updating and cloning. Data consistency, feature reliability, processing scalability, and end-to-end observability are key drivers to ensuring business as usual (zero disruptions) and a cohesive customer experience. Push for eventual success of the request.

Recruitment 88

Recruitment Data Process Process Kafka 88

Data Engineering Podcast

MARCH 3, 2024

Join us at the top event for the global data community, Data Council Austin. Don't miss out on our only event this year! Who needs to be involved in the process of defining and developing that program? What are the skills and systems that need to be in place to effectively execute on an AI program? "AI"

Programming 162

Programming Data Lake High Quality Data Data Pipeline 162

Precisely

DECEMBER 16, 2024

Modern IT environments require comprehensive data for successful AIOps, that includes incorporating data from legacy systems like IBM i and IBM Z into ITOps platforms. AIOps presents enormous promise, but many organizations face hurdles in its implementation: Complex ecosystems made of multiple, fragmented systems that lack interoperability.

Systems 52

Systems IT Machine Learning Insurance 52

Data Engineering Podcast

MAY 21, 2023

Proponents of the streaming paradigm argue that stream processing engines can easily handle batched workloads, but the reverse isn't true. The batch world has been the default for years because of the complexities of running a reliable streaming system at scale. Stream processing technologies have been around for around a decade.

Data Lake 162

Data Lake Machine Learning Kafka Data Warehouse 162

Netflix Tech

JUNE 1, 2023

In this blog post, we’ll discuss the methods we used to ensure a successful launch, including: How we tested the system Netflix technologies involved Best practices we developed Realistic Test Traffic Netflix traffic ebbs and flows throughout the day in a sinusoidal pattern. We used Elasticsearch dashboards to analyze results.

Algorithm 140

Algorithm Metadata Kafka Systems 140

Netflix Tech

NOVEMBER 12, 2024

By: Rajiv Shringi , Oleksii Tkachuk , Kartik Sathyanarayanan Introduction In our previous blog post, we introduced Netflix’s TimeSeries Abstraction , a distributed service designed to store and query large volumes of temporal event data with low millisecond latencies. Today, we’re excited to present the Distributed Counter Abstraction.

Datasets 101

Datasets Computer Science Systems Kafka 101

Data Engineering Podcast

FEBRUARY 25, 2024

Over the decades of research and development into building these software systems there are a number of common components that are shared across implementations. When Paul Dix decided to re-write the InfluxDB engine he found the Apache Arrow ecosystem ready and waiting with useful building blocks to accelerate the process.

Database 162

Database Technology Data Lake High Quality Data 162

Data Engineering Podcast

MAY 28, 2023

Their SDKs make event streaming from any app or website easy, and their extensive library of integrations enable you to automatically send data to hundreds of downstream tools. Have you found it more practical to hire outside talent to build out the first data systems, or grow that talent internally?

Data Lake 162

Data Lake Machine Learning Data Warehouse Education 162

Data Engineering Podcast

APRIL 16, 2023

As the capabilities of these systems has improved and become more accessible, the target of what self-serve means changes. Their SDKs make event streaming from any app or website easy, and their extensive library of integrations enable you to automatically send data to hundreds of downstream tools.

Business Intelligence 147

Business Intelligence Building Data Lake BI 147

Precisely

MAY 30, 2024

Key Takeaways: Cloud-based High Availability Disaster Recovery (HA-DR) solutions enhance operational efficiency, leveraging automation to streamline recovery processes and reduce downtime expenses. Are you considering leveraging the cloud alongside your existing IBM AIX and IBM i systems infrastructure?

Systems 69

Systems Cloud Cloud Computing Education 69

Data Engineering Podcast

MARCH 17, 2024

Summary A significant portion of data workflows involve storing and processing information in database engines. Validating that the information is stored and processed correctly can be complex and time-consuming, especially when the source and destination speak different dialects of SQL. Don't miss out on our only event this year!

Database 147

Database Data Lake High Quality Data Data Workflow 147

DoorDash Engineering

MARCH 27, 2024

Real-time event processing is a critical component of a distributed system’s scalability. At DoorDash, we rely on message queue systems based on Kafka to handle billions of real-time events. One of the challenges we face, however, is how to properly validate the system before going live.

Kafka 103

Kafka Architecture Algorithm Systems 103

Data Engineering Podcast

MAY 7, 2023

The challenge is that most companies have a multitude of systems that contain fragments of the customer's interactions and stitching that together is complex and time consuming. Segment created the Unify product to reduce the burden of building a comprehensive view of customers and synchronizing it to all of the systems that need it.

Pipeline-centric 130

Pipeline-centric Data Lake Machine Learning Data Warehouse 130

Netflix Tech

SEPTEMBER 10, 2024

One issue that often complicates this process is the "noisy neighbor" problem. On Titus , our multi-tenant compute platform, a "noisy neighbor" refers to a container or system service that heavily utilizes the server's resources, causing performance degradation in adjacent containers.

Utilities 100

Utilities Coding Programming Java 100

Picnic Engineering

FEBRUARY 8, 2023

Delivering the right events at low latency and with a high volume is critical to Picnic’s system architecture. Each local transaction is designed to be reversible so that if something goes wrong during the process, the system can roll back any changes that have been made. A true heroic story indeed! How does it work?

Data Pipeline 105

Data Pipeline Kafka Data Architecture 105

Data Engineering Podcast

MARCH 10, 2024

Join us at the top event for the global data community, Data Council Austin. Don't miss out on our only event this year! How does the inclusion of Nessie in a data lake influence the overall workflow of developing/deploying/evolving processing flows? Don't miss out on our only event this year!

Data Lake 147

Data Lake High Quality Data Data Pipeline Architecture 147

Knowledge Hut

MAY 3, 2024

A new breed of ‘Fast Data’ architectures has evolved to be stream-oriented, where data is processed as it arrives, providing businesses with a competitive advantage. The demand for stream processing is increasing every day in today’s era. Kafka streams provide true a-record-at-a-time processing capabilities.

Kafka 98

Kafka Scala Java Amazon Web Services 98

Netflix Tech

NOVEMBER 14, 2023

In this three-part blog post series, we introduce you to Psyberg , our incremental data processing framework designed to tackle such challenges! We’ll discuss batch data processing, the limitations we faced, and how Psyberg emerged as a solution. Let’s dive in! What is late-arriving data? How does late-arriving data impact us?

Data Engineering 109

Data Engineering Data Engineer Engineering Metadata 109

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. The bias toward correctness will increase the processing time, which may not be feasible when speed is a priority. Let’s talk about the data processing types.

Engineering 112

Engineering Kafka Data Pipeline Data Warehouse 112

Robinhood

JUNE 6, 2024

Robinhood and Bitstamp customers can expect the same level of service, security and reliability and as we move forward, we are committed to maintaining transparency throughout this process. Robinhood expects the final deal consideration to be approximately $200 million in cash, subject to customary purchase price adjustments.

Retail 129

Retail Systems Process Management 129

Netflix Tech

JULY 22, 2024

This is useful if a workflow is designed to always process the latest data, such as processing the latest snapshot of an entire table each time. This helps to fan out and distribute the execution, enabling the processing of large amounts of data within the time limit. This approach significantly reduces security concerns.

Machine Learning 104

Machine Learning Coding Data Pipeline Java 104

Data Engineering Podcast

JUNE 17, 2023

In data systems one of the core architectural exercises is data modeling, which can have significant impacts on what is and is not possible for downstream use cases. By incorporating column-level lineage in the data modeling process it encourages a more robust and well-informed design. RudderStack also supports real-time use cases.

Data Lake 130

Data Lake Machine Learning Metadata Data Architecture 130

The Pragmatic Engineer

SEPTEMBER 28, 2023

Willem Spruijt is a software engineer whom I worked on the same team with at Uber in Amsterdam, building payments systems. So we had a quarterly planning process to ensure all project dependencies were incorporated into each team’s roadmap. A roundup of recent events in tech, with commentary. And it got worse.

Software Engineer 253

Software Engineer Software Engineering Engineering Building 253

Data Engineering Weekly

AUGUST 6, 2024

CDC Evaluation Guide Google Sheet Link: [link] CDC Evaluation Guide Github Link: [link] Change Data Capture (CDC) is a powerful technology in data engineering that allows for continuously capturing changes (inserts, updates, and deletes) made to source systems. Impacts source system performance during query execution.

Data Lake 126

Data Lake Data Warehouse Database Data Architecture 126

Snowflake

JUNE 10, 2024

Discovering and surfacing telemetry traditionally can be a tedious and challenging process, especially when it comes to pinpointing specific issues for debugging. A default Event Table (public preview soon) is in the Snowflake database of every account, removing the need to create and manage your own custom event table.

Python 107

Python Java Hadoop Coding 107