Rockset

AUGUST 11, 2022

I had the pleasure of recently hosting a data engineering expert discussion on a topic that I know many of you are wrestling with – when to deploy batch or streaming data in your organization’s data stack. On the most-common mistake that data engineers make with streaming data. It’s like learning a different language.

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Bytes Consulting Kafka MongoDB 52

Rockset

NOVEMBER 9, 2021

CDC with Update Timestamps and Kafka One of the simplest ways to implement a CDC solution in both MySQL and Postgres is by using update timestamps. We can then either build bespoke solutions to poll the database for any new records and write them to a target system or a CSV file to be processed later.

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MySQL Kafka AWS Database 52

Netflix Tech

OCTOBER 28, 2021

Interview with Pallavi Phadnis This post is part of our “ Data Engineers of Netflix ” series, where our very own data engineers talk about their journeys to Data Engineering @ Netflix. In this post, Pallavi talks about her journey to Netflix and the challenges that keep the work interesting. Data Engineers of Netflix?—?Interview

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Data Engineering Data Engineer Engineering Software Engineer 69

Databand.ai

DECEMBER 13, 2022

Notably, Charles combines his data engineering experience with a background in business and entrepreneurship, having previously worked as a business and data analyst and earning a Master of Liberal Arts Degree in Psychology from Harvard Extension School and a Certificate in Entrepreneurship Essentials from Harvard Business School Online.

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Data Engineering Data Engineer Engineering AWS 52

Pinterest Engineering

AUGUST 18, 2022

Ankita Girish Wagh | Senior Software Engineer, Storage and Caching Introduction and Motivation At Pinterest, HBase is one of the most critical storage backends, powering many online storage services like Zen (graph database), UMS (wide column datastore), and Ixia (near real time secondary indexing service). Do a validation of both data sets.

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Christophe Blefari

MARCH 15, 2024

Saying mainly that " Sora is a tool to extend creativity " Last point Mira has been mocked and criticised online because as a CTO she wasn't able to say on which public / licensed data Sora has been trained on. PyData is coming to Paris in 2024 — The CFP is open and I submitted a talk there about yato.

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Metadata Datasets Data Data Warehouse 272

Knowledge Hut

JANUARY 16, 2024

The avenues to acquire the essential skills for a career in ML are plentiful, ranging from Machine Learning online courses and certifications to formal degree programs. Machine learning drives advancements in image and speech recognition, Natural Language Processing (NLP), recommendation systems, and applications like fraud detection.

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Machine Learning Engineering Programming Language Algorithm 98

Rockset

FEBRUARY 24, 2023

Introduction Let’s get this out of the way at the beginning: understanding effective streaming data architectures is hard, and understanding how to make use of streaming data for analytics is really hard. Kafka or Kinesis ? Stream processing or an OLAP database? What Is Streaming Data?

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Kafka AWS Amazon Web Services Programming Language 52

Scott Logic

NOVEMBER 6, 2023

In this post we’ll take a whistle-stop tour around the topic of data, going from sources and types through to use cases and the technologies involved in processing data. Often this must be traded off against accuracy or require multiple piplines – see literature around streaming watermarks and the Lambda and Kappa architectures.

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LinkedIn Engineering

JUNE 26, 2023

For example, developers can provision Kafka topics, Espresso tables, Venice stores and more via Nuage , our internal cloud-like infra management platform. For streaming data pipelines, this involves writing stream processing jobs. A number of Samza and Beam jobs exist for such purposes.

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Data Pipeline Kafka MySQL SQL 112

AltexSoft

OCTOBER 21, 2022

Kafka can continue the list of brand names that became generic terms for the entire type of technology. Similar to Google in web browsing and Photoshop in image processing, it became a gold standard in data streaming, preferred by 70 percent of Fortune 500 companies. What is Kafka? What Kafka is used for.

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Cloudera

SEPTEMBER 1, 2020

Live data-streaming offers businesses exciting new opportunities to transform the way they operate, leveraging real-time insights to drive better decision making and enhance operational efficiency. If you missed Part 1 of our Q&A, you can catch-up on it here , Part II is available here.

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Confluent

MARCH 4, 2019

A trend often seen in organizations around the world is the adoption of Apache Kafka ® as the backbone for data storage and delivery. We need something that does not only store data but processes events as they happen. Cloud is one of the key drivers for innovation. Journey from mainframe to cloud.

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ProjectPro

DECEMBER 28, 2021

Managing, processing, and streamlining large datasets in real-time is a key functionality of big data analytics in an enterprise to enhance decision-making. Table of Contents What is Spark streaming? Kafka Stream vs. Spark Streaming What is Spark streaming? billion by 2030.

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Knowledge Hut

DECEMBER 26, 2023

Data Engineering is typically a software engineering role that focuses deeply on data – namely, data workflows, data pipelines, and the ETL (Extract, Transform, Load) process. Using database tools, they create a robust architecture and later implement the process to develop the database from zero. What is Data Science?

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Pinterest Engineering

MAY 2, 2023

At Pinterest, most of our streaming jobs are built on top of Apache Flink , because Flink is a mature streaming framework with a lot of adoption in the industry. However, when we process a new event for a user, we do not want to read the existing N events, update them, and then write them all back to the respective dataset.

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Lambda Architecture Datasets Software Engineer Software Engineering 65

Confluent

MAY 9, 2019

Storing events in a stream and connecting streams via stream processors provide a generic, data-centric, distributed application runtime that you can use to build ETL, event streaming applications, applications for recording metrics and anything else that has a real-time data requirement. Four pillars of event streaming.

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Data Engineering Weekly

JANUARY 29, 2023

link] Part 1: [link] LucianoSphere: Build custom-informed GPT-3-based chatbots for your website with very simple code ChatGPT is the talk of the town; I found this article an exciting one to build custom GPT-3-based chatbots. Upsolver SQLake lets you process fast-moving data by simply writing a SQL query.

Data Engineering 52

Data Engineering Data Engineer Engineering Deep Learning 52

Data Engineering Weekly

JANUARY 8, 2023

Editor’s Note: State Of Data 2023 Conference - 18-Jan-2023 The team Seattle Data Guy is running an excellent day-track online conference, “ The State of Data 2023 ” I’m giving a talk on “The Functional Data Engineering - A Blueprint.” Streaming plus batch unified in a single platform.

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Data Engineering Data Engineer Engineering Pipeline-centric 40

Rockset

DECEMBER 9, 2019

The raw data is consistently added to the staging area and then picked up and processed by downstream processes. It continuously ingests raw data from multiple sources--data lakes, data streams, databases--into its storage layer and allows fast SQL access from both visualisation tools and analytic applications.

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Data Engineering Data Engineer Raw Data Engineering 40

Rockset

SEPTEMBER 13, 2022

This functionality is typically implemented by databases that specialize in online transactional processing (OLTP) workflows that emphasize many concurrent operations against a small number of rows. Many times, we try to handle both patterns with the same database and deal with the inconsistent performance as our application scales.

SQL 52

SQL Database Relational Database AWS 52

Rockset

DECEMBER 19, 2023

In his expert opinion, he further delineates a recommender system into an 8-step process, as follows: 8-steps Recommendation Process The retrieval or candidate generation stage is expanded into two steps: Retrieval and Filtering. The focus is on recall — ensuring that the pool includes a broad range of potentially relevant items.

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Rockset

JULY 25, 2019

The main characteristic that distinguishes operational analytics from other types of analytics is that it is “analytics on the fly," which means that signals emanating from the various parts of a business are processed in real-time to feed back into instant decision making for the business. This is another form of operational analytics.

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Software Engineer Software Engineering Engineering PostgreSQL 40

Confluent

SEPTEMBER 12, 2019

When Apache Kafka ® consumer group rebalancing clicks, you feel good. This is one of those intellectual influences that sometimes passes beyond notice, but it’s something that’s definitely happening with event streaming. For me, and I think for you, technology is cool by itself. I love being able to witness this kind of transition.

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Kafka ETL System Architecture Retail 10

Confluent

APRIL 2, 2019

Includes free forever Confluent Platform on a single Apache Kafka ® broker, improved Control Center functionality at scale and hybrid cloud streaming. the event streaming platform built by the original creators of Apache Kafka. Confluent Platform now available “free forever” on a single Kafka broker.

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Kafka Java Cloud Metadata 21

Confluent

AUGUST 19, 2019

This post specifically outlines the process by which we verify partner integrations, and is a means of letting the world know about our partner’s contributions to our connector ecosystem. It points to best practices for anyone writing Kafka Connect connectors. Over the years, we’ve since seen wide adoption of Kafka Connect.

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Programming Kafka Database-centric MongoDB 15

ProjectPro

NOVEMBER 7, 2016

We will also look at how each component in the Hadoop ecosystem plays a significant role in making Hadoop efficient for big data processing. These frameworks achieve this feat through distributed processing of the datasets across clusters of computers. The answer is that these tech giants use frameworks like Apache Hadoop.

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ProjectPro

AUGUST 21, 2015

Hadoop vs RDBMS Criteria Hadoop RDBMS Datatypes Processes semi-structured and unstructured data. Hadoop vs RDBMS Criteria Hadoop RDBMS Datatypes Processes semi-structured and unstructured data. Processes structured data. Walmart observed a significant 10% to 15% increase in online sales for $1 billion in incremental revenue.

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ProjectPro

APRIL 4, 2015

” Image Credit: mapr.com During March 2014, there were approximately 17,000 Hadoop Developer jobs advertised online. With the help of our best in class Hadoop faculty, we have gathered top Hadoop developer interview questions that will help you get through your next Hadoop job interview.

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Hadoop Big Data Recruitment Java 40

Rockset

DECEMBER 9, 2021

Remember when you shopped online and it took a week for your packages to arrive -- and you were fine with it? Online shoppers like relevant product recommendations, but they love when they are offered discounts and bundles for them. Massive , often bursty data streams. Change data capture (CDC) streams.

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Transportation BI SQL Data Warehouse 52

LinkedIn Engineering

DECEMBER 8, 2022

In this post, we will talk about Hosted Search, our new search solution that allows product developers to integrate search functionality with minimal onboarding and no maintenance or operational overhead, allowing them to instead focus on their products and what they care about most: creating value for our members.

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Monte Carlo

SEPTEMBER 12, 2023

Founded in late 2019, the livestream shopping platform Whatnot has grown to become one of the largest online marketplaces for collectibles in the U.S. Whatnot brings together commerce and entertainment in categories like trading cards, sports cards, and fashion, to video games, streetwear, and beyond. Think Twitch meets eBay. Let’s dive in.

Machine Learning 52

Machine Learning Data Entertainment SQL 52

Rockset

APRIL 15, 2022

Out-of-order data are time-stamped events that for a number of reasons arrive after the initial data stream has been ingested by the receiving database or data warehouse. Ever since there has been streaming data, there has been out-of-order data. So why are their analytics still crawling through in batches instead of real time?

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Scott Logic

NOVEMBER 14, 2023

Rather, I am talking here about asynchronously distributing data to other services that maintain their own copy of the data in order to do their work or where we want to emit and distribute events for other services to process. We’ll provide examples of each and discuss the tradeoffs that must be made.

Technology 52

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AltexSoft

MARCH 30, 2023

The lakehouse platform was founded by the creators of Apache Spark , a processing engine for big data workloads. Databricks architecture Databricks provides an ecosystem of tools and services covering the entire analytics process — from data ingestion to training and deploying machine learning models. Delta Lake integrations.

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Scala Data Lake BI Google Cloud 64