Aggregated Data, Blog and Kafka - Data Engineering Digest

The Good and the Bad of Apache Kafka Streaming Platform

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.

Kafka

Kafka Hadoop Big Data ETL Tools

Machine Learning with Python, Jupyter, KSQL and TensorFlow

Confluent

FEBRUARY 6, 2019

The blog posts How to Build and Deploy Scalable Machine Learning in Production with Apache Kafka and Using Apache Kafka to Drive Cutting-Edge Machine Learning describe the benefits of leveraging the Apache Kafka ® ecosystem as a central, scalable and mission-critical nervous system. For now, we’ll focus on Kafka.

Machine Learning

Machine Learning Python Kafka Java

Druid Deprecation and ClickHouse Adoption at Lyft

Lyft Engineering

NOVEMBER 29, 2023

In this particular blog post, we explain how Druid has been used at Lyft and what led us to adopt ClickHouse for our sub-second analytic system. Druid at Lyft Apache Druid is an in-memory, columnar, distributed, open-source data store designed for sub-second queries on real-time and historical data.

Kafka

Kafka Data Ingestion Architecture Datasets

Webinars

How to Achieve High-Accuracy Results When Using LLMs

MORE WEBINARS

Using other CDP services with Cloudera Operational Database

Cloudera

FEBRUARY 16, 2021

In the previous blog post , we looked at some of the application development concepts for the Cloudera Operational Database (COD). In this blog post, we’ll see how you can use other CDP services with COD. Integrated across the Enterprise Data Lifecycle . Cloudera Data Engineering to ingest bulk data and data from mainframes.

Database

Database Machine Learning Kafka Data Lake

Apache Kafka – Next Generation Distributed Messaging System

ProjectPro

JUNE 28, 2016

Apache Kafka is breaking barriers and eliminating the slow batch processing method that is used by Hadoop. This is just one of the reasons why Apache Kafka was developed in LinkedIn. Kafka was mainly developed to make working with Hadoop easier. This data is constantly changing, and is voluminous.

Kafka

Kafka Systems Hadoop Big Data

Building Real-time Machine Learning Foundations at Lyft

Lyft Engineering

JUNE 28, 2023

Our goal was to develop foundations that would enable the hundreds of ML developers at Lyft to efficiently develop new models and enhance existing models with streaming data. In this blog post, we will discuss what we built in support of that goal and some of the lessons we learned along the way.

Machine Learning

Machine Learning Building Kafka Metadata

Job Notifications in SQL Stream Builder

Cloudera

FEBRUARY 9, 2023

The sudden failing of a complex data pipeline can lead to devastating consequences — especially if it goes unnoticed. This is why we build job notifications functionality into SSB, to deliver maximum reliability in your complex real-time data pipelines.

SQL

SQL Kafka Aggregated Data Architecture

Building Trust and Combating Abuse On Our Platform

LinkedIn Engineering

DECEMBER 20, 2023

In this blog post, we discuss how we are harnessing AI to help us with abuse prevention and share an overview of our infrastructure and the role it plays in identifying and mitigating abusive behavior on our platform. To achieve this, we leverage Kafka messages, a robust and scalable event streaming platform.

Building

Building Algorithm Kafka Machine Learning

How Rockset Enables SQL-Based Rollups for Streaming Data

Rockset

AUGUST 30, 2021

Apache Kafka has made acquiring real-time data more mainstream, but only a small sliver are turning batch analytics, run nightly, into real-time analytical dashboards with alerts and automatic anomaly detection. But until this release, all these data sources involved indexing the incoming raw data on a record by record basis.

SQL

SQL Kafka MongoDB MySQL

Internal services pipeline in Analytics Platform

Picnic Engineering

SEPTEMBER 8, 2022

We use the RabbitMQ Source connector for Apache Kafka Connect. One may wonder why don’t we replace RabbitMQ with Apache Kafka everywhere? In order to answer the first question, we should take a closer look at the difference between RabbitMQ and Apache Kafka in terms of services parallelism.

Kafka

Kafka Metadata AWS Java

Addressing the Challenges of Sample Ratio Mismatch in A/B Testing

DoorDash Engineering

OCTOBER 17, 2023

We stream these events to Kafka and then store them in Snowflake. Users can query this data to troubleshoot their experiments. We then send this aggregated data to another Kafka topic. Next, we had to save the data that is aggregated by the time-window into a datastore. For this we used Apache Pinot.

Education

Education Kafka Algorithm Data Warehouse

Deployment of Exabyte-Backed Big Data Components

LinkedIn Engineering

DECEMBER 19, 2023

This framework operates on the scheduler, periodically polls relevant metrics, aggregates data, and determines which nodes have drifted. This process continuously sends metadata information to Kafka , including health reports and version data, among other details.

Big Data

Big Data Hadoop Metadata Data

Evolution of Streaming Pipelines in Lyft’s Marketplace

Lyft Engineering

SEPTEMBER 27, 2022

It produces high-quality signals and publishes them to Kafka topics. The second type of pipeline ingests Kafka topics and aggregates data into standard ML features. Get insights on how we overcame data skewness during our initial rollout. Learn more about various use cases of streaming at Lyft in this blog post.

Kafka

Kafka Aggregated Data Machine Learning Architecture

Data Pipeline- Definition, Architecture, Examples, and Use Cases

ProjectPro

DECEMBER 7, 2021

Data pipelines are a significant part of the big data domain, and every professional working or willing to work in this field must have extensive knowledge of them. You can use big-data processing tools like Apache Spark , Kafka , and more to create such pipelines.

Data Pipeline

Data Pipeline Architecture Kafka AWS

A Beginner’s Guide to Learning PySpark for Big Data Processing

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

Big Data Data Process Process Kafka

5 Steps for Migrating from Elasticsearch to Rockset for Real-Time Analytics

Rockset

NOVEMBER 1, 2022

This blog outlines best practices from customers I have helped migrate from Elasticsearch to Rockset , reducing risk and avoiding common pitfalls. In this blog, we distilled their migration journeys into 5 steps. We often see ingest queries aggregate data by time.

Database-centric

Database-centric SQL Pipeline-centric Aggregated Data

Azure Data Engineer Salary – How Much Can You Expect As An Azure Data Engineer?

Edureka

FEBRUARY 6, 2023

Azure Data Engineers are in high demand due to the growth of cloud-based data solutions. In this article, we will examine the duties of an Azure Data Engineer as well as the typical pay in this industry. Data engineers frequently work in groups and should enjoy collaborating with other data engineers.

Data Engineer

Data Engineer Data Engineering Engineering Amazon Web Services

How Klarna Scales Buy Now Pay Later with Real-Time Anomaly Detection

Rockset

FEBRUARY 16, 2024

In this blog, we’ll describe how Klarna implemented real-time anomaly detection at scale, halved the resolution time and saved millions of dollars using Rockset. Furthermore, Rockset’s ability to pre-aggregate data at ingestion time reduced the cost of storage and sped up queries, making the solution cost-effective at scale.

Architecture

Architecture SQL Data Warehouse Database

20+ Data Engineering Projects for Beginners with Source Code

ProjectPro

AUGUST 24, 2021

Data professionals who work with raw data like data engineers, data analysts, machine learning scientists , and machine learning engineers also play a crucial role in any data science project. And, out of these professions, this blog will discuss the data engineering job role. This is called Hot Path.

Data Engineer

Data Engineer Data Engineering Coding Project

Elasticsearch or Rockset for Real-Time Analytics: How Much Query Flexibility Do You Have?

Rockset

FEBRUARY 25, 2021

Rockset, on the other hand, provides full-featured SQL and an API endpoint interface that allows developers to quickly join across data sources like DynamoDB and Kafka. With the many data sources in today’s modern architecture, this can be difficult. From there, you can join and aggregate data without using complex code.

SQL

SQL Data Pipeline Kafka Database

20 Best Open Source Big Data Projects to Contribute on GitHub

ProjectPro

NOVEMBER 15, 2021

Table of Contents 20 Open Source Big Data Projects To Contribute How to Contribute to Open Source Big Data Projects? 20 Open Source Big Data Projects To Contribute There are thousands of open-source projects in action today. This blog will walk through the most popular and fascinating open source big data projects.

Big Data

Big Data Project Metadata Programming Language

How to Join Data in Elasticsearch vs Rockset

Rockset

DECEMBER 22, 2020

There are many blog posts detailing how to build an Express API, I’ll concentrate on what is required on top of this to make calls to Elasticsearch. To experience how Rockset provides full-featured SQL queries on complex, semi-structured data, you can get started with a free Rockset account.

SQL

SQL Data MongoDB Building

100+ Data Engineer Interview Questions and Answers for 2023

ProjectPro

JULY 27, 2021

This blog is your one-stop solution for the top 100+ Data Engineer Interview Questions and Answers. In this blog, we have collated the frequently asked data engineer interview questions based on tools and technologies that are highly useful for a data engineer in the Big Data industry.

Data Engineer

Data Engineer Data Engineering Engineering Hadoop

Accelerated integration of Eventador with Cloudera – SQL Stream Builder

Cloudera

MARCH 29, 2021

It offers a slick user interface for writing SQL queries to run against real-time data streams in Apache Kafka or Apache Flink. This enables developers, data analysts and data scientists to write streaming applications using just SQL. This allows users to run continuous queries on data streams over specific time windows.

SQL

SQL Scala Manufacturing Java

Handling Out-of-Order Data in Real-Time Analytics Applications

Rockset

APRIL 15, 2022

This is the second post in a series by Rockset's CTO Dhruba Borthakur on Designing the Next Generation of Data Systems for Real-Time Analytics. We'll be publishing more posts in the series in the near future, so subscribe to our blog so you don't miss them! Many (Kafka, Spark and Flink) were open source.

Analytics Application

Analytics Application Data Warehouse Kafka Database

Data Engineering Digest

The Good and the Bad of Apache Kafka Streaming Platform

Machine Learning with Python, Jupyter, KSQL and TensorFlow

Webinars

Trending Sources

Druid Deprecation and ClickHouse Adoption at Lyft

Webinars

Using other CDP services with Cloudera Operational Database

Apache Kafka – Next Generation Distributed Messaging System

Building Real-time Machine Learning Foundations at Lyft

Job Notifications in SQL Stream Builder

Building Trust and Combating Abuse On Our Platform

How Rockset Enables SQL-Based Rollups for Streaming Data

Internal services pipeline in Analytics Platform

Addressing the Challenges of Sample Ratio Mismatch in A/B Testing

Deployment of Exabyte-Backed Big Data Components

Evolution of Streaming Pipelines in Lyft’s Marketplace

Data Pipeline- Definition, Architecture, Examples, and Use Cases

A Beginner’s Guide to Learning PySpark for Big Data Processing

5 Steps for Migrating from Elasticsearch to Rockset for Real-Time Analytics

Azure Data Engineer Salary – How Much Can You Expect As An Azure Data Engineer?

How Klarna Scales Buy Now Pay Later with Real-Time Anomaly Detection

20+ Data Engineering Projects for Beginners with Source Code

Elasticsearch or Rockset for Real-Time Analytics: How Much Query Flexibility Do You Have?

20 Best Open Source Big Data Projects to Contribute on GitHub

How to Join Data in Elasticsearch vs Rockset

100+ Data Engineer Interview Questions and Answers for 2023

Accelerated integration of Eventador with Cloudera – SQL Stream Builder

Handling Out-of-Order Data in Real-Time Analytics Applications

Stay Connected