Confluent

FEBRUARY 6, 2019

Building a scalable, reliable and performant machine learning (ML) infrastructure is not easy. It allows real-time data ingestion, processing, model deployment and monitoring in a reliable and scalable way. It allows real-time data ingestion, processing, model deployment and monitoring in a reliable and scalable way.

Machine Learning 106

Machine Learning Python Kafka Java 106

Confluent

JUNE 12, 2019

Confluent Cloud, a fully managed event cloud-native streaming service that extends the value of Apache Kafka ® , is simple, resilient, secure, and performant, allowing you to focus on what is important—building contextual event-driven applications, not infrastructure. KSQL and Kafka Connect example. and Helm/Tiller 2.8.2+

Cloud 92

Cloud Kafka Healthcare Software Engineer 92

Cloudera

OCTOBER 28, 2020

Cloudera services logs offer a breadth of information to assist in cluster maintenance; from assisting in security checks, auditing tasks, and validation for performance tuning and testing tasks – to name a few. . However, log records generated by these services do not hold the same value for every organisation. More processors.

Kafka 63

Kafka SQL Professional Services Consulting 63

Rockset

FEBRUARY 7, 2020

In this IoT example, we examine how to enable complex analytic queries on real-time Kafka streams from connected car sensors. Understanding IoT and Connected Cars With an increasing number of data-generating sensors being embedded in all manner of smart devices and objects, there is a clear, growing need to harness and analyze IoT data.

Kafka 40

Kafka Transportation Data SQL 40

Monte Carlo

JULY 7, 2022

At the time, he was one of a very few people using the term “data contract.” Not only was he using the term, but his implementation was generating results. Data contracts have since became one of the most discussed topics in data engineering. Forward: A Data Engineering Movement Afoot? Or is it a passing fad?

Data Warehouse 52

Data Warehouse Software Engineer Software Engineering Data 52

Knowledge Hut

JANUARY 16, 2024

In this comprehensive blog, we delve into the foundational aspects and intricacies of the machine learning landscape. Another study from Indeed, the online job portal giant, revealed that machine learning engineers, data scientists, and software engineers with these skills are topping the list of most in-demand professionals.

Machine Learning 98

Machine Learning Engineering Programming Language Algorithm 98

LinkedIn Engineering

DECEMBER 20, 2023

As part of this responsibility, we are constantly looking for innovative ways to prevent policy-violating behavior such as harassment, spamming, fake accounts, and other activities that undermine the positive and respectful interactions our community strives to uphold. We need systems to ingest, process, and analyze the data efficiently.

Building 91

Building Algorithm Kafka Machine Learning 91

Confluent

MAY 21, 2019

At first, you may think to use REST APIs—most programming languages have frameworks that make it very easy to implement REST APIs, so this is a common first choice. If you evaluate architectures by how easy they are to extend, then this architecture gets an A+. An example can be the backend architecture for an insurance product.

Kafka 110

Kafka Insurance Architecture Metadata 110

Pinterest Engineering

NOVEMBER 22, 2023

Goku is our in-house time series database providing cost efficient and low latency storage for metrics data. In the first blog, we will share a short summary on the GokuS and GokuL architecture, data format for Goku Long Term, and how we improved the bootstrap time for our storage and serving components.

Database 93

Database Bytes Kafka Architecture 93

Confluent

JULY 10, 2019

As discussed in part 2, I created a GitHub repository with Docker Compose functionality for starting a Kafka and Confluent Platform environment, as well as the code samples mentioned below. We are using the Spock framework for writing our test specifications. gradlew composeUp. text1 : defaultvalue } [.] }.

Kafka 86

Kafka Java Bytes SQL 86

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. What is Data Science? What are the roles and responsibilities of a Data Engineer? What is the need for Data Science?

Data Engineering 98

Data Engineering Data Engineer Engineering Pipeline-centric 98

ProjectPro

OCTOBER 31, 2016

Having complete diverse big data hadoop projects at ProjectPro, most of the students often have these questions in mind – “How to prepare for a Hadoop job interview?” Assuming initial data size is 600 TB. How will you estimate the number of data nodes (n)? were excluded.).

Hadoop 52

Hadoop Big Data Utilities NoSQL 52

DataKitchen

APRIL 13, 2021

Read the complete blog below for a more detailed description of the vendors and their capabilities. This is not surprising given that DataOps enables enterprise data teams to generate significant business value from their data. Testing and Data Observability. Download the 2021 DataOps Vendor Landscape here.

Consulting 123

Consulting Machine Learning Data Science Data Pipeline 123

Data Engineering Weekly

DECEMBER 11, 2022

Data Engineering Weekly Is Brought to You by RudderStack RudderStack provides data pipelines that make it easy to collect data from every application, website, and SaaS platform, then activate it in your warehouse and business tools. Sign up free to test out the tool today. Is Data Catalog a product or a feature?

Data Engineering 52

Data Engineering Data Engineer Engineering Kafka 52

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 93

Kafka Hadoop ETL Tools Big Data 93

dbt Developer Hub

NOVEMBER 3, 2022

Here are a few things we’ll address: Why you may want to use an architecture like this How to structure your event messages How to use dbt macros to make it easy to ingest new event streams Event Streams at Merit ​ At Merit, we’re building the leading verified identity platform. One key focus of our platform is data quality.

Kafka 52

Kafka ETL Tools BI Database 52

Rockset

MAY 3, 2023

Rockset is a database used for real-time search and analytics on streaming data. In scenarios involving analytics on massive data streams, we’re often asked the maximum throughput and lowest data latency Rockset can achieve and how it stacks up to other databases. lower latency than Elasticsearch for streaming data ingestion.

Data Ingestion 59

Data Ingestion Kafka Database Architecture 59

Airbnb Tech

AUGUST 4, 2021

Gaining trust in data with extensive data quality, accuracy and anomaly checks As shared in our Data Quality Initiative post , Airbnb has embarked on a project of massive scale to ensure trustworthy data across the company.

Data Pipeline 52

Data Pipeline Data Engineering Data Engineer Data 52

AltexSoft

NOVEMBER 7, 2022

You can hardly compare data engineering toil with something as easy as breathing or as fast as the wind. The platform went live in 2015 at Airbnb, the biggest home-sharing and vacation rental site, as an orchestrator for increasingly complex data pipelines. How data engineering works. What is Apache Airflow?

PostgreSQL 52

PostgreSQL Metadata Python MySQL 52

Pinterest Engineering

MAY 2, 2023

So our user sequence real-time indexing pipeline is composed of a Flink job that reads the relevant events as they come into our Kafka streams, fetches the desired features for each event from our feature services, and stores the enriched events into our KV store system. Handles out-of-order inserts.

Lambda Architecture 65

Lambda Architecture Datasets Software Engineer Software Engineering 65

Confluent

MAY 29, 2019

In part 1 , we discussed an event streaming architecture that we implemented for a customer using Apache Kafka ® , KSQL from Confluent, and Kafka Streams. In part 3, we’ll explore using Gradle to build and deploy KSQL user-defined functions (UDFs) and Kafka Streams microservices. Sample repository. gradlew composeUp.

Kafka 94

Kafka Management Bytes SQL 94

Cloudera

OCTOBER 22, 2021

With the latest release of Cloudera DataFlow for the Public Cloud (CDF-PC) we added new CLI capabilities that allow you to automate data flow deployments, making it easier than ever before to incorporate Apache NiFi flow deployments into your CI/CD pipelines. Understanding the data flow development lifecycle.

Cloud 89

Cloud Data Accessible Accessibility 89

Data Engineering Weekly

DECEMBER 4, 2022

Data Engineering Weekly Is Brought to You by RudderStack RudderStack provides data pipelines that make it easy to collect data from every application, website, and SaaS platform, then activate it in your warehouse and business tools. Sign up free to test out the tool today. You still require cleaning it up.

Data Engineering 52

Data Engineering Data Engineer Engineering Data Lake 52

ProjectPro

AUGUST 24, 2021

Most of us have observed that data scientist is usually labeled the hottest job of the 21st century, but is it the only most desirable job? For beginners or peeps who are utterly new to the data industry, Data Scientist is likely to be the first job title they come across, and the perks of being one usually make them go crazy.

Data Engineering 52

Data Engineering Data Engineer Coding Project 52

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. Why a payment system, you ask?

Kafka 92

Kafka Pipeline-centric Architecture Database-centric 92

ProjectPro

NOVEMBER 22, 2021

According to the Businesswire report , the worldwide big data as a service market is estimated to grow at a CAGR of 36.9% This clearly indicates that the need for Big Data Engineers and Specialists would surge in the future years. It has benefited the company in a variety of ways. Is PySpark a Big Data tool?

Hadoop 52

Hadoop Python Datasets Metadata 52

ProjectPro

JUNE 29, 2021

Your search for Apache Kafka interview questions ends right here! Let us now dive directly into the Apache Kafka interview questions and answers and help you get started with your Big Data interview preparation! How to study for Kafka interview? What is Kafka used for? What are main APIs of Kafka?

Kafka 40

Kafka Bytes Big Data Java 40

Rockset

FEBRUARY 14, 2020

I walk through an end to end integration of requesting data from the car, streaming it into a Kafka Topic and using Rockset to expose the data via its API to create real time visualisations in D3. Getting started with Kafka When starting with any new tool I find it best to look around and see the art of the possible.

Kafka 40

Kafka SQL Metadata Bytes 40

Confluent

OCTOBER 24, 2019

I’ve written an event sourcing bank simulation in Clojure (a lisp build for Java virtual machines or JVMs) called open-bank-mark , which you are welcome to read about in my previous blog post explaining the story behind this open source example. Either way, both are accomplished with event sourcing. The bank application.

Kafka 18

Kafka Java Banking Bytes 18

Confluent

SEPTEMBER 20, 2019

As a distributed system for collecting, storing, and processing data at scale, Apache Kafka ® comes with its own deployment complexities. To simplify all of this, different providers have emerged to offer Apache Kafka as a managed service. Before Confluent Cloud was announced , a managed service for Apache Kafka did not exist.

Kafka 21

Kafka Management Cloud AWS 21

Confluent

AUGUST 6, 2019

One of KSQL’s most powerful features is allowing users to build their own KSQL functions for processing real-time streams of data. The previous blog post How to Build a UDF and/or UDAF in KSQL 5.0 Unlike UDFs, which operate on a single row at a time, UDAFs can be used for computing aggregates against multiple rows of data.

Kafka 17

Kafka Java Coding Project 17

ProjectPro

NOVEMBER 7, 2016

This blog will give you an indepth insight into the architecture of hadoop and its major components- HDFS, YARN, and MapReduce. We will also look at how each component in the Hadoop ecosystem plays a significant role in making Hadoop efficient for big data processing. Understanding the Hadoop architecture now gets easier!

Hadoop 40

Hadoop Architecture IT Big Data 40

Confluent

AUGUST 1, 2019

The Kafka Streams API boasts a number of capabilities that make it well suited for maintaining the global state of a distributed system. At Imperva, we took advantage of Kafka Streams to build shared state microservices that serve as fault-tolerant, highly available single sources of truth about the state of objects in our system.

Kafka 20

Kafka Systems Building Metadata 20

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 Engineering 40

Data Engineering Data Engineer Engineering Hadoop 40

ProjectPro

APRIL 4, 2015

IT organizations from various domains are investing in big data technologies, increasing the demand for technically competent Hadoop developers. To build career as a Hadoop developer, one must be clear with Hadoop concepts and have a working knowledge of analysing data using MapReduce, Hive and Pig.

Hadoop 40

Hadoop Big Data Recruitment Datasets 40

ProjectPro

JULY 30, 2021

Data Description The dataset contains the following information about the products purchased by different users. Data Description: The data for this project has three sample images (jpg) and a video (mp4). Data Description: This project will use sample images and videos as input data.

Machine Learning 40

Machine Learning Project Deep Learning Banking 40

ProjectPro

MAY 31, 2021

Ace your big data interview by adding some unique and exciting Big Data projects to your portfolio. This blog lists over 20 big data projects you can work on to showcase your big data skills and gain hands-on experience in big data tools and technologies. Table of Contents What is a Big Data Project?

Big Data 52

Big Data Coding Project Hadoop 52