Workfall

FEBRUARY 28, 2023

In this blog, we will cover: What Is ChatGPT? The ChatGPT responses are generated in real-time, based on a combination of my training data and the specific input it receives from users. That said, it is constantly improving and evolving, as OpenAI updates its training data and algorithms to improve its accuracy and capabilities.

Datasets 62

Datasets Coding Algorithm Technology 62

Rockset

AUGUST 13, 2019

In a world where everyone is becoming an analyst , live dashboards surface up-to-date insights and operationalize real-time data to provide in-time decision-making support across multiple areas of an organization. It has the added benefit that many analysts at the company are already familiar with how to use the tool.

BI 40

BI NoSQL PostgreSQL AWS 40

Rockset

AUGUST 12, 2019

Real-time analytics is used by many organizations to support mission-critical decisions on real-time data. The real-time journey typically starts with live dashboards on real-time data and soon moves to automating actions on that data with applications like instant personalization, gaming leaderboards and smart IoT systems.

NoSQL 40

NoSQL AWS SQL Datasets 40

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.

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Kafka Architecture Algorithm Systems 102

Picnic Engineering

DECEMBER 19, 2023

In this blog, we’d like to give you a glimpse into some of the major developments in Picnic Tech in 2023. This approach not only helps in maintaining system stability but also in predicting potential issues, enabling proactive measures. Join us and have a read! January: Year of OpsEx and DevEx ?‍? The result?

Transportation 52

Transportation Pipeline-centric Database-centric Python 52

Confluent

FEBRUARY 27, 2019

Given that it is at a relatively early stage, developers are still trying to grok the best approach for each cloud vendor and often face the following question: Should I go cloud native with AWS Lambda, GCP functions, etc., The key to event-first systems design is understanding that a series of events captures behavior.

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Kafka AWS Architecture Cloud 109

ProjectPro

JANUARY 19, 2022

Planning to land a successful job as an Azure Data Engineer? Read this blog till the end to learn more about the roles and responsibilities, necessary skillsets, average salaries, and various important certifications that will help you build a successful career as an Azure Data Engineer.

Data Engineering 52

Data Engineering Data Engineer Engineering Scala 52

LinkedIn Engineering

JULY 27, 2023

Authors: Deven Walia, Vivek Subramaniam , Simon Desowza , and Karthik Subramanian Cloud services have completely changed the way we approach infrastructure management. However, the ease of these processes can lead to over-provisioning and under-utilization of cloud resources, resulting in increased operating expenses.

Metadata 75

Metadata Utilities Cloud Data Lake 75

Cloudera

JUNE 14, 2021

How to optimize an enterprise data architecture with private cloud and multiple public cloud options? As the inexorable drive to cloud continues, telecommunications service providers (CSPs) around the world – often laggards in adopting disruptive technologies – are embracing virtualization. The Surging Importance of Data.

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Telecommunication Cloud Finance Government 97

Rockset

OCTOBER 11, 2022

Introduction Managing streaming data from a source system, like PostgreSQL, MongoDB or DynamoDB, into a downstream system for real-time analytics is a challenge for many teams. For a system like Elasticsearch , engineers need to have in-depth knowledge of the underlying architecture in order to efficiently ingest streaming data.

Data Ingestion 52

Data Ingestion Kafka Relational Database PostgreSQL 52

Rockset

MAY 8, 2023

In this blog, we capture engineering stories from 5 early adopters of vector search- Pinterest, Spotify, eBay, Airbnb and Doordash- who have integrated AI into their applications. In the next sections, we’ll summarize 5 engineering blogs on vector search and highlight key implementation considerations. What is vector search?

Metadata 52

Metadata Algorithm Datasets Google Cloud 52

Cloudera

OCTOBER 25, 2022

Enabling data and analytics in the cloud allows you to have infinite scale and unlimited possibilities to gain faster insights and make better decisions with data. Cloud data lakehouses provide significant scaling, agility, and cost advantages compared to cloud data lakes and cloud data warehouses.

Cloud 52

Cloud AWS Data Lake Amazon Web Services 52

Rockset

FEBRUARY 24, 2022

About Using Event Data Events are messages that are sent by a system to notify operators or other systems about a change in its domain. About Using Event Data Events are messages that are sent by a system to notify operators or other systems about a change in its domain.

AWS 52

AWS Amazon Web Services Kafka SQL 52

ProjectPro

JANUARY 31, 2022

As the demand for big data grows, an increasing number of businesses are turning to cloud data warehouses. The cloud is the only platform to handle today's colossal data volumes because of its flexibility and scalability. Launched in 2014, Snowflake is one of the most popular cloud data solutions on the market.

Architecture 52

Architecture IT Data Warehouse Amazon Web Services 52

phData: Data Engineering

JANUARY 3, 2022

DataOps: What Is It, Core Principles, and Tools For Implementation Nick Goble January 3, 2022 When building a successful company, it’s critical to have a strategy around how you build and scale your business from a technology and data perspective. Table of Contents How Impactful is Your Data? What’s Data Strategy? No problem!

IT 52

IT AWS Software Engineer Software Engineering 52

ProjectPro

NOVEMBER 15, 2021

The adaptability and technical superiority of such open-source big data projects make them stand out for community use. As per the surveyors, Big data (35 percent), Cloud computing (39 percent), operating systems (33 percent), and the Internet of Things (31 percent) are all expected to be impacted by open source shortly.

Big Data 52

Big Data Project Metadata Programming Language 52

Confluent

SEPTEMBER 20, 2019

As a distributed system for collecting, storing, and processing data at scale, Apache Kafka ® comes with its own deployment complexities. Cloud Memorystore, Amazon ElastiCache, and Azure Cache), applying this concept to a distributed streaming platform is fairly new. But deployment is just the tip of the iceberg.

Kafka 21

Kafka Management Cloud AWS 21

ProjectPro

JUNE 29, 2021

This blog brings you the most popular Kafka interview questions and answers divided into various categories such as Apache Kafka interview questions for beginners, Advanced Kafka interview questions/Apache Kafka interview questions for experienced, Apache Kafka Zookeeper interview questions, etc. How to study for Kafka interview?

Kafka 40

Kafka Bytes Big Data Java 40

Rockset

NOVEMBER 23, 2021

We built Rockset with the mission to make real-time analytics easy and affordable in the cloud. We put our users first and obsess about helping our users achieve speed, scale and simplicity in their modern real-time data stack (some of which I discuss in depth below). Change data capture streams.

MongoDB 59

MongoDB Data Ingestion PostgreSQL SQL 59

AltexSoft

DECEMBER 15, 2021

On the surface, ML algorithms take the data, develop their own understanding of it, and generate valuable business insights and predictions — all without human intervention. The rest is done by data engineers, data scientists , machine learning engineers , and other high-trained (and high-paid) specialists. AutoML use cases.

Machine Learning 59

Machine Learning Deep Learning Algorithm Telecommunication 59

phData: Data Engineering

JULY 18, 2023

The Ultimate Modern Data Stack Migration Guide phData Marketing July 18, 2023 This guide was co-written by a team of data experts, including Dakota Kelley, Ahmad Aburia, Sam Hall, and Sunny Yan. Imagine a world where all of your data is organized, easily accessible, and routinely leveraged to drive impactful outcomes.

Data Warehouse 52

Data Warehouse Pipeline-centric Government Data 52

Scott Logic

NOVEMBER 14, 2023

In this post we’ll take a look at queues, logs and pub/sub systems in order to understand the options for sending data asynchronously between services. Introduction In any organisation there is a need to distribute data from a source system to other systems.

Technology 52

Technology Kafka AWS Data 52

Monte Carlo

MAY 17, 2023

Data observability, an organization’s ability to fully understand the health and quality of the data in their systems, has become one of the hottest technologies in modern data engineering. Table of Contents Core Data Observability Use Cases 1. Reduce The Amount Of Data Incidents 2. Validate Data 17.

Data 52

Data Data Pipeline Data Engineering Data Engineer 52

Monte Carlo

MAY 17, 2023

Data observability, an organization’s ability to fully understand the health and quality of the data in their systems, has become one of the hottest technologies in modern data engineering. Table of Contents Core Data Observability Use Cases 1. Reduce the amount of data incidents 2. Validate data 17.

Data Pipeline 52

Data Pipeline Data Data Engineering Data Engineer 52