Pinterest Engineering

NOVEMBER 7, 2023

Jeff Xiang | Software Engineer, Logging Platform Vahid Hashemian | Software Engineer, Logging Platform Jesus Zuniga | Software Engineer, Logging Platform At Pinterest, data is ingested and transported at petabyte scale every day, bringing inspiration for our users to create a life they love.

Kafka 111

Kafka Java Software Engineer Software Engineering 111

Cloudera

SEPTEMBER 28, 2020

The customer also wanted to utilize the new features in CDP PvC Base like Apache Ranger for dynamic policies, Apache Atlas for lineage, comprehensive Kafka streaming services and Hive 3 features that are not available in legacy CDH versions. Lineage and chain of custody, advanced data discovery and business glossary. Kafka, SRM, SMM.

Cloud 132

Cloud Kafka Professional Services Metadata 132

Knowledge Hut

APRIL 25, 2023

An end-to-end Data Science pipeline starts from business discussion to delivering the product to the customers. One of the key components of this pipeline is Data ingestion. It helps in integrating data from multiple sources such as IoT, SaaS, on-premises, etc., What is Data Ingestion?

Data Ingestion 52

Data Ingestion Lambda Architecture Raw Data Data Science 52

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 105

Kafka Data Ingestion Datasets Architecture 105

Rockset

MAY 3, 2023

To find out, we decided to test the streaming ingestion performance of Rockset’s next generation cloud architecture and compare it to open-source search engine Elasticsearch , a popular sink for Apache Kafka. For this benchmark, we evaluated Rockset and Elasticsearch ingestion performance on throughput and data latency.

Data Ingestion 59

Data Ingestion Kafka Database Architecture 59

Data Engineering Weekly

MAY 16, 2023

In the second part, we will focus on architectural patterns to implement data quality from a data contract perspective. Why is Data Quality Expensive? I won’t bore you with the importance of data quality in the blog. In the 'Write' stage, we capture the computed data in a log or a staging area.

Engineering 110

Engineering Kafka Data Pipeline Data Warehouse 110

Snowflake

JUNE 13, 2024

But at Snowflake, we’re committed to making the first step the easiest — with seamless, cost-effective data ingestion to help bring your workloads into the AI Data Cloud with ease. Like any first step, data ingestion is a critical foundational block. Ingestion with Snowflake should feel like a breeze.

Data Ingestion 91

Data Ingestion MySQL PostgreSQL Data Pipeline 91

Confluent

MAY 22, 2019

In light of this, we’ll share an emerging machine-to-machine (M2M) architecture pattern in which MQTT, Apache Kafka ® , and Scylla all work together to provide an end-to-end IoT solution. Sensors generate data points while actuators are mechanical components that may be controlled through commands. What is Apache Kafka?

Kafka 98

Kafka Google Cloud NoSQL Entertainment 98

Cloudera

APRIL 20, 2021

A modern streaming architecture consists of critical components that provide data ingestion, security and governance, and real-time analytics. The three fundamental parts of the architecture are: Data ingestion that acquires the data from different streaming sources and orchestrates and augments the data from other sources.

Kafka 96

Kafka Hospitality Retail Data Ingestion 96

Rockset

OCTOBER 11, 2022

In this blog, we’ll compare and contrast how Elasticsearch and Rockset handle data ingestion as well as provide practical techniques for using these systems for real-time analytics. Or, they can periodically scan their relational database to get access to the most up to date records and reindex the data in Elasticsearch.

Data Ingestion 52

Data Ingestion Kafka Relational Database PostgreSQL 52

Cloudera

FEBRUARY 10, 2022

Modern applications often provide streaming interfaces to send transaction data in real-time to external systems for analysis. Apache Kafka deployments are commonly used to buffer these messages for downstream consumption. Data Ingest for Microsoft Sentinel .

Cloud 116

Cloud Kafka AWS Data Ingestion 116

Christophe Blefari

MARCH 4, 2023

I'll try to think about it in the following weeks to understand where I go for the third year of the newsletter and the blog. Ensuring Data Consistency Across Replicas — Mixpanel details how they ensure that different zones Kafka consumers are writing the data in the same manner. So thank you for that.

Machine Learning 130

Machine Learning AWS Data Data Lake 130

Cloudera

JUNE 7, 2021

We think that this is a good validation of our data-in-motion philosophy that a streaming architecture is made up of needs across data ingestion , messaging and analytics and in our case, this is powered by Apache NiFi, Apache Kafka and Apache Flink. Download The Forrester Wave : Streaming Analytics, Q2 2021 today.

Kafka 104

Kafka Data Ingestion Cloud Architecture 104

Confluent

JULY 3, 2019

From a data perspective, the World Cup represents an interesting source of information. The idea in this blog post is to mix information coming from two distinct channels: the RSS feeds of sport-related newspapers and Twitter feeds of the FIFA Women’s World Cup. Ingesting Twitter data. connector.state]. Transfermarkt.

Data Analysis 21

Data Analysis Kafka Datasets Java 21

LinkedIn Engineering

OCTOBER 19, 2023

To enable the ingestion and real-time processing of enormous volumes of data, LinkedIn built a custom stream processing ecosystem largely with tools developed in-house (and subsequently open-sourced). In 2010, they introduced Apache Kafka , a pivotal Big Data ingestion backbone for LinkedIn’s real-time infrastructure.

Process 119

Process Lambda Architecture Kafka Machine Learning 119

Cloudera

JANUARY 26, 2021

Use Case 1: NiFi pulling data from Kafka and pushing it to a file system (like HDFS). The Kafka coordinator, for the specified Consumer Group ID, will rebalance the existing topic partitions across the consumers from both HDF and CFM clusters. There should be no data ingested in HDF, only CFM.

Kafka 82

Kafka Hadoop Data Ingestion Utilities 82

Cloudera

FEBRUARY 9, 2021

Today’s customers have a growing need for a faster end to end data ingestion to meet the expected speed of insights and overall business demand. This ‘need for speed’ drives a rethink on building a more modern data warehouse solution, one that balances speed with platform cost management, performance, and reliability.

Data Warehouse 73

Data Warehouse Cloud Kafka Cloud Storage 73

Cloudera

MARCH 31, 2021

One of our customers, Commerzbank, has used the CDP Public Cloud trial to prove that they can combine both Google Cloud and CDP to accelerate their migration to Google Cloud without compromising data security or governance. . Data Preparation (Apache Spark and Apache Hive) .

Google Cloud 95

Google Cloud Cloud Amazon Web Services Cloud Storage 95

Christophe Blefari

JANUARY 20, 2024

The main difference between both is the fact that your computation resides in your warehouse with SQL rather than outside with a programming language loading data in memory. In this category I recommend also to have a look at data ingestion (Airbyte, Fivetran, etc.), Understand Change Data Capture — CDC.

Data Engineering 130

Data Engineering Data Engineer Engineering Hadoop 130

Cloudera

JUNE 28, 2022

In a previous blog of this series, Turning Streams Into Data Products , we talked about the increased need for reducing the latency between data generation/ingestion and producing analytical results and insights from this data. This blog will be published in two parts.

Process 86

Process Kafka SQL Machine Learning 86

Cloudera

FEBRUARY 4, 2019

Cloudera DataFlow (CDF) is a scalable, real-time streaming data platform that collects, curates, and analyzes data so customers gain key insights for immediate actionable intelligence. CDF, as an end-to-end streaming data platform, emerges as a clear solution for managing data from the edge all the way to the enterprise.

Data Ingestion 73

Data Ingestion Retail Kafka Data Lake 73

Snowflake

OCTOBER 16, 2024

For organizations who are considering moving from a legacy data warehouse to Snowflake, are looking to learn more about how the AI Data Cloud can support legacy Hadoop use cases, or are struggling with a cloud data warehouse that just isn’t scaling anymore, it often helps to see how others have done it.

Digital Media 82

Digital Media Media Data Lake Data Warehouse 82

Cloudera

AUGUST 26, 2020

All of these happen continuously and repetitively on a daily basis, amounting to petabytes worth of information and data. This requires massive amounts of data ingestion, messaging, and processing within a data-in-motion context. From a data ingestion standpoint, NiFi is designed for this purpose.

Banking 85

Banking Data Ingestion Kafka Data Lake 85

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 . Read about Building a Scalable Process Using NiFi, Kafka, and HBase on CDP.

Database 84

Database Machine Learning Kafka Data Lake 84

Netflix Tech

MARCH 25, 2019

We adopted the following mission statement to guide our investments: “Provide a complete and accurate data lineage system enabling decision-makers to win moments of truth.” Nonetheless, Netflix data landscape (see below) is complex and many teams collaborate effectively for sharing the responsibility of our data system management.

Building 90

Building Metadata Transportation Data Ingestion 90

Rockset

JULY 28, 2022

CDC enables true real-time analytics on your application data, assuming the platform you send the data to can consume the events in real time. Options For Change Data Capture on MongoDB Apache Kafka The native CDC architecture for capturing change events in MongoDB uses Apache Kafka.

MongoDB 52

MongoDB Kafka NoSQL Data Lake 52

Cloudera

JULY 21, 2022

Druid’s native support for ingesting data from Apache Kafka allows it to stream data from Cloudera DataFlow to Rill’s fully managed Druid service. Data is made queryable in real time. The Druid native Kafka indexing service features: Pull-based ingestion. Exactly once support.

BI 87

BI Digital Media Data Warehouse Kafka 87

Cloudera

FEBRUARY 9, 2021

Cloudera Operational Database is now available in three different form-factors in Cloudera Data Platform (CDP). . If you are new to Cloudera Operational Database, see this blog post. In this blog post, we’ll look at both Apache HBase and Apache Phoenix concepts relevant to developing applications for Cloudera Operational Database.

Database 104

Database Java SQL Data Ingestion 104

Snowflake

JUNE 4, 2024

To make it easier for you to have better visibility, control and optimization of your Snowflake spend, Snowflake recently added new capabilities to the generally available Cost Management Interface that you can learn more about in this blog. Getting data ingested now only takes a few clicks, and the data is encrypted.

Government 85

Government Data Ingestion Data PostgreSQL 85

Data Engineering Weekly

SEPTEMBER 11, 2023

Data Engineering Weekly Is Brought to You by RudderStack RudderStack Profiles takes the SaaS guesswork and SQL grunt work out of building complete customer profiles so you can quickly ship actionable, enriched data to every downstream team. The blog narrates the key concepts of the Kimball model and a modern outlook on the concepts.

Data Engineering 62

Data Engineering Data Engineer Engineering Kafka 62

Data Engineering Weekly

APRIL 21, 2024

The blog narrates how Chronon fits into Stripe’s online and offline requirements. link] Grab: Enabling near real-time data analytics on the data lake Apache Hudi’s Merge On Read (MoR) is a game changer in developing low-latency analytics on top of the data lake.

Data Engineering 52

Data Engineering Data Engineer Engineering Medical 52

Cloudera

JANUARY 11, 2021

Why use NiFi when one can use Kafka as an entry point to the cluster. Here are ways you can determine when to use NiFi and when to use Kafka. . Kafka is designed for stream-oriented use cases primarily for smaller files, and ingesting large files is not a good idea. Still, it requires Java to be available on the host.

Kafka 62

Kafka Java Data Cleanse Datasets 62

Edureka

FEBRUARY 9, 2023

As a certified Azure Data Engineer, you have the skills and expertise to design, implement and manage complex data storage and processing solutions on the Azure cloud platform. As the demand for data engineers grows, having a well-written resume that stands out from the crowd is critical.

Data Engineering 52

Data Engineering Data Engineer Engineering Amazon Web Services 52

Rockset

NOVEMBER 6, 2019

With event-driven architectures powered by systems like Apache Kafka becoming more prominent, there are now many applications in the modern software stack that make use of events and messages to operate effectively. Types of Event Data Applications emit events that correspond to important actions or state changes in their context.

Kafka 40

Kafka Data Lake SQL Hadoop 40

Edureka

AUGUST 23, 2024

The AWS training will prepare you to become a master of the cloud, storing, processing, and developing applications for the cloud data. Amazon AWS Kinesis makes it possible to process and analyze data from multiple sources in real-time. What can I do with Kinesis Data Streams? Both Kinesis and Kafka are scalable.

AWS 52

AWS Kafka Amazon Web Services Medical 52

Cloudera

AUGUST 21, 2020

Over time, additional use cases and functions expanded from original EDW and Data Lake related functions to support increasing demands from the business. More sources, data, and functionality were added to these platforms, expanding their value but adding to the complexity, such as: Streaming data ingestion. . Let’s Talk!

Hadoop 77

Hadoop Big Data Cloud Kafka 77

Pinterest Engineering

AUGUST 18, 2022

It involves data migration from HBase to TiDB, design and implementation of Unified Storage Service, API migration from Ixia/Zen/UMS to Unified Storage Service, and Offline Jobs migration from HBase/Hadoop ecosystem to TiSpark ecosystem while maintaining our availability and latency SLA. This strategy is the simplest and easiest to implement.

Data Ingestion 52

Data Ingestion Hadoop Database Kafka 52