Monte Carlo

MARCH 14, 2023

Data ingestion is the process of collecting data from various sources and moving it to your data warehouse or lake for processing and analysis. It is the first step in modern data management workflows. Table of Contents What is Data Ingestion? Decision making would be slower and less accurate.

Data Ingestion 52

Data Ingestion Data Warehouse Lambda Architecture Raw Data 52

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

Confluent

FEBRUARY 16, 2023

description: With real-time data ingestion, streaming, and storage capabilities, Apache Kafka can be used as a database with ksqlDB.

Kafka 72

Kafka Database Data Ingestion Data 72

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

Rock the JVM

JANUARY 21, 2023

Introduction Apache Kafka is a well-known event streaming platform used in many organizations worldwide. It is used as the backbone of many data infrastructures, thus it’s important to understand how to use it efficiently. Environment Setup First, we want to have a Kafka Cluster up and running. Enter Giannis: 1. version: "3.7"

Kafka 69

Kafka Java Scala Coding 69

Lyft Engineering

NOVEMBER 29, 2023

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. Druid enables low latency (real-time) data ingestion, flexible data exploration and fast data aggregation resulting in sub-second query latencies.

Kafka 104

Kafka Data Ingestion Datasets Architecture 104

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 90

Data Ingestion MySQL PostgreSQL Data Pipeline 90

Confluent

MAY 7, 2019

Every developer who uses Apache Kafka ® has used a Kafka consumer at least once. Although it is the simplest way to subscribe to and access events from Kafka, behind the scenes, Kafka consumers handle tricky distributed systems challenges like data consistency, failover and load balancing. Consistency.

Kafka 111

Kafka Accessibility Accessible Metadata 111

Hevo

JULY 10, 2024

While you can use Snowpipe for straightforward and low-complexity data ingestion into Snowflake, Snowpipe alternatives, like Kafka, Spark, and COPY, provide enhanced capabilities for real-time data processing, scalability, flexibility in data handling, and broader ecosystem integration.

Kafka 52

Kafka Data Ingestion Data Data Process 52

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

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 110

Kafka Java Software Engineering Software Engineer 110

Snowflake

OCTOBER 16, 2024

The company quickly realized maintaining 10 years’ worth of production data while enabling real-time data ingestion led to an unscalable situation that would have necessitated a data lake. Snowflake's separate clusters for ETL, reporting and data science eliminated resource contention.

Digital Media 81

Digital Media Media Data Lake Data Warehouse 81

Snowflake

NOVEMBER 11, 2024

Ingest data more efficiently and manage costs For data managed by Snowflake, we are introducing features that help you access data easily and cost-effectively. This reduces the overall complexity of getting streaming data ready to use: Simply create external access integration with your existing Kafka solution.

Data Architecture 77

Data Architecture Architecture Data Lake Kafka 77

Edureka

AUGUST 23, 2024

Current and up-to-date data helps enhance the efficiency of services, improve customer experiences, and drive innovation. Data Ingestion Data from different streams, such as applications, sensors, etc., The suite of services available with Amazon Kinesis supports many real-time data processing applications.

AWS 52

AWS Kafka Amazon Web Services Medical 52

Team Data Science

MAY 10, 2020

I can now begin drafting my data ingestion/ streaming pipeline without being overwhelmed. Kafka, while not in the top 5 most in demand skills, was still the most requested buffer technology requested which makes it worthwhile to include it. I'll use Python and Spark because they are the top 2 requested skills in Toronto.

Data Pipeline 130

Data Pipeline Data Ingestion AWS Kafka 130

Data Engineering Weekly

MAY 16, 2023

WAP [Write-Audit-Publish] Pattern The WAP pattern follows a three-step process Write Phase The write phase results from a data ingestion or data transformation step. In the 'Write' stage, we capture the computed data in a log or a staging area. The Fronting Kafka pattern follows a two-cluster approach.

Engineering 110

Engineering Kafka Data Pipeline Data Warehouse 110

Analytics Vidhya

MARCH 7, 2023

Introduction Apache Flume is a tool/service/data ingestion mechanism for gathering, aggregating, and delivering huge amounts of streaming data from diverse sources, such as log files, events, and so on, to centralized data storage. Flume is a tool that is very dependable, distributed, and customizable.

Data Ingestion 216

Data Ingestion Data Storage Hadoop Data 216

Confluent

APRIL 27, 2021

There is a class of applications that cannot afford to be unavailable—for example, external-facing entry points into your organization. Typically, anything your customers interact with directly cannot go down. As […].

Kafka 134

Kafka Data Ingestion Data 134

Team Data Science

JUNE 6, 2020

Welcome back to this Toronto Specific data engineering project. We left off last time concluding finance has the largest demand for data engineers who have skills with AWS, and sketched out what our data ingestion pipeline will look like. I began building out the data ingestion pipeline by launching an EC2 instance.

Project 130

Project Management Data Ingestion AWS 130

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 72

Data Warehouse Cloud Kafka Cloud Storage 72

Cloudera

JANUARY 20, 2021

The data journey is not linear, but it is an infinite loop data lifecycle – initiating at the edge, weaving through a data platform, and resulting in business imperative insights applied to real business-critical problems that result in new data-led initiatives. STEP 4: Capture data from Apache Kafka streams.

Manufacturing 109

Manufacturing Data Warehouse Kafka Retail 109

Data Engineering Weekly

MARCH 17, 2024

[link] Superlinked: Vector DB Comparison Vector databases are a new class designed to efficiently store and query high-dimensional vector representations of data, like embeddings from LLMs. The article compares all the VectorDB available in the market.

Data Engineer 70

Data Engineer Data Engineering Engineering Kafka 70

Striim

JULY 31, 2024

More Than a Data Streaming Platform Beyond streaming data, Striim delivers on data ingestion through Change Data Capture (CDC), ELT, ETL, and snapshots. Our distributed messaging and queuing capabilities, which can be persisted in Kafka, facilitate seamless data flow between publishers and subscribers.

Aggregated Data 52

Aggregated Data Data Ingestion Java Kafka 52

Snowflake

JUNE 4, 2024

Faster, easier ingest To make data ingestion even more cost effective and effortless, Snowflake is announcing performance improvements of up to 25% for loading JSON files, and for loading Parquet files, up to 50%. With this launch, Snowflake is providing more native connectors to allow you to bring data in more easily.

Government 84

Government Data Ingestion Data PostgreSQL 84

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 95

Kafka Hospitality Retail Data Ingestion 95

Zalando Engineering

JANUARY 3, 2018

Reducing ops effort while maintaining Kafka and Zookeeper This post is targeted to those looking for ways to reduce ops effort while maintaining Kafka and Zookeeper deployments on AWS and also improving their availability and stability. The picture below shows the initial state of our cluster.

Kafka 40

Kafka AWS Data Ingestion Process 40

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

Data Engineering Weekly

APRIL 21, 2024

link] RevenueCat: How we solved RevenueCat’s biggest challenges on data ingestion into Snowflake A common design feature of modern data lakes and warehouses is that Inserts and deletes are fast, but the cost of scattered updates grows linearly with the table size.

Data Engineer 52

Data Engineer Data Engineering Engineering Medical 52

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 107

Machine Learning Python Kafka Java 107

Monte Carlo

APRIL 24, 2023

In this article, we’ll dive deep into the data presentation layers of the data stack to consider how scale impacts our build versus buy decisions, and how we can thoughtfully apply our five considerations at various points in our platform’s maturity to find the right mix of components for our organizations unique business needs.

Data Pipeline 52

Data Pipeline Building Data Ingestion BI 52

Christophe Blefari

MARCH 4, 2023

Data ingestion pipeline with Operation Management — At Netflix they annotate video which can lead to thousand of annotation but they need to manage the annotation lifecycle each time the annotation algorithm runs. Not related, they also announced Snowpipe Streaming this week. This article explains how they did it.

Machine Learning 130

Machine Learning AWS Data Data Lake 130

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 81

Kafka Hadoop Data Ingestion Utilities 81

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 115

Cloud Kafka AWS Data Ingestion 115

Data Engineering Weekly

SEPTEMBER 11, 2023

We need to take these concepts but should rethink to fit the data model to take advantage of both the software and hardware advancements. The blog narrates the cluster management practices focusing on ACL, config services, Kafka client SDKs, and QA environment. But at its core, data governance isn’t about control.

Data Engineer 62

Data Engineer Data Engineering Engineering Kafka 62

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

Data Engineering Podcast

AUGUST 21, 2022

report having current investments in automation, 85% of data teams plan on investing in automation in the next 12 months. The Ascend Data Automation Cloud provides a unified platform for data ingestion, transformation, orchestration, and observability. In fact, while only 3.5% That’s where our friends at Ascend.io

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Lambda Architecture MongoDB Scala MySQL 100

Data Engineering Weekly

MARCH 24, 2024

The author goes beyond comparing the tools to various offerings from streaming vendors in stream processing and Kafka protocol-supported systems. As we predicted in the key trends of 2023 about Apache Flink as a clear winner in the stream processing frameworks, we see Confluent offering Flink as a service.

Data Engineer 62

Data Engineer Data Engineering Engineering Metadata 62