Analytics Application, Blog and Kafka - Data Engineering Digest

How to Use Kafka for Event Streaming in a Microservices Architecture?

Workfall

JUNE 27, 2023

Traditionally, web sockets were the go-to option when it came to real-time applications, but think of a situation whereby there’s server downtime. It means that there is a high risk of data loss but Apache Kafka solves this because it is distributed and can easily scale horizontally and other servers can take over the workload seamlessly.

Kafka

Kafka Architecture AWS Transportation

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. In this article, we’ll explain why businesses choose Kafka and what problems they face when using it. In this article, we’ll explain why businesses choose Kafka and what problems they face when using it. What is Kafka?

Kafka

Kafka Hadoop Big Data ETL Tools

An Overview of Real Time Data Warehousing on Cloudera

Cloudera

NOVEMBER 2, 2020

Deep Dive into Time Series and Event Analytics Specialized RTDW , featuring Apache Druid, Apache Hive, Apache Kafka, and Cloudera DataViz. In addition, we have a webinar and blog explaining how you can use Apache Kudu and Apache Impala to create a time series application within CDP. Micro-batch stream processing engine.

Data Warehouse

Data Warehouse Kafka Lambda Architecture Telecommunication

Data News — Week 23.01

Christophe Blefari

JANUARY 7, 2023

The blog crossed the 2000 members mark (❤️) and I won the best data science newsletter award. Introducing ADBC: Database Access for Apache Arrow — When I see "minimal-overhead alternative to JDBC/ODBC for analytical applications" I'm instantly in. I think this is even relevant to data world.

Data Science

Data Science Data BI Kafka

A Cost-Effective Data Warehouse Solution in CDP Public Cloud – Part1

Cloudera

FEBRUARY 9, 2021

A typical approach that we have seen in customers’ environments is that ETL applications pull data with a frequency of minutes and land it into HDFS storage as an extra Hive table partition file. In this way, the analytic applications are able to turn the latest data into instant business insights. Cost-Effective.

Data Warehouse

Data Warehouse Cloud Kafka Cloud Storage

How to Use KSQL Stream Processing and Real-Time Databases to Analyze Streaming Data in Kafka

Rockset

MARCH 19, 2020

Intro In recent years, Kafka has become synonymous with “streaming,” and with features like Kafka Streams, KSQL, joins, and integrations into sinks like Elasticsearch and Druid, there are more ways than ever to build a real-time analytics application around streaming data in Kafka.

Kafka

Kafka Database Process SQL

Making Sense of Real-Time Analytics on Streaming Data, Part 1: The Landscape

Rockset

FEBRUARY 24, 2023

Introduction Let’s get this out of the way at the beginning: understanding effective streaming data architectures is hard, and understanding how to make use of streaming data for analytics is really hard. Kafka or Kinesis ? A few noteworthy points: Self-managed Kafka can be deployed on-premises or in the cloud.

Kafka

Kafka AWS Amazon Web Services Programming Language

Why Mutability Is Essential for Real-Time Data Analytics

Rockset

MARCH 10, 2022

We'll be publishing more posts in the series in the near future, so subscribe to our blog so you don't miss them! To deliver real-time analytics, companies need a modern technology infrastructure that includes these three things: A real-time data source such as web clickstreams, IoT events produced by sensors, etc.

Data Analytics

Data Analytics Data Warehouse MySQL Medical

What is AWS Kinesis (Amazon Kinesis Data Streams)?

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. This blog will explore the AWS Amazon Kinesis and how this managed platform can revamp data analytics. What is the difference between Amazon Kinesis and Kafka? How Amazon Kinesis Works?

AWS

AWS Kafka Amazon Web Services Medical

Benchmarking Elasticsearch and Rockset: Rockset achieves up to 4X faster streaming data ingestion

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. In this blog, we’ll walk through the benchmark framework, configuration and results. Why measure streaming data ingestion?

Data Ingestion

Data Ingestion Kafka Database Architecture

Elasticsearch or Rockset for Real-Time Analytics: Real-Time Ingestion and Indexing

Rockset

MARCH 15, 2021

The Demands of Real-Time Analytics Real-time analytics applications have specific demands (i.e., and your solution will only be able to provide valuable real-time analytics if you are able to meet them. Indexing Efficiency Indexing data is another crucial requirement for real-time analytics applications.

MongoDB

MongoDB Data Ingestion Analytics Application Kafka

What Data Engineers Think About - Variety, Volume, Velocity and Real-Time Analytics

Rockset

DECEMBER 9, 2019

It continuously ingests raw data from multiple sources--data lakes, data streams, databases--into its storage layer and allows fast SQL access from both visualisation tools and analytic applications. Kafka connectors are available within Rockset to consume streams from Kafka in real time.

Data Engineer

Data Engineer Data Engineering Engineering Raw Data

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

Rockset

FEBRUARY 25, 2021

However, Elasticsearch has several limitations that make it less suitable when it comes to running more complex analytical queries. 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.

SQL

SQL Data Pipeline Kafka Database

Top 8 Data Engineering Books [Beginners to Advanced]

Knowledge Hut

JUNE 30, 2023

It covers popular technologies such as Apache Kafka, Apache Storm, and Apache Hadoop, giving users practical advice on developing and executing effective data pipelines. With helpful illustrations and thorough explanations, it assists readers in comprehending how to use Spark for big data processing and analytics applications.

Data Engineer

Data Engineer Data Engineering Engineering Data Warehouse

20 Solved End-to-End Big Data Projects with Source Code

ProjectPro

MAY 31, 2021

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. The Apache Hadoop open source big data project ecosystem with tools such as Pig, Impala, Hive, Spark, Kafka Oozie, and HDFS can be used for storage and processing.

Big Data

Big Data Coding Project Hadoop

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

Rockset

APRIL 15, 2022

We'll be publishing more posts in the series in the near future, so subscribe to our blog so you don't miss them! Explosion in Streaming Data Before Kafka, Spark and Flink, streaming came in two flavors: Business Event Processing (BEP) and Complex Event Processing (CEP). Many (Kafka, Spark and Flink) were open source.

Analytics Application

Analytics Application Data Warehouse Kafka Database

Turning Streams Into Data Products

Cloudera

JUNE 16, 2022

In 2015, Cloudera became one of the first vendors to provide enterprise support for Apache Kafka, which marked the genesis of the Cloudera Stream Processing (CSP) offering. Today, CSP is powered by Apache Flink and Kafka and provides a complete, enterprise-grade stream management and stateful processing solution. Who is affected?

Kafka

Kafka Manufacturing Data Lake SQL

Cloudera acquires Eventador to accelerate Stream Processing in Public & Hybrid Clouds

Cloudera

OCTOBER 12, 2020

We believe Eventador will accelerate innovation in our Cloudera DataFlow streaming platform and deliver more business value to our customers in their real-time analytics applications. The post Cloudera acquires Eventador to accelerate Stream Processing in Public & Hybrid Clouds appeared first on Cloudera Blog.

Cloud

Cloud Process Scala Kafka

Using SQL to democratize streaming data

Cloudera

MARCH 2, 2021

But as data streaming technologies like Apache Kafka and Apache Flink have evolved, only until recently have SQL interfaces become deeply integrated. The post Using SQL to democratize streaming data appeared first on Cloudera Blog. For good reason – it’s easy to use, mature, powerful, and completely ubiquitous.

SQL

SQL Java Data Lake Scala

Data Engineering Digest

How to Use Kafka for Event Streaming in a Microservices Architecture?

The Good and the Bad of Apache Kafka Streaming Platform

Trending Sources

An Overview of Real Time Data Warehousing on Cloudera

Data News — Week 23.01

A Cost-Effective Data Warehouse Solution in CDP Public Cloud – Part1

How to Use KSQL Stream Processing and Real-Time Databases to Analyze Streaming Data in Kafka

Making Sense of Real-Time Analytics on Streaming Data, Part 1: The Landscape

Why Mutability Is Essential for Real-Time Data Analytics

What is AWS Kinesis (Amazon Kinesis Data Streams)?

Benchmarking Elasticsearch and Rockset: Rockset achieves up to 4X faster streaming data ingestion

Elasticsearch or Rockset for Real-Time Analytics: Real-Time Ingestion and Indexing

What Data Engineers Think About - Variety, Volume, Velocity and Real-Time Analytics

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

Top 8 Data Engineering Books [Beginners to Advanced]

20 Solved End-to-End Big Data Projects with Source Code

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

Turning Streams Into Data Products

Cloudera acquires Eventador to accelerate Stream Processing in Public & Hybrid Clouds

Using SQL to democratize streaming data

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