Introducing Apache Spark on Docker on top of Apache YARN with CDP DataCenter release - Cloudera Blog
Flafka: Apache Flume Meets Apache Kafka for Event Processing - Cloudera Blog
The new integration between Flume and Kafka offers sub-second-latency event processing without the need for dedicated infrastructure. In this previous post you learned some Apache Kafka basics and explored a scenario for using Kafka in an online application. This post takes you a step further and highlights the integration of Kafka with Apache Hadoop, demonstrating both a basic ingestion capabilit
The Small Files Problem - Cloudera Blog
Small files are a big problem in Hadoop — or, at least, they are if the number of questions on the user list on this topic is anything to go by. In this post I’ll look at the problem, and examine some common solutions. Problems with small files and HDFS A small file is one which is significantly smaller than the HDFS block size (default 64MB). If you’re storing small files, then you probably have
Cloudera Blog
Riding the wave of the generative AI revolution, third party large language model (LLM) services like ChatGPT and Bard have swiftly emerged as the talk of the town, converting AI skeptics to evangelists and transforming the way we interact with technology. For proof of this megatrend look no further than the instant success of ChatGPT, […] Read blog post
Apache Impala Leads Traditional Analytic Database - Cloudera Blog
Unmodified TPC-DS-based performance benchmark show Impala’s leadership compared to a traditional analytic database (Greenplum), especially for multi-user concurrent workloads. Additionally, benchmark continues to demonstrate significant performance gap between analytic databases and SQL-on-Hadoop engines like Hive LLAP, Spark SQL, and Presto. The past year has been one of the biggest for Apache Im
Cloudera Data Science Workbench: Self-Service Data Science for the Enterprise - Cloudera Blog
Cloudera Data Science Workbench: Self-Service Data Science for the Enterprise We are entering the golden age of machine learning, and it’s all about the data. As the quantity of data grows and the costs of compute and storage continue to drop, the opportunity to solve the world’s biggest problems has never been greater. Our customers already use advanced machine learning to build self-driving cars
How-to: Do Real-Time Log Analytics with Apache Kafka, Cloudera Search, and Hue - Cloudera Blog
How-to: Do Real-Time Log Analytics with Apache Kafka, Cloudera Search, and Hue Cloudera recently announced formal support for Apache Kafka. This simple use case illustrates how to make web log analysis, powered in part by Kafka, one of your first steps in a pervasive analytics journey. If you are not looking at your company’s operational logs, then you are at a competitive disadvantage in your ind
Cloudera Blog
Riding the wave of the generative AI revolution, third party large language model (LLM) services like ChatGPT and Bard have swiftly emerged as the talk of the town, converting AI skeptics to evangelists and transforming the way we interact with technology. For proof of this megatrend look no further than the instant success of ChatGPT, […] Read blog post
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Accelerating Queries on Iceberg Tables with Materialized Views - Cloudera Blog
A Flexible and Efficient Storage System for Diverse Workloads - Cloudera Blog
12 Times Faster Query Planning With Iceberg Manifest Caching in Impala - Cloudera Blog
Ozone Write Pipeline V2 with Ratis Streaming - Cloudera Blog
Optimizing Hive on Tez Performance - Cloudera Blog
Apache Hive Warehouse Connector Use-Cases - Cloudera Blog
Scalability Improvement of Apache Impala 2.12.0 in CDH 5.15.0 - Cloudera Blog
Robust Message Serialization in Apache Kafka Using Apache Avro, Part 3 - Cloudera Blog