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! He was an engineer on the database team at Facebook, where he was the founding engineer of the RocksDB data store. Earlier at Yahoo, he was one of the founding engineers of the Hadoop Distributed File System.

Data Analytics 52

Data Analytics Data Warehouse Medical MySQL 52

ProjectPro

MAY 20, 2015

There are several big data and business analytics companies that offer a novel kind of big data innovation through unprecedented personalization and efficiency at scale. Which big data analytic companies are believed to have the biggest potential?

Big Data 40

Big Data Hadoop Business Analyst Unstructured Data 40

Cloudera

NOVEMBER 7, 2023

Apache Ozone is compatible with Amazon S3 and Hadoop FileSystem protocols and provides bucket layouts that are optimized for both Object Store and File system semantics. This blog post is intended to provide guidance to Ozone administrators and application developers on the optimal usage of the bucket layouts for different applications.

Systems 100

Systems Hadoop Unstructured Data Media 100

Cloudera

SEPTEMBER 15, 2022

It was designed as a native object store to provide extreme scale, performance, and reliability to handle multiple analytics workloads using either S3 API or the traditional Hadoop API. Ozone as a Hadoop Compatible File System (“HCFS”) with limited S3 compatibility. The same data can be read as an object, or a file.

Systems 86

Systems Hadoop Metadata Telecommunication 86

AltexSoft

OCTOBER 21, 2022

After trying all options existing on the market — from messaging systems to ETL tools — in-house data engineers decided to design a totally new solution for metrics monitoring and user activity tracking which would handle billions of messages a day. Cloudera , focusing on Big Data analytics. Kafka vs Hadoop. Web App Development.

Kafka 93

Kafka Hadoop ETL Tools Big Data 93

ProjectPro

JANUARY 31, 2023

In this blog, we'll dive into some of the most commonly asked big data interview questions and provide concise and informative answers to help you ace your next big data job interview. Typically, data processing is done using frameworks such as Hadoop, Spark, MapReduce, Flink, and Pig, to mention a few. RDBMS stores structured data.

Big Data 52

Big Data Hadoop AWS Relational Database 52

ProjectPro

MAY 23, 2015

2014 Kaggle Competition Walmart Recruiting – Predicting Store Sales using Historical Data Description of Walmart Dataset for Predicting Store Sales What kind of big data and hadoop projects you can work with using Walmart Dataset? In 2012, Walmart made a move from the experiential 10 node Hadoop cluster to a 250 node Hadoop cluster.

Big Data 52

Big Data Data Analysis Hadoop Retail 52

Cloudera

APRIL 2, 2019

Apache HBase® is one of many analytics applications that benefit from the capabilities of Intel Optane DC persistent memory. HBase is a distributed, scalable NoSQL database that enterprises use to power applications that need random, real time read/write access to semi-structured data.

NoSQL 47

NoSQL Google Cloud Hadoop Machine Learning 47

Cloudera

MAY 16, 2018

Arcadia Enterprise runs within the Cloudera data platform and enables business intelligence (BI) and rich visual analytic applications to be built for hundreds of business users working on data in Hadoop. The post Cross-Functional Trade Surveillance appeared first on Cloudera Blog.

Data Lake 41

Data Lake Electronics Media Unstructured Data 41

ProjectPro

SEPTEMBER 6, 2021

Are you confused about choosing the best cloud platform for your next data engineering project ? AWS vs. GCP blog compares the two major cloud platforms to help you choose the best one. GCP Machine Learning Products Google Machine Learning Engine: It is the machine learning offering at scale from Google. Let’s get started!

AWS 52

AWS Amazon Web Services Google Cloud Cloud Storage 52

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. Data Preparation and Cleaning The data preparation step, which may consume up to 80% of the time allocated to any big data or data engineering project, comes next.

Big Data 52

Big Data Coding Project Hadoop 52

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! We also combined the underlying RocksDB storage engine with our Aggregator-Tailer-Leaf (ALT) architecture so that our indexes are instantly, fully mutable.

Analytics Application 52

Analytics Application Data Warehouse Raw Data Kafka 52

Cloudera

NOVEMBER 22, 2021

In addition, data pipelines include more and more stages, thus making it difficult for data engineers to compile, manage, and troubleshoot those analytical workloads. That level of automation and simplicity enables data practitioners to stand up analytical environments in a self-service manner (i.e., CRM platforms).

Government 89

Government Hadoop Data Security Data Warehouse 89