Accessible, Analytics Application and Structured Data

Accessible

Analytics Application

Structured Data

A Flexible and Efficient Storage System for Diverse Workloads

Cloudera

SEPTEMBER 15, 2022

Today’s platform owners, business owners, data developers, analysts, and engineers create new apps on the Cloudera Data Platform and they must decide where and how to store that data. Structured data (such as name, date, ID, and so on) will be stored in regular SQL databases like Hive or Impala databases.

Systems

Systems Hadoop Metadata Telecommunication

Rockset Is Up to 9.4x Faster than Apache Druid on the Star Schema Benchmark

Rockset

FEBRUARY 18, 2021

Real-time analytics is all about deriving insights and taking actions as soon as data is produced. When broken down into its core requirements, real-time analytics means two things: access to fresh data and fast responses to queries. Rockset was 9.4x

Analytics Application

Analytics Application SQL Database Structured Data

Join 16,000+

Insiders

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

Webinars

Generative AI Deep Dive: Advancing from Proof of Concept to Production

Understanding User Needs and Satisfying Them

Beyond the Basics of A/B Tests: Highly Innovative Experimentation Tactics You Need to Know

Leading the Development of Profitable and Sustainable Products

How To Get Promoted In Product Management

MORE WEBINARS

Trending Sources

Analytics-on-the-fly: from batch to real-time user engagement

Rockset

AUGUST 11, 2020

The recommendation models improved engagement when the models had access to more recent actions of its users. Data that used to be batch-loaded daily into Hadoop for model serving started to get loaded continuously, at first hourly and then in fifteen minutes intervals. No more batch analytics.this is analytics-on-the-fly!

Hadoop

Hadoop Datasets Banking Analytics Application

Webinars

Generative AI Deep Dive: Advancing from Proof of Concept to Production

Understanding User Needs and Satisfying Them

Beyond the Basics of A/B Tests: Highly Innovative Experimentation Tactics You Need to Know

Leading the Development of Profitable and Sustainable Products

How To Get Promoted In Product Management

MORE WEBINARS

Comparing ClickHouse vs Rockset for Event and CDC Streams

Rockset

OCTOBER 4, 2022

Streaming data feeds many real-time analytics applications, from logistics tracking to real-time personalization. Event streams, such as clickstreams, IoT data and other time series data, are common sources of data into these apps.

MySQL

MySQL Kafka Aggregated Data Architecture

Intel and Cloudera collaborate to bring improved performance to customers with Optane DC Persistent Memory

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

NoSQL Google Cloud Hadoop Machine Learning

SQL for Data Engineering: Success Blueprint for Data Engineers

ProjectPro

FEBRUARY 16, 2023

Your SQL skills as a data engineer are crucial for data modeling and analytics tasks. Making data accessible for querying is a common task for data engineers. Collecting the raw data, cleaning it, modeling it, and letting their end users access the clean data are all part of this process.

Data Engineering

Data Engineering Data Engineer SQL Engineering

What is Data Hub: Purpose, Architecture Patterns, and Existing Solutions Overview

AltexSoft

SEPTEMBER 23, 2021

It’s not a single technology, but rather an architectural approach that unites storages, data integration and orchestration tools. With a data hub, businesses receive the means to structure, and harmonize information collected from various sources. A data hub serves as a gateway to dispense the required data.

Architecture

Architecture Data Lake Unstructured Data Data Warehouse

100+ Big Data Interview Questions and Answers 2023

ProjectPro

JANUARY 31, 2023

Data Variety Hadoop stores structured, semi-structured and unstructured data. RDBMS stores structured data. Data storage Hadoop stores large data sets. RDBMS stores the average amount of data. Works with only structured data. Data Size HDFS stores and processes big data.

Big Data

Big Data Hadoop AWS Relational Database

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

ProjectPro

MAY 31, 2021

A big data project is a data analysis project that uses machine learning algorithms and different data analytics techniques on a large dataset for several purposes, including predictive modeling and other advanced analytics applications. Access Solution to Data Warehouse Design for an E-com Site 4.

Big Data

Big Data Coding Project Hadoop

The Good and the Bad of Apache Spark Big Data Processing

AltexSoft

JULY 18, 2023

It has in-memory computing capabilities to deliver speed, a generalized execution model to support various applications, and Java, Scala, Python, and R APIs. Spark Streaming enhances the core engine of Apache Spark by providing near-real-time processing capabilities, which are essential for developing streaming analytics applications.

Big Data

Big Data Data Process Process Hadoop

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

Rockset

FEBRUARY 25, 2021

Analyze Semi-Structured Data As Is The data feeding modern applications is rarely in neat little tables. Instead, this data is often semi-structured in JSON or arrays. Rockset supports full-featured SQL, enabling filtering, sorting, aggregating, and joining data in SQL.

SQL

SQL Data Pipeline Kafka Database

The Ultimate Modern Data Stack Migration Guide

phData: Data Engineering

JULY 18, 2023

The Ultimate Modern Data Stack Migration Guide phData Marketing July 18, 2023 This guide was co-written by a team of data experts, including Dakota Kelley, Ahmad Aburia, Sam Hall, and Sunny Yan. Imagine a world where all of your data is organized, easily accessible, and routinely leveraged to drive impactful outcomes.

Data Warehouse

Data Warehouse Pipeline-centric Government Data

Top 6 Big Data and Business Analytics Companies to Work For in 2023

ProjectPro

MAY 20, 2015

Professionals aspiring to earn high-paid big data jobs must have a look at these top 6 big data companies to work for in 2015: 1) InsightSquared, Cambridge, MA InsightSquared a big data analytics company experiencing triple digit annual growth in revenues, employees and customers.

Big Data

Big Data Hadoop Business Analyst Unstructured Data

Hadoop Use Cases

ProjectPro

MARCH 15, 2016

These two components define Hadoop, as it gained importance in data storage and analysis, over the legacy systems, due to its distributed processing framework. Get FREE Access to Data Analytics Example Codes for Data Cleaning, Data Munging, and Data Visualization Let’s take a look at some Hadoop use cases in various industries.

Hadoop

Hadoop Retail Healthcare Banking

Data Engineering Digest

A Flexible and Efficient Storage System for Diverse Workloads

Rockset Is Up to 9.4x Faster than Apache Druid on the Star Schema Benchmark

Webinars

Trending Sources

Analytics-on-the-fly: from batch to real-time user engagement

Webinars

Comparing ClickHouse vs Rockset for Event and CDC Streams

Intel and Cloudera collaborate to bring improved performance to customers with Optane DC Persistent Memory

SQL for Data Engineering: Success Blueprint for Data Engineers

What is Data Hub: Purpose, Architecture Patterns, and Existing Solutions Overview

100+ Big Data Interview Questions and Answers 2023

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

The Good and the Bad of Apache Spark Big Data Processing

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

The Ultimate Modern Data Stack Migration Guide

Top 6 Big Data and Business Analytics Companies to Work For in 2023

Hadoop Use Cases

Stay Connected