Rockset

FEBRUARY 18, 2021

As it usually gets less focus in benchmarks, we released RockBench , a data latency benchmark, last September. Query Latency and the Star Schema Benchmark Query latency is the second key measure of real-time analytics performance and is the focus of the rest of this post. Rockset was 9.4x

Analytics Application 52

Analytics Application SQL Database Structured Data 52

Rockset

AUGUST 11, 2020

I was simply stunned that Facebook’s technology had the ‘magic’ to connect me to three people who were my cricket-teammates when I was in elementary school. Facebook’s ‘magic’, then, was powered by the ability to process large amounts of information on a new system called Hadoop and the ability to do batch-analytics on it.

Hadoop 52

Hadoop Banking Datasets Analytics Application 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 48

NoSQL Google Cloud Hadoop Machine Learning 48

ProjectPro

MAY 20, 2015

According to NASSCOM, the global big data analytics market is anticipated to reach $121 billion by 2016. Another research report by IDC predicts 27% compound annual growth rate for big data services and technologies by end of 2017 which equals 6 times the CAGR of the IT market as a whole.

Big Data 40

Big Data Hadoop Business Analyst Data Analytics 40

AltexSoft

SEPTEMBER 23, 2021

We’ll also analyze some of the data hub products existing in the market to explore how this technology works and what it actually can do. What is Data Hub? A data hub is a central mediation point between various data sources and data consumers. A data hub serves as a gateway to dispense the required data.

Architecture 52

Architecture Data Lake Unstructured Data Data Warehouse 52

AltexSoft

JULY 18, 2023

These seemingly unrelated terms unite within the sphere of big data, representing a processing engine that is both enduring and powerfully effective — Apache Spark. It has in-memory computing capabilities to deliver speed, a generalized execution model to support various applications, and Java, Scala, Python, and R APIs.

Big Data 52

Big Data Data Process Process Hadoop 52

ProjectPro

MARCH 15, 2016

Hadoop is beginning to live up to its promise of being the backbone technology for Big Data storage and analytics. Companies across the globe have started to migrate their data into Hadoop to join the stalwarts who already adopted Hadoop a while ago.

Hadoop 40

Hadoop Retail Healthcare Banking 40