ProjectPro

MAY 13, 2015

Table of Contents MongoDB NoSQL Database Certification- Hottest IT Certifications of 2015 MongoDB-NoSQL Database of the Developers and for the Developers MongoDB Certification Roles and Levels Why MongoDB Certification? The three next most common NoSQL variants are Couchbase, CouchDB and Redis.

NoSQL 40

NoSQL MongoDB Certification Database 40

Zalando Engineering

JUNE 6, 2016

A 2011 McKinsey Global Institute report revealed that nearly all sectors in the US economy had at least 200 terabytes of stored data per company, thus the need for specialised engineers to solve Big Data problems was conceded. DevOps Manager DevOps: What even is it?

Big Data 40

Big Data Programming Language MongoDB NoSQL 40

ProjectPro

AUGUST 6, 2015

Amazon launched a promotional offer in 2011 – “Amazon pays shoppers $5 if they walk out of the store without any purchases.” How Nike uses Big Data- Top sports brand Nike leverages big data analytics to develop ecological designs for its products, including a dye technique that requires no water. ” Interesting?

Big Data 52

Big Data Hadoop Insurance Media 52

Confluent

MAY 22, 2019

Since MQTT is designed for low-power and coin-cell-operated devices, it cannot handle the ingestion of massive datasets. Since its creation at LinkedIn in 2011, Kafka has quickly evolved from a message queuing system to a full-fledged event streaming platform. MQTT Proxy + Apache Kafka (no MQTT broker). What is Scylla?

Kafka 96

Kafka Google Cloud NoSQL Entertainment 96

ProjectPro

JANUARY 24, 2023

Since its public release in 2011, BigQuery has been marketed as a unique analytics cloud data warehouse tool that requires no virtual machines or hardware resources. BigQuery is designed for analytical queries beyond basic CRUD operations and offers excellent performance for these queries. Q: Is BigQuery SQL or NoSQL?

Bytes 52

Bytes Google Cloud Data Warehouse Datasets 52

Confluent

SEPTEMBER 25, 2019

In 2011, Marc Andressen wrote an article called Why Software is Eating the World. This transition has many significant implications, but my focus will be on what it means for the role and design of the software itself. The central idea is that any process that can be moved into software, will be.

Database-centric 56

Database-centric Kafka Pipeline-centric Retail 56

ProjectPro

MARCH 16, 2015

Healthcare informatics also contributes to the development of Big Data analytic technology by posing novel challenges in terms of data knowledge representation, database design, data querying and clinical decision support. This data was mostly generated by various regulatory requirements, record keeping, compliance and patient care.

Healthcare 40

Healthcare Big Data Project Hospitality 40