Knowledge Hut

JULY 26, 2023

It is widely utilized for its great scalability, fault tolerance, and quick write performance, making it ideal for large-scale data storage and real-time analytics applications. Apache Cassandra is a well-known columnar database that can handle enormous quantities of data across dispersed clusters. Spatial Database (e.g.-

Database 52

Database NoSQL Telecommunication MongoDB 52

Striim

NOVEMBER 8, 2023

The four data mesh principles aim to solve major difficulties that have plagued data and analytics applications for a long time. Example of a data mesh for a large retailer using Striim. A data mesh is technology-agnostic and underpins four main principles described in-depth in this blog post by Zhamak Dehghani.

Architecture 52

Architecture Generalist Government Datasets 52

ProjectPro

MARCH 15, 2016

Table of Contents Hadoop Distributed File System (HDFS) Hadoop MapReduce Hadoop in the Financial Sector Hadoop in Healthcare Sector Hadoop for Telecom Industry Hadoop in Retail Sector Hadoop for Building Recommendation System Studying Hadoop use cases will help to – 1.) Retail analytics for dynamic pricing of products.

Hadoop 40

Hadoop Retail Healthcare Banking 40

ProjectPro

MAY 23, 2015

With more than 245 million customers visiting 10,900 stores and with 10 active websites across the globe, Walmart is definitely a name to reckon with in the retail sector. Whether it is in-store purchases or social mentions or any other online activity, Walmart has always been one of the best retailers in the world.

Big Data 52

Big Data Data Analysis Hadoop Retail 52

Cloudera

SEPTEMBER 10, 2018

Here are a few real customer examples: A retailer needs insights on web-based sales. Using a team of just three administrators (rather than the 15 they needed before) and thanks to SDX providing single consistent context, they can now deploy their Cloudera analytics applications to no fewer than three public clouds in less than an hour.

Data Warehouse 40

Data Warehouse Metadata Retail Cloud 40

ProjectPro

MARCH 1, 2017

Two Tech giants, Hortonworks and IBM have partnered to enable IBM clients run hadoop analytics directly on IBM storage without requiring a separate analytic storage.IBM’s enterprise storage will be paired with Hortonworks analytics application so that clients can opt for either centralized or distributed deployments.

Hadoop 40

Hadoop Food Data Lake Banking 40

AltexSoft

OCTOBER 21, 2022

No matter who reads what, the technology found its way to virtually every industry — from healthcare to travel to retail. Hadoop fits heavy, not time-critical analytics applications that generate insights for long-term planning and strategic decisions. If only Jay had different tastes. What Kafka is used for. Kafka vs ETL.

Kafka 93

Kafka Hadoop ETL Tools Big Data 93

ProjectPro

JULY 15, 2021

Projects based on cloud computing have applications in entertainment, education, healthcare, retail, banking, marketing, and other industrial and business domains. Popular ride-hailing services, such as Uber and Ola, have used such cloud-based analytics applications for data-driven decision-making.

Cloud Computing 40

Cloud Computing Cloud Project Banking 40

ProjectPro

APRIL 19, 2021

Real-world data analytics projects in domains like Retail , Finance, Media, and others can teach you a lot about how analytics is actually implemented in the industry. Choose your own self-learning path and hone the required data analyst skills by exploring and practicing diverse real-world business problems.

Portfolio 40

Portfolio Data Finance Certification 40

ProjectPro

MAY 20, 2015

The company targets to deliver values to its customers through the free SaaS based analytics applications so that it can build credibility with the clients to encourage them to buy more. With clients like Walmart , Pfizer, Microsoft and Dell, Mu Sigma is thriving towards building the greatest big data analytics ecosystem of the future.

Big Data 40

Big Data Hadoop Business Analyst Unstructured Data 40

ProjectPro

JANUARY 31, 2023

Finally, NoSQL databases are frequently used in real-time analytics applications, such as streaming data from IoT sensors. Hadoop in Telecom: Telecommunications companies use Hadoop-powered analytics to perform predictive maintenance on their infrastructure. Multiple users cannot simultaneously write to the same HDFS file.

Big Data 52

Big Data Hadoop AWS Relational Database 52