Cloudera

NOVEMBER 7, 2023

The vast tapestry of data types spanning structured, semi-structured, and unstructured data means data professionals need to be proficient with various data formats such as ORC, Parquet, Avro, CSV, and Apache Iceberg tables, to cover the ever growing spectrum of datasets – be they images, videos, sensor data, or other type of media content.

Systems 105

Systems Hadoop Unstructured Data Media 105

ProjectPro

JULY 15, 2021

Popular ride-hailing services, such as Uber and Ola, have used such cloud-based analytics applications for data-driven decision-making. You can acquire and improve your skills in Cloud Computing and data analytics with this project. It functions as per the data visualization concept.

Cloud Computing 40

Cloud Computing Cloud Project Banking 40

ProjectPro

FEBRUARY 11, 2021

Translate the machine learning models defined by data scientists from environments like Python and R notebooks to analytic applications. Besides that, you can follow a few people on social media to stay updated and listen to relevant podcasts. Train and re-train machine learning systems as and when required.

Machine Learning 40

Machine Learning Engineering Programming Language Portfolio 40

Rockset

FEBRUARY 24, 2023

It has expanded to various industries and applications, including IoT sensor data, financial data, web analytics, gaming behavioral data, and many more use cases. This type of data has become an essential component of real-time analytics applications because reacting to events quickly can have major effects on a business’ revenue.

Kafka 52

Kafka AWS Amazon Web Services Programming Language 52

Precisely

MARCH 10, 2023

This capability opens the door to a wide array of data analytics applications. The Rise of Cloud Analytics Data analytics has advanced rapidly over the past decade. At the same time, IoT devices, web analytics, social media, and interconnected systems generate higher volumes of data than ever before.

Datasets 59

Datasets Data Warehouse Big Data Cloud Storage 59

ProjectPro

MAY 23, 2015

Big Data Analytics Solutions at Walmart Social Media Big Data Solutions Mobile Big Data Analytics Solutions Walmart’ Carts – Engaging Consumers in the Produce Department World's Biggest Private Cloud at Walmart- Data Cafe How Walmart is fighting the battle against big data skills crisis?

Big Data 52

Big Data Data Analysis Hadoop Retail 52

Cloudera

MAY 16, 2018

Trade surveillance in the financial services industry must respond to their creativity and the complexities of a global trading network, the myriad of digital and physical communications, as well as social media-savvy players that develop sophisticated schemes, often converging on different forms of financial crime.

Data Lake 42

Data Lake Electronics Media Unstructured Data 42

U-Next

SEPTEMBER 9, 2022

Microsoft: Enhanced teamwork and productivity with the business behemoth MS moving the offices of its engineering departments in 2015, one of the top Business Analytics application instances was observed. Let’s examine the five advantages of adopting data analytics. . Personalize the Shopping Experience for Customers .

Retail 40

Retail Big Data Data Analytics Utilities 40

Cloudera

NOVEMBER 9, 2018

Another example would be terrorists using social media to radicalize others or solicit funding. Meanwhile, the Indonesian authorities have found that social media is increasingly being used in the country to raise funds for terror activities, due to the ease of opening an account with false identities. .

Machine Learning 57

Machine Learning Banking Government Media 57

AltexSoft

OCTOBER 21, 2022

The number of possible applications tends to grow due to the rise of IoT , Big Data analytics , streaming media, smart manufacturing, predictive maintenance , and other data-intensive technologies. Hadoop fits heavy, not time-critical analytics applications that generate insights for long-term planning and strategic decisions.

Kafka 93

Kafka Hadoop ETL Tools Big Data 93

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 52

Big Data Data Process Process Hadoop 52

ProjectPro

MARCH 15, 2016

Upon which you can build analytics application using Hive , MapReduce and Apache Spark. Retail analytics for supply chain efficiency. Retail analytics for targeted and customized promotion and marketing. Retail analytics in fraud detection and prevention. Hadoop allows us to store data that we never stored before.

Hadoop 40

Hadoop Retail Healthcare Banking 40

ProjectPro

SEPTEMBER 6, 2021

Popular instances where GCP is used widely are machine learning analytics, application modernization, security, and business collaboration. Compute Optimised instances are ideal for high-performance tasks that require high-speed processors and are compute-intensive—for example - game servers, media encoding devices, etc.

AWS 52

AWS Amazon Web Services Google Cloud Cloud Storage 52

ProjectPro

MAY 31, 2021

And even if you’re not very active on social media, I’m sure you now and then check your phone before leaving the house to see what the traffic is like on your route to know how long it could take you to reach your destination. The need for knowledge and application of GIS adds to the complexity of this Big Data project.

Big Data 52

Big Data Coding Project Hadoop 52