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SoftBank Selects Cloudera Data Platform to Leverage Customer Intelligence While Ensuring Data Security

Cloudera

SoftBank Aims to Expand Data Provision Further for Users and Corporate Customers The introduction of CDP has strengthened SoftBank’s business for both users and corporate customers. SoftBank aims to expand its data applicationss across a variety of industries by leveraging the huge volume of data collected from its broad user base.

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Data Science vs Artificial Intelligence [Top 10 Differences]

Knowledge Hut

The field of Artificial Intelligence has seen a massive increase in its applications over the past decade, bringing about a huge impact in many fields such as Pharmaceutical, Retail, Telecommunication, energy, etc. ML engineers work in close collaboration with the Data scientists throughout the Data Science pipeline.

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Data Scientist Salary in India: Based on Location, Company, Experience

Knowledge Hut

Not only will it help with your data science knowledge, but it will also improve your resume. Who is a Data Scientist? Data scientists are experts who find, collect and evaluate big data collections. Computer science, mathematics, and statistics training are often required for data science positions.

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Making Sense of Real-Time Analytics on Streaming Data, Part 1: The Landscape

Rockset

Introduction Let’s get this out of the way at the beginning: understanding effective streaming data architectures is hard, and understanding how to make use of streaming data for analytics is really hard. An instructive example is clickstream data, which records a user’s interactions on a website. Kafka or Kinesis ?

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The Evolution of Customer Data Modeling: From Static Profiles to Dynamic Customer 360

phData: Data Engineering

It enables advanced analytics, makes debugging your marketing automations easier, provides natural audit trails for compliance, and allows for flexible, evolving customer data models. So next time you’re designing your customer data architecture in your CDP, don’t just think about the current state of your customers.

Data 52
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100+ Big Data Interview Questions and Answers 2023

ProjectPro

There are three steps involved in the deployment of a big data model: Data Ingestion: This is the first step in deploying a big data model - Data ingestion, i.e., extracting data from multiple data sources. It ensures that the data collected from cloud sources or local databases is complete and accurate.

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

ProjectPro

Access Big Data Projects Example Code to Real-Time Tracking of Vehicles 22. Analysis of Network Traffic and Call Data Records There are large chunks of data-making rounds in the telecommunications industry. However, very little of this data is currently being used to improve the business.