Snowflake

JANUARY 25, 2024

It’s essential for organizations to leverage vast amounts of structured and unstructured data for effective generative AI (gen AI) solutions that deliver a clear return on investment. And the potential impacts of artificial intelligence (AI) on the healthcare and life sciences industries are expected to be far-reaching.

Healthcare 93

Healthcare Hospitality Electronics Medical 93

Cloudera

FEBRUARY 8, 2021

billion by 2027, registering a CAGR of 17.1% from 2020 to 2027. In addition, moving outside the vehicle, existing fragmented approaches for data management associated with the machine learning lifecycle are limiting the ability to deploy new use cases at scale. billion in 2019, and is projected to reach $225.16

Manufacturing 107

Manufacturing Machine Learning Data Ingestion Electronics 107

U-Next

MARCH 1, 2023

A good Data Engineer will also have experience working with NoSQL solutions such as MongoDB or Cassandra, while knowledge of Hadoop or Spark would be beneficial. In 2022, data engineering will hold a share of 29.8% of the analytics market, whereas, in 2027, it will hold a share of 43.2%. What is a data warehouse?

Data Engineer 75

Data Engineer Data Engineering Non-relational Database Engineering 75

Striim

AUGUST 28, 2024

The AI market is projected to reach a staggering $407 billion by 2027. These roles will span various sectors, including data science, AI ethics, machine learning engineering, and AI-related research and development. Real-Time Data — The Missing Link What is Real-Time Data?

Healthcare 52

Healthcare Retail Algorithm Finance 52

Knowledge Hut

JUNE 27, 2023

million by 2027. This growth is because of big data analytics, cloud computing, and IOT in industries. Cybersecurity, Data Analytics & Machine Learning are gaining more prominence. It offers job opportunities in emerging areas like artificial intelligence, machine learning, & data science.

Computer Science 52

Computer Science Entertainment Healthcare Finance 52

ProjectPro

NOVEMBER 17, 2021

Table of Contents Top Sentiment Analysis Project Ideas With Source Code Using Machine Learning What is Sentiment Analysis? Sentiment analysis is used to analyze raw text to drive objective quantitative results using natural language processing, machine learning, and other data analytics techniques.

Coding 52

Coding Project Entertainment Datasets 52

Dataquest

OCTOBER 16, 2019

It’s the Backbone of Data Science Data engineers are on the front lines of data strategy so that others don’t need to be. They are the first people to tackle the influx of structured and unstructured data that enters a company’s systems. They are the foundation of any data strategy. And that’s not all!

Data Engineer 52

Data Engineer Data Engineering Engineering Software Engineer 52