Databand.ai

DECEMBER 13, 2022

He also has more than 10 years of experience in big data, being among the few data engineers to work on Hadoop Big Data Analytics prior to the adoption of public cloud providers like AWS, Azure, and Google Cloud Platform. On LinkedIn, he focuses largely on Spark, Hadoop, big data, big data engineering, and data engineering.

Data Engineer 52

Data Engineer Data Engineering Engineering AWS 52

Knowledge Hut

NOVEMBER 2, 2023

In this, there are options for SQL Server, Oracle, MariaDB, MySQL, PostgreSQL, and Amazon Aurora. For Big data Amazon Elastic MapReduce is responsible for processing a large amount of data through the Hadoop framework. For MXNet and TensorFlow, there are deep learning development frameworks offered by AWS.

Amazon Web Services 52

Amazon Web Services AWS IT Transportation 52

Databand.ai

DECEMBER 20, 2022

Olga is skilled in MySQL, PostgreSQL, and R and regularly publishes articles on topics like data analysis and machine learning. Follow Olga on LinkedIn 13) Richmond Alake Machine Learning Architect at Slalom Build Richmond is Machine Learning Architect and a Machine Learning Content Creator.

Data Analytics 52

Data Analytics Google Cloud Data Science Machine Learning 52

ProjectPro

JULY 23, 2021

Ace your Big Data engineer interview by working on unique end-to-end solved Big Data Projects using Hadoop. With Amazon Polly, you can use advanced deep learning technologies to carry out accurate conversions. This dataset is now a valuable asset for machine learning, Natural language processing, and deep learning applications.

AWS 52

AWS Project Amazon Web Services Cloud Computing 52

AltexSoft

JUNE 26, 2023

When developing machine learning models, you need several years’ worth of historical data (two-three years, at the very minimum), complemented with current information. Deep learning models consume even more — tens and hundreds of thousands of samples. They won’t make accurate predictions if trained on small datasets.

Data Collection 52

Data Collection Machine Learning Unstructured Data Non-relational Database 52

ProjectPro

JULY 28, 2021

You can also develop skills in MySQL or JavaScript. Can you explain the Hadoop architecture? Statistical Language: You should have basic – intermediate knowledge of at least one statistical language, such as R or Python. Data Language: SQL is the most popular data language. js and Matplottlib, and Tableau.

Recruitment 40

Recruitment Data Science Machine Learning NoSQL 40

U-Next

AUGUST 11, 2022

Mathematics, coding, analysis techniques (Mysql, Hadoop), deep learning, visualization techniques, data manipulation, and business experience are Data Analysts’ top technical abilities. Numerous industry professionals anticipate that deep learning will soon replace the amount of customer support positions.

Data Analytics 40

Data Analytics Data Machine Learning Data Science 40

U-Next

AUGUST 3, 2022

Now that well-known technologies like Hadoop and others have resolved the storage issue, the emphasis is on information processing. Additionally, they must be able to formulate those questions utilising a variety of tools, including analytic, economic, deep learning, and scientific techniques. What are Data Scientist roles?

Data Science 52

Data Science Computer Science Retail Data Mining 52

ProjectPro

APRIL 20, 2017

You have read some of the best Hadoop books , taken online hadoop training and done thorough research on Hadoop developer job responsibilities – and at long last, you are all set to get real-life work experience as a Hadoop Developer.

Hadoop 40

Hadoop Big Data Coding Project 40