ProjectPro

NOVEMBER 14, 2015

Big data has taken over many aspects of our lives and as it continues to grow and expand, big data is creating the need for better and faster data storage and analysis. These Apache Hadoop projects are mostly into migration, integration, scalability, data analytics, and streaming analysis.

Hadoop 52

Hadoop Project Big Data Healthcare 52

Edureka

FEBRUARY 9, 2023

Proficiency in programming languages: Knowledge of programming languages such as Python and SQL is essential for Azure Data Engineers. Familiarity with cloud-based analytics and big data tools: Experience with cloud-based analytics and big data tools such as Apache Spark, Apache Hive, and Apache Storm is highly desirable.

Data Engineering 52

Data Engineering Data Engineer Engineering Amazon Web Services 52

ProjectPro

APRIL 11, 2016

Let’s face it; the Hadoop Interview process is a tough cookie to crumble. If you are planning to pursue a job in the big data domain as a Hadoop developer , you should be prepared for both open-ended interview questions and unique technical hadoop interview questions asked by the hiring managers at top tech firms.

Hadoop 40

Hadoop Big Data Java Unstructured Data 40

Knowledge Hut

JUNE 20, 2023

The ML engineers act as a bridge between software engineering and data science. They take raw data from the pipelines and enhance programming frameworks using the big data tools that are now accessible. They transform unstructured data into scalable models for data science.

Machine Learning 52

Machine Learning Data Engineering Data Engineer Engineering 52

ProjectPro

JULY 27, 2021

Top 100+ Data Engineer Interview Questions and Answers The following sections consist of the top 100+ data engineer interview questions divided based on big data fundamentals, big data tools/technologies, and big data cloud computing platforms.

Data Engineering 40

Data Engineering Data Engineer Engineering Hadoop 40

AltexSoft

JUNE 26, 2023

From the perspective of data science, all miscellaneous forms of data fall into three large groups: structured, semi-structured, and unstructured. Key differences between structured, semi-structured, and unstructured data. Unstructured data represents up to 80-90 percent of the entire datasphere.

Data Collection 52

Data Collection Machine Learning Unstructured Data Non-relational Database 52

ProjectPro

MAY 31, 2021

Ace your big data interview by adding some unique and exciting Big Data projects to your portfolio. This blog lists over 20 big data projects you can work on to showcase your big data skills and gain hands-on experience in big data tools and technologies.

Big Data 52

Big Data Coding Project Hadoop 52

ProjectPro

AUGUST 24, 2021

Thus, as a learner, your goal should be to work on projects that help you explore structured and unstructured data in different formats. Data Warehousing: Data warehousing utilizes and builds a warehouse for storing data. A data engineer interacts with this warehouse almost on an everyday basis.

Data Engineering 52

Data Engineering Data Engineer Coding Project 52

ProjectPro

JUNE 24, 2021

With more complex data, Excel allows customization of fields and functions that can make calculations based on the data in the excel spreadsheet. Data analytics projects for practice help one identify their strengths and weaknesses with various big data tools and technologies.

Data Analytics 40

Data Analytics Project Insurance Hadoop 40

ProjectPro

AUGUST 11, 2021

Is Snowflake a data lake or data warehouse? Is Hadoop a data lake or data warehouse? Storage Layer: This is a centralized repository where all the data loaded into the data lake is stored. The storage layer can be considered a landing zone for all the data that is to be stored in the data lake.

Data Lake 52

Data Lake Data Warehouse Cloud Hadoop 52

ProjectPro

AUGUST 6, 2015

Let’s take a look at how Amazon uses Big Data- Amazon has approximately 1 million hadoop clusters to support their risk management, affiliate network, website updates, machine learning systems and more. 81% of the organizations say that Big Data is a top 5 IT priority. ” Interesting?

Big Data 52

Big Data Hadoop Insurance Media 52

Databand.ai

DECEMBER 13, 2022

Follow Joseph on LinkedIn 2) Charles Mendelson Associate Data Engineer at PitchBook Data Charles is a skilled data engineer focused on telling stories with data and building tools to empower others to do the same, all in the pursuit of guiding a variety of audiences and stakeholders to make meaningful decisions.

Data Engineering 52

Data Engineering Data Engineer Engineering AWS 52