ProjectPro

AUGUST 24, 2021

Within no time, most of them are either data scientists already or have set a clear goal to become one. Nevertheless, that is not the only job in the data world. And, out of these professions, this blog will discuss the data engineering job role. Also, explore other alternatives like Apache Hadoop and Spark RDD.

Data Engineering 52

Data Engineering Data Engineer Coding Project 52

AltexSoft

JUNE 26, 2023

Data collection revolves around gathering raw data from various sources, with the objective of using it for analysis and decision-making. It includes manual data entries, online surveys, extracting information from documents and databases, capturing signals from sensors, and more. No wonder only 0.5

Data Collection 52

Data Collection Machine Learning Unstructured Data Non-relational Database 52

ProjectPro

JUNE 24, 2021

Data Cleaning: To improve the data quality and filter the noisy, inaccurate, and irrelevant data for analysis, data cleaning is a key skill needed for all analytics job roles. Microsoft Excel: A successful Excel spreadsheet helps to organize raw data into a more readable format.

Data Analytics 40

Data Analytics Project Insurance Hadoop 40

ProjectPro

JANUARY 31, 2023

Big data operations require specialized tools and techniques since a relational database cannot manage such a large amount of data. Big data enables businesses to gain a deeper understanding of their industry and helps them extract valuable information from the unstructured and raw data that is regularly collected.

Big Data 52

Big Data Hadoop AWS Relational Database 52

ProjectPro

JANUARY 20, 2016

Using Hive SQL professionals can use Hadoop like a data warehouse. Hive allows professionals with SQL skills to query the data using a SQL like syntax making it an ideal big data tool for integrating Hadoop and other BI tools.

Hadoop 52

Hadoop SQL Java Big Data 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 11, 2021

Data Lake vs Data Warehouse - Data Timeline Data lakes retain all data, including data that is not currently in use. Hence, data can be kept in data lakes for all times, to be usfurther analyse the data. Raw data is allowed to flow into a data lake, sometimes with no immediate use.

Data Lake 52

Data Lake Data Warehouse Cloud Hadoop 52

ProjectPro

JULY 8, 2021

Kafka Streams and Kafka Connect were used to keep track of the threat of the COVID-19 virus and analyze the data for a more thorough response on local, state, and federal levels. Kafka is an integral part of Netflix’s real-time monitoring and event-processing pipeline.

Kafka 40

Kafka Architecture IT Big Data 40

ProjectPro

NOVEMBER 14, 2015

Data Integration 3.Scalability Specialized Data Analytics 7.Streaming To this group, we add a storage account and move the raw data. Then we create and run an Azure data factory (ADF) pipelines. Following this, we spring up the Azure spark cluster to perform transformations on the data using Spark SQL.

Hadoop 52

Hadoop Project Big Data Healthcare 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. How Data Engineering helps Businesses? |

Data Engineering 40

Data Engineering Data Engineer Engineering Hadoop 40

ProjectPro

APRIL 15, 2016

Apache Pig big data tools, is used in particular for iterative processing, research on raw data and for traditional ETL data pipelines. 14) What are some of the Apache Pig use cases you can think of?

Hadoop 40

Hadoop Java Big Data SQL 40

U-Next

SEPTEMBER 23, 2022

Traditional data processing technologies have presented numerous obstacles in analyzing and researching such massive amounts of data. To address these issues, Big Data technologies such as Hadoop were established. These Big Data tools aided in the realization of Big Data applications. .

Big Data Ecosystem 40

Big Data Ecosystem Big Data Healthcare Data Lake 40