Knowledge Hut

SEPTEMBER 6, 2023

Data Analysis : Strong data analysis skills will help you define ways and strategies to transform data and extract useful insights from the data set. Big Data Frameworks : Familiarity with popular Big Data frameworks such as Hadoop, Apache Spark, Apache Flink, or Kafka are the tools used for data processing.

Big Data 52

Big Data Certification Hadoop Kafka 52

ProjectPro

SEPTEMBER 26, 2021

Transform unstructured data in the form in which the data can be analyzed Develop data retention policies Skills Required to Become a Big Data Engineer Big Data Engineer Degree - Educational Background/Qualifications Bachelor’s degree in Computer Science, Information Technology, Statistics, or a similar field is preferred at an entry level.

Big Data 52

Big Data Data Engineering Data Engineer Engineering 52

ProjectPro

MARCH 7, 2016

Most of the big data certification initiatives come from the industry with the intent to establish equilibrium between the supply and demand for skilled big data professionals. Read below to find out which big data certification fits your needs and works best for your career goals.

Big Data 40

Big Data Certification Hadoop Big Data Skills 40

ProjectPro

NOVEMBER 22, 2021

The most important aspect of Spark SQL & DataFrame is PySpark UDF (i.e., We write a Python function and wrap it in PySpark SQL udf() or register it as udf and use it on DataFrame and SQL , respectively, in the case of PySpark. By passing the function to PySpark SQL udf(), we can convert the convertCase() function to UDF().

Hadoop 52

Hadoop Python Datasets Metadata 52

ProjectPro

JUNE 16, 2022

These templates simplify creating pipelines for several uses, such as archiving data to Amazon S3, regularly processing log files, and running periodic SQL queries. Flexible AWS pipeline is flexible, and it can run SQL queries directly on the databases or configure and run tasks like Amazon EMR.

Data Pipeline 59

Data Pipeline AWS Amazon Web Services Data Consolidation 59

ProjectPro

AUGUST 9, 2018

No impact Database Engine MySQL, Oracle DB, SQL Server, Amazon Aurora, Postgre SQL Redshift NoSQL Primary Usage Feature Conventional Databases Data warehouse Database for dynamically modified data Multi A-Z Replication Additional Service Manual In-built 7. Maintenance Window 30 minutes every week. 30 minutes every week.

AWS 40

AWS Amazon Web Services Cloud Computing Database 40

Knowledge Hut

OCTOBER 30, 2023

This article will provide big data project examples, big data projects for final year students , data mini projects with source code and some big data sample projects. The article will also discuss some big data projects using Hadoop and big data projects using Spark.

Big Data 52

Big Data Coding Project Medical 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

JUNE 24, 2021

A perfect blend of technical and soft skills like excellent communication skills, storytelling, a keen attention to detail and a good ability to make logical and mathematical decisions will take you a long way in your data analytics career. Apache Spark is an open source data processing engine used for large datasets.

Data Analytics 40

Data Analytics Project Insurance Hadoop 40

ProjectPro

APRIL 1, 2017

News on Hadoop-March 2017 The cloud is disrupting Hadoop. Zdnet.com, March 6, 2017 Forrester estimates that organizations will spend $800 million in hadoop and its related services in 2017. Just like Hadoop is not designed for the cloud, it is not meant for doing matrix math that deep learning requires.

Hadoop 40

Hadoop Data Lake Electronics Big Data 40