ProjectPro

JULY 6, 2015

Applicants must understand why a particular job position is open and must distinguish themselves as to how they would fit into given big data opportunity and the goals of the big data companies Applicants must show the recruiters what they are doing to enhance their big data skills.

Hadoop 40

Hadoop Big Data Recruitment Big Data Skills 40

ProjectPro

JUNE 17, 2016

This is the skills recommendation for an existing Hadoop developer who has created an amazing profile in LinkedIn Having the relevant known big data skills listed on your LinkedIn profile will let your connections endorse you for these skills.

Hadoop 40

Hadoop Recruitment Big Data NoSQL 40

ProjectPro

AUGUST 9, 2018

You can validate and control the lifecycle of streaming data using registered Apache Avro schemas by the AWS Glue Schema Registry. Schema Registry is useful for Apache Kafka, AWS Lambda, Amazon Managed Streaming for Apache Kafka (MSK), Amazon Kinesis Data Streams, Apache Flink, and Amazon Kinesis Data Analytics for Apache Flink.

AWS 40

AWS Amazon Web Services Cloud Computing Database 40

ProjectPro

APRIL 20, 2017

Having multiple hadoop projects on your resume will help employers substantiate that you can learn any new big data skills and apply them to real life challenging problems instead of just listing a pile of hadoop certifications. Get started now on your big data journey. Implementing a Big Data project on AWS.

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Hadoop Big Data Coding Project 40

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

NOVEMBER 22, 2021

These DStreams allow developers to cache data in memory, which may be particularly handy if the data from a DStream is utilized several times. The cache() function or the persist() method with proper persistence settings can be used to cache data. You can learn a lot by utilizing PySpark for data intake processes.

Hadoop 52

Hadoop Python Datasets Metadata 52

ProjectPro

SEPTEMBER 26, 2021

Your experience in previous organizations will help develop and enhance these skills. As a Big Data Engineer, you shall also know and understand the Big Data architecture and Big Data tools. Hadoop , Kafka , and Spark are the most popular big data tools used in the industry today.

Big Data 52

Big Data Data Engineering Data Engineer Engineering 52

ProjectPro

JUNE 24, 2021

Big Data Analytics Projects for Students using Hadoop: Working on data analytics projects is an excellent way to gain a better understanding of the popular big data tools like hadoop , spark, kafka, kylin, and others. The stored data can be accessed and used for its necessary purposes.

Data Analytics 40

Data Analytics Project Insurance Hadoop 40

ProjectPro

APRIL 1, 2017

Many enterprises announced the release of their novel big data solutions at the Strata +Hadoop world conference held in San Jose this week. i) MapR unveiled its new big data solution MapR edge that will capture , process and analyse data from IoT devices and provide quick aggregation of insights.

Hadoop 40

Hadoop Data Lake Electronics Big Data 40