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Handling Bursty Traffic in Real-Time Analytics Applications

Rockset

Hadoop was initially used but has since been replaced by Snowflake, Redshift and other databases. Earlier at Yahoo, he was one of the founding engineers of the Hadoop Distributed File System. One layer processes batches of historic data. He was also a contributor to the open source Apache HBase project.

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Cognizant Hadoop Interview Questions

ProjectPro

After taking comprehensive hands-on hadoop training, the placement season is finally upon you. You applied for a Cognizant Hadoop Job interview and fortunately, were shortlisted. It is just the technical hadoop job interview that separates you from your big data career.

Hadoop 52
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HCL Hadoop Interview Questions

ProjectPro

billion USD, 95000 professionals across diverse nationalities in 31 countries- India’s original IT garage startup, HCL, uses a data driven methodology to migrate ETL jobs into corresponding hadoop jobs. HCL has adopted hadoop as a viable alternative to reduce cost and speed up processing. With an annual revenue of $6.5

Hadoop 40
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5 Apache Spark Best Practices

Data Science Blog: Data Engineering

Introduction Spark’s aim is to create a new framework that was optimized for quick iterative processing, such as machine learning and interactive data analysis while retaining Hadoop MapReduce’s scalability and fault-tolerant. Spark could indeed run by itself, on Apache Mesos, or on Apache Hadoop, which is the most common.

Hadoop 52
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How LinkedIn uses Hadoop to leverage Big Data Analytics?

ProjectPro

Table of Contents LinkedIn Hadoop and Big Data Analytics The Big Data Ecosystem at LinkedIn LinkedIn Big Data Products 1) People You May Know 2) Skill Endorsements 3) Jobs You May Be Interested In 4) News Feed Updates Wondering how LinkedIn keeps up with your job preferences, your connection suggestions and stories you prefer to read?

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Why Real-Time Analytics Requires Both the Flexibility of NoSQL and Strict Schemas of SQL Systems

Rockset

After much internal debate, our team agreed to store every user event in Hadoop using a timestamp in a column named time_spent that had a resolution of a second. After debuting Project Nectar, we presented it to a new set of application developers. Take the Hive analytics database that is part of the Hadoop stack.

NoSQL 52
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SQL and Complex Queries Are Needed for Real-Time Analytics

Rockset

And when systems such as Hadoop and Hive arrived, it married complex queries with big data for the first time. Hive implemented an SQL layer on Hadoop’s native MapReduce programming paradigm. Earlier at Yahoo, he was one of the founding engineers of the Hadoop Distributed File System.

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