Big Data ETL Tools Structured Data Unstructured Data 
Knowledge Hut
NOVEMBER 3, 2023
MongoDB is a NoSQL database that’s been making rounds in the data science community. MongoDB’s unique architecture and features have secured it a place uniquely in data scientists’ toolboxes globally. Let us see where MongoDB for Data Science can help you. How are MongoDB and Data Science Shaping the Future?
Knowledge Hut
DECEMBER 26, 2023
Using Big Data, they provide technical solutions and insights that can help achieve business goals. They transform data into easily understandable insights using predictive, prescriptive, and descriptive analysis. They are also responsible for improving the performance of data pipelines.
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AltexSoft
AUGUST 29, 2023
It is a versatile platform for exploring, refining, and analyzing petabytes of information that continually flow in from various data sources. Who needs a data lake? If the intricacies of big data are becoming too much for your existing systems to handle, a data lake might be the solution you’re seeking.
ProjectPro
DECEMBER 7, 2021
Data pipelines are a significant part of the big data domain, and every professional working or willing to work in this field must have extensive knowledge of them. Table of Contents What is a Data Pipeline? The Importance of a Data Pipeline What is an ETL Data Pipeline? What is a Big Data Pipeline?
ProjectPro
SEPTEMBER 30, 2014
Hadoop is extensively talked about as the best platform for ETL because it is considered an all-purpose staging area and landing zone for enterprise big data. But perhaps most importantly at this point in the adoption curve, it represents an excellent starting point for leveraging Hadoop to tackle Big Data challenges.”
ProjectPro
OCTOBER 15, 2014
Table of contents Hive vs Pig What is Big Data and Hadoop? Not only this, few of the people are as well of the thought that Big Data and Hadoop are one and the same. What is Big Data and Hadoop? 11) Pig supports Avro whereas Hive does not.
ProjectPro
SEPTEMBER 14, 2016
In our earlier post, we have listed out the various job roles available for hadoop professionals : Hadoop Developer, Hadoop Administrator, Hadoop Architect, Hadoop Tester and Data Scientist. “A Hadoop Developers job role is a similar to that of a software developer but in the big data domain.
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