ProjectPro

MAY 19, 2015

5 Reasons to Learn Hadoop ​ Hadoop brings in better career opportunities in 2015 Learn Hadoop to pace up with the exponentially growing Big Data Market Increased Number of Hadoop Jobs Learn Hadoop to Make Big Money with Big Data Hadoop Jobs Learn Hadoop to pace up with the increased adoption of Hadoop by Big data companies Why learn Hadoop?

Hadoop 40

Hadoop Big Data NoSQL Database-centric 40

ProjectPro

JANUARY 19, 2022

Azure Data Engineers Jobs - The Demand Azure Data Engineer Salary Azure Data Engineer Skills What does an Azure Data Engineer Do? Data is an organization's most valuable asset, so ensuring it can be accessed quickly and securely should be a primary concern. This is where the Azure Data Engineer enters the picture.

Data Engineering 52

Data Engineering Data Engineer Engineering Scala 52

ProjectPro

MARCH 16, 2015

Here begins the journey through big data in healthcare highlighting the prominently used applications of big data in healthcare industry. This data was mostly generated by various regulatory requirements, record keeping, compliance and patient care. trillion towards healthcare data solutions in the Healthcare industry.

Healthcare 40

Healthcare Big Data Project Hospitality 40

ProjectPro

DECEMBER 7, 2016

Hive and HBase are both data stores for storing unstructured data. HBase is a NoSQL database used for real-time data streaming whereas Hive is not ideally a database but a MapReduce based SQL engine that runs on top of hadoop. Flipboard uses HBase to personalize the content feed for its users.

Technology 40

Technology NoSQL Hadoop Data Mining 40

ProjectPro

JUNE 26, 2015

With data sharing between mobile and navigation devices becoming easier, TomTom will soon make the self-driving car happen by leveraging meaningful big data analytics. - 12, May 2015, TheInquirer These are just some of the unusual innovative bigger big data solutions.

Big Data 40

Big Data Food Unstructured Data Data Analytics 40

ProjectPro

MAY 13, 2016

Hadoop and data warehouse technologies are optimized for various business requirements and can be used collectively, based on how they best fit the business use case. Using a Hadoop-only strategy can prove to be dangerous for any business’s data needs. An organization can deploy a big data solution only with a data warehouse.

Data Warehouse 40

Data Warehouse Hadoop Unstructured Data Big Data 40

ProjectPro

MAY 23, 2015

Table of Contents How Walmart uses Big Data? Use market basket analysis to classify shopping trips Walmart Data Analyst Interview Questions Walmart Hadoop Interview Questions Walmart Data Scientist Interview Question American multinational retail giant Walmart collects 2.5 How Walmart is tracking its customers?

Big Data 52

Big Data Data Analysis Hadoop Retail 52

ProjectPro

FEBRUARY 8, 2017

With the use of various SQL-on-Hadoop tools like Hive, Impala, Phoenix, Presto and Drill, query accelerators are bridging the gap between traditional data warehouse systems and the world of big data. 2) Big Data is no longer just Hadoop A common misconception is that Big Data and Hadoop are synonymous.

Big Data 40

Big Data Hadoop Data Lake Machine Learning 40

ProjectPro

NOVEMBER 5, 2014

When it came to data storage and retrieval, these technologies simply crumbled under the burden of such colossal amounts of data. Thanks to Hadoop, Hive and Hbase , these popular technologies now have the capability of handling large sets of raw unstructured data, efficiently, as well as economically.

MongoDB 40

MongoDB Hadoop NoSQL Big Data 40

ProjectPro

JULY 30, 2021

Apache Spark forms the complete big data solution along with HDFS, Yarn, Map-Reduce. Worker Role - It provides a solution for background services along with Web Role. Blob storage provides storing of unstructured data. It uses HTTP/HTTPS to access data from anywhere over the internet.

Cloud Computing 40

Cloud Computing Cloud Amazon Web Services AWS 40

ProjectPro

AUGUST 21, 2015

Hadoop vs RDBMS Criteria Hadoop RDBMS Datatypes Processes semi-structured and unstructured data. Processes structured data. Schema Schema on Read Schema on Write Best Fit for Applications Data discovery and Massive Storage/Processing of Unstructured data. are all examples of unstructured data.

Hadoop 40

Hadoop Big Data Metadata Java 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. How do you Create a Good Big Data Project?

Big Data 52

Big Data Coding Project Hadoop 52

ProjectPro

MARCH 14, 2014

In 2015, big data has evolved beyond the hype. 87% of companies using big data believe that within next 3 years big data analytics will redefine the competitive landscape of various industries. Work on Interesting Big Data and Hadoop Projects to build an impressive project portfolio! How big data helps businesses?

Hadoop 40

Hadoop Big Data Data Mining Retail 40

Knowledge Hut

DECEMBER 13, 2023

HData Systems At HData Systems, we develop unique data analysis tools that break down massive data and turn it into knowledge that is useful to your company. Then, using both structured and unstructured data, we transform them into easily observable measures to assist you in choosing the best options for your company.

Big Data 52

Big Data Consulting Hadoop Amazon Web Services 52