ProjectPro

APRIL 1, 2016

News on Hadoop- March 2016 Hortonworks makes its core more stable for Hadoop users. March 1, 2016. Hortonworks Data Platform 2.4, March 4, 2016. eWeek.com Syncsort has made it easy for mainframe data to work in Hadoop and Spark by upgrading its DMX-h data integration software. March 7, 2016.

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Hadoop BI Big Data Big Data Tools 52

ProjectPro

MARCH 16, 2015

There is a lot of buzz around big data making the world a better place and the best example to understand this is analysing the uses of big data in healthcare industry. Here begins the journey through big data in healthcare highlighting the prominently used applications of big data in healthcare industry.

Healthcare 40

Healthcare Big Data Project Hospitality 40

ProjectPro

AUGUST 1, 2016

News on Hadoop-July 2016 Driven 2.2 July 4, 2016. a leader in Application Performance Monitoring (APM) for big data applications has launched its next version – Driven 2.2. July 12, 2016. Source: [link] ) Wayne State U Deploys Analytics with SAS and Hadoop. July 14, 2016. July 15, 2016.theregister.co.uk

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Hadoop Consulting Big Data Unstructured Data 40

ProjectPro

MAY 20, 2015

It is difficult to stay up-to-date with the latest developments in IT industry especially in a fast growing area like big data where new big data companies, products and services pop up daily. With the explosion of Big Data, Big data analytics companies are rising above the rest to dominate the market.

Big Data 40

Big Data Hadoop Business Analyst Unstructured Data 40

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.”

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Hadoop Unstructured Data ETL Tools ETL System 52

ProjectPro

JUNE 9, 2015

Big Data Hadoop skills are most sought after as there is no open source framework that can deal with petabytes of data generated by organizations the way hadoop does. 2014 was the year people realized the capability of transforming big data to valuable information and the power of Hadoop in impeding it.

Hadoop 52

Hadoop Big Data Skills Big Data Retail 52

ProjectPro

MARCH 21, 2016

In 1990, analysts predicted that the big data era would witness the death of Mainframes, due to the advent of various other cheap computing resources. Using Hadoop distributed processing framework to offload data from the legacy Mainframe systems, companies can optimize the cost involved in maintaining Mainframe CPUs.

Hadoop 40

Hadoop Insurance Big Data Retail 40

ProjectPro

SEPTEMBER 11, 2015

By 2018, the Big Data market will be about $46.34 The availability of skilled big data Hadoop talent will directly impact the market. Big Data and Hadoop are moving out of its experimental stage and Hadoop is continuously maturing after having completed 10 years. Big Data is not going to go away.

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Hadoop Java BI Big Data 52

Edureka

FEBRUARY 7, 2023

Dynamic data masking serves several important functions in data security. Azure Synapse Interview Questions – Analytics The interview questions and responses for azure data engineers for synapse analytics and stream analytics are covered in this section. However, there are some distinctions.

Data Engineering 52

Data Engineering Data Engineer Engineering Data Lake 52

ProjectPro

OCTOBER 15, 2014

Table of contents Hive vs Pig What is Big Data and Hadoop? Get FREE Access to Data Analytics Example Codes for Data Cleaning, Data Munging, and Data Visualization Hadoop technology is the buzz word these days but most of the IT professionals still are not aware of the key components that comprise the Hadoop Ecosystem.

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Hadoop Unstructured Data Java SQL 52

ProjectPro

MARCH 23, 2016

In reference to Big Data) Developers of Google had taken this quote seriously, when they first published their research paper on GFS (Google File System) in 2003. Little did anyone know, that this research paper would change, how we perceive and process data. Without much ado, let’s begin with Hadoop explained in detail.

Hadoop 40

Hadoop IT Big Data Retail 40

ProjectPro

SEPTEMBER 26, 2014

The toughest challenges in business intelligence today can be addressed by Hadoop through multi-structured data and advanced big data analytics. Big data technologies like Hadoop have become a complement to various conventional BI products and services.

Business Intelligence 40

Business Intelligence Hadoop BI Relational Database 40

ProjectPro

SEPTEMBER 1, 2015

.” The most impressive thing about this is that mankind is capable of storing, processing and analysing this incredible bulk of data using open source frameworks like Hadoop in reasonable time. Once big data is loaded into Hadoop, what is the best way to use this data?

Hadoop 40

Hadoop Java Unstructured Data SQL 40

ProjectPro

JUNE 4, 2015

The basic principle of working behind Apache Hadoop is to break up unstructured data and distribute it into many parts for concurrent data analysis. Big data applications using Apache Hadoop continue to run even if any of the individual cluster or server fails owing to the robust and stable nature of Hadoop.

Hadoop 52

Hadoop Architecture IT Java 52

ProjectPro

MARCH 23, 2015

If you are new to Hadoop learning read our previous articles to get an overview on What is Big Data & Why Hadoop , Hadoop Architecture and Its Components. Get FREE Access to Data Analytics Example Codes for Data Cleaning, Data Munging, and Data Visualization The main motive of the Hadoop 2.0

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Hadoop Big Data Architecture Metadata 40