ProjectPro

JUNE 26, 2015

Big data is in its beginnings and is growing at a rapid pace. Big data applications differ from the expected to the unexpected and some of them are even unusual and mysterious. Big data has endless possibilities and this is the right time for organizations to find the big data applications in their business.

Big Data 40

Big Data Food Unstructured Data Retail 40

ProjectPro

APRIL 27, 2015

Big data is the fuel driving most of the data driven businesses today by accelerating growth, informing strategy and improving the operational efficiency. Wikibon predict that the big data technology market will grow by 22% reaching $33.31 billion in 2015.According

Big Data 40

Big Data Retail Hadoop Unstructured Data 40

Knowledge Hut

DECEMBER 26, 2023

What is Data Science? What are the roles and responsibilities of a Data Engineer? How does one become a Data engineer, and what skills are required? Our primary focus in this article will be to answer all these questions and take you a step forward towards your dream of becoming a Data engineer. And many more.

Data Engineering 98

Data Engineering Data Engineer Engineering Pipeline-centric 98

Towards Data Science

MAY 3, 2023

VDK helps you easily perform complex operations, such as data ingestion and processing from different sources, using SQL or Python. You can use VDK to build data lakes and ingest raw data extracted from different sources, including structured, semi-structured, and unstructured data.

Data Lake 84

Data Lake Data SQL Data Warehouse 84

ProjectPro

MAY 23, 2015

It takes in approximately $36 million dollars from across 4300 US stores everyday.This article details into Walmart Big Data Analytical culture to understand how big data analytics is leveraged to improve Customer Emotional Intelligence Quotient and Employee Intelligence Quotient.

Big Data 52

Big Data Data Analysis Hadoop Retail 52

ProjectPro

APRIL 14, 2015

1 of 18 people in US today use big data analytics in finding companionship.Couples are finding love online and online dating today has become a big business. Online dating sites combine "data" and "analytics" to help people find their perfect soul mate. since 2008 and the Canadian dating industry amounts to $153 million.

Big Data 52

Big Data Data Analysis Algorithm MongoDB 52

ProjectPro

MAY 5, 2015

I have worked for more than 15 years in Java and J2EE and have recently developed an interest in Big Data technologies and Machine learning due to a big need at my workspace. I was fortunate enough to get the chance to work on a Big Data project which involved deploying a Hadoop cluster and this helped me immensely.

Big Data 40

Big Data Project Hadoop Java 40

ProjectPro

JUNE 2, 2015

2015 will be the year that many big data companies will take their big data analytics to the next level by turning big data into actionable insights. This will supercharge the marketing tactics of the business and make data precious than ever. May 6, UK IT News V3.co.uk

Big Data 40

Big Data Hadoop Banking Retail 40

Databand.ai

DECEMBER 13, 2022

1) Joseph Machado Senior Data Engineer at LinkedIn Joseph is an experienced data engineer, holding a Master’s degree in Electrical Engineering from Columbia University and having spent time on the teams at Annalect, Narrativ, and most recently LinkedIn.

Data Engineering 52

Data Engineering Data Engineer Engineering AWS 52

AltexSoft

AUGUST 29, 2023

The term was coined by James Dixon , Back-End Java, Data, and Business Intelligence Engineer, and it started a new era in how organizations could store, manage, and analyze their data. This article explains what a data lake is, its architecture, and diverse use cases. Who needs a data lake?

Data Lake 52

Data Lake Architecture IT Amazon Web Services 52

Monte Carlo

JUNE 14, 2023

For data engineers, good data pipeline architecture is critical to solving the 5 v’s posed by big data: volume, velocity, veracity, variety, and value. Amazon S3 – An object storage service for structured and unstructured data, S3 gives you the compute resources to build a data lake from scratch.

Data Pipeline 52

Data Pipeline Architecture Data Lake Data Warehouse 52

Cloudera

AUGUST 20, 2021

Legal and Regulatory Requirements: CDP delivers data products to address complex and continuously evolving legal and regulatory requirements by offering a programmatic way to dynamically manage data permissions at a granular level by type of data asset and for different roles / users interacting with and manipulating those data assets. .

Data Warehouse 96

Data Warehouse Data Architecture Cloud 96

Monte Carlo

AUGUST 19, 2023

With companies moving their data platforms to the cloud, the emergence of cloud-native solutions ( data warehouse vs data lake or even a data lakehouse ) have taken over the market, offering more accessible and affordable options for storing data relative to many on-premises solutions. Is it properly formatted?

Building 52

Building BI Data Lake Data Governance 52

Edureka

JULY 18, 2023

This article explores AI’s use in banking, focusing on how it affects cybersecurity and fraud prevention as well as the advantages it offers the sector. In this article, we examine how AI chatbots are used in banking and how they affect both operational effectiveness and customer service.

Banking 40

Banking Algorithm Media Machine Learning 40

AltexSoft

MAY 27, 2022

This article describes how data and machine learning help control the length of stay — for the benefit of patients and medical organizations. The tool processes both structured and unstructured data associated with patients to evaluate the likelihood of their leaving for a home within 24 hours.

Hospitality 98

Hospitality Medical Healthcare Algorithm 98

Rockset

JUNE 7, 2022

On the other hand, non-relational databases (commonly referred to as NoSQL databases) are flexible databases for big data and real-time web applications. These databases were born out of necessity for storing large amounts of unstructured data. There are many NoSQL databases available in the market.

MongoDB 52

MongoDB NoSQL Non-relational Database Relational Database 52

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.”

Hadoop 52

Hadoop Unstructured Data ETL Tools ETL System 52

AltexSoft

NOVEMBER 10, 2021

Let’s elaborate on this and figure out how a data lakehouse is different from its ancestors and name inspirers in more detail. Data warehouse vs data lake vs data lakehouse: What’s the difference. Data warehouse. Traditional data warehouse platform architecture. This list isn’t exhaustive.

Architecture 52

Architecture Data Lake Data Warehouse Metadata 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

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.

Hadoop 52

Hadoop Java BI Big Data 52

ProjectPro

JUNE 4, 2015

HDFS in Hadoop architecture provides high throughput access to application data and Hadoop MapReduce provides YARN based parallel processing of large data sets. The basic principle of working behind Apache Hadoop is to break up unstructured data and distribute it into many parts for concurrent data analysis.

Hadoop 52

Hadoop Architecture IT Java 52

ProjectPro

NOVEMBER 14, 2015

Big data has taken over many aspects of our lives and as it continues to grow and expand, big data is creating the need for better and faster data storage and analysis. These Apache Hadoop projects are mostly into migration, integration, scalability, data analytics, and streaming analysis. Scalability 4.Link

Hadoop 52

Hadoop Project Big Data Healthcare 52

ProjectPro

OCTOBER 20, 2021

It has automated components of the traditional ML Flow from data acquisition, experimentation and even logging—definitely, a must-try within the Azure ecosystem. Vertex AI (Google) : Google recently (May 2021) launched a unified AI platform to build, deploy and scale machine learning models for individuals and enterprises.

Machine Learning 52

Machine Learning Algorithm Government Data Science 52