ProjectPro

FEBRUARY 19, 2016

If you are currently in the big data industry , then attending at least one big data conference or event is not an option- it is a must. Attending big data conferences is one of the best things professionals can do to advance their career and gain insights from peers in the industry.

Big Data 40

Big Data Data Mining Hadoop R (Programming) 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

FEBRUARY 8, 2016

The ‘Past’ here, refers to any particular time in which an event had occurred and this could be a month ago or even just a minute ago. The vast majority of big data analytics used by organizations falls into descriptive analytics. The main techniques used here are data mining and data aggregation.

Data Mining 56

Data Mining Big Data Medical Healthcare 56

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

ProjectPro

DECEMBER 22, 2016

Data Analyst Interview Questions and Answers 1) What is the difference between Data Mining and Data Analysis? Data Mining vs Data Analysis Data Mining Data Analysis Data mining usually does not require any hypothesis. Data analysis involves data cleaning.

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Data Mining Data Cleanse Datasets Data Analysis 52

ProjectPro

JANUARY 25, 2022

RDDs are also fault-tolerant; thus, they will automatically recover in the event of a failure. RDD is an acronym for- Resilient - It is fault-tolerant and capable of regenerating data in the event of a failure. Distributed - The data in a cluster is distributed among the various nodes.

Big Data 52

Big Data Data Process Process Kafka 52

ProjectPro

MAY 23, 2015

For example, an application can be written to subscribe to the Twitter firehose of every tweet written; such an application can analyse the tweets to determine Twitter's most influential users, or identify suddenly prominent events as they occur. Walmart uses data mining to discover patterns in point of sales data.

Big Data 52

Big Data Data Analysis Hadoop Retail 52

ProjectPro

MARCH 12, 2016

PayPal uses semi-structured data in Hadoop, for predetermined business intelligence and big data analytics projects and stores it in the cloud - so that PayPal employees across the globe can access it. 300 variables are calculated per event for some of the machine learning models to find a potential fraudulent transaction.

Big Data 52

Big Data Data Analytics Hadoop Algorithm 52

ProjectPro

AUGUST 11, 2021

Analysis Layer: The analysis layer supports access to the integrated data to meet its business requirements. The data may be accessed to issue reports or to find any hidden patterns in the data. Data mining may be applied to data to dynamically analyze the information or simulate and analyze hypothetical business scenarios.

Data Lake 52

Data Lake Data Warehouse Cloud Hadoop 52

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 17, 2014

What is Big Data and what is the Big Deal? million event invites, 1.9 12 Terabytes of data was generated through Twitter feeds in the last 6 hours, 5 million global share trades per second, millions of photos and videos. Big Data Analytics tackles even the most challenging business problems through high-performance analytics.

Hadoop 52

Hadoop Big Data Unstructured Data Retail 52

ProjectPro

JULY 30, 2021

As an aspiring machine learning professional, a portfolio is the most important asset to have in your job search. But what if you don’t have a machine learning portfolio because you are going to need diverse skills and projects under your belt to land a top machine learning gig. PREVIOUS NEXT <

Machine Learning 40

Machine Learning Project Deep Learning Banking 40

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DECEMBER 17, 2021

With Bitcoin witnessing initial success, many investors consider cryptocurrency as an asset for their portfolio. Logs Analysis Data Science Take-Home Challenge Whenever an individual visits a website, machines in the backend store log files containing information about events within an operation system, usage patterns, etc.

Data Science 52

Data Science Medical Datasets Machine Learning 52

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APRIL 2, 2015

Retail Analytics truly started with Target having figured out, quite early on – that data analytics can take the consumer buying experience to a whole other level. All this results in huge amounts of Big Data being generated which can be leveraged through Retail Analytics to get a precise view of demand and sales volume.

Retail 40

Retail Hadoop Big Data Data Mining 40

ProjectPro

AUGUST 5, 2021

If you are looking to break into AI and don’t have a professional qualification, the best way to land a job is to showcase some interesting artificial intelligence projects on your portfolio or show your contributions to open-source AI projects. Waze data was used to identify heavy traffic events.

Project 52

Project Datasets Deep Learning Machine Learning 52

ProjectPro

AUGUST 16, 2021

Machine Learning Trends in Recent Years Deep Learning Trends in Recent Years With the global machine learning job market projected to be worth $31 billion by the end of 2024 and fierce competition in the industry, a machine learning project portfolio is a must-have. 3) Can one do Machine Learning projects in an Internship?

Machine Learning 40

Machine Learning Coding Project Deep Learning 40