ProjectPro

JUNE 29, 2016

A quick search for the term “learn hadoop” showed up 856,000 results on Google with thousands of blogs, tutorials, big data application demos, online MOOC offering hadoop training and best hadoop books for anyone willing to learn hadoop. will be most sought after in the IT industry than those who work on legacy code.

Hadoop 40

Hadoop Big Data Banking Consulting 40

Cloudera

AUGUST 17, 2020

With the industry facing so much change, and with so many new opportunities to leverage big data, analytics and unique insights, we sat down with Vijay Raja, Director of Industry & Solutions Marketing at Cloudera to get his views on how the sector is changing and where it goes next.

Telecommunication 92

Telecommunication Big Data Data Analytics Technology 92

U-Next

FEBRUARY 26, 2023

Average Salary per annum: INR 10 lakhs Number of Employees: 1719 Alteryx Alteryx is a data analytics company founded in 2006. Alteryx has been profitable since 2010, and as of March 2019, its market cap was $1 billion. The company’s headquarters are located in California, and it currently has over 300 employees.

Data Science 98

Data Science Machine Learning Food Consulting 98

Cloudera

SEPTEMBER 8, 2020

With the industry facing so much change, and with so many new opportunities to leverage big data, analytics, and unique insights, we sat down with Vijay Raja, Director of Industry & Solutions Marketing at Cloudera to get his views on how the sector is changing and where it goes next.

Telecommunication 66

Telecommunication Big Data Data Analytics Technology 66

Knowledge Hut

MARCH 27, 2024

You can check out the Big Data Certification Online to have an in-depth idea about big data tools and technologies to prepare for a job in the domain. To get your business in the direction you want, you need to choose the right tools for big data analysis based on your business goals, needs, and variety.

Big Data 52

Big Data Data Analytics MongoDB Big Data Tools 52

U-Next

AUGUST 11, 2022

Big Data interpretation relies heavily on Business intelligence (BI) (BI), which is quickly expanding in importance. Too Big to Ignore: The Business Case for Big Data by Phil Simon . “Too Big to Ignore,” one of the big data-based books, provides a fantastic introduction to the subject.

BI 40

BI Business Intelligence Entertainment Big Data 40

Knowledge Hut

DECEMBER 28, 2023

Generally, cloud computing is identified to be of 3 types- Software as a Service (SaaS) Platform as a Service (PaaS) Infrastructure as a Service (IaaS) Advantages of Machine Learning with Cloud Computing Most companies use cloud computing today to conduct machine learning and store their essential data.

Cloud Computing 52

Cloud Computing Machine Learning Cloud Google Cloud 52

U-Next

MARCH 12, 2023

The programming language is used in practically every sector, including application or web development, Big Data, Machine Learning, Artificial Intelligence, mobile development, and so on. The Java programming language is one of the most widely employed languages in the software world.

Java 96

Java Programming Language Coding Utilities 96

Knowledge Hut

DECEMBER 21, 2023

The authors then provide a systematic literature review of studies that address security threats to cloud computing and mitigation techniques and were published between 2010 and 2020. The paper suggests the data breaches, Insider threats and DDoS attack are most discussed threats to the security of cloud computing.

Cloud Computing 52

Cloud Computing Cloud Algorithm Healthcare 52

ProjectPro

JANUARY 19, 2022

Independently create data-driven solutions that are accurate and informative. Interact with the data scientists team and assist them in providing suitable datasets for analysis. Leverage various big data engineering tools and cloud service providing platforms to create data extractions and storage pipelines.

Data Engineering 52

Data Engineering Data Engineer Engineering Amazon Web Services 52

LinkedIn Engineering

OCTOBER 19, 2023

To enable the ingestion and real-time processing of enormous volumes of data, LinkedIn built a custom stream processing ecosystem largely with tools developed in-house (and subsequently open-sourced). In 2010, they introduced Apache Kafka , a pivotal Big Data ingestion backbone for LinkedIn’s real-time infrastructure.

Process 119

Process Lambda Architecture Kafka Machine Learning 119

ProjectPro

AUGUST 25, 2016

Considering the Hadoop Job trends in 2010 about Hadoop development, there were none as organizations were not aware of what Hadoop is all about. Accenture, in partnership with Hortonworks, helps organizations create analytic solutions in areas consisting of fraud detection, sensor networks and data lakes based on Apache Hadoop.

Hadoop 40

Hadoop Data Lake Big Data Programming Language 40

Towards Data Science

APRIL 6, 2023

ENEM 2010, Human sciences and its technologies. This variable simulates the ‘year’ when the scraping script should execute, starting in 2010 and being automatically incremented (+1) by the end of the task execution. This way, each task run will only process data from one year. Image by Author. Variables list. Image by Author.

AWS 81

AWS Data Pipeline Amazon Web Services Python 81

Zalando Engineering

JANUARY 11, 2021

It is named after Paul the Octopus , who correctly chose the winner team of a match at FIFA 2010, with a small error rate. The experimental data were collected from each product team through tracking events (we track only users who provided appropriate consent). This inconsistency resulted in corrupted and missing data.

Scala 40

Scala Data Schemas Engineering Consulting 40

AltexSoft

AUGUST 29, 2023

In 2010, a transformative concept took root in the realm of data storage and analytics — a data lake. 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. Who needs a data lake?

Data Lake 52

Data Lake Architecture IT Amazon Web Services 52

ProjectPro

JULY 22, 2016

Data lake is gaining momentum across various organizations and everyone wants to know how to implement a data lake and why. There are several people writing that data lakes are replacing data warehouses but this is just another technology hype that is coming across the effective use of data.

Data Lake 40

Data Lake Data Warehouse Hadoop Unstructured Data 40

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. How Walmart is tracking its customers?

Big Data 52

Big Data Data Analysis Hadoop Retail 52

ProjectPro

FEBRUARY 21, 2022

Also, the emp dataset's emp_dept_id has a relation to the dept dataset's dept_id. Also, the emp dataset's emp_dept_id has a relation to the dept dataset's dept_id.

Data Analysis 52

Data Analysis Finance Datasets Big Data 52

The Modern Data Company

FEBRUARY 28, 2023

At the start of the big data era in the early 2010’s, implementing Hadoop was considered a prime resume builder. Allowing Career Goals to Impact Technology Roadmaps One factor that can lead companies astray is the desire of key employees to accrue certain experiences on their resume.

Cloud 98

Cloud Hadoop Technology Coding 98

Knowledge Hut

NOVEMBER 7, 2023

The applications of cloud computing in businesses of all sizes, types, and industries for a wide range of applications, including data backup, email, disaster recovery, virtual desktops big data analytics, software development and testing, and customer-facing web apps.

Cloud Computing 98

Cloud Computing Cloud Amazon Web Services Entertainment 98

ProjectPro

NOVEMBER 18, 2021

The Walmart Labs team heavily invests in building and managing technologies like cloud, data, DevOps, infrastructure, and security. Walmart has been leveraging Big data and advances in data science to build solutions to enhance, optimize and customize the shopping experience and serve their customers in a better way.

Data Science 52

Data Science Project Food Pharmaceutical 52

ProjectPro

AUGUST 31, 2018

For big data, EBS storage is incredibly fast. Big data poses challenges for standard storage, demanding the use of premium storage. For big data, much more advanced cloud infrastructure is required. Although Azure's services are less developed for big data, they are improving.

AWS 45

AWS Cloud Amazon Web Services Cloud Computing 45

Knowledge Hut

OCTOBER 24, 2023

Data visualization is transforming data or information into graphics to make it easier for the human brain to comprehend and get insights. In fact, there are multiple ways of representing data visually, some use classic methods, while others adopt modern technologies. This is truer for large projects dealing with big data.

Project 52

Project BI Datasets Big Data 52

U-Next

AUGUST 3, 2022

Data Scientists are no less than sultans of big data. Their roles and responsibilities include gathering, analysing, and interpreting data. Read on to know more about Data Scientists’ required skills, etc. An Introduction to A Data Scientist’s Roles and Responsibilities. Conclusion.

Retail 52

Retail Data Science Computer Science Entertainment 52

Rockset

JANUARY 19, 2021

Rockset also helps manage your indexes and data shards automatically. Elasticsearch doesn’t have this benefit, as it was created in 2010—during the data center era, before infrastructure was as cloud-focused as it is today. Many of the benefits Rockset offers come from a cloud-native architecture approach.

Management 40

Management Datasets Architecture Cloud Storage 40

ProjectPro

MARCH 31, 2015

” The International Data Corporation (or IDC) expects the overall market for marketing automation to grow from $3.2 billion in 2010 to $4.8 Image Credit: thoughtexecution.com Salesforce acquired Heroku in 2010 to provide its customers with PaaS (Platform as a Service) to provide support for various programming languages.

IT 40

IT Portfolio Cloud Computing Cloud 40

AltexSoft

JULY 27, 2021

line from “Taxi Driver” over and over again but still hate “lame” 2010’s comedies featuring him. Taking into account all the pros and cons, it’s fair to say that content-based filtering models fill the bill when there isn’t enough interaction data. Or you may use a mix of different data repositories depending on the purposes.

Machine Learning 76

Machine Learning Systems Algorithm Deep Learning 76

Netflix Tech

NOVEMBER 26, 2018

Load Balancing the World: A Lesson in Adopting New Technology Joel Kodama , Senior Network SRE Abstract: Classic elastic load balancers have serviced Netflix since 2010, but with our ever-increasing subscriber growth, moving to the next generation of elastic load balancing was the key to continued success. November 29 1:00pm NET324?—?Load

AWS 45

AWS Software Engineer Software Engineering Entertainment 45

ProjectPro

MARCH 29, 2016

In 2010, nobody knew what Hadoop is and today the elephant in the big data room has become the big data darling. Computing research found that the skills gap for Hadoop is one of the biggest in the entire big data spectrum. billion by end of 2017.

Hadoop 40

Hadoop Big Data Portfolio Utilities 40

AltexSoft

SEPTEMBER 21, 2023

In this edition of “The Good and The Bad” series, we’ll dig deep into Elasticsearch — breaking down its functionalities, advantages, and limitations to help you decide if it’s the right tool for your data-driven aspirations. What is Elasticsearch? It is developed in Java and built upon the highly reputable Apache Lucene library.

Engineering 52

Engineering NoSQL Programming Language Java 52

ProjectPro

JANUARY 15, 2021

19) Walmart Dataset This is one of the best beginner-level machine learning datasets as it has the most retail data along with external data in the region of each Walmart store such as Unemployment rate, fuel prices, CPI making it a perfect choice for detailed analysis.

Datasets 40

Datasets Machine Learning Retail Banking 40

Knowledge Hut

DECEMBER 27, 2023

KnowledgeHut Data Visualization with Tableau Training allows you to learn how to create a data visualization using Tableau, open-source software that allows you to visualize and analyze your data. How to Choose the Right Data Visualization Company?

Business Intelligence 52

Business Intelligence Raw Data Consulting Data 52

ProjectPro

MARCH 14, 2014

The next decade of industries will be using Big Data to solve the unsolved data problems in the physical world. Big Data analysis will be about building systems around the data that is generated. Image Credit : hortonworks As per big data industry trends , the hype of Big Data had just begun in 2011.

Hadoop 40

Hadoop Big Data Data Mining Retail 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