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  • Caching out of Hadoop: How New York Times Embraces New Technology

    It can be said that an IT organization reflects the business from which it has grown. When it comes to the New York Times, this is definitely true. As a news organization, the company's collective journalistic head is always on the swivel, always racing towards the newest story.

    Source: TheNewStack.
    10965
  • Learn How to Manipulate Big Data With The Data Science Certification Training Bundle

    To actually use any of that information, data scientists have become more and more vital to companies - to analyse and interpret the huge amounts of data and turn it all into something structured and useful.

    Source: ScienceAlert
    9858
  • IBM's Watson Data Platform focuses on AI

    The IBM Watson Data Platform already provides data scientists with the ability to crunch numbers and share large data sets across different public and private clouds. Now the company has its sights set on artificial intelligence (AI), reports Enterprise Cloud News (Banking Technology's sister publication).

    Source: Banking Tech
    14697
  • Ranking Popular Distributed Computing Packages for Data Science

    We examined 140 frameworks and distributed programing packages and came up with a list of top 20 distributed computing packages useful for Data Science, based on a combination of Github, Stack Overflow, and Google results.

    Source: Kdnugget
    17892
  • Become a Big Data and Hadoop expert with this training

    A comprehensive course on Hadoop for just $39.

    Source: HOB
    12153
  • Top Recent Big Data videos on YouTube

    Top viewed videos on Big Data since 2015 include Big Data use cases in psychographics, sports, politics and data monetisation.

    Source: KDnugget
    10794
  • Which Programming Language Do I Master?

    It all started when futuristic technologists started to code 'Assembly'. This allowed them to build programs which they now wanted to run at tremendous speeds.

    Source: HOB
    10668
  • Is it Necessary to Know Big Data Before Data Analytics?

    No,but if you have some knowledge about data mining algorithms. That will be beneficial in learning data analytics. Data Analytics is a field demanding a variety of skills. Having knowledge of Hadoop is one of them.

    Source: HOB
    17256
  • What is Apache Spark and Why it is Popular among Data Scientists?

    Apache Spark is an open-source cluster computing framework for real-time processing. It has a thriving open-source community and is the most active Apache project at the moment. Spark provides an interface for programming entire clusters with implicit data parallelism and fault-tolerance.

    Source: HOB
    15015
  • Why Demand for Hadoop and Big Data Has Increased?

    From a very generic perspective it does not matter how small or big the company is, it depends on the amount of data the type of data and how are they using the data. As per the recent trend, the need to handle with large amount of data is increased. As per the business requirements we are not able to achieve 100% accuracy when we are dealing with normal data conversions.

    Source: HOB
    6099
  • Levels Of Artificial Intelligence: Know In Which Level We Are Now At Present?

    The individual Data Science technologies that comes under Artificial Intelligence are all moving forward on different paths at different speeds, but all of those speeds are fast. So before you change careers or decide that your business needs some of that AI let's fly up and see if we can make out a larger pattern that will help us understand where we are and where we're going.

    Source: HOB
    15411
  • 6 Data Science & ML Books Every Data Scientist Should Keep Nearby

    The best way to stay in touch is to continue brushing up on your knowledge about data science while also maintaining experience. It's the perfect storm or combination of skills to help you succeed in the industry.

    Source: HOB
    46593
  • Is Really Data Scientists Are Looking For Good Opportunities?

    Data Scientists are leaving their jobs, And according to Financial Times it's correct that data scientists usually spend 1-2 hours a week to find good opportunities. We read so many stories about data science being the sexiest job of the 21st century and the attractive sums of money that you can make as a data scientist that it can seem like the absolute dream job.

    Source: HOB
    11223
  • Know Which Tools Help Data Scientists To Improve Their Productivity?

    With the manifold of data science tools in the market, it is certainly a rising challenge for you as a data scientist or a blooming data scientist to sort out the best ones.

    Source: HOB
    18186
  • Business Intelligence Tools Helps To Take Brilliant Business Decisions

    :Business Intelligence is providing the right data at the right time to right people so that they can take the right decisions." The term Business Intelligence (BI) revolves around the technology-driven process for analyzing data and delivering actionable information to take brilliant business decisions. Business intelligence tool encapsulates strategies and technologies used by enterprises for data analysis of business information.

    Source: HOB
    21702
  • How DevOps Play Crucial Role For Data Science?

    DevOps involves infrastructure provisioning, configuration management, continuous integration and deployment, testing and monitoring. DevOps teams have been closely working with the development teams to manage the lifecycle of applications effectively.

    Source: HOB
    23322
  • Know What Would Be The Future Of Data Science?

    If you have doubt in your mind regarding the future of data science then definitely you are concerned the techniques and tools such as Python, Hadoop or SAS will become outdated or going ahead in a data science course will be beneficial for your career in the long-run or not.

    Source: HOB
    6828
  • What Are The Big Misconceptions With Big Data?

    It can't be denied that Big Data is a hot topic in present times. But there are businesses still struggling to shift from concept to execution. The only new thing which allows us to make sense of this information is analytics. The primary goal of analytics is the exploration or application of analytic techniques to large amounts of information in variety of types including unstructured data which comprises of text strings, sound and movie files, documents, images, geo-location data, and documents.

    Source: HOB
    6459
  • Software Engineers Dominate The List Of Most In-Demand Tech Jobs In Silicon Valley

    Software, product, and QA engineers are among the 20 fastest-growing roles in the Bay Area, according to Indeed.

    Source: HOB
    9516
  • Why There Is A Demand For Proficient Data Scientist And How The Data Science Course Looks Like?

    There's clearly a shortage of data scientists to help companies use more of their data, so pursuing a career in the field puts today's students at a distinct advantage when it comes to staying away from the unemployment lines after graduation. Data science is fast becoming one of today's most in-demand careers, and in fact, the prescient Harvard Business Review declared data science as the sexiest career of the 21st century six years ago.

    Source: HOB
    31446
  • Hadoop as a Service Market Emerging Trends and New Technologies Research 2013 to 2023

    Global Hadoop as a Service sales and market share comparison and analysis with an overview of current market status, competition, recent developments, future forecast and major manufacturerā??s analysis

    Source: RNR
    4761
  • Data Science Is Easy To Learn, Is It So?

    Data Science is easy to learn or not? Can Anyone Be A Data Scientist? No, data science is not easy. It's just unshaped and not professionalized. By this I mean there are no standard sets of tools, no educational curricular, no certifying bodies, nor any specific career paths that lead to becoming a data scientist; yet all the essential bits are there and they're not easy to acquire, assemble or apply well. Yes, one can learn R and Hadoop and claim to be a data scientist, but that's far from the truth.

    Source: HOB
    12771
  • The Efficacy Of Data Recovery Services Is Refining With Big Data

    The global huge data market is growing at an unexampled pace. One study from Wikibon showed that the market is growing at a rate of 10.48% a year. Because the price of the large data market continues to grow, structure dependence on that can solidify further. This solely becomes a controversy once data servers become inaccessible or data is accidentally or deliberately destroyed. Enter the data recovery industry.

    Source: HOB
    6624
  • Access knowledge for free: EBooks on Hadoop, deep Learning and DataViz

    Some Ebooks which will give enhance your knowledge for free in deep learning, Hadoop and DataViz. Here you have some links to get these free EBooks.

    Source: HOB
    21072
  • Hadoop: The Savior For Large Data Analytics

    The large heap of data generated every day is giving rise to the massive information and correct analysis of this data is obtaining the need for each organization. Hadoop is a savior for large Data Analytics and assists the organizations to manage the data effectively.

    Source: HOB
    21528
  • Data Engineer A Perfect Combination Of Data Analyst And Data Scientist

    Data engineer may be a comparatively new position that is a hybrid of types between a data analyst and a data scientist. Whereas information scientists are reception making and standardization refined machine learning models and alternative kinds of analysis, data engineers shine at manipulating huge amounts of data and guaranteeing the complete huge data code stack will scale to support large workloads.

    Source: HOB
    23631
  • Apply Here: 5 Technical Positions Open At Infosys

    Nowadays, technologies are changing our lives so everyone wants to start their career in a technical field, the following are the five technical open positions and roles with Infosys Pvt. Ltd you can apply for the same.

    Source: HOB
    7023
  • Cloud Engineers Are In Demand And What Programming Language They Should Learn?

    Cloud engineers professionals responsible for assessing a business's infrastructure and migrating different functions to a cloud-based system are in high demand, as more companies move critical business processes and applications to public, private, and hybrid cloud infrastructures.

    Source: HOB
    107721
  • Top 10 Data Science Skills To Land Your Highest Paying Dream Job In 2019

    In a 2017 business research article IBM predicted that the need for Data Scientists will increase by 28% by 2020, with nearly 3 million job openings for Data Science professionals.

    Source: HOB
    109821
  • Career In Data Analytics Is Rewarding, So Get Start With It As Earliest

    A career in data analytics is not only concerned with learning Python or Hadoop, but it also takes into consideration various skills

    Source: HOB
    20028
  • Why Data Science And Data Analytics Are The Major Need For All The Industries?

    Data science has revolutionized the technological world. We all are aware of the term data science that there is definitely something in data science that sets it apart and make being a data scientist one of the best jobs of the twenty-first century.

    Source: HOB
    14559
  • Go With Big Data Courses In The Data Driven World

    We are living in an economy which is completely data-driven. Big data courses play a vital role in your career as they can allow you to be a much more effective contributor to the company's bottom line.

    Source: HOB
    10941
  • Data Scientist The Best Profession In the 21st Century As Declared by Reputed Organisations

    One of the fastest growing careers among them is Data Science, which has become extremely popular among youth because of its exciting nature of work and new newness. Professionals who do this job are known as Data Scientists.

    Source: HOB
    12987
  • Learn The Basics Of Data Science

    Know the basics of data science to build your career and have influenced learning capabilities.

    Source: HOB
    7314
  • Around 70% Job Opening in Analytics And Data Science: Here Are The Top Recruiters

    More than 97,000 analytics & data science positions remain vacant in India due to the shortage of talent. Here's how to be relevant in the job market.

    Source: HOB
    9606
  • Beginner's Guide to understand Hadoop and Spark in Data Science

    Hadoop and Spark both are used by businesses today to process big data.

    Source: HOB
    18270
  • My simple ways to pace career in Data Science

    The role of a Data Scientist depends most on the organization he is working on.

    Source: HOB
    7218
  • In Data Science High Salary And Job Prospects Are Major Big Draws

    There is a tremendous amount of data which is generated by every business on a daily basis. The rise of the internet and the introduction of social media platforms have led to an additional spike in the amount of data generated.

    Source: HOB
    15588
  • Know The Misunderstanding Of Big Data!

    It can't be denied that Big Data is a hot topic in present times. But there are businesses still struggling to shift from concept to execution.

    Source: HOB
    8652
  • Dive Into the World of Deep Learning with These Most Trusted Books

    This article will take you to the best books that you can find of Deep Learning.

    Source: HOB
    7431
  • Job Comparison of Data Engineer and Statistician

    In many of the cases, aspirants do not know about the responsibilities each position carries. I have discussed two such roles here, Statisticians and Data Engineer which are confused a lot by the aspirants.

    Source: HOB
    19572
  • Do we know which COURSE is right for Cloud Computing? Check here!

    These courses are designed to prepare you to be more successful in businesses strategic planning in the upcoming big data era.

    Source: HOB
    6909
  • Are you a Good Data Scientist? Check What differs a Good Data Scientist from a Bad one

    Sometimes its good to analyze oneself. Sometimes its good to know the reality that whether you are a good fit for your job or not. Make sure your communication is all not holding you back from being a Good Data Scientist.

    Source: HOB
    5901
  • Beginners must follow these steps to start a career in Data Science

    Starting a career in Data Science can be intimidating but with the right decisions and right choices, a beginner can start a career in Data Science and soar to greater heights in the career.

    Source: HOB
    12033
  • The 7 Habits of Successful Data Scientists

    A Data Scientist is always a person with a win win approach.If he is not having a win win approach than he is not a Data Scientist. The article presents the 7 habits that every successful Data Scientist carries.

    Source: HOB
    45492
  • Game of Thrones is brought into play through Machine learning. See. How?

    This is a new example of style transfer where ML identifies the essential characteristics of a genre in order to create its own examples, such as we've seen before with art and even with cooking.

    Source: HOB
    6291
  • Recommended: Best Online courses to learn Apache Hadoop

    Processing a large number of big datasets is a challenge faced by companies until the advent of Apache Hadoop and Spark. Hadoop and Spark provide businesses with that data processing speed that businesses have always dreamt of with their data.

    Source: HOB
    7665
  • Facing Rejection in Data Science Interviews? Follow these Guided steps to crack one.

    Diversion is the easiest option you could do after your first or many rejections in Data Science interviews but standing positively all over again and trying to crack the next interview in the next chance is the best thing you can ever do.

    Source: HOB
    7983
  • Top 5 Technical skills Every Data Scientist Should Master in 2019

    With regard to a Data Scientist apart from the soft skills and the business acumen technical skills also becomes a very important part.

    Source: HOB
    7407
  • Excel these 5 Skills Today to Become a Big Data Analyst

    A Big Data Analyst is the person in the organization who collects data from various resources, clean it for further processing, converts it into another format which is easy to analyze (also called Data Munging) and finally analyze it for finding hidden patterns and useful information from it (also called insights).

    Source: HOB
    12705
  • How can you easily identify the Big Data tactics through some useful Resources?

    Technologies such as Hadoop, MapReduce, Apache Spark have brought a revolution in the ways of analyzing big data. This is probably the best time to make your career in Big Data. I believe, nothing beat books when it comes to learning a concept to its core.

    Source: HOB
    5844
  • Learn Hadoop, Spark and find out which is Best through these videos

    The rise of Big Data has raised the necessity of the organizations to adopt technologies which are good at processing big Data at higher execution speed. Hadoop and Spark are the big contenders in that.

    Source: HOB
    6465
  • See some Best-Known Big Data tools, their Advantages and Disadvantages to Analyze your Data

    So here are some Big Data Analytics tools which we will explore in detail in this article.

    Source: HOB
    32856
  • Tutorial and A Course which will help you to clarify the existence of Hadoop for Big Data problem

    If you want to know that what is Big data, what is Hadoop and how people came to know about Hadoop, this Hadoop tutorial will teach you the exact meaning of it.

    Source: HOB
    7611
  • Crack Interviews: Top Frequently Asked Questions on Big Data and Hadoop

    As companies need to deal with the Big Data every day, recruiters look for the skill of handling this Big Data in the potential candidates and questions on Big Data and Hadoop are the most frequent one asked by recruiters in the interviews.

    Source: HOB
    10494
  • Know Why Predictive Analytics is the need for Businesses today with some top Predictive Analytics Tools

    To make any business successful and work for a longer time, a Proactive and forward-looking approach is needed and this is the only approach by which businesses plan strategies for the future. Using Predictive Analytics businesses make use of their past and present data to predict future certainties.

    Source: HOB
    5454
  • Get the most meaningful insights out of your data with these tips.

    It doesn't matter how much data businesses collect, unless they are unable to find actionable insights out of it, all data collected is useless.

    Source: HOB
    7458
  • Analysts Must Approach these Books to Handle the Big Data in Businesses

    Handling Big Data is the major priority of businesses today. In this article, we will go through 5 such amazing books to handle big data.

    Source: HOB
    6861
  • Hadoop is trending with a huge demand due to a few major reasons

    Big Data demands a cost-effective, innovative solution to store and analyze it. Hadoop is the answer to all Big Data requirements. So, let's explore why Hadoop is so important.

    Source: HOB
    7533
  • Top Tools of Machine Learning and Artificial Intelligence which should be noticed by every Developer

    Today, it's radically changing the way we think about technology. From fraud detection to virtual assistants like Siri, AI and machine learning (ML) is going through a period of significant acceleration.

    Source: HOB
    6111
  • Here are 3 famous Youtube videos covering the in-depth Analysis of Hadoop

    Some famous youtube videos which will take you deep into the learning of Hadoop.

    Source: HOB
    5424
  • Keep in Mind some points before Learning Machine Learning

    Not sure which course you are referring to in particular. The general basics required for machine learning are here.

    Source: HOB
    6357
  • What is the role of a data scientist in perspective of Artificial Intelligence and machine learning work?

    A data scientist is integral to an AI or ML process, in the sense that all of these projects are depending on big data or complex inputs. The data scientist is the essential careerist who knows how to work with data to produce results.

    Source: HOB
    9579
  • Some Data Visualization tools will be more seen in the year 2019

    Data visualization is one of the most critical skills for any analyst and really most business people to know.

    Source: HOB
    6777
  • Data Processing Engine: Apache Spark. Explained in Detail

    Apache Spark is the latest data processing framework from open source. It is a large-scale data processing engine that will most likely replace Hadoop's MapReduce.

    Source: HOB
    11337
  • Data Scientist should turn on their mind towards some famous Books of Data Science

    Here are some books which will help you to boost your knowledge of data science and some of its fundamental tools.

    Source: HOB
    6111
  • Learning the Top Artificial Intelligence Frameworks

    In this article, you will get to know some of the best frameworks to get you started with AI development.

    Source: HOB
    6894
  • Best Tools to develop Machine Learning Projects

    Best machine learning software without having software, the computer is an empty box as it is unable to perform its given task. Just like that also a human is helpless to develop a system. However, to develop a machine learning project there is several software or tools are available.

    Source: HOB
    11034
  • How Hadoop Tools improvises Big Data?

    Big Data tools and techniques help the companies to illustrate the huge amount of data quicker; which helps to raise production efficiency and improves new dataâ??driven products and services.

    Source: HOB
    6864
  • Top benefits of Hadoop Training

    This training and certification for professionals have opened up a world of opportunities as it will enable professionals to help in proper structuring and management of enterprise data.

    Source: HOB
    5151
  • Basics of Deep Learning with open source Apache Tools

    This video will give you multiple examples of Apache Hadoop, Apache Hive, Apache MXNet, Apache OpenNLP, Apache NiFi and Apache Spark for deep learning applications.

    Source: HOB
    6234
  • Some Famous Deep Learning Frameworks

    Fortunately, some brilliant minds have created and generously open-sourced several deep learning frameworks that can be easily integrated by people with little to no knowledge of machine learning technology.

    Source: HOB
    5481
  • Free Tutorial with Big Data and Hadoop Course

    Big Data and Hadoop training course are designed to provide knowledge and skills to become a successful Hadoop Developer. In-depth knowledge of concepts such as Hadoop Distributed File System, Setting up the Hadoop Cluster, Map-Reduce, PIG, HIVE, HBase, Zookeeper, SQOOP, etc. will be covered in the course.

    Source: HOB
    3921
  • Free Tutorial with Big Data and Hadoop Course

    Big Data and Hadoop training course are designed to provide knowledge and skills to become a successful Hadoop Developer. In-depth knowledge of concepts such as Hadoop Distributed File System, Setting up the Hadoop Cluster, Map-Reduce, PIG, HIVE, HBase, Zookeeper, SQOOP, etc. will be covered in the course.

    Source: HOB
    10449
  • Big Data Courses with Its famous Frameworks: Apache, Hadoop, etc

    Interested in increasing your knowledge of the Big Data landscape? This course is for those new to data science and interested in understanding why the Big Data Era has come to be.

    Source: HOB
    6477
  • Master learning in some of the free online courses of Business Intelligence

    Take free online business intelligence courses to build your skills and advance your career. Learn business intelligence and other in-demand subjects with courses from top universities and institutions around the world.

    Source: HOB
    5778
  • Famous Course : The Ultimate Hands-On Hadoop-Tame your Big Data!

    The world of Hadoop and Big Data can be intimidating - hundreds of different technologies with cryptic names form the Hadoop ecosystem.

    Source: HOB
    5469
  • Is Data Science a job paying you with the Highest Salary in 2019-2020?

    Jobs requiring machine learning skills are paying an average of $114,000. Advertised data scientist jobs pay an average of $105,000 and advertised data engineering jobs pay an average of $117,000.

    Source: HOB
    5415
  • Some major reasons for the rise of Big Data Ecosystem

    There are many factors that contributed to the emergence of today's big data ecosystem, but there's a general consensus that big data came about because of a range of hardware and software designs that simply allowed big data to existing.

    Source: HOB
    5145
  • Top Big Data Certifications for Professionals in 2019

    Drive better business decisions with an overview of how big data is organized, analyzed, and interpreted. Apply your insights to real-world problems and questions.

    Source: HOB
    7041
  • Get certified in Big Data with some Online Courses

    Learn how big data is driving organizational change and essential analytical tools and techniques, including data mining and PageRank algorithms.

    Source: HOB
    4395
  • Why Big Data is important for every business?

    Big Data operates irrespective of any field or size of the business, as management and collection are done in every field; thus, making it more accessible.

    Source: HOB
    4473
  • The way to go-Data Analysis

    Data Analysis helps the organizations gain insight into how much progression or regression their performance is exhibiting.

    Source: HOB
    4485
  • Hadoop as the best technology for Data handling

    Big Data Hadoop is one of the most progressing technological fields in the present day. Just like the changes in the trends of the world, many changes have also been made in the different fields of technologies.

    Source: HOB
    5163
  • A key to your brighter future: Data Science

    Data is a word that is pretty known to us. If we put it into correct words, it is a collection of information that can be translated into a form that can be processed by computers.

    Source: HOB
    4164
  • Common Myths and Misconceptions Associated With Big Data

    It can't be denied that Big Data is a hot topic in present times. But there are businesses still struggling to shift from concept to execution.

    Source: HOB
    4992
  • Get to know some Big Data tools and Technologies

    Edureka's Big Data Hadoop Training Course is curated by Hadoop industry experts, and it covers in-depth knowledge of Big Data and Hadoop Ecosystem tools.

    Source: HOB
    5613
  • Data Analytics cannot be ignored now

    Data Analytics refers to the process of collecting, organizing, interpreting and extracting useful insights from the raw facts and figures in the huge amounts of data generated by a business on a daily basis.

    Source: HOB
    5187
  • Business Analytics Training: The Best Career to GO for

    Data analytics is no longer an unknown term. Data analytics is simply collecting, organizing, analyzing and gaining useful insights from raw data.

    Source: HOB
    4980
  • How can you easily boost your career with Big Data Courses?

    Big data courses play a vital role in your career as they can allow you to be a much more effective contributor to the company's bottom line.

    Source: HOB
    4290
  • Is learning Data Science Courses necessary?

    Data science is the application of algorithms, machine learning and various such methods and options for bringing out patterns by going through a lot of data.

    Source: HOB
    4989
  • Go Big with these Big Data Courses

    Learn how big data is driving organizational change and essential analytical tools and techniques, including data mining and PageRank algorithms.

    Source: HOB
    4881
  • Can you reach heights in the future through data science?

    Data Science refers to studying hidden insights behind the data and manipulating them in order to find logical solutions to problems in business and industrial contexts.

    Source: HOB
    3864
  • Get to know more about Hadoop Big Data Infrastructures

    Big Data Infrastructure Management in Cloud Data Centers has been one of the fruitful solutions suggested for countering rising infrastructural costs.

    Source: HOB
    8139
  • Increase your knowledge in Big Data with these Courses

    Once you've identified a big data issue to analyze, how do you collect, store and organize your data using Big Data solutions?

    Source: HOB
    4284
  • The Importance of Big Data and How New Microsoft Products Address the Problem

    Working with the big data generated by the behavior of these consumers in the online environment is a great challenge that large companies such as Microsoft intend to tackle in order to provide their clients with better software products.

    Source: HOB
    4116
  • Large-Scale Data Processing Frameworks - What Is Apache Spark?

    Apache Spark is the latest data processing framework from open source. It is a large-scale data processing engine that will most likely replace Hadoop's MapReduce.

    Source: HOB
    4872
  • A future career in Data Science will be more promising. How?

    Everybody has different opinions regarding big data. Some say it is just a phase that the tech world is going through and some say it is here for the long term.

    Source: HOB
    3336
  • Data Science-A Revolution

    The reason why Data Science is being successful in their quest is that we are interacting more and more with the internet.

    Source: HOB
    3873
  • Deeply learn from these Deep Learning Books

    Although interest in machine learning has reached a high point, lofty expectations often scuttle projects before they get very far.

    Source: HOB
    4428
  • Do we have any benefit through Data Science Training?

    Today's business marketplace is driven by tons of data. In fact, data is an important aspect of all industries as date offers plenty of useful information that helps businesses make important decisions.

    Source: HOB
    3846
  • Become a leader- Data science

    Organizations like Glassdoor and Harvard University have already declared Data Science as the best job of the 21st century, and since most of the data remain perpetual and ever-increasing, the scope is only going to rise.

    Source: HOB
    9438
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