Big Data Archives - Page 9 of 11

Apache Flink – New Feather Cap in Big Data Analytics

Hadoop ecosystem has introduced a number of tools for big data analytics that cover up almost all niches of this field. At present, a new generation of big data processing framework is in the picture – Apache Flink. With a lot of innovations under its belt, Apache Flink big data framework is soon going to become the de-facto tool for batch and streaming data processing for big data analytics. Obviously, with Apache Flink, Hadoop is continually evaluating in a new row. Till now, Hadoop developers were under the umbrella of Spark with its impressive features (To know more about Spark, […]

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Big Data Trends in 2018

Big Data / By Aditi Malhotra

Big data is no longer just considered as a big or large set of data. Instead, it is more about business-driven data in the use of analytics capabilities for long-term business value. However, the massive increase in the data volume, varieties, and flow of data for analytics showcases that big data trends in 2018 will change a worth amount. In 2017, we have observed engraved big data analysis trends. Not to mention, almost all business domains have adopted big data for business and market analysis purpose. If we look forward to 2018, big data trends show a roadmap towards convergence

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Data Scientists Tools To Improve Productivity

Big Data / By Aditi Malhotra

The role of a data scientist role is merely limited to data analysis or statistical analysis. You may consider a 360-degree function of a data scientist related to business data, he is going to deal. Hence, he needs to pitch in almost all the areas of business data handling all the functions from sourcing to execution. The inclination is more on the techniques they are using to solve a problem. However, data scientists tools and technologies also play a significant role to get a productive result. Well, with the manifold of data science tools in the market, it is certainly

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Python or R – Which One Should You Learn?

Big Data / By Aditi Malhotra

Python and R are the two widely used data analysis tools for day-to-day activities of a data scientist. However, there is a silent battle when it comes to select the best one among them. ‘Python or R?’ It is indeed a burning topic in the world of data science today as both the languages have their pros and cons. In fact, it is challenging for a newbie as a data scientist to understand Python or R which is better to follow in the long run. For this reason, it is better to go into detail features of both the languages

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Apache Hive – A Faster and Better SQL on Hadoop

Big Data / By Aditi Malhotra

Hadoop is a hot technology that primarily deals with petabytes of data for high-level analysis in enterprise applications. However, enterprises often work in a time-bound situation that requires fast analysis of collected data over a limited period. Hadoop MapReduce is a complicated tool for analysis purpose. Along with it, you need some programming language skills to explore data in MapReduce. Here comes the need for data query language like SQL for data extraction, analysis, and processing. Although tried and tested with big data front end, certainly SQL does not fit well with Hadoop data store. It is a general purpose

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5 Reasons Why Java Developers Should Learn Hadoop

Big Data / By Aditi Malhotra

Technology never stops its progression. Hence, technology professionals, too, should not stop to progress. If you want to grow, you need to continually update yourself to be a step ahead of the growing competition. So, identify the hotspots in your domain, analysis the latest trends to recognise the growing niche in the technology space, and move forward. Gone are the days when development work moved around Java and relational database. Today companies are dealing with Big data. It is truly Big. From gigabytes to petabytes in size and relational databases are very limited to store it. Also, companies are increasingly

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Why Should You Learn Spark to Become a Data Scientist?

Big Data / By Aditi Malhotra

Today’s business speaks in terms of data. The more you analyze the data, the more you get insights of business and market trends. With this in mind, data science has emerged as the most in-demand job in the market. A data scientist typically deals with data, its behavior, and statistics which pass through many stages during a standard enterprise process flow. Not to mention Hadoop or Spark are the key tools that help in all phases of data extraction and processing. However, in our previous blog Why-is-apache-spark-faster, we have discussed how Spark is going to take an edge over Hadoop

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Job Responsibilities of a Hadoop Administrator

Big Data / By Aditi Malhotra

Technology is only one face of the coin when dealing with everyday IT operations. There are other major factors which help to keep things in place. Moreover, they also help to orchestrate the operations of a business. System administration is one of the areas which may impact the performance of a business. The job performance relates to system performance either it can enhance or destroy the performance. In the same way, a Hadoop administrator is the key player in the world of big data. Furthermore, he takes care of entire Hadoop administration jobs. This, in turn, helps to keep data

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The Best Hadoop Certifications in 2019 [Updated]

Big Data / By Aditi Malhotra

With the Big Data adoption, the importance of Hadoop is increasing day by day. In the coming few years, more than 50% of the world’s data will be processed by Hadoop. Hence, the demand for Hadoop talent is rising high. On the other hand, companies are struggling to hire the right talent in the industry. Here right talent signifies the professional with experience in handling data and its proper processing using the Hadoop ecosystem. In this scenario what could be the better answer than a resource with market-recognized Hadoop certification? Enroll Now: Hadoop Basics Online Training Course It is a

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