Big Data Archives - Page 8 of 11

Importance of Apache Spark in Big Data Industry

Hadoop has already proved its huge potential in the Big data industry by providing better insights on data to make the business grow. With its unbeatable Big data processing capability using batch processing it has redefined Big data domain. Since Apache Spark stepped into Big data industry, it has met the enterprises’ expectations in a better way regarding data processing, querying, and generating analytics reports in a faster way. Here’s why Apache Spark Faster. Apache Spark is widely considered as the future of Big Data Platform. In this blog, we will discuss the various aspects of why Apache Spark is gaining more importance […]

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How Does Cloudera Take Hadoop to The Next Level?

Big Data / By Aditi Malhotra

Hadoop is the world’s first unified open source platform for big data and Cloudera is today an enterprise analytic big data management platform powered by Apache Hadoop™. Indeed Cloudera and Hadoop complement each other. Cloudera and Hadoop together offer enterprises one single place for data management and data analysis. You can evaluate the data and invest based on it. Cloudera offers enterprises a complete data platform (CDH) along with open source Hadoop ecosystem. For this reason, today Cloudera is the World’s most trusted and used enterprise Hadoop data hub. From enterprise application to education Cloudera takes Hadoop to the next

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Best Books for Hortonworks Certification

Big Data / By Aditi Malhotra

Big Data is a newly emerging technology in the IT world. Engineers and IT administrators are looking for Job opportunities in Big Data field. With more and more companies investing in Big Data, there is a huge demand for a workforce in this field. Not only the demand but this field provides hefty packages for the professionals. Earning a certification always help in bagging a job in this field. Big Data and Hadoop professionals with certifications such as Hadoop certification and Spark certification have the edge over other candidates while appearing in the interview. Hortonworks University has a range of

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How to Prepare for Cloudera Administrator Exam?

Big Data / By Aditi Malhotra

The era of Big Data is here officially. The knowledge of big data and Hadoop is in huge demand in the industry. This includes the demand for Data scientists, Data analysts, and Data Administrators. There is a need to learn and develop specialized skills regarding the functioning of the whole Hadoop system and applications. Once you carry skills, you need to present your skills on your resume with valid proof. Here comes the need for the Cloudera certification. Recommended Reading: Is CCA Administrator Certification worth investment? Cloudera is a leader in the big data market, both in technology and innovation. It

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Is CCA Administrator Certification worth investment?

Big Data / By Aditi Malhotra

Advancement of data sciences has shifted the focus of technology geeks from search engines to Data. It includes analysis and use of huge amounts of data collected by different online platforms. This has given way to the technology of the day – Big Data. Big Data is the most demanded skill today, and the employers pick people with the certified knowledge of Hadoop. Furthermore, the companies are investing a lot in training the existing employees on the Big Data technologies. Not to mention, a Hadoop certification can provide an edge to your resume. It shows the strong skills for working

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Comparing SQL Databases and Hadoop

Big Data / By Aditi Malhotra

RDBMS is in the data processing dictionary for a long time and is the basis of SQL. RDBMS is a strong database that maintains bulk data and manipulated it efficiently using SQL. SQL stands for Structured Query Language, it is a standard language to manipulate, retrieve and store a significant amount of data in a database. However, with the increase of storage capacities and customer-generated data processing this information within a timeline becomes a question. Hadoop as one of the top Big data tools takes the edge over SQL in the above context. This java based open source framework is

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Best of 2020: A Complete List of Big Data Blogs [Updated]

Big Data / By Aditi Malhotra

Big data market is changing every year with new trends, innovation and, new approaches. However, Gartner market analysis indicates a slow sign of contraction along with the continuous rise. Are you aware of this fact? Well, like a Hadoop professional knowing Hadoop and other Big data technologies do not make the story end. Following trending Big data blog is another crucial part if you want to progress in the technology landscape. Also Read: Top 10 Open Source Big Data Tools in 2020 List of Big Data Blog Site with Categorizations However, there is an extensive list of Big data blog in

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Hadoop Terminologies: 20 Most Important Hadoop Terms

Big Data / By Aditi Malhotra

Data science, big data, Hadoop, etc. are no more buzz words these days. With the increase in the amount of data generated, the need to process and analyze that Big data keeps rising. Hadoop has been used extensively to process this Big data everywhere, and in a single sentence, it has become the heart of Big data technology. Over the time it has been integrated with many other technologies. Hence, Hadoop terminologies are the broad spectrum of its ecosystem and associated tools which are expanding every day. Not to mention, there is an increasing demand for Hadoop professionals everywhere. So,

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Apache Pig Progression with Hadoop’s Changing Versions

Big Data / By Aditi Malhotra

Hadoop has scaled up in many ways to open up wings of all levels of technical people. Of course, Java programmers have the edge over others when it comes to Hadoop development. However, if you are new or unknown to high-level languages like Java or Jython, no worries! Apache Pig is there to do all kinds of data manipulations whether structured or unstructured data. Certainly, it makes “Pig Hadoop” the interrelated terms in the Hadoop family. The purpose of Apache Pig is to create the MapReduce jobs on large data-sets instead of executing them by writing complex Java codes. However,

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Global Hadoop Market is Expected to Reach $84.6 Billion by 2021

Big Data / By Aditi Malhotra

In the present time, Big Data is everywhere and there is need to store whatever is being generated, for the fear of losing some useful information. Businesses are looking for efficient and prominent ways to extract information from the voluminous amount of data available to them. With the amount of data businesses produce, they need right examine and analysis of that raw data so that they can gain the proper insights to improve their business. Hadoop has already taken the big data storm and this is responsible to increase the demand for Big Data Hadoop skills with a rapid growth

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