{"id":16177,"date":"2018-06-12T04:04:14","date_gmt":"2018-06-12T04:04:14","guid":{"rendered":"https:\/\/data-flair.training\/blogs\/?p=16177"},"modified":"2018-06-12T04:04:14","modified_gmt":"2018-06-12T04:04:14","slug":"hbase-tutorial","status":"publish","type":"post","link":"https:\/\/data-flair.training\/blogs\/hbase-tutorial\/","title":{"rendered":"HBase Tutorial For Beginners | Learn Apache HBase in 12 min"},"content":{"rendered":"<p><span style=\"font-weight: 400\">Let&#8217;s explore the new trending technology i.e.<strong> Apache HBase<\/strong>.\u00a0<\/span><span style=\"font-weight: 400\">T<\/span><span style=\"font-weight: 400\">oday, in this Apache HBase tutorial, we will see HBase introduction and find out why HBase is popular. Moreover, we will see HBase history and why we should learn HBase Programming.\u00a0<\/span><\/p>\n<p><span style=\"font-weight: 400\">HBase is part of the Hadoop ecosystem which offers random real-time read\/write access to data in the Hadoop File System.\u00a0<\/span><\/p>\n<p><span style=\"font-weight: 400\">Also, this HBase tutorial teaches us\u00a0how to use HBase. Along with this, we will discuss HBase features &amp; architecture of HBase. At last, we will learn comparisons in HBase technology. So, in this HBase tutorial, we will learn the whole concept of Apache HBase.\u00a0<\/span><\/p>\n<p>So, let&#8217; s start\u00a0 Apache HBase tutorial.<\/p>\n<h2><span style=\"font-weight: 400\">What is Apache HBase?<\/span><\/h2>\n<p>HBase is a Hadoop project which is Open Source, distributed <strong>Hadoop<\/strong>\u00a0database which has its genesis in the Google\u2019sBigtable.<\/p>\n<ul>\n<li>Its programming language is <strong>Java<\/strong>.<\/li>\n<li>Now, it is an integral part of the Apache Software Foundation and the <strong>Hadoop ecosystem<\/strong>.<\/li>\n<li>Also, it is a high availability database which exclusively runs on top of the<strong> HDFS<\/strong>.<\/li>\n<li><span style=\"font-weight: 400\">It is a column-oriented database built on top of HDFS.<\/span><\/li>\n<\/ul>\n<div id=\"attachment_16181\" style=\"width: 814px\" class=\"wp-caption aligncenter\"><a href=\"https:\/\/data-flair.training\/blogs\/wp-content\/uploads\/sites\/2\/2018\/05\/Apache-HBase-1.png\"><img loading=\"lazy\" decoding=\"async\" aria-describedby=\"caption-attachment-16181\" class=\"wp-image-16181 size-full\" src=\"https:\/\/data-flair.training\/blogs\/wp-content\/uploads\/sites\/2\/2018\/05\/Apache-HBase-1.png\" alt=\"Apache HBase\" width=\"804\" height=\"439\" srcset=\"https:\/\/data-flair.training\/blogs\/wp-content\/uploads\/sites\/2\/2018\/05\/Apache-HBase-1.png 804w, https:\/\/data-flair.training\/blogs\/wp-content\/uploads\/sites\/2\/2018\/05\/Apache-HBase-1-150x82.png 150w, https:\/\/data-flair.training\/blogs\/wp-content\/uploads\/sites\/2\/2018\/05\/Apache-HBase-1-300x164.png 300w, https:\/\/data-flair.training\/blogs\/wp-content\/uploads\/sites\/2\/2018\/05\/Apache-HBase-1-768x419.png 768w\" sizes=\"auto, (max-width: 804px) 100vw, 804px\" \/><\/a><p id=\"caption-attachment-16181\" class=\"wp-caption-text\">HBase Tutorial &#8211; What is HBase<\/p><\/div>\n<p><span style=\"font-weight: 400\">Moreover, HBase is an extremely fault-tolerant way as well as good for storing sparse data. On defining Sparse data, it is something like looking for a piece of a specific paper in a huge pile of documents.\u00a0\u00a0<\/span><\/p>\n<h2><span style=\"font-weight: 400\">HBase Tutorial &#8211; History<\/span><\/h2>\n<ul>\n<li><span style=\"font-weight: 400\">Initially, in Nov 2006, Google released the paper on BigTable. <\/span><\/li>\n<li><span style=\"font-weight: 400\">The first HBase prototype was created as a Hadoop contribution in the year Feb 2007. <\/span><\/li>\n<li><span style=\"font-weight: 400\">The first usable HBase was released in the same year Oct 2007 along with Hadoop 0.15.0.<\/span><\/li>\n<li><span style=\"font-weight: 400\">HBase became the subproject of Hadoop, in Jan 2008. <\/span><\/li>\n<li><span style=\"font-weight: 400\">In the year 2010, May HBase became Apache top-level project.<\/span><\/li>\n<\/ul>\n<h2><span style=\"font-weight: 400\">Why Apache HBase?<\/span><\/h2>\n<p><span style=\"font-weight: 400\">HBase features like working with sparse data\u00a0in an extremely fault-tolerant and resilient way and the way it can work on multiple types of data also making it useful for varied business scenarios.<\/span><\/p>\n<h4><span style=\"font-weight: 400\">i. Prerequisites\u00a0<\/span><\/h4>\n<ul>\n<li style=\"font-weight: 400\"><span style=\"font-weight: 400\">Hadoop&#8217;s architecture and APIs<\/span><\/li>\n<li style=\"font-weight: 400\"><span style=\"font-weight: 400\">Know to write basic applications using\u00a0<strong>Java<\/strong><\/span><\/li>\n<li style=\"font-weight: 400\"><span style=\"font-weight: 400\">Working knowledge of any database.<\/span><\/li>\n<\/ul>\n<h4><span style=\"font-weight: 400\">ii. Right Audience<\/span><\/h4>\n<ul>\n<li style=\"font-weight: 400\"><span style=\"font-weight: 400\">Those who are Software developers and Mainframe professionals.<\/span><\/li>\n<li style=\"font-weight: 400\"><span style=\"font-weight: 400\">Moreover, Project managers, <strong>Big Data<\/strong> analysts as well as Testing professionals.<\/span><\/li>\n<li style=\"font-weight: 400\"><span style=\"font-weight: 400\">Also, Java Developers and Data Management Professional.<\/span><\/li>\n<\/ul>\n<h2><span style=\"font-weight: 400\">Why should you use HBase Technology?<\/span><\/h2>\n<p><span style=\"font-weight: 400\">Along with HDFS and MapReduce, HBase is one of the core components of the Hadoop ecosystem. Here are some salient features of HBase which make it significant to use:<\/span><\/p>\n<ul>\n<li style=\"font-weight: 400\"><span style=\"font-weight: 400\">Apache HBase has a completely distributed architecture.<\/span><\/li>\n<li style=\"font-weight: 400\"><span style=\"font-weight: 400\">It can easily work on extremely large scale data.<\/span><\/li>\n<li style=\"font-weight: 400\"><span style=\"font-weight: 400\">HBase offers high security and easy management which results in unprecedented high write throughput.<\/span><\/li>\n<li style=\"font-weight: 400\"><span style=\"font-weight: 400\">For both structured and semi-structured data types we can use it.<\/span><\/li>\n<li style=\"font-weight: 400\"><span style=\"font-weight: 400\">Moreover, the<strong> MapReduce <\/strong>jobs can be backed with HBase Tables.<\/span><\/li>\n<\/ul>\n<h2><span style=\"font-weight: 400\">Apache HBase <\/span><span style=\"font-weight: 400\">Architecture<\/span><\/h2>\n<p><strong>HBase Architecture<\/strong> is basically a column-oriented key-value data store and also it is the natural fit for deploying as a top layer on HDFS\u00a0because it works extremely fine with the kind of data that Hadoop process.<br \/>\nMoreover, when it comes to both read and write operations it is extremely fast and even it does not lose this extremely important quality with humongous datasets.<br \/>\nThere are 3 major components of HBase Architecture:<\/p>\n<ul>\n<li><strong>Zookeeper<\/strong><\/li>\n<li>HMaster server<\/li>\n<li>Region servers<\/li>\n<\/ul>\n<div id=\"attachment_16224\" style=\"width: 1210px\" class=\"wp-caption aligncenter\"><a href=\"https:\/\/data-flair.training\/blogs\/wp-content\/uploads\/sites\/2\/2018\/05\/HBase-Architecture.png\"><img loading=\"lazy\" decoding=\"async\" aria-describedby=\"caption-attachment-16224\" class=\"wp-image-16224 size-full\" src=\"https:\/\/data-flair.training\/blogs\/wp-content\/uploads\/sites\/2\/2018\/05\/HBase-Architecture.png\" alt=\"Apache HBase\" width=\"1200\" height=\"628\" srcset=\"https:\/\/data-flair.training\/blogs\/wp-content\/uploads\/sites\/2\/2018\/05\/HBase-Architecture.png 1200w, https:\/\/data-flair.training\/blogs\/wp-content\/uploads\/sites\/2\/2018\/05\/HBase-Architecture-150x79.png 150w, https:\/\/data-flair.training\/blogs\/wp-content\/uploads\/sites\/2\/2018\/05\/HBase-Architecture-300x157.png 300w, https:\/\/data-flair.training\/blogs\/wp-content\/uploads\/sites\/2\/2018\/05\/HBase-Architecture-768x402.png 768w, https:\/\/data-flair.training\/blogs\/wp-content\/uploads\/sites\/2\/2018\/05\/HBase-Architecture-1024x536.png 1024w\" sizes=\"auto, (max-width: 1200px) 100vw, 1200px\" \/><\/a><p id=\"caption-attachment-16224\" class=\"wp-caption-text\">HBase tutorial &#8211; The architecture of Apache HBase<\/p><\/div>\n<h2><span style=\"font-weight: 400\">HBase Tutorial &#8211; Storage Mechanism<\/span><\/h2>\n<p><span style=\"font-weight: 400\">Basically, HBase is a column-oriented database. Moreover, the tables in it are sorted by row. Here, the table schema defines only column families, which are the key-value pairs. However, it is possible that a table has multiple column families and here each column family can have any number of columns. <\/span><\/p>\n<p><span style=\"font-weight: 400\">Moreover, here on the disk, subsequent column values are stored contiguously. And, also each cell value of the table has a timestamp here.<\/span><\/p>\n<p><span style=\"font-weight: 400\">In an HBase:<\/span><\/p>\n<ul>\n<li style=\"font-weight: 400\"><span style=\"font-weight: 400\">The table refers to the collection of rows.<\/span><\/li>\n<li style=\"font-weight: 400\"><span style=\"font-weight: 400\">Row refers to the collection of column families.<\/span><\/li>\n<li style=\"font-weight: 400\"><span style=\"font-weight: 400\">Column family refers to the collection of columns.<\/span><\/li>\n<li style=\"font-weight: 400\"><span style=\"font-weight: 400\">The column refers to the collection of key-value pairs.<\/span><\/li>\n<\/ul>\n<p><span style=\"font-weight: 400\">Databases in HBase which store data tables as sections of columns of data, instead of rows of data are Column-oriented Databases. In simple words, they will have column families.<\/span><\/p>\n<ul>\n<li style=\"font-weight: 400\"><strong>Column-Oriented vs Row Oriented<\/strong><\/li>\n<\/ul>\n<p><strong>a. Suitable for<\/strong><\/p>\n<ul>\n<li style=\"font-weight: 400\"><span style=\"font-weight: 400\">Row Oriented<\/span><\/li>\n<\/ul>\n<p><span style=\"font-weight: 400\">Especially for Online Transaction Process (OLTP).<\/span><\/p>\n<ul>\n<li style=\"font-weight: 400\"><span style=\"font-weight: 400\">Column-Oriented<\/span><\/li>\n<\/ul>\n<p><span style=\"font-weight: 400\">Whereas it is the right choice for Online Analytical Processing (OLAP).<\/span><\/p>\n<p><strong>b. Designed for<\/strong><\/p>\n<ul>\n<li style=\"font-weight: 400\"><span style=\"font-weight: 400\">Row Oriented<\/span><\/li>\n<\/ul>\n<p><span style=\"font-weight: 400\">It is designed for the small number of rows and columns.<\/span><\/p>\n<ul>\n<li style=\"font-weight: 400\"><span style=\"font-weight: 400\">Column-Oriented<\/span><\/li>\n<\/ul>\n<p><span style=\"font-weight: 400\">Whereas it is designed for huge tables.<\/span><\/p>\n<h2><span style=\"font-weight: 400\">HBase Features<\/span><\/h2>\n<p><span style=\"font-weight: 400\">Below given are some important <strong>features of Apache HBase<\/strong> are:<\/span><\/p>\n<ul>\n<li style=\"font-weight: 400\"><span style=\"font-weight: 400\">Apache HBase is linearly scalable.<\/span><\/li>\n<li style=\"font-weight: 400\"><span style=\"font-weight: 400\">Moreover, it provides automatic failure support.<\/span><\/li>\n<li style=\"font-weight: 400\"><span style=\"font-weight: 400\">It also offers consistent read and writes.<\/span><\/li>\n<li style=\"font-weight: 400\"><span style=\"font-weight: 400\">We can integrate it with Hadoop, both as a source as well as the destination.<\/span><\/li>\n<li style=\"font-weight: 400\"><span style=\"font-weight: 400\">Also, it has easy java API for the client.<\/span><\/li>\n<li style=\"font-weight: 400\"><span style=\"font-weight: 400\">HBase also offers data replication across clusters.<\/span><\/li>\n<\/ul>\n<h2><span style=\"font-weight: 400\">Uses of HBase<\/span><\/h2>\n<p><span style=\"font-weight: 400\">Most <strong>Use cases of Apache HBase<\/strong> are:<\/span><\/p>\n<ul>\n<li style=\"font-weight: 400\"><span style=\"font-weight: 400\">While we want to have random, real-time read\/write access to <strong>Big Data<\/strong>, we use Apache HBase.<\/span><\/li>\n<li style=\"font-weight: 400\"><span style=\"font-weight: 400\">It is possible to host very large tables on top of clusters of commodity hardware with Apache HBase.<\/span><\/li>\n<li style=\"font-weight: 400\"><span style=\"font-weight: 400\">After Google&#8217;s Bigtable, HBase is a non-relational database modeled. Basically, as Bigtable acts up on Google File System, in same way HBase works on top of Hadoop and HDFS.<\/span><\/li>\n<\/ul>\n<h2><span style=\"font-weight: 400\">Applications of HBase<\/span><\/h2>\n<p><span style=\"font-weight: 400\">Here, we are listing some applications of HBase:<\/span><\/p>\n<ul>\n<li style=\"font-weight: 400\"><span style=\"font-weight: 400\">While it is must write-heavy applications, we can use Apache HBase.<\/span><\/li>\n<li style=\"font-weight: 400\"><span style=\"font-weight: 400\">Moreover, while we need to provide fast random access to available data, we use HBase.<\/span><\/li>\n<li style=\"font-weight: 400\"><span style=\"font-weight: 400\">Also, some companies use HBase internally, like Facebook, Twitter, Yahoo, and Adobe etc.<\/span><\/li>\n<\/ul>\n<h2><span style=\"font-weight: 400\">HBase Comparisons<\/span><\/h2>\n<p>Below given are some comparisons with HBase Technology:<\/p>\n<h3><span style=\"font-weight: 400\">i. HBase vs HDFS<\/span><\/h3>\n<div id=\"attachment_18234\" style=\"width: 1210px\" class=\"wp-caption aligncenter\"><a href=\"https:\/\/data-flair.training\/blogs\/wp-content\/uploads\/sites\/2\/2018\/06\/HBase-vs-HDFS.png\"><img loading=\"lazy\" decoding=\"async\" aria-describedby=\"caption-attachment-18234\" class=\"wp-image-18234 size-full\" src=\"https:\/\/data-flair.training\/blogs\/wp-content\/uploads\/sites\/2\/2018\/06\/HBase-vs-HDFS.png\" alt=\"HBase Tutorial\" width=\"1200\" height=\"428\" srcset=\"https:\/\/data-flair.training\/blogs\/wp-content\/uploads\/sites\/2\/2018\/06\/HBase-vs-HDFS.png 1200w, https:\/\/data-flair.training\/blogs\/wp-content\/uploads\/sites\/2\/2018\/06\/HBase-vs-HDFS-150x54.png 150w, https:\/\/data-flair.training\/blogs\/wp-content\/uploads\/sites\/2\/2018\/06\/HBase-vs-HDFS-300x107.png 300w, https:\/\/data-flair.training\/blogs\/wp-content\/uploads\/sites\/2\/2018\/06\/HBase-vs-HDFS-768x274.png 768w, https:\/\/data-flair.training\/blogs\/wp-content\/uploads\/sites\/2\/2018\/06\/HBase-vs-HDFS-1024x365.png 1024w\" sizes=\"auto, (max-width: 1200px) 100vw, 1200px\" \/><\/a><p id=\"caption-attachment-18234\" class=\"wp-caption-text\">HBase Tutorial &#8211;<\/p><\/div>\n<p><strong>a. Built on<\/strong><\/p>\n<ul>\n<li style=\"font-weight: 400\"><span style=\"font-weight: 400\">HBase<\/span><\/li>\n<\/ul>\n<p><span style=\"font-weight: 400\">It is built on top of the HDFS.<\/span><\/p>\n<ul>\n<li style=\"font-weight: 400\"><span style=\"font-weight: 400\">HDFS<\/span><\/li>\n<\/ul>\n<p><span style=\"font-weight: 400\">Whereas, it is suitable for storing large files.<\/span><br \/>\n<strong>b. lookups<\/strong><\/p>\n<ul>\n<li style=\"font-weight: 400\"><span style=\"font-weight: 400\">HBase<\/span><\/li>\n<\/ul>\n<p><span style=\"font-weight: 400\">Basically, for larger tables, it offers fast lookups.<\/span><\/p>\n<ul>\n<li style=\"font-weight: 400\"><span style=\"font-weight: 400\">HDFS<\/span><\/li>\n<\/ul>\n<p><span style=\"font-weight: 400\">Whereas, HDFS does not offer fast lookups.<\/span><br \/>\n<strong>C. Latency<\/strong><\/p>\n<ul>\n<li style=\"font-weight: 400\"><span style=\"font-weight: 400\">HBase<\/span><\/li>\n<\/ul>\n<p><span style=\"font-weight: 400\">HBase offers low latency access.<\/span><\/p>\n<ul>\n<li style=\"font-weight: 400\"><span style=\"font-weight: 400\">HDFS<\/span><\/li>\n<\/ul>\n<p><span style=\"font-weight: 400\">Moreover, it offers high latency batch processing; but does not support batch processing.<\/span><\/p>\n<h3><span style=\"font-weight: 400\">ii. HBase vs RDBMS<\/span><\/h3>\n<div id=\"attachment_18235\" style=\"width: 1210px\" class=\"wp-caption aligncenter\"><a href=\"https:\/\/data-flair.training\/blogs\/wp-content\/uploads\/sites\/2\/2018\/06\/HBase-vs-RDBMS.png\"><img loading=\"lazy\" decoding=\"async\" aria-describedby=\"caption-attachment-18235\" class=\"wp-image-18235 size-full\" src=\"https:\/\/data-flair.training\/blogs\/wp-content\/uploads\/sites\/2\/2018\/06\/HBase-vs-RDBMS.png\" alt=\"HBase vs HDFS\" width=\"1200\" height=\"517\" srcset=\"https:\/\/data-flair.training\/blogs\/wp-content\/uploads\/sites\/2\/2018\/06\/HBase-vs-RDBMS.png 1200w, https:\/\/data-flair.training\/blogs\/wp-content\/uploads\/sites\/2\/2018\/06\/HBase-vs-RDBMS-150x65.png 150w, https:\/\/data-flair.training\/blogs\/wp-content\/uploads\/sites\/2\/2018\/06\/HBase-vs-RDBMS-300x129.png 300w, https:\/\/data-flair.training\/blogs\/wp-content\/uploads\/sites\/2\/2018\/06\/HBase-vs-RDBMS-768x331.png 768w, https:\/\/data-flair.training\/blogs\/wp-content\/uploads\/sites\/2\/2018\/06\/HBase-vs-RDBMS-1024x441.png 1024w\" sizes=\"auto, (max-width: 1200px) 100vw, 1200px\" \/><\/a><p id=\"caption-attachment-18235\" class=\"wp-caption-text\">HBase vs HDFS<\/p><\/div>\n<p><strong>a. Structure<\/strong><\/p>\n<ul>\n<li style=\"font-weight: 400\"><span style=\"font-weight: 400\">HBase<\/span><\/li>\n<\/ul>\n<p><span style=\"font-weight: 400\">It is schema-less<\/span><\/p>\n<ul>\n<li style=\"font-weight: 400\"><span style=\"font-weight: 400\">RDBMS<\/span><\/li>\n<\/ul>\n<p><span style=\"font-weight: 400\">Generally, it is governed by its schema, that describes the whole structure of tables.<\/span><br \/>\n<strong>b. Scalability<\/strong><\/p>\n<ul>\n<li style=\"font-weight: 400\"><span style=\"font-weight: 400\">HBase<\/span><\/li>\n<\/ul>\n<p><span style=\"font-weight: 400\">It is built for wide tables. Moreover, it is horizontally scalable.<\/span><\/p>\n<ul>\n<li style=\"font-weight: 400\"><span style=\"font-weight: 400\">RDBMS<\/span><\/li>\n<\/ul>\n<p><span style=\"font-weight: 400\">Whereas, RDBMS is thin and built for small tables. And it is Hard to scale.<\/span><br \/>\n<strong>c. Transaction<\/strong><\/p>\n<ul>\n<li style=\"font-weight: 400\"><span style=\"font-weight: 400\">HBase<\/span><\/li>\n<\/ul>\n<p><span style=\"font-weight: 400\">There are No transactions in HBase.<\/span><\/p>\n<ul>\n<li style=\"font-weight: 400\"><span style=\"font-weight: 400\">RDBMS<\/span><\/li>\n<\/ul>\n<p><span style=\"font-weight: 400\">Whereas, it is transactional.<\/span><br \/>\n<strong>D. Data Type<\/strong><\/p>\n<ul>\n<li style=\"font-weight: 400\"><span style=\"font-weight: 400\">HBase<\/span><\/li>\n<\/ul>\n<p><span style=\"font-weight: 400\">HBase is good for both semi-structured as well as structured data.<\/span><\/p>\n<ul>\n<li style=\"font-weight: 400\"><span style=\"font-weight: 400\">RDBMS<\/span><\/li>\n<\/ul>\n<p><span style=\"font-weight: 400\">RDBMS is very good for structured data only.<\/span><\/p>\n<h2><span style=\"font-weight: 400\">HBase Tutorial &#8211; Career in HBase<\/span><\/h2>\n<p><span style=\"font-weight: 400\">As we know, day by day Hadoop deployment is rising and we can say HBase is the perfect platform for working on top of the HDFS (Hadoop Distributed File System). Hence, at this time, learning HBase will be very helpful in growth. <\/span><\/p>\n<p><span style=\"font-weight: 400\">Even companies are looking for candidates who can deploy HBase data models at scale on large Hadoop clusters consisting of commodity hardware. <\/span><\/p>\n<p><span style=\"font-weight: 400\">So, learning this HBase technology will help us to perform several operations, like deploy Load Utility to load a file, integrate it with Hive, learn about the HBase API and the HBase Shell. Hence, learning it will take our career to the next level.<\/span><\/p>\n<p>So, this was all in HBase tutorial. Hope you like our explanation.<\/p>\n<h2><span style=\"font-weight: 400\">Conclusion<\/span><\/h2>\n<p>Hence, in this HBase tutorial, we saw the whole concept of HBase in this introductory guide. Moreover, we discussed the HBase introduction, uses, architecture, and features.<\/p>\n<p>Keep visiting DataFlair for more tutorial blogs on HBase Technology. Next, we will see HBase Architecture. Also, if any doubt occurs, feel free to ask in the comment type.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Let&#8217;s explore the new trending technology i.e. Apache HBase.\u00a0Today, in this Apache HBase tutorial, we will see HBase introduction and find out why HBase is popular. Moreover, we will see HBase history and why&#46;&#46;&#46;<\/p>\n","protected":false},"author":7,"featured_media":18232,"comment_status":"open","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[23],"tags":[796,797,1041,2293,5393,5398,5426,5432,5441,5661,8142,15257,15738,16145],"class_list":["post-16177","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-hbase","tag-apache-hbase-for-beginners","tag-apache-hbase-tutorial","tag-applications-of-hbase","tag-career-in-hbase","tag-hbase-architecture","tag-hbase-career","tag-hbase-features","tag-hbase-history","tag-hbase-introduction","tag-history-of-hbase","tag-learn-hbase","tag-uses-of-hbase","tag-what-is-hbase","tag-why-hbase"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v27.4 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>HBase Tutorial For Beginners | Learn Apache HBase in 12 min - DataFlair<\/title>\n<meta name=\"description\" content=\"HBase Tutorial:Apache HBase meaning, HBase architecture,reasons to learn Apache,HBase Features,HBase Comparisons,Career in HBase,why HBase,HBase history\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/data-flair.training\/blogs\/hbase-tutorial\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"HBase Tutorial For Beginners | Learn Apache HBase in 12 min - 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