{"id":7826,"date":"2018-06-18T15:11:39","date_gmt":"2018-06-18T15:11:39","guid":{"rendered":"https:\/\/www.investintech.com\/resources\/blog\/?p=7826"},"modified":"2019-08-22T10:44:19","modified_gmt":"2019-08-22T10:44:19","slug":"data-analysts-big-data-tools","status":"publish","type":"post","link":"https:\/\/www.investintech.com\/resources\/blog\/archives\/7826-data-analysts-big-data-tools.html","title":{"rendered":"What Budding Data Analysts Need To Know About Working With Big Data Tools"},"content":{"rendered":"<p><a href=\"https:\/\/www.investintech.com\/resources\/blog\/wp-content\/uploads\/2018\/05\/Data-Analyst-Tools.jpg\"><img loading=\"lazy\" decoding=\"async\" class=\"aligncenter size-large wp-image-8201\" src=\"https:\/\/www.investintech.com\/resources\/blog\/wp-content\/uploads\/2018\/05\/Data-Analyst-Tools-1024x682.jpg\" alt=\"Tools for Big Data analysis\" width=\"640\" height=\"426\" srcset=\"https:\/\/www.investintech.com\/resources\/blog\/wp-content\/uploads\/2018\/05\/Data-Analyst-Tools-1024x682.jpg 1024w, https:\/\/www.investintech.com\/resources\/blog\/wp-content\/uploads\/2018\/05\/Data-Analyst-Tools-300x200.jpg 300w, https:\/\/www.investintech.com\/resources\/blog\/wp-content\/uploads\/2018\/05\/Data-Analyst-Tools-768x512.jpg 768w, https:\/\/www.investintech.com\/resources\/blog\/wp-content\/uploads\/2018\/05\/Data-Analyst-Tools.jpg 1280w\" sizes=\"auto, (max-width: 640px) 100vw, 640px\" \/><\/a><\/p>\n<p><span style=\"font-weight: 400;\">In some cases, employers may use the term \u201cData Analyst\u201d to refer to an entry-level data scientist. Thus, a data analyst may be expected to take on the role of a data scientist, but at a junior level. In essence, theirs is a more technical role. They<\/span><span style=\"font-weight: 400;\"> make discoveries from huge datasets, bringing structure to formless data and making analysis possible.\u00a0They can find, manipulate and join data sources with other sources and clean the resulting dataset.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">The work of a data analyst isn\u2019t bound by industry.<\/span> <span style=\"font-weight: 400;\"><a href=\"https:\/\/www.ngdata.com\/what-is-data-analysis\/\" target=\"_blank\" rel=\"nofollow\" class=\"broken_link\">Analyzing data<\/a> demands pretty much the same process everywhere, regardless of the nature of the data being used. You ask a question, do your research, get the relevant data, and explore it. Then from there you come up with a hypothesis on that data, start modeling, validating and drawing conclusions from it. Lastly, you reach the reporting stage where you visualize, summarize, and interpret that data.<\/span><\/p>\n<p><!--more--><\/p>\n<h2><b>Working With BigData IRL<\/b><\/h2>\n<p><span style=\"font-weight: 400;\">During that investigative process, data analysts use a variety of tools at every stage in the process. From Tabula, Excel to Adobe Illustrator, a <a href=\"https:\/\/medium.com\/daphni-chronicles\/find-your-way-in-the-jungle-of-data-analysis-363c11aff348\" target=\"_blank\" rel=\"nofollow\" class=\"broken_link\">data analyst\u2019s desktop tools<\/a> can cover a wide spectrum. But you\u2019ll find that one of the most notable obstacles in the industry involves large-scale projects with datasets that need more complex tools. You need a backend specialist to work with them. <\/span><\/p>\n<p><span style=\"font-weight: 400;\">With frameworks like <\/span><span style=\"font-weight: 400;\">Hadoop, for instance, that work with large amounts of data<\/span><span style=\"font-weight: 400;\">, you\u2019d have to have access to it and know what you\u2019re doing to get real value from it. And although you can integrate such technology with your company, again, it\u2019s a solution that requires programming knowledge or a skilled professional. The learning curve for such solutions is too steep, and this <\/span><span style=\"font-weight: 400;\">is a common issue professionals are currently trying to cope with. <\/span><\/p>\n<p><span style=\"font-weight: 400;\">This is where those who aren\u2019t formally trained or schooled in programming and data<\/span> <span style=\"font-weight: 400;\">mining are trying to keep up<\/span><span style=\"font-weight: 400;\">. More and more, a wide range of professionals are falling into the position of a data analyst who <\/span><span style=\"font-weight: 400;\">doesn\u2019t<\/span> <span style=\"font-weight: 400;\">understand coding very well<\/span><span style=\"font-weight: 400;\">. <\/span><span style=\"font-weight: 400;\">Because big <\/span><span style=\"font-weight: 400;\">d<\/span><span style=\"font-weight: 400;\">ata is flourishing at an unprecedented rate, non-data scientists need to find or fashion their own person<\/span><span style=\"font-weight: 400;\">al toolset they can use on their own.<\/span><\/p>\n<p><a href=\"https:\/\/www.investintech.com\/resources\/blog\/wp-content\/uploads\/2018\/06\/Non-Data-Scientist-Tools.jpg\"><img loading=\"lazy\" decoding=\"async\" class=\"aligncenter wp-image-8203\" src=\"https:\/\/www.investintech.com\/resources\/blog\/wp-content\/uploads\/2018\/06\/Non-Data-Scientist-Tools-300x200.jpg\" alt=\"Data analyst who doesn't know programming\" width=\"600\" height=\"399\" srcset=\"https:\/\/www.investintech.com\/resources\/blog\/wp-content\/uploads\/2018\/06\/Non-Data-Scientist-Tools-300x200.jpg 300w, https:\/\/www.investintech.com\/resources\/blog\/wp-content\/uploads\/2018\/06\/Non-Data-Scientist-Tools-768x511.jpg 768w, https:\/\/www.investintech.com\/resources\/blog\/wp-content\/uploads\/2018\/06\/Non-Data-Scientist-Tools.jpg 960w\" sizes=\"auto, (max-width: 600px) 100vw, 600px\" \/><\/a><\/p>\n<p><span style=\"font-weight: 400;\">This occurs even at a general user level. For example, journalists from digital news and media publications right now are struggling to work with the PDF datasets they need to complete their stories, most of whom don\u2019t work with highly technical tools. They deal with the task of requesting a number of documents of information from governments or local agencies that are scanned into PDF documents, which they then have to extract and analyze before integrating it into the articles they publish. Journalists who don\u2019t possess a technical skillset need <a href=\"https:\/\/www.analyticsvidhya.com\/blog\/2018\/05\/19-data-science-tools-for-people-dont-understand-coding\/\" target=\"_blank\" rel=\"nofollow\" class=\"broken_link\">easy-to-use tools<\/a> without having to rely on a data team when meeting a deadline. <\/span><\/p>\n<p><span style=\"font-weight: 400;\">This is just one example, but from business to accounting, the same issue is occurring across the board in one form or another. \u00a0So where does this leave the non-data scientist?<\/span><\/p>\n<h2><b>A Makeshift Or Ideal Solution? <\/b><\/h2>\n<p><span style=\"font-weight: 400;\">One solution is to turn to advanced and intuitive desktop tools for analyzing big data sets. For instance, data analysts can use Microsoft Excel for the most basic features to clean data in pivot tables or by column. Also, PDF conversion tools are being improved so that users can customize the data extraction process to simplify the data analysis in Excel.<\/span><\/p>\n<p style=\"padding: 2px 6px 4px 6px; color: #555555; background-color: #eeeeee; border: #dddddd 2px solid;\"><span style=\"font-weight: 400;\">Bonus Tip: Try extracting data trapped in PDF into Excel spreadsheets with <a href=\"https:\/\/www.investintech.com\/prod_downloadsa2e.htm\">Able2Extract PDF Converter<\/a>.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">Microsoft is further addressing the issue with PowerBI and Access, making powerful database and information manipulation features more accessible with a lower learning curve. OpenRefine is also an accessible tool that journalists are using to clean their data on the spot. And visualization tools like Tableau are bringing graphical design tasks down to a more user-friendly and intuitive level. <\/span><span style=\"font-weight: 400;\">And this is where the budding data analyst stands right now.<\/span><\/p>\n<p><a href=\"https:\/\/www.investintech.com\/resources\/blog\/wp-content\/uploads\/2018\/06\/Excel-BI-Document.png\"><img loading=\"lazy\" decoding=\"async\" class=\"aligncenter wp-image-8204\" src=\"https:\/\/www.investintech.com\/resources\/blog\/wp-content\/uploads\/2018\/06\/Excel-BI-Document.png\" alt=\"Analyzing data with Excel\" width=\"600\" height=\"459\" srcset=\"https:\/\/www.investintech.com\/resources\/blog\/wp-content\/uploads\/2018\/06\/Excel-BI-Document.png 942w, https:\/\/www.investintech.com\/resources\/blog\/wp-content\/uploads\/2018\/06\/Excel-BI-Document-300x229.png 300w, https:\/\/www.investintech.com\/resources\/blog\/wp-content\/uploads\/2018\/06\/Excel-BI-Document-768x587.png 768w\" sizes=\"auto, (max-width: 600px) 100vw, 600px\" \/><\/a><\/p>\n<h2><b>Conclusion<\/b><\/h2>\n<p><span style=\"font-weight: 400;\">The demand for data science skills and learning is outpacing the supply causing the online education market (MOOCs, \u00a0tutorial packages, and DIY sources) booming. As the trending demand for such skills unfolds, we have yet to see how fast that gap will close. \u00a0In the meantime, if you\u2019re looking for ways to work with your data in Excel, you can find <\/span><a href=\"https:\/\/www.investintech.com\/resources\/blog\/archives\/5916-excel-tips-for-data-analysts.html\"><span style=\"font-weight: 400;\">Excel tips for data analysts<\/span><\/a> <span style=\"font-weight: 400;\">you can use at each stage of the process on the Investintech blog. <\/span><\/p>\n","protected":false},"excerpt":{"rendered":"<p>In some cases, employers may use the term \u201cData Analyst\u201d to refer to an entry-level data scientist. Thus, a data analyst may be expected to take on the role of a data scientist, but at a junior level. In essence, theirs is a more technical role. They make discoveries from huge datasets, bringing structure to &#8230; <a title=\"What Budding Data Analysts Need To Know About Working With Big Data Tools\" class=\"read-more\" href=\"https:\/\/www.investintech.com\/resources\/blog\/archives\/7826-data-analysts-big-data-tools.html\" aria-label=\"More on What Budding Data Analysts Need To Know About Working With Big Data Tools\">Continue reading \u2192<\/a><\/p>\n","protected":false},"author":2,"featured_media":0,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[6],"tags":[335,232,153],"class_list":["post-7826","post","type-post","status-publish","format-standard","hentry","category-3-diversions","tag-big-data","tag-data-analysis","tag-tools"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v26.2 - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>What Budding Data Analysts Should Know About Big Data Tools<\/title>\n<meta name=\"description\" content=\"Just getting started with big data? Join us as we discuss issues you can expect as a data analyst and about the role big data tools will play in your work.\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/www.investintech.com\/resources\/blog\/archives\/7826-data-analysts-big-data-tools.html\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"What Budding Data Analysts Should Know About Big Data Tools\" \/>\n<meta property=\"og:description\" content=\"Just getting started with big data? 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