EMERGING BIG DATA TRENDS FOR 2018

Big data market will be worth US$46.34 billion by end of 2018. This clearly indicates that big data is in a constant phase of growth and evolution. IDC estimates that the global revenue from big data will reach US$203 billion by 2020 and there will be close to 440,000 big data related job roles in the US alone with only 300,000 skilled professionals to fill them. Bidding adieu to 2017 and just in the third month of 2018, we look at the marked differences in the big data space what exciting may be on the horizon for big data in 2018. Tracking big data trends is just similar to monitoring the regular shifts in the wind- the moment you sense its direction, it changes. Yet the following big data trends are likely to shape up in 2018.

1) Big Data and Open Source

Forrester forecast report on big data tech market reveals that Hadoop usage is increasing 32.9% year on year. Open source big data frameworks like Hadoop, Spark and others are dominating the big data space, and that trend is likely to continue in 2018. According to the TDWI Best Practices Report, Hadoop for the Enterprise by Philip Russom, 60% of the companies plan to have Hadoop clusters running in production by end of 2018. Experts say that in 2018, many organizations will expand the use of big data frameworks like Hadoop, Spark and NoSQL technologies to accelerate big data processing. Companies will hire skilled data experts versed in tools like Hadoop and Spark so that professionals can access and respond to data in real-time through valuable business insights.

2) Big Data Analytics will Include Visualization Models

A survey of 2800 experienced BI professionals in 2017 predicted data discovery and data visualization would become a significant trend. Data discovery now is not just about understanding the analysis and relationships but also represents ways of presenting the analysis to reveal deeper business insights. Humans have greater ability to process visual patterns effectively. Compelling and captivating visualization models will become the choice for processing big data sets making it one of the most significant big data trends in 2018.

3) 2018 will be the year of Streaming Success

2018 will be the year when the goal of every organization adopting big data strategy would be to achieve true streaming analytics: the ability to process and analyze a data set while still it is in the process of creation. This means gleaning insights which are exactly up-to-the-second without having to replicate datasets. As of now, this means making a compromise with the size of the dataset or tolerating a delay but by end of 2018 organizations will be very close to removing these limits.

4) Meeting the “Dark Data” Challenge in 2018

Regardless of all the hype about the increasing data volume that we generate every day, it cannot be denied that databases across the globe remain in analog form, un-digitized, and thus unexploited for any kind of business analytics. 2018 will see increased digitization of the dark data (data that is not yet put to work) stored in the form of paper files, historical records, or any other non-digital data recording formats. This new wave of dark data will enter the cloud. Organizations will develop big data solutions that will allow them to move data easily into Hadoop from environments which are traditionally very dark such as mainframes.

5) AI and Machine Learning to be faster, smarter and more efficient in 2018

AI and Machine learning technology are growing at a lightning pace helping businesses transform through various use cases such as real-time ads, fraud detection, pattern recognition, voice recognition, etc. Machine learning was among the top 10 strategic technology trends in 2017 but 2018 will witness it beyond rule-based tradition algorithms. Machine learning algorithms will become faster and more accurate helping enterprises make more appropriate predictions.

These are just some of the top big data trends that industry experts predict, the continuously evolving nature of this domain means that we are likely to expect some surprises. Big data is pushing the technological space towards a brighter and optimized future. With increasing number of organizations jumping on the big data bandwagon, 2018 is going to be an eventful year. Here’s to another great year of data-driven inventions, innovations, and discoveries.

https://www.analyticsinsight.net/emerging-big-data-trends-2018/

Comments

Bioinformatics Resources on Web

Bioinformatics Resource on the Web(Freely Available) Nucleotide Sequence Databases (the principal ones) · NCBI - National Center for Biotechnology Information · EBI - European Bioinformatics Institute · DDBJ - DNA Data Bank of Japan Protein Sequence Databases · SWISS-PROT & TrEMBL - Protein sequence database and computer annotated supplement · UniProt - UniProt (Universal Protein Resource) is the world's most comprehensive catalog of information on proteins. It is a central repository of protein sequence and function created by joining the information contained in Swiss-Prot, TrEMBL, and PIR. · PIR - Protein Information Resource · ...

Modelling Forecasting Artificial Neural Network and Expert System in Fisheries and Aquaculture

The book entitled 'Modelling Forecasting Artificial Neural Network and Expert System in Fisheries and Aquaculture is the first of its kind available in the market. The book contains altogether sixteen chapter covering both capture and culture fisheries aspects contributed by various subject matter specialists engaged in research and development activities at various national institutes of repute. Each of the chapters has been specially written by an expert in the field bringing together in a single volume a range of approaches and reviews covering conceptual and mathematical model empirical and theoretical model deterministic and stochastic model biological model pond ecosystem model and explanatory models. Both linear as well as nonlinear models applied to fisheries and aquaculture research has been dealt with illustrated examples on current real fisheries data. Adequate attention has been given to select chapters that contain both theoretical as well as applied areas of researc...

Evaluation of Performance of Primary Fisheries Cooperative Societies (MSS) of Tripura

Evaluation of Performance of Primary Fisheries Cooperative Societies (MSS) of Tripura A.D. Upadhyay, M. Sinha, 1 , A.K. Roy, J.R. Dhanze and D.K. Pandey College of Fisheries, Central Agricultural University, Lembucherra Tripura – 799 210, India 1 Directorate of Fisheries, Govt. of Tripura, Agartala, India Email:ad_up@rediffma Abstract Fishermen cooperatives are recognized as means of socio-economic development of fishers/fish farming community, which generally belong to weaker section of the society. The state of Tripura has made significant progress in fish production by 197 per cent from 2004-05 to 2011-12. An attempt has been made in this paper to analyse the status of Fishermen Cooperatives in Tripura with respect to water holdings and fish and fish seed production. It has been found that the fishermen cooperative in Tripura like other states of the country is not encouraging because majority of them...

Applied Computational Biology and Statistics in Biotechnology and Bioinformatics

“Applied Computational Biology and Statistics in Biotechnology and Bioinformatics”: ISBN 9789380235929; Year 2012; Pages 1172 pages, 25cm; Language;English Editor: Ajit Kumar Roy: Consultant (Statistics), Department of Economics and Statistics, College of Fisheries, Central Agricultural University, Lembucherra-799 210, Agartala, Tripura (W), India The book entitled “Applied Computational Biology and Statistics in Biotechnology and Bioinformatics ” is aimed to cater to the growing demand of academia, researchers and commercial ventures. Altogether there are forty-four chapters divided into the following broad sections like 1. Bioinformatics, Genomics and Proteomics, 2. Phylogeny 3. Drug Design and Epigenomics 4. Advanced Computational Tools and Techniques 5. Statistical methods for computational biology, data mining and visualization 6. Socio Economics and Ethics. This book presents the foundations of key problems in computational molecular biology and bioinformatics....

Surprising Mind Blowing Facts and Figures of Big Data (Revised): Big data Statistics (Big data-Series-2 Book 1) Kindle Edition

Surprising Mind Blowing Facts and Figures of Big Data (Revised): Big data Statistics (Big data-Series-2 Book 1) Kindle Edition by Ajit Roy (Author) Big Data” is a hot topic and getting a lot of media and business attention. Everyone is talking about big data, from the challenges to yearly spending, job creation and even the tools required for big data projects. Many believe big data will help businesses make better decisions. Big Data is the expression of this gigantic mass of information that we are constantly generating at the global level due to the tremendous amount of data generated daily from fields such as business, research, and sciences. Big Data is everywhere and represents huge opportunities to those who can use it effectively. Big Data is the result of practically everything in the world being monitored and measured; creating data faster than the available technologies can store, process or manage it. Big data is a buzzword that is ambiguous and of...

Development of Models for Fishery Resources and Production Statistics of West Bengal, India

Development of Models for Fishery Resources and Production Statistics of West Bengal, India Ambalika Ghosh1*, BK Mohapatra2 and AK Roy3 1Department of Fishery, Govt. of West Bengal, India 2ICAR-CIFE, GN-Bl, Salt Lake, India 3College of Fisheries, CAU, India Submission: June 8, 2017; Published: October 12, 2017 Abstract West Bengal is rich in Inland Fishery Resources. Ponds and tanks dominate with 90.62 parent resources under culture. Overall 87.56% of total potential resource is utilized for culture leaving another 12.44% for bring under culture. Total area under of River, Canal/ Khal and Beal / Boars of West Bengal is 279569.31 ha. River occupies 58% of total area followed by canal / Khal (27%) and Beal / boar (15%). Fishermen constitute about 3.3 percent of total population of 9.13 crores in West Bengal. Fisheries are next to agriculture in terms of providing employment and food supply. Fish is an important source of quality protein and cheaper i...

Cashless Economy in India- Present Scenario, Potential, Prospect and Challenges: Post Demonetisation Impact

Cashless Economy in India- Present Scenario, Potential, Prospect and Challenges:https://www.amazon.in/dp/B06XDY34DJ/# March 2017 Edition: 1 Publisher: amazon kindle;Amazon Digital Services LLC Editor: ajit roy ISBN: ASIN: B06XDY34DJ Projects: Big Data and Data Science Initiative in India- Upcoming Job Opportunities: Big Data Job Opportunities in India (Big Data-Series-4) (Volume 1) Paperback • ASIN: 1535188790 • ISBN-13: 978-1535188791 Post Demonetisation-Cashless Economy-digital Indi a To combat black money, corruption, counterfeit currency and terror financing, government took decision on November 8, 2016 to ban Rs 500 & 1000 notes followed by putting a cap on withdrawals from banks and ATMs, Prime Minister Narendra Modi floated the idea of a cashless society. This is a public sector innovation unthought-of in history. A cultural-economic revolution in the making. But this surprise demonetization also pushed millions of new users onto the country’s ...

Fishery resources distribution with emphasis on trends of relationship between fish seed and fish production of Assam.

Fishery resources distribution with emphasis on trends of relationship between fish seed and fish production of Assam. Author(s) : Roy, A. K. ; Upadhyay, A. D. ; Taye, R. K. ; Anushree Das ; Rajita Devi Author Affiliation : College of Fisheries, Central Agricultural University, Lembucherra 799 210, Tripura West, India. Author Email : akroy1946@yahoo.co.in Journal article : Environment and Ecology 2013 Vol.31 No.2B pp.859-863 ref.4 Abstract : Pisciculture is considered as an important economic activity in the socio-economic context in the State of Assam . A survey to assess the fishery resources reveals that Assam is one of the richest state in the country with surface water resources where bheel fisheries and pond and tank fisheries alone occupies about 1.40 lakh hectares area. Within the confined water bodies, bheel fisheries constitute 54% of to...

Microarray Analysis of Fish Genomic Data for enhancing Aquaculture Productivity of India

Microarray Analysis of Fish Genomic Data for enhancing Aquaculture Productivity of India A nn Proteom Bioinform. 2017; 1: 00 6-017. August 2017 DOI: 10.29328/journal.hpbr.1001002 Project: Fisheries/Aquaculture Econometrics/Statistics Ajit kumar Roy Abstract and figures This review gives a brief introduction to the microarray technology and its experimental design and data analysis and a discussion of recent global progress in research using microarray technology in fi sh biology and aquaculture. DNA microarrays have been reported to have been used for the analysis of gene expression during various physiological, developmental or cellular processes in fi sh. During the recent past, investigators have begun to use microarrays on fi sh to address ecological, evolutionary and environmental questions including the variability o...

IMPACT ASSESSMENT OF AN INTERVENTION 'IMPROVED PIG FARMING TECHNOLOGY' FOR LIVELIHOOD IMPROVEMENT OF RURAL POOR AT DHALAI DISTRICT, TRIPURA.

IMPACT ASSESSMENT OF AN INTERVENTION 'IMPROVED PIG FARMING TECHNOLOGY' FOR LIVELIHOOD IMPROVEMENT OF RURAL POOR AT DHALAI DISTRICT, TRIPURA. Ajit Kumar Roy Ex. National Consultant (IA), NAIP, Pusa, New Delhi *Corresponding author: akroy1946@yahoo.co.in Received: August 2016 Revised accepted: September 2016 ABSTRACT Impact assessment is the process of identifying the anticipated or actual impacts of a development intervention, on social, economic and environmental factors. An impact assessment study was carried out at Ambassa,Balaram and Morachera clusters of Dhalai district, Tripura during 2013 under NAIP project to evaluate and validate indigenous 'Improved Pig Farming Technology' (intervention) for enhancing production, profitability and competitiveness in agro ecosystem of disadvantageous areas of NEH region.Ex-post design covering both qualitative and quantitative data through random sampling and purposive selection method was taken for collection of Primary ...

Search This Blog