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In this contributed article, Ozan Unlu, CEO and Founder of Edge Delta, explores how a cloud-first world demands that observability be approached in a different way, one that favors “small data” over “BigData.” In some cases, Ozan believes, a central repository is no longer even needed.
In this contributed article, IT Professional Subhadip Kumar draws attention to the significant roadblock that data silos present in the realm of BigData initiatives. In today's data-driven landscape, the seamless flow and integration of information are paramount for deriving meaningful insights.
This article was published as a part of the Data Science Blogathon. Introduction “Bigdata in healthcare” refers to much health data collected from many sources, including electronic health records (EHRs), medical imaging, genomic sequencing, wearables, payer records, medical devices, and pharmaceutical research.
In this continuing regular feature, we give all our valued readers a monthly heads-up for the top 10 most viewed articles appearing on insideBIGDATA. Over the past several months, we’ve heard from many of our followers that this feature will enable them to catch up with important news and features flowing across our many channels.
In this continuing regular feature, we give all our valued readers a monthly heads-up for the top 10 most viewed articles appearing on insideBIGDATA. Over the past several months, we’ve heard from many of our followers that this feature will enable them to catch up with important news and features flowing across our many channels.
In this contributed article, freelance writer Ainsley Lawrence suggests that in the financial sector, decision-making often comes with a higher degree of risk, but with insights provided by bigdata, those risks can be mitigated, leading to increased revenue and enhanced efficiency.
In this contributed article, Alexander Norell of VikingCloud explores how bigdata analytics can significantly improve cybersecurity strategies by enabling more accurate threat detection and real-time response capabilities.
In this continuing regular feature, we give all our valued readers a monthly heads-up for the top 10 most viewed articles appearing on insideBIGDATA. Over the past several months, we’ve heard from many of our followers that this feature will enable them to catch up with important news and features flowing across our many channels.
This article was published as a part of the Data Science Blogathon. Introduction One of the sources of BigData is the traditional application management system or the interaction of applications with relational databases using RDBMS. BigData storage and analysis […].
In this regular feature, we highlight thought-leadership commentaries from members of the bigdata ecosystem. Welcome to insideBIGDATA’s “Heard on the Street” round-up column!
This article was published as a part of the Data Science Blogathon. Introduction Since the 1970s, relational database management systems have solved the problems of storing and maintaining large volumes of structured data.
This article was published as a part of the Data Science Blogathon. Introduction With the increasing use of technology, data accumulation is faster than ever due to connected smart devices. These devices continuously collect and transmit data that can be processed, transformed, and stored for later use.
This article was published as a part of the Data Science Blogathon. Introduction A key aspect of bigdata is data frames. However, Spark is more suited to handling scaled distributed data, whereas Pandas is not. Pandas and Spark are two of the most popular types. What […].
In this regular feature, we highlight thought-leadership commentaries from members of the bigdata ecosystem. Welcome to insideBIGDATA’s “Heard on the Street” round-up column!
In this regular feature, we highlight thought-leadership commentaries from members of the bigdata ecosystem. Welcome to insideBIGDATA’s “Heard on the Street” round-up column!
Straight from the executive suite, you’ll learn about what’s predicted to happen with AI, GenAI, LLMs, BI, data science, data engineering, and much more. Our friends over at HP, Inc. have prepared a special set of compelling technology predictions for the year ahead. From the company’s point of view 2024 should be quite a year!
In this regular feature, we highlight thought-leadership commentaries from members of the bigdata ecosystem. Welcome to insideBIGDATA’s “Heard on the Street” round-up column!
In this column, we present a variety of short time-critical news items grouped by category such as M&A activity, people movements, funding news, financial results, industry alignments, customer wins, rumors and general scuttlebutt floating around the bigdata, data science and machine learning industries including behind-the-scenes anecdotes and (..)
In this regular feature, we highlight thought-leadership commentaries from members of the bigdata ecosystem. Welcome to insideBIGDATA’s “Heard on the Street” round-up column!
This article was published as a part of the Data Science Blogathon. Introduction In the era of bigdata, it’s no surprise that more and more marketers are using data science in marketing to better position their brands, products, and services in today’s hyper-competitive marketplace.
This article was published as a part of the Data Science Blogathon. Introduction AWS Glue helps Data Engineers to prepare data for other data consumers through the Extract, Transform & Load (ETL) Process. It provides organizations with […].
Introduction The field of data science is evolving rapidly, and staying ahead of the curve requires leveraging the latest and most powerful tools available. In 2024, data scientists have a plethora of options to choose from, catering to various aspects of their work, including programming, bigdata, AI, visualization, and more.
In this regular feature, we highlight thought-leadership commentaries from members of the bigdata ecosystem. Welcome to insideBIGDATA’s “Heard on the Street” round-up column!
In this regular column, we’ll bring you all the latest industry news centered around our main topics of focus: bigdata, data science, machine learning, AI, and deep learning. Our industry is constantly accelerating with new products and services being announced everyday.
These are exciting times, so we decided to put together this round-up of commentaries from around the bigdata ecosystem. In the last year, the AI chatbot has secured support from major Silicon Valley companies and seen integration across various fields including academia, the arts, marketing, medicine, gaming, and government.
Introduction Data analytics is a discipline that is flourishing with potential since businesses from all sectors are making substantial investments in bigdata and expanding their analytics teams. This article will guide […] The post How to Become a Data Analyst in the USA?
In this regular column, we’ll bring you all the latest industry news centered around our main topics of focus: bigdata, data science, machine learning, AI, and deep learning. Our industry is constantly accelerating with new products and services being announced everyday.
In this column, we present a variety of short time-critical news items grouped by category such as M&A activity, people movements, funding news, financial results, industry alignments, customer wins, rumors and general scuttlebutt floating around the bigdata, data science and machine learning industries including behind-the-scenes anecdotes and (..)
Topics include bigdata, data science, machine learning, AI, and deep learning. Welcome to the insideBIGDATA series of podcast presentations, a highly curated collection of topics relevant to our global audience.
Topics include bigdata, data science, machine learning, AI, and deep learning. Welcome to the insideBIGDATA series of podcast presentations, a curated collection of topics relevant to our global audience. Today's guest is Supreet Kaur, Assistant Vice President at Morgan Stanley.
In this regular feature, we highlight thought-leadership commentaries from members of the bigdata ecosystem. Welcome to insideBIGDATA’s “Heard on the Street” round-up column!
In this regular feature, we highlight thought-leadership commentaries from members of the bigdata ecosystem. Welcome to insideBIGDATA’s “Heard on the Street” round-up column!
In this regular column, we’ll bring you all the latest industry news centered around our main topics of focus: bigdata, data science, machine learning, AI, and deep learning. Our industry is constantly accelerating with new products and services being announced everyday.
In this contributed article, Coral Trivedi, Product Manager at Fivetran, discusses how enterprises can get the most value from a data lake. The article discusses automation, security, pipelines and GSPR compliance issues.
In this contributed article, Ishan Gupta. CEO and Co-founder of RipenApps, discusses how banks have historically been at the forefront of technological advancements, they are renowned for using computers as well as providing internet-based financial services. However, the rise of AI has brought with it a new dawn of innovations.
In this regular column, we’ll bring you all the latest industry news centered around our main topics of focus: bigdata, data science, machine learning, AI, and deep learning. Our industry is constantly accelerating with new products and services being announced everyday.
In this contributed article, Al Gharakhanian, Machine Learning Development Director, Cognityze, takes a look at anomaly detection in terms of real-life use cases, addressing critical factors, along with the relationship with machine learning and artificial neural networks.
Vultr, the privately held cloud computing platform, announced a partnership with GPU-accelerated analytics platform provider HEAVY.AI. Integrating Vultr's global NVIDIA GPU cloud infrastructure into its operations, HEAVY.AI
In this contributed article, Gal Naor, Co-Founder and CEO of Storone, explores why auto-tiering is essential for AI solutions in terms of data storage. By embracing auto-tiering, AI-driven organizations can ensure they meet both the demands of today’s data-intensive environments and the challenges of tomorrow.
In this contributed article, Sangeeta Krishnan highlights how a data gap refers to missing data about a particular area of interest. Data gaps are a problem for organizations of all sizes. They can be costly, frustrating and time consuming to fix.
In this contributed article, Rishabh Poddar, Ph.D., CEO and Co-Founder of Opaque Systems, points out that $300 billion of the world’s most valuable data remains untapped due to the lack of a secure processing environment.
This article is excerpted from the book, “Winning with Data Science: A Handbook for Business Leaders,” by Howard Friedman and Akshay Swaminathan with permission from the publisher, Columbia Business School Publishing. The article covers how to avoid 8 data-related mistakes on data projects
In this regular column, we’ll bring you all the latest industry news centered around our main topics of focus: bigdata, data science, machine learning, AI, and deep learning. Our industry is constantly accelerating with new products and services being announced everyday.
In this contributed article, Supratik Shankar, Co-founder of Dview Technologies, explores how data analytics and insights can be leveraged to achieve sustainability goals, the challenges and opportunities in implementing data-driven sustainability initiatives, and the future trends that will shape this field.
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