How big (or huge) big data is? Before you draw any definite conclusion, you need to have the answer to “what is big data?”  In this blog, we will discuss what big data is along with its other components. We will also discuss various examples and types of Big Data along with its future and applications. Before we learn what big data is, let us first understand the definition of Data.  What is Big Data? Oracle defines Big Data as:    “Data that contains greater variety, arriving in increasing volumes and with more velocity.”   In simple words, Big Data is larger, more complex data sets—particularly from new data sources. These data sets are voluminous which makes it difficult to process or deal with them using traditional data processing software. However, these massive volumes of data can be used to manage several business problems that were previously difficult to tackle.   The definition of Big Data can be: “Big Data is large and varied information sets expanding at an exponential rate.” It refers to the enormous and difficult-to-manage volumes of both structured and unstructured data that daily engulf enterprises. Big Data analysis can produce insights to help with decision-making and provide assurance while undertaking …

The post What is Big Data and what is its future ? appeared first on IT Post News.

Introduction Today, big data has become a game changer for enterprises and industry influencers likewise. Over the last few years, applications of big data have greatly increased. Did you know that the Big Data market size is projected to grow from $162.6 Billion in 2021 to $273.4 Billion in 2026? In fact, the market size is estimated to grow at a CAGR of 11.0% during the forecast period. The above stats only emphasize the increasing adoption and application of big data in all types of modern industries. With its growing implementation in our daily lives, industries have shifted their focus towards finding the real value of big data instead of focusing on the hype around it. In this blog, we will take a look at the applications of big data in major industries like healthcare, finance, cyber security, social media as well as government agencies. Applications of Big Data The main purpose of big data is to analyze large amounts of data and help businesses make better decisions accordingly. Here are some of the notable fields where you can find the maximum application of big data: 1. Application of Big Data in Healthcare Recent data from the Office of the …

The post 5 Real-time Applications of Big Data in 2022 appeared first on IT Post News.

What is big data? And why do we need it? Big Data is defined as a huge and complex amount of data sets having different types of valuable information. but this massive amount of data can’t be stored, processed, and analyzed using traditional database management tools. Research has shown that every single day there are millions of data sources generating around 2.5 quintillion bytes of data which are either structured [information that can easily categorize and search] or unstructured [not well organized assume video content, blog posts, written emails, and other sources of information that don’t have relevance] For this purpose, Big data experts can use this information to improve business decisions across industries, including Lead generation, healthcare, government, and finance. To sum up, it’s used to assume the needs of the customer, and to fulfill them by all means. How big is data important in the digital world? It is well said that knowledge is power and in IT companies informational Data is power, without a systematic arrangement, nothing in a business works it’s like wasting time and effort. Big Data provides precise information about what users are searching for. Big Data analyses the need of users in real-time. …

The post Future of Big Data: 5 Predictions for 2022-25 by Experts! appeared first on IT Post News.

Introduction Data is every marketer’s best friend. Today, data has become an important asset to every marketer. We require data to identify what’s working well in our campaigns and what’s not, to diagnose potential problems, and so much more. However, many marketers fail to understand that some data simply holds more valuable than others. so, knowing which data can help you excel can be key. Extracting data at scale can be overwhelming; however, web scraping using Python, and other coding languages, can simplify that process. Marketers must know metrics to monitor as they can mean the difference between success and failure. And to make your task a little simple, there are hundreds) of marketing analysis tools available on the internet just a click away. Some of these tools are free while others are not. Some tools are specifically good at one thing whereas others offer a broad range of functionality. Most importantly all of them hold one promise, to provide you the sweet data that can help with run campaigns more effectively as packaging printers pledge to make you marketing campaign proactive What to look for before selecting big data analytics tools? Analytic Capabilities: Different tools have different types of analytics …

The post 6 Best Big Data Analytics Tools for Marketers appeared first on IT Post News.

Businesses are growing rapidly and so is big data. It has significantly transformed the way businesses operate. It has the potential to save both time and money for the business as analytics allows for improved ad targeting. It has changed the way people work and impacted multiple sectors including retail, healthcare, marketing, and others. Today, social media marketing agencies are developing media strategies based on the insights found with the help of big data analytics. Previously, social media start with the purpose of connecting with friends, however, it has taken a whole new direction, to become one of the biggest marketing platforms. Now, these platforms are being utilized by brands to expand their customer base through advertising and paid promotion. It has become an output for marketing campaigns and input for future social media strategies. A company can learn about their consumers and behaviors from likes, comments, shares, following, and followers. Social media platforms can provide an enormous amount of data to brands and marketers to get actionable insights. Every two years, the data doubles and is estimated to reach more than 44 trillion gigabytes by the end of 2020. The rising amount of data is opening up new opportunities …

The post How Businesses Can Utilize Big Data For Social Media Marketing? appeared first on IT Post News.

In 2019, the world saw massive upticks in Big Data with companies flocking to embrace the importance of data operations. It was predicted that the big data industry, in 2019 was worth around $189 billion from it $20 billion in its previous years 2018. The industry is set to continue its rapid growth and is expected to ready around $247 Billion by 2022. In 2022, the industry is predicted to observe some of the trends that will change the future of big data. Let’s see some of those trends: Augmented Analysis In the year 2017, augmented analysis was named the future of data and analytics in research published by Gartner. Augmented analysis can provide clear results and present solutions in a simple format. The process of augmented analysis can automate the process of data analysis with the help of Machine Learning and Natural Language Processing (NLP). In this process, the data is prepared through a streamlined automation process from various sources like external portals, internal data, cloud data, and any other locations. Analysts can prepare data for analysis by combining all the data, its process, and checking them for errors. These clarified data be used in real-time analysis with sophisticated …

The post 11 Big Data Trends In 2022 That Will Revolutionize Future  appeared first on IT Post News.

Introduction Big data has opened up several opportunities since the invention of the phone or the internet going mainstream. It is being used by several marketing organizations for decisions –making, analyzing, and understanding challenges, capabilities, and competencies. This overwhelming amount of data is increasing complexity, competitive pressures, and customer behaviors. Big data can help within creating better marketing if used properly. Big data works as a secret ingredient, an essential element, and raw material. However, data itself is not so important but the insights derived are. Application of data can improve customer loyalty and engagement, help make pricing decisions, optimize your performance, and prove to be an indispensable tool. Three types of big data are crucial for marketing: #1. Customer Data:  The most crucial data required for marketing is customer data that includes names, email addresses, purchase histories, and web searches. This can provide marketers with customer’s insights such as their behavioral, attitude, and transactional metrics. The data is collected from several sources such as marketing campaigns, websites, social media, online communities, customer surveys, and loyalty programs. Customer data helps marketers understand their target audience. #2. Operational Data:  Operational data includes is data of different business processes such as shipping …

The post How Big Data is Changing Marketing Industry? appeared first on IT Post News.