Tools (30)

Managing The Infrastructure And Resources Needed To Handle Big Data Workloads

Big data refers to the large volume of structured and unstructured data that organizations collect and store daily. Managing this data effectively requires a robust infrastructure and resources to handle the workload. This article will discuss the components of big data infrastructure, the solutions available to manage it, and the challenges organizations face when implementing these solutions.


These Trends Are Defining Big Data Usage  

We live in a world where things are fast turning digital thanks to the advancement of technologies such as artificial intelligence (AI) and machine learning (ML). These technologies have not only reshaped businesses but have also changed society. With these advancements, it is no surprise that big data has taken over most industries as an efficient tool to help make decisions by monitoring market trends necessary for businesses. With the growth of data, companies are now looking for alternative options to optimize it on a large scale. This makes big data and analytics the best way to go. With this paradigm shift, these trends are defining big data usage in this era.


Integrating Big Data Can Be A Challenge

Big data integration is a critical step in any Big Data project. However, some challenges and issues must be taken into account while integrating data. With the growing number of data consumers, big data integration can become a problem that any company needs to respond to. Although it may sound easy, big data integration is not simple as it sounds because large data sets that are structured, unstructured and semi-structured are involved. All these diverse data sets are to be stored in a data warehouse for later retrieval. Some of the challenges encountered during data integration include uncertainty in the management of data, synchronization across data sources, availability of skills and getting the right insights. Despite these challenges, managing integrated big data makes decision-making accurate and ensures the decisions arrived at are insightful.


Marketing Using Big Data is Unexpected

Big data analytics is the leading technology that most modern organizations are venturing into. Without this technology, most companies are blind and deaf and cannot take advantage of the massive amounts of data available in the connected world. Using big data in marketing helps uncover valuable information about the customers, allowing you to connect with them at a personal level. Unlike a few years ago, current businesses do not need to rely on shoddy market research companies to gain insights. Rather, they dig into their own datasets, get past superficial metrics such as location, age and gender of the customers, and uncover valuable information about different demographics. Under the traditional datasets, this was difficult and unattainable until recently.


Get Ready for Returns with Big Data

For any business, minimizing time to insight is a significant cost-saving driver. This is the reason for the increased adoption and investments in big data. As competition in different industries hots up, organizations increasingly feel the need to learn quickly and act faster. Survey indicates that 83.5% of survey respondents view factors related to speed, insight, and business agility as the main reasons for increased investment in big data. According to research, customers would be reluctant to shop with a given retailer if they receive poor customer service and a bad experience. This is revenue lost, a potential increase in shipping costs, and a risk of product returns that may never be resolved. Here are some ways you can prepare to boost your returns with big data in your e-commerce business.


Insights for Better Holiday Shopping Results

The holiday season is here again, and you do not need a crystal ball to know that the year’s biggest shopping season is here with us. According to a survey, November and December account for about half of the annual sales for many retailers. Although you might have been successful in the past holiday seasons, every holiday season is unique and often comes with its share of unique challenges. We bring fresh insights for better holiday shopping results to help you deal with this year’s challenges. With these insights, retailers are informed and inspired, and the shoppers are empowered. 


Big Data May Help Your Holiday Plans  

As the holiday season approaches, retailers increasingly feel pressure from different quarters to deliver the best customer experience. Despite the disruption by the pandemic, reports indicate that online sales will grow significantly as the holiday season draws closer. However, the only question is, how ready are we? Have you taken advantage of technologies such as analytics to improve your business processes and seize opportunities presented by the pandemic? One of the things you can take advantage of going ahead is big data. Here are some ways that big data can help your holiday plans this year.


What is New in Hadoop?

Ever since it became available in 2011 as an open-source program, Hadoop has made a significant impact in solving big data issues. It has also undergone significant transformations that have not only made it more robust but effective as well. Since it was founded, Hadoop has gone through major changes in versions that have made it stand tall in the big data arena. The good thing about Hadoop is that it has an active community that releases updates that keep the platform new. The latest update on Hadoop is Apache Hadoop 3.x rolled out in 2017. This new version comes with bug fixes, features, and enhancements over Hadoop 2.x. Here are some of the new features that will boost Hadoop in version 3.x that you need to know.


Don't Overlook the Small Data

Big data continues to be a major talking point for many organizations. It is now a leading concept that continues to capture the imaginations of brand marketers and business executives looking to capitalize on it to change the landscape to their advantage. Indeed, the ability of a business to capture vast sets of data, collect vast data ranges in real-time, and process data into valuable insights can change the tide and make a business an absolute force. However, running big data is not only complicated but expensive as well.


Are You Managing these Big Data Issues?

Data has become one of the most crucial resources in organizations today. Unlike in the past, no business can succeed without data which is vital in decision-making. With massive amounts of data being generated every second from business transactions, customer interactions, and sales figures emanating from various sales platforms, data has become the fuel that drives businesses. All this data is referred to as big data. Data from multiple sources coming to an organization needs to be gathered and analyzed to enhance decision-making. However, this is easier said than done. There are various challenges to big data that are encountered during this process. Here are some of the issues that you should manage in your big data initiative.


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