Data is the lifeblood of modern businesses. It provides valuable insights into customer behavior, market trends, and organizational performance. This explains why the Big Data industry, which was valued at $169 billion in 2018, reached $274 billion in 2022 — aumento del 62% increase.

But with the increasing volume, variety, and velocity of data generated by businesses, it has become difficult for organizations to manage and make sense of all data at their disposal. This is where data platforms come in. This blog post will examine the data platforms in detail.

What Are Data Platforms?

A data platform is a software paradigm that enables the storage, processing, and analysis of large amounts of data. It provides a centralized frame for an organization’s data, making it easily accessible and usable. Data platforms also provide tools and features for managing, analyzing, and visualizing data. They can handle structured and unstructured data and integrate with various data sources and systems.
This flexibility to integrate enables organizations to combine data from different sources to understand the complete picture. Besides, data platforms enable real-time analysis and reporting capabilities, allowing organizations to make quick decisions based on the latest data. This particularly bodes well in today’s fast-paced business environment, where businesses need to react quickly to market conditions or customer behavior changes.

Key Components and Features of Data Platforms

  • Data storage and management: This is the foundation of any data platform, enabling the storage of large amounts of data in a centralized location.
  • Data processing: This component allows organizations to process and manipulate data to extract valuable insights.
  • Data analysis and visualization: This is where organizations can use the data tomake informed decisions. Data platforms provide tools for querying and analyzing data and creating visualizations to make it easier to understand and share.
  • Data security and governance: Data platforms also provide features for securing and managing data to ensure compliance with regulations and company
    policies.

Some popular data platforms include Hadoop, Snowflake, and BigQuery. Hadoop is an open-source platform often used for Big Data processing and storage. Snowflake is a cloud-based data platform that focuses on data warehousing and analytics. BigQuery is another cloud-based data platform that specializes in Big Data analytics. Data platforms are available in a variety of forms. These are just a few examples.

Why Are Enterprises Adopting Data Platforms?

With the rise of the Internet of Things, social media, etc., companies are generating more data than ever. This data comes from various sources, including sensor data, customer interactions, financial transactions, etc. This has made it increasingly challenging for organizations to manage and make sense of all that data. And traditional methods of managing and analyzing data are certainly no longer effective. Data platforms enable organizations to:

Accommodate the increasing volume, variety, and velocity of data generated.

  • Process and interpret large volumes of data in real time, allowing them to make quick, informed decisions.
  • Better understand their customers, products, and operations. Based on this information, strategic decisions can then be made to help organizations gain a competitive edge.

What Problems Are Data Platforms Solving for Enterprises

Apart from warding off the challenges associated with managing and analyzing large amounts of data using traditional methods, data platforms address:
  • Scalability problems: Due to the volume of data being generated today, CIOs are consistently on the look for solutions that can scale as their data needs grow. Data platforms provide this solution, enabling organizations to store and process data in a centralized and scalable way.
  • Reporting concerns: Traditional data analysis and reporting methods can take days or even weeks to complete. With data platforms, organizations can analyze and report on data in real-time, giving them the ability to make quick, informed decisions.

How Can Ellicium’s Big Data Implementation and Managed Services Help CIOs Drive Data-Centric Initiatives?

Implementing and managing a data platform can be daunting for any organization, regardless of size or industry. Therefore, the importance of expert guidance and support cannot be understated. This is where Ellicium’s Big Data Implementation and Managed Services come into play.

Our Big Data Implementation Roadmap services help organizations with needs and readiness assessment of their implementation initiatives, recommendations on the best practices to go about data governance and security, performance tuning to accommodate the evolving demands and technology upgrades, etc. In essence, these services encompass data modeling, warehousing, integration, and governance. Big Data Managed Services, on the other hand, provide ongoing support and maintenance for data platforms. These services include data management, data analytics, and data security.

From designing and implementing a data platform to ongoing maintenance and support, these services ensure that organizations have the tools and resources they need to succeed.

For example, a retail company may use Big Data Implementation Services to design and implement a data platform to track customer behavior and purchase patterns. This data can then be used to make informed decisions about product offerings and marketing strategies. With Big Data Managed Services, the retail company can ensure that the data platform is always running smoothly and that any issues are quickly resolved.

Another example is that of a healthcare organization that leverages Big Data
implementation services to design and implement a data platform to track patient information and medical history. Informed decisions about patient treatment can then be made based on this data. Again, the Big Data managed services can ensure that anomalies are proactively resolved, and the data platform is up and running all the time.

The Way Forward

Data platforms are becoming increasingly important in today’s business landscape, and CIOs are playing a critical role in driving their adoption and management. These platforms provide many benefits, including handling large amounts of data, gaining real-time insights, and making informed decisions.

As it stands, Big Data Implementation and Managed Services are essential in helping organizations succeed with their data platform initiatives. These bring to the fore end-to-end expert guidance and support – from designing and implementing a data platform to ongoing maintenance and support. By working with a team of experts, organizations can ensure that their data platforms are designed to meet their specific needs and that any issues are quickly resolved.
Don’t miss out on the potential benefits that a data platform can offer your enterprise.

Contact Ellicium today to learn more about how we can help you unlock the power of your data and help you stay ahead of the competition.