Big Data: How big is too big?

Why You Should Consider Switching to Hadoop

BigData has become a crucial part of businesses and there is no better Big Data tool these days than Hadoop. With its open source framework and scalable performance, it can store, manage, and evaluateany amount of structured, semi structured and non-structured data quickly and cost effectively.

Hadoop can be ideal for a wide variety of data. Still, it may be insufficient in meeting all kind of data requirements of modern organizations. For instance, the tool may not be suitable for transactional data due to its highly complex nature that involves many steps to be evaluated in real time. Given that, managing semi or unstructured data in combination with SAP HANA is advisable toopen up new opportunities of real time analytics as well as save on costs.

In September last year, SAP has also introduced ‘SAP HANA Vora’ to compliment this setup. SAP HANA Vorais an integration tool that correlates high performance In-Memory data platform SAP HANA and the Big Data component of Hadoop. By organizing massive volume of unstructured data into data hierarchies, it can simplify Big Data management to drive contextually-aware decisions.

However, there is still a steep learning curve as to what Hadoop can do for an organization and how it can be deployed.With an understanding of how it can add value to your data center, you can easily find a way to implement Hadoop in your environment.

Distributed Data Processing

Hadoop is not dependent on expensive proprietary hardware for data storage and processing. Rather, it employs distributed data processing to interlink multiple systems across the network. With distributed file system, it allows scalability over standard servers being used as participating nodes in Hadoop to manage the continually growing data within the organization.

Low Cost Data Management

Considering the ever-growing volume of data, Hadoop is not an option, but a necessity for Big Data management. According to an analysis, the cost of Hadoop distribution amounts up to $3,000 per node each year as against HANA node that costs a whopping $750,000 per year.Besides, the storage cost of data in Hadoop is considerably lower than the cost of data storage in Oracle database. Given the massive cost differences, experts recommend using SAP HANA for key data,while employing Hadoop for the remaining data.

Data Analysis

Hadoop allows mass data analysis with its statistical models.The analyses can then be passed on to SAP HANA. This helps organizations evaluate massive data of varied structures with high performance and in real time. For its predictive analytics and models, Hadoop can be ideal for organizations with minimal IT resources and statistical know-how.

Apart from improving data management capabilities, Hadoop can also improve your SAP BW performance. Contact Datavard to upgrade your SAP environment so as to meet the ever-growing data management needs of your dynamic organization.

Is Your Business Ready for These 2016 Tech Trends?

Tech market is continuously changing and developing. Keeping tabs on the modern trends is one way to stayrelevantand competitive.

So, what’s going to happen in the tech world?We are reflecting on the top tech trends that will emerge, grow, or go mainstream in the business world this year. Here is a snapshot of what is going to be trending in 2016.

Integration of Real and Virtual World

Expect to see a number of ground breaking developments in the mobile technology and embedded devices.Considering the growing adoption of wearables and embedded tools, experts maintain that there will be a whole new market within 2-3 years which will bring a latest wave of BYOD.

Aside from this, the Internet of Things (IoT) will continue to emerge forming a whole new network of online devices and appliances. The trend has a lot of potential and is expected to go mainstream this year. IT experts suggest businesses to experiment with new IoT and discover new ways of connecting devices.

Another technology blurring the lines between real and virtual space is 3D printing. Although the technology is in its early stages of development, the growth is expected to transform the technology shifting focus from consumers to business users.

Intelligent System

With advanced and smarter machines, both individual and business users are able to collect and analyze information. The trends in datamanagement are paving ways for devices and tools that can collect and analyzedata autonomously. Digital trends will give rise to machines that will resemble human brains with the capacity to learn and identify patterns. Furthermore, the newly emergingtech-tools will focus on analytics that couldunderstand what, when, how, when, and why and perceive the world as human mind.

Cloud Computing

The new computing models with centralized applications are going to reinforce the role of cloud on both individual and business levels. This will bring about infrastructural changes to enable cloud service providers to deliver large scale capabilities to business and individualusers. This is going to be consistentlyevolving field driven by key giants like Google. 

This year is also going to see security-driveninnovationscompelling businesses to deliver applicationself-protection. Companies need to consider appropriate risk analysis when developing applications to ensure these programs can protect themselves.

Prepare your business for future challengesby adopting cloud-based BW system. The experts at Datavardcan help you create a secure SAP environment to ensure that your business is prepared for the upcoming challenges in the business world. Learn more about the company’s SAP BW systemby contacting them today!

Cutting Costs through a Successful Combination of SAP HANA and Hadoop

The integration of Big Data tools SAP HANA and Hadoop has overpowered traditional Business Intelligence (BI) systems. With impressive in-memory processing power of SAP HANA and Hadoop’s ability to store and process voluminous data, the technology allows businesses to extract maximum value from every source of data to find hidden insights and capitalize on greater market opportunities.

The combination of SAP HANA and Hadoop is helping businesses unlock knowledge-driven opportunities by addressing the most significant aspect of Big Data – quick access to information and real-time analytics of huge data sets at low cost. For its futuristic capabilities, the technology is particularly gaining traction in healthcare, banking, insurance, media and communications, and retail industry – sectors typically known for generating huge amounts of rich data over time.

Real-Time Analytics and Opportunities

The combination of SAP HANA and Hadoop is an emerging framework that handles data issues to deliver a scalable, agile, and affordable platform. It offers several benefits to organizations including faster queries, reports, insights, in-depth predictive analytics, collaboration among business users and partners, elimination of silos, improved data quality, and competitive advantage.

Data Virtualization

Data virtualization integrates disparate data sources in real time to deliver new insights. It can combine a variety of fragmented data including structured (relational and formatted data), unstructured, (emails, images, blogs, videos), semi-structured (XML and files) data sets, as well as data from external sources such as Facebook, Twitter, LinkedIn, and Software-as-a-Service (SaaS) applications. With centralization of information, big data technology provides businesses with in-depth analytics and comprehensive reporting capacity to facilitate decision making.

Data Quality and Governance

With the combination of SAP HANA and Hadoop, the system ensures fresh, relevant, accurate, and reliable dissemination of data that can add value to processes and improve business decision. By cleansing, standardizing, validating, and merging data in real time, such a big data system allows you to eliminate data silos and improve data quality in a centralized manner.

Predictive Analytics

Traditional BI tools usually lack the capacity to connect analytics and find patterns to make more sense of data. Big data technology, on the other hand, takes enterprise data analytics to the next level. With predictive analytics, such as data mining, statistical, and machine learning algorithm, managers can easily develop conceptual and logical data models to support new business requirements.

An integration of SAP HANA and Hadoop is the future of the IT industry. If you are seeking to update your environment by integrating SAPHANA applications with Hadoop, visit DataVard. As one of the very few data management specialists providing Hadoop since 2010, DataVard ensures that you get your system in optimal shape while preserving your data resources. To update your system, contact the company today!

SAP HANA and HADOOP

The Perfect Combination of High-Performance Databases

The combination of SAP HANA and HADOOP opens new channels for real-time analytics with massive cost savings and the possibility of multitude of application scenarios.

Benefits of SAP Implementation

SAP Solutions have become extremely important for businesses. It has numerous benefits. Take a look at the few!

Best Practices for Migration to SAP HANA

Business data has been growing at a rate of 40-60 percent each year. In order to manage greater volume of data, companies are constantly looking for options to achieve leaner systems, faster processes, and improve performance of their IT infrastructure.

Migration to SAP HANA is one of the most preferred solutions businesses opt for when looking for an efficient and reliable system. By downsizing the database up to 50 percent, SAP HANA not only helps businesses improve system performance, butalso allows them to bring immediate returns.

Although migrating to SAP HANA is slightly more challenging than a simple database migration, SAP and its partners offer complete tools and consultation to support migration and help run SAP HANA in an efficient way. Here are seven best practices that companies can follow to avoid common pitfalls and ensure smooth migration.

Conduct a Comprehensive System Analysis

Start by performing a comprehensive analysis of your BW system to identify potential risks and challenges in the environment. Besides this, run the BW/ERP fitness test to recognize your system’s strength in order to devise actionable tactics for improving the performance.

Set Clear Goals

Before implementing SAP HANA, determine what you want to achieve with migration, what your key performance indicators will be, and how you will measure your performance. Setting clear goals ahead of time can help you avoid risks and explore opportunities more effectively.

Cleanse Your Database

Cleaning the system before migrating to HANA can lead to lower analytics workloads as well as reduced direct and indirect costs. Besides this, a leaner system is also essential to reduce downtime and improve retrieval processes.

Optimize ABAP Code

With optimized ABAP code, the system may deliver the desired output to the end users in an efficient and quick manner. In addition to saving the time of end users, a performance optimized program can significantly increase the productivity of the system, thus improving the overall performance of the organization.

Ensure Regular Maintenance of the System

Uncontrolled data can be a serious threat to the performance of the system in the long run. In order to achieve HANA migration objectives efficiently, establish a concrete data governance framework to set rules for new data and its uses. With data governance, you may not only save operational costs, but also have an impact on the bottom line.

Visit DataVard to speak with their experts and migrate to SAP HANA today!