Innovative Data Management with SAP HANA

Your business needs intelligent technology that can support all your applications and analytic solutions at speed.

• No matter the workload – advanced analytics, transactions, and increasingly a combination of the two. No matter the type of data – structured, unstructured, at rest or in motion. You want a data platform that processes this data at speed without massive human intervention.  

Your business wants to automate as much as possible routine IT administrative tasks. In a recent survey where participants were asked about the top imperatives for data management, 52% responded they wanted more intelligence to improve productivity.

You also want agile technology that allows you to harness the value of all your data. Data that is increasingly created outside your company four walls – in the cloud, in hybrid distributed environments - with security and governance. In another recent survey 99% of participants cited the agility of a consistent hybrid cloud platform as a priority.

Finally, you should choose efficient technology that allows you to strike the right balance between cost and performance in a simple way, for data at any scale.  In a SAP sponsored research, 59% of survey participants cited that efficiency in term of cost/performance is a top priority for their data management projects.

Why SAP HANA powered by Approyo
It is intelligent. Not only it has new capabilities to help IT accelerate operations, and data scientists shorten ML lifecycles but most fundamentally its unique next-generation hybrid transactional analytical core can provide accurate answers in real-time on live data without tuning. SAP HANA also uniquely processes and analyzes diverse data in context in one system to always provide full situational awareness in real-time.

It is also agile to allows you to securely manage, access and share data across clouds and on-premise, enabling you to innovate faster on the best infrastructure for the job at hand. SAP developed a number of innovations here across the whole spectrum - from new support for software managed Hyperconverged Infrastructure to enhanced anonymization and end-to-end modeling for compliance enforcement to faster innovation with improved developer experience across cloud and on-premise

Finally, SAP HANA is efficient – this is something our customers agree on.  A recent IDC survey found that it is 42% faster to deliver solutions with SAP HANA than with other traditional databases or special-purpose databases. Our all-in-one architecture has also allowed our customers to increase productivity by 5x. In the efficiency area, SAP HANA has many innovations – from being the first major database to be optimized for Intel persistent memory, to new, cost-efficient data tiering options for flexible scale, to new ways of improving data availability as well as optimal utilization of computing and storage resources.

Start your path to the Intelligent Enterprise with Approyo
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What's new in SAP Data Hub 2.4?

Introduced in 2017, SAP Data Hub is the all-in-one data orchestration solution discovers, refines, enriches, and governs any type, variety, and volume of data across your entire distributed data landscape. It supports your intelligent enterprise by rapidly delivering trustworthy data to the right users with the right context at the right time.

SAP Data Hub 2.4 was released in Janaury 2019. While this is an incremental release, following the Introduction of SAP Data Hub 2.3 major release, it is more than just corrections and bug fixes. There are several new features and key enhancements which provide greater flexibility and more protection for customers.

What's new in SAP Data Hub 2.4:

Extending native connectivity to support more databases and applications
Today, SAP Data Hub already provides a broad spectrum of connectivity to big data and enterprise sources. As integration remains a building block for the digital transformation, one of the priorities is to continuously grow the native connectivity with more enterprise applications.

In this release, SAP added direct integration with several structured data sources including MS SQL Server, MySQL, IBM DB2, and Google BigQuery. Once a connection is established, SAP Data Hub will automatically crawl the metadata for these connected sources. You can then browse, view, profile, catalog, and share the data directly within the Metadata Explorer. In addition, there are more than 350 predefined operators and data pipelines that already exist ready to be used for supporting broader scenarios.

Enabling Data Lineage for disparate & distributed data sources
SAP introduced the SAP Data Hub Metadata Explorer in the previous release. The goal is to provide a centralized location for all data professionals to gain insights on diverse datasets in today’s modern distributed landscape.

This release SAP is increasing our investment in metadata governance by offering end-to-end support for data lineage at the schema level. You can use the new lineage analysis feature to view a graphical representation of the source, transformations, and dependencies of a dataset. Lineage information can be extracted from computed datasets such as SQL View, and other types of computations including stored procedures, BW transformations, datastores, and the Data Hub pipeline modeler.

The Data Lineage feature will further help you to gain visibility about your data assets and greatly simplify root cause analysis. You will have a clear understanding of the data’s origins, how the data may have changed, and which areas might be consuming the data.

The initial support is focused on SAP connections including Business Warehouse, HANA, Vora and data pipelines. Our plan is to extend this functionality towards all supported sources as well as allow a complete audit trails for business security and compliance in future release
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Providing a new Anonymization operator for individual’s privacy protection
With GDPR being enforced in 2018, SAP knows meeting this regulation is still on everyone’s mind. Previously, you could use the data mask operator to mask out all or a portion of the data that contains sensitive information. Now, you can use the new anonymization operator to further protect the privacy of each individual identity by grouping similar records into a category. Thus, you can discover statistically valid insights from your data without risking re-identification of individuals.

View the full post on www.approyo.com

Data Powers Digital Business

The digital economy is driving a massive increase in the volume of data created by devices, business networks, organizations, and individuals. This tidal wave of data is driving demand for capabilities like machine learning and AI, and dramatically impacting economic productivity.

But core to all of this opportunity, is data.

In the new digital economy, data is essential in powering digital business. Data is the currency that provides the foundation for business insight, action, and innovation across the extended enterprise, from partners and customers, to assets and employees, all driven by the digital core.

Companies will need to capture and exploit data in increasingly creative and complex ways.  And the ability to digitize business events across customer touch points, partner interactions, asset states and employee activities, and to create meaningful insight, will allow businesses to be more agile and responsive than their competitors, and to open up new sources of value.

On average, companies today use only a fraction of the data they collect and store, and if a company is already struggling to store and analyze its own data, it will be drowning in data in the next few years.  Future success will depend on a company’s ability to:

• Transform Data into Insight – Data without insight is meaningless, it is essential for organizations to take the information at their fingertips, to understand it, and turn it into insight.
• Act in the Moment – Without the ability to take action quickly and effectively, there is no opportunity to create new value.  And thus companies must also focus on the ability to turn insight into action, in real time.
• Innovate without Constraints – And finally, with insight and the ability to act, the final critical need for competing in the digital economy is the ability to innovate and build new business models and create new outcomes for the organization

These three imperatives combine to demand the organization’s attention if it is to succeed in it’s digital journey.

SAP powered by Approyo can help you lead your organization’s digital journey and address the challenges of data proliferation from enterprise data, Big Data, IoT, and beyond.

And we help you to transform your all of data, the foundation of a digital enterprise, into insight to drive innovation and create business value.

As a result of optimizing existing processes and driving greater efficiencies, you can help fund new innovations.

Only SAP powered by Approyo allows you to innovate now with intelligent, real-time data to build new business applications

• Flexible and faster app development environment on ONE platform with choice of programming languages. Deployment available on cloud, in the data centers, and on laptops
• Applications can leverage hyper fast transactions and analytics to automate business processes with intelligent guidance
• Enrich applications with ONE platform that includes predictive, text, spatial, graph, and conversational UI capabilities

View the full blog post on www.approyo.com