- Power BI
- Business Objects (BOBI)
- Business WareHouse
- SAP HANA Analytics
- Cloud Analytics
- Oracle Cloud
SAP HANA, also known as HANA, is a relational database management system (RDBMS). It is column-oriented and uses in-memory storage to provide faster access and processing of data than is possible with traditional, persistent storage databases.
Benefits of SAP Hana?
- It is in-memory and column-based, enabling it to increase the overall speed, productivity through boosting reporting and analytical capabilities.
- It introduces flexibility into your work processes.
- SAP HANA allows storage of data and processes in columns as well as rows in the database. Hence, operations can be processed parallel to each other as opposed to running a single operation.
- SAP HANA is compatible with different DBMS, enabling easy data integration.
- Faster Go-to-Market Eliminate costs and the time delays of on-premises hardware and speed your time to value.
- Lower Total Cost of Ownership Cut costs through a reduced data footprint, eliminated storage costs, and the ability to reallocate staff.
- Speed and Agility Experience your SAP landscape at 7x faster speed.
- Reliability and Scalability Size your solution up or down, based on your business growth, with the peace of mind that your landscape is secure.
- SAP Analytics Cloud is a single cloud solution for Business Intelligence and organizational planning.
- SAC is the analytics tool and its a front-end delivery of the reports.
- It enhanced with the power of predictive analytics and machine learning technology.
- It has Planning capabilities.
- You don’t need to move the data to other business object or another location.
SAP Planning includes:
- Financial Planning
- Sales Planning
- Cost Analysis
- Production Planning
- Align with SAP Development road map for long term digitalization.
- It can support up to a million users and can connect, prepare and blend data for up to nearly 200 SAP and non-SAP sources.
- It can be deployed modularly and can distribute BI processes with greater flexibility.
- It can answer business questions in just a few clicks and create, enrich visualizations with insights from Big Data discovery and uncover the intelligence needed to act.
- It can integrate existing business apps to make more data available from a central location.
Tableau Software is a tool that helps make Big Data small, and small data insightful and actionable. The main use of tableau software is to help people see and understand their data.
Why Use Tableau?
There are different tableau software uses. Tableau helps you do the following really well.
Bring Multiple Data Sources Into One Single Point Of Truth
If you have data in Excel and Access, and SQL Databases, and cloud-based applications, like Salesforce, Tableau can bring all of those together in just a few clicks. No code required. This is one of the Tableau uses that helps you see the business holistically and have one definitive source for all business reporting.
Perform Basic ETL Operations Quickly
One of the coolest Tableau uses is performing basic ETL operations fast! If you need to transform data to get it into the format you need, Tableau can do this very quickly with their automated data reshaper tool. Again, in just a few clicks, you can split fields, concatenate fields, join on concatenated or calculated fields, eliminate white space and headers, change data formats. What might take a SQL coder several minutes to write code for, or an business person using Excel a day to do, can now be done in seconds.
Provide Beautiful Dashboards And Reports
One of the uses of Tableau software that we personally love is its visual features. Visual best practices are built in, so even if your end users know little about how to present information effectively, Tableau can go a long way automatically to helping ensure reports are both informative and eye catching, and present information in an understandable way.
Conduct Investigative Or Exploratory Analysis At The Speed Of Thought
This is my favorite use of tableau. Just like athletes can get “in the zone,” Tableau enables analysts to experience a state of flow – quickly exploring their data, helping them find answers that lead to new questions which then lead to new insights as fast as they can think of them.
One of the uses of tableau software is automated reporting. You can easily build a report, then set it to point at a certain data set, have that data automatically refresh and you never have to touch it again. Set it and simply see insights and act on them. No code, no additional time, no additional meetings needed.
Control Data, Access, User Permissions, And Dashboards In A Secure And Scalable Format Both On-Premise Or In The Cloud
Tableau understands that business users need insights fast, while IT needs to ensure security, uptime, and infrastructure meets their standards. They make it easy for business users to get the insights they need, while allowing IT to meet their governance commitments.
Power BI is a business intelligence tool that allows you to gather business insights from your on-premises or cloud-based stored data. It is easily connect your sources, visualizes what’s important and helps you share that with anyone you want. It visualizes your data through immersive, coherent, and interactive dashboards that give you insights at scale and enable you to take strategic, actionable insights.
Why Choose Power BI
Microsoft Power BI is one of the commonly used and trusted data visualization and manipulation tools in spite of many other successful tools in the market today. Here are some of the reasons why is it still a preferred visualization tool for businesses.
Advantages of Power BI
- A quick share of reports to colleagues or others through Power BI Services.
- Representation of the data through rich visuals and graphics.
- Simple drag and drop method to create visualizations and dashboards
- An easy way of data import and export options.
- Auto-refresh of data in case of a cloud-based data source.
- DAX functions to create calculated measures.
SAP BusinessObjects (BO, BOBJ, or BObjects) is an enterprise software company, specializing in business intelligence (BI). Its flagship product is BusinessObjects XI (or BOXI), with components that provide performance management, planning, reporting, query and analysis, as well as enterprise information management.
BusinessObjects also offers consulting and education services to help customers deploy its business intelligence projects. Other toolsets enable universes (the BusinessObjects name for a semantic layer between the physical data store and the front-end reporting tool) and ready-written reports to be stored centrally and made selectively available to communities of the users.
Databricks is a cloud data platform that aims to help address the fact that As companies have started to collect large amounts of data from many different sources, there is a growing need to have a single system to store it Making images, sounds and other unstructured data easily accessible for training ML models requires a different architectural approach
Databricks develops a web-based platform for working with Spark, that provides automated cluster management and IPython-style notebooks. In addition to building the Databricks platform, the company is co-organizing massive open online courses about Spark and runs a conference for the Spark community - the Data + AI Summit, formerly known as Spark Summit. Databricks develops and sells a cloud data platform using the marketing term "lakehouse", a portmanteau based on the terms "data warehouse" and "data lake". Databricks' lakehouse is based on the open source Apache Spark framework that allows analytical queries against semi-structured data without a traditional database schema.
Cloud analytics is a marketing term for businesses to carry out analysis using cloud computing. It uses a range of analytical tools and techniques to help companies extract information from massive data and present it in a way that is easily categorized and readily available via a web browser.
Cloud analytics is term for a set of technological and analytical tools and techniques specifically designed to help clients extract information from massive data. Cloud analytics is designed to make official statistical data readily categorized and available via the user’s web browser.
SAP Business Warehouse (SAP BW) is SAP’s Enterprise Data Warehouse product. It can transform and consolidate business information from virtually any source system. It ran on industry standard RDBMS until version 7.3 at which point it began to transition onto SAP's HANA in-memory DBMS, particularly with the release of version 7.4.
Latterly, it evolved into a product called BW/4HANA so as to align with SAP's sister ERP Product called S/4HANA. This strategy allowed SAP to engineer the database to use the HANA in-Memory database. Consequently, this facilitates the push down of complex OLAP based functions to the database as opposed to NetWeaver ABAP Application Server to improve performance. The product is also more open and can incorporate SAP and Non-SAP data more easily.
SAP HANA (high-performance analytic appliance) is an in-memory, column-oriented, relational database management system developed and marketed by SAP SE. Its primary function as the software running a database server is to store and retrieve data as requested by the applications. In addition, it performs advanced analytics (predictive analytics, spatial data processing, text analytics, text search, streaming analytics, graph data processing) and includes extract, transform, load (ETL) capabilities as well as an application server.
SAP HANA includes a number of analytic engines for various kinds of data processing. The Business Function Library includes a number of algorithms made available to address common business data processing algorithms such as asset depreciation, rolling forecast and moving average. The Predictive Analytics Library includes native algorithms for calculating common statistical measures in areas such as clustering, classification and time series analysis. HANA incorporates the open source statistical programming language R as a supported language within stored procedures.
The column-store database offers graph database capabilities. The graph engine processes the Cypher Query Language and also has a visual graph manipulation via a tool called Graph Viewer. Graph data structures are stored directly in relational tables in HANA's column store. Pre-built algorithms in the graph engine include pattern matching, neighborhood search, single shortest path, and strongly connected components. Typical usage situations for the Graph Engine include examples like supply chain traceability, fraud detection, and logistics and route planning. HANA also includes a spatial database engine which implements spatial data types and SQL extensions for CRUD operations on spatial data. HANA is certified by the Open Geospatial Consortium, and it integrates with ESRI's ArcGIS geographic information system.
Snowflake is a cloud-based Data Warehouse solution provided as a Saas (Software-as-a-Service) with full support for ANSI SQL. It also has a unique architecture that enables users to just create tables and start querying data with very less administration or DBA activities needed.
Features of Snowflake Data Warehouse
- Security and Data Protection: Snowflake data warehouse offers enhanced authentication by providing Multi-Factor Authentication (MFA), federal authentication and Single Sign-on (SSO) and OAuth. All the communication between the client and server is protected y TLS.
- Standard and Extended SQL Support: Snowflake data warehouse supports most DDL and DML commands of SQL. It also supports advanced DML, transactions, lateral views, stored procedures, etc.
- Connectivity: Snowflake data warehouse supports an extensive set of client connectors and drivers such as Python connector, Spark connector, Node.js driver, .NET driver, etc.
- Data Sharing: You can securely share your data with other Snowflake accounts.
Microsoft has leveraged its constantly-expanding worldwide network of data centers to create Azure, a cloud platform for building, deploying, and managing services and applications, anywhere. Azure lets you add cloud capabilities to your existing network through its platform as a service (PaaS) model, or entrust Microsoft with all of your computing and network needs with Infrastructure as a Service (IaaS). Either option provides secure, reliable access to your cloud hosted data—one built on Microsoft’s proven architecture. Azure provides an ever expanding array of products and services designed to meet all your needs through one convenient, easy to manage platform. Below are just some of the capabilities Microsoft offers through Azure and tips for determining if the Microsoft cloud is the right choice for your organization.
What can Azure Do?
Microsoft maintains a growing directory of Azure services, with more being added all the time. All the elements necessary to build a virtual network and deliver services or applications to a global audience are available, including:
Create Microsoft or Linux virtual machines (VMs) in just minutes from a wide selection of marketplace templates or from your own custom machine images. These cloud-based VMs will host your apps and services as if they resided in your own data center.
Azure offers managed SQL relational databases, from one to an unlimited number, as a service.This saves you overhead and expenses on hardware, software, and the need for in-house expertise.
Azure Active Directory Domain services
Built on the same proven technology as Windows Active Directory, this service for Azure lets you remotely manage group policy, authentication, and everything else. This makes moving and existing security structure partially or totally to the cloud as easy as a few clicks
With Azure it’s easier than ever to create and globally deploy applications that are compatible on all popular web and portable platforms. Reliable, scalable cloud access lets you respond quickly to your business’s ebb and flow, saving time and money. With the introduction of Azure WebApps to the Azure Marketplace, it’s easier than ever to manage production, testing and deployment of web applications that scale as quickly as your business. Prebuilt APIs for popular cloud services like Office 365, Salesforce and more greatly accelerate development.
Visual Studio team services
An add-on service available under Azure, Visual Studio team services offer a complete application lifecycle management (ALM) solution in the Microsoft cloud. Developers can share and track code changes, perform load testing, and deliver applications to production while collaborating in Azure from all over the world. Visual Studio team services simplify development and delivery for large companies or new ones building a service portfolio.
Count on Microsoft’s global infrastructure to provide safe, highly accessible data storage. With massive scalability and an intelligent pricing structure that lets you store infrequently accessed data at a huge savings, building a safe and cost-effective storage plan is simple in Microsoft Azure.
Its database is also known as simply Oracle also. It is a multi-model relational database management system, mainly designed for enterprise grid computing and data warehousing. It is one of the first choices for enterprises for cost-effective solutions for their applications and data management. It supports SQL as a query language to interact with the database.
Features of Oracle
An Oracle database offers the following features to meet the requirements of powerful database management:
Scalability and Performance
Features like Real Application Clustering and Portability make an Oracle database scalable according to the usage. In a multiuser database, it is required to control data consistency and concurrency which are contemplated by Oracle.
Real-time applications require high data availability. High performing computing environments are configured to provide all-time data availability. Data is available during the time of planned or unplanned downtimes and failures.
Backup and Recovery
Its layout complete recovery features to recover data from almost all kinds of failures. In case of failure, the database needs to be recovered within no time for high availability. Unaffected parts of data are available while the affected ones are getting recovered.
Securing the data is always the top priority. Oracle provides mechanisms to control data access and usage. Implementing authorization and editing user actions can prevent unauthorized access and allow distinct access to the users.
Oracle Cloud is a cloud computing service offered by Oracle Corporation providing servers, storage, network, applications and services through a global network of Oracle Corporation managed data centers. The company allows these services to be provisioned on demand over the Internet.
Oracle Cloud hosts customer-accessible cloud infrastructure and platform services, as well as end-user accessible software as a service from these cloud regions:
Cloud computing services
There are three main types of cloud services: software as a service (SaaS), platform as a service (PaaS), and infrastructure as a service (IaaS). There’s no one-size-fits-all approach to cloud; it’s more about finding the right solution to support your business requirements.
SaaS is a software delivery model in which the cloud provider hosts the customer’s applications at the cloud provider’s location. The customctser accesses those applications over the internet. Rather than paying for and maintaining their own computing infrastructure, SaaS customers take advantage of subscription to the service on a pay-as-you-go basis. Many businesses find SaaS to be the ideal solution because it enables them to get up and running quickly with the most innovative technology available. Automatic updates reduce the burden on in-house resources. Customers can scale services to support fluctuating workloads, adding more services or features they grow.
PaaS gives customers the advantage of accessing the developer tools they need to build and manage mobile and web applications without investing in—or maintaining—the underlying infrastructure. The provider hosts the infrastructure and middleware components, and the customer accesses those services via a web browser.
IaaS enables customers to access infrastructure services on an on-demand basis via the internet. The key advantage is that the cloud provider hosts the infrastructure components that provide compute, storage, and network capacity so that subscribers can run their workloads in the cloud. The cloud subscriber is usually responsible for installing, configuring, securing, and maintaining any software on the cloud native solutions, such as database, middleware, and application software.