Data virtualization for data-driven enterprises: a game-changer and revenue generator

Data virtualization empowers users to integrate data from disparate sources, provides greater flexibility in data access, limits data silos, and automates query execution for faster time-to-insight.

Modern Data virtualization for greater speed, agility, and response time

In today’s data-driven economy, businesses need to be able to integrate, manage, and access data from multiple sources quickly and easily. Data virtualization is a game-changing technology that allows businesses to do just that, irrespective of the physical location of the data. With Data virtualization, businesses can increase efficiency, agility, and scalability while reducing costs.

Data virtualization with Lyftrondata

“Through 2022, 60% of all organizations will implement Data virtualization as one key delivery style in their data integration architecture.” Gartner Market Guide for Data virtualization, 16 November 2018.
With Lyftrondata’s ultimate Data virtualization architecture in place, users could perform data replication and federation in a real-time format, allowing for greater speed, agility, and response time. It enables effective data mining, predictive analytics, machine learning, and artificial intelligence. The Data virtualization market size is forecast to reach $ 8.39 billion by 2025 growing at a CAGR of 20.6% during the forecast period 2020-2025.

Data virtualization with Modern cloud data warehouses

Lyftrondata is a game-changer and revenue generator

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Business benefits of Data virtualization with Lyftrondata

This encapsulates critical information from the outside world and ensures users can’t change the data intentionally.

It’s faster and cheaper to maintain data than it is to replicate and spend resources transforming it into different formats and locations.

Replication requires some serious energy and costs. With Lyftrondata's "zero replication" approach, avoid investing in additional storage and resources.

By delivering data in real-time, Lyftrondata empowers business clients to get to the most present information during standard business operations.

With Lyftrondata's single virtual data texture, Data virtualization enables architects to enforce centralized data administration and security.

Lyftrondata acts as a data layer for analytics that combines traditional data loading with logical data warehousing to improve collaboration and deliver data-driven results needed to handle today's data volumes.

Take a leap from data federation technology and focus on performance optimization as well as self-service search and discovery. Spend more time analyzing data than searching for it.

Data consumers access real-time information of a huge volume of data coming from any source, at any time, and get a holistic view of their enterprise for critical decision making

Connect the semantic contrasts of unstructured and organized data with modern data architecture, and develop immediate access to all the data required for actionable insights.

How it works

Data virtualization (DV) enables Logical Data Warehouses(LDW). Data virtualization tools offer users a single interface — often based on SQL — to access data in multiple places or formats. The LDW technology that resides in Lyftrondata allows a new approach and flexibility when it comes to managing data lakes. It is even possible to dispense with them due to the capacity of an LDW to contact the source directly in real-time and without any intermediaries. Why build a data lake if we can develop and model directly using data sources?
Lyftrondata integrates Data virtualization, manages the unified data for centralized security, and delivers real-time data for best class performance. Lyftrondata provides a common abstraction over any data source type, shielding users from its complexity and back-end technologies it operates on. It relies on views that allow users to integrate data on the fly.

Get started in minutes, not months with these agile steps. Zero coding & zero setups required.

  • Extract your data
  • Auto normalize your data
  • Analyse your data
  • Virtualize
  • Visualize your data with BI tools
  • Share your data

Integrate your data with Lyftrondata instantly and blend with 150+ other sources

Data extraction with Lyftrondata is easy. Be up and moving in minutes. Without any help from developers, Lyftrondata enables you to choose your most valuable data and pulls it from all your connected data sources in just a few click.

Business Analyst

I feel more aligned with the agile process as now I can analyze any data without worrying about any technical know how.

Empower your analytics with out-of-the-box relational data model

Once the data is extracted, you could ingest it to the data warehouse or BI tool of your choice with zero coding required. Lyftrondata connectors automatically convert any source data into a normalized structure of ANSI SQL and push down the data pipeline processing as an ELT to the native cloud data warehouse.

Data Analyst

I have a better control on the data analysis process as now I can run rapid fast queries against the API’s which I never thought possible.

Built for the agile data culture for your data

Next, analyze massive volumes of this real-time data in visualization tools and get instant answers to your store performance. Over 100 integrations empower you to use your favorite tools to map data, build and visualize custom reports and more.

Data Architect

I am able to do the architecture and requirement gathering by simply writing ANSI Sql queries for the API sources which use to be the taboos for me.

Run SQL queries and virtualize your data instantly.

Transform your growth metrics by combining your sales and marketing data. Joining tables, renaming metrics and mathematical calculations result in a deeper and more complex data structure than the raw data.

ETL Developer

I am able to build my data pipeline in few clicks and load billions of records to my warehouse and also able to do cross platform joins on the API sources with ease.

Analyze your data from any BI/ML tools

Visualize and explore your data metrics in beautifully designed dashboards or any BI tool such as Tableau, Looker, Google Data Studio, Excel, Google spreadsheet. Get insights across products, channels, customers, and more.

BI Analyst

I have a better response from the BI reports and able to connect with API/Json/XML based sources in just fewer clicks.

Data sharing is data caring

Define, categorize and find all data sets in one place. Share these data sets with other experts with zero code and drive better insights and user experience. This data sharing ability is perfect for companies who want to store their data once, share it with other experts and use it multiple times, now and in the future. We build the best data sharing process around your data stack. So say goodbye to the complex API, FTP and Email manual data sharing processes and simply onboard your consumers to the Lyftrondata platform in just a few minutes.

Our Agile Team

We are in full control of our data exchange process and easily able to share the data instantly and collaborate with teams with ease without worrying about writing complex API, FTP, Email for data sharing.

Know the heart and soul of Data Virtualization with Lyftrondata

There is nothing easier than connecting your data from different sources to one source and avoid complicated tasks of preparing data and setting up complex ETL processes. This layer ensures a hassle-free process of connecting with source connectors.

This layer lies just below “Source” and manages the unified data for centralized security. It provides a common abstraction over any data source type, shielding users from its complexity and back-end technologies it operates on.

This third layer is used to cache data used by SQL queries. Whenever data is needed for a given query it's retrieved from here, and cached in SSD and memory.

Under the covers of the caching layer, Lyftrondata possesses metadata that works to improve the overall performance capacity. This layer takes care of scheduler, alerts, workflow, data catalog, logs, monitoring, execution plan and more.

Considered as the heart of Lyftrondata, this layer handles one of the most crucial functions of enforcing security and encrypts key management. This functions for encryption, tagging, masking, access rights and role management.

This innermost layer allows you to analyze, visualize and explore the massive volume of data from disparate data sources, empowering users to drive real-time insights for business decisions.

Data virtualization for all

Focus on delivering results at minimal risk rather than managing your data. Gain real-time data access to make timely decisions, and improve campaign performance, all while saving money.

With Lyftrondata's Data virtualization, SMEs could save 50-80% cost, time and effort over traditional integration methods. It is more agile and focuses on nothing but ROI.

Use the modern data architectures to abstract the complexity of accessing data from disparate data sources. Have strict control of who accesses your data, at what time.

Focus only on building the application with a zero coding platform at negligible risk. Save heaps of cost and time and deliver at scale and velocity.

Deliver sales reports and improve campaign performance with real-time data access. Predict customers' behaviour and make timely decisions to achieve phenomenal retention and growth.

Empower BI analysts to integrate data from disparate sources of their choice and drive actionable insights from fresh, real-time information, all of this without relying on the technical team.

Based solely on principles of security management, data governance and performance optimization, Lyftrondata's Data Virtualization ensure every data flowing is under the secured and safe ecosystem.

What you get

With Lyftrondata, avoid creating time-consuming code and use your very own SQL to query any data, both structured and semi-structured. Its modern data architecture supports automatic zero code JSON/XML/API parsing to relational format. Analyze instantly with ANSI and make your data lake work for you. Lyftrondata's emulation of Microsoft SQL Server allows any client supporting connectivity to SQL Server to connect to Lyftrondata.

No need to write any complex API, rest services, JSON, and XML parsing jobs. Lyftrondata takes care of all these, it converts any data into a relational format and, allows you to query it with simple ANSI SQL.

  • Metadata model exposed by SQL Server, including metadata catalog, system views, stored procedures, and functions.
  • SQL dialect supported by SQL Server.
  • Tabular Data Stream network protocol as described in Microsoft TDS documentation.
  • Data types and conversions, where all data types are normalized automatically into equivalent SQL Server data types.

Lyftrondata comes with a built-in enterprise data governance framework complying with all of the necessary rules and tools that your team needs to successfully operationalize your program. Amplify your information governance with a robust data lineage model that follows high-quality controls and governance mechanisms.

Skip writing long complex APIs, and transform instantly with SQL. Define data transformations as a standard SQL. Lyftrondata pushes down SQL to data sources and the cloud, making it easy for all users to access the information they need in a timely fashion.

Apply high cardinality joins between API sources, S3, Blob and database, without heavily relying on the BI and data engineering teams to set up complex and time-consuming ETLs.

Eliminate traditional ETL/EDW bottlenecks by auto- normalizing API/JSON/XML/S3/Blob/NoSql sources into ready-to-query relational format. Focus on boosting the productivity of your data professionals and shorten your time to value.

Take a leap from data federation technology and focus on performance optimization as well as self-service search and discovery. Spend more time analyzing data than searching for it.

Perform Azure cognitive AI access with our face recognition API function. Be on the top of technology, and use cognitive services that bring AI within reach of every developer—without requiring machine-learning expertise.

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FAQ

Lyftrondata is a high-performance data virtualization solution for immediate data access, quick data centralization and data governance. Its next-gen architecture complements processes like data warehousing, data preparation, data quality management, and data integration for the highest possible performance.

It empowers enterprises to build a single source of data truth by using a virtual layer on their data environment, thereby providing real-time data access for faster decision making.

Architects could use this to abstract the complexity of accessing data and developers , to build applications quickly and easily, with zero coding environment.

Data virtualization with Lyftrondata makes the data available in minutes and automates data workflows using SQL, thereby cutting down the development, cost, time and efforts by 80%.

Focused on improved transparency and accountability, the modern architecture encapsulates critical information from the outside world and ensures users can’t change the data intentionally.

The modern data platform eliminates the time spent by engineers building data pipelines manually, and makes data instantly accessible by providing real-time access with simple ANSI SQL. Lyftrondata’s prebuilt connectors automatically deliver data to warehouses in normalized, ready-to-query schemas and provide full search on data catalog.

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