Data Warehousing 2019-10-30T13:03:38+00:00

Going from data to value faster is mission-critical for business success today. To derive value, strategic data that an enterprise generates and receives must be loaded into a data warehouse, designed specifically for reporting and analysis. Agility is key; a data warehousing approach that enables enterprises to build fast and respond quickly to change is necessary.

Built upon Astera’s industrial-strength ETL engine and refined by years of use in Fortune 1000 companies, Astera Data Warehouse Builder offers an agile and flexible data warehouse automation platform. The solution “accelerates” data warehousing by automating repetitive tasks, allowing the business to refocus resources on design and optimization. With the feature-rich dimensional modeler, automated handling and loading of dimensions and facts, use of intelligent mapping techniques for process automation, and direct integration with visualization tools, Astera Data Warehouse Builder takes operational data all the way to actionable insights in a code-free environment.

How Data Warehousing Works

Businesses generate and receive massive amounts of data from every business function, stored in separate operational systems in a variety of formats. Data warehousing enables businesses to integrate this disparate data using ETL, persist it in a report-oriented data structure, and create a centralized gateway that allows users to perform analytics at enterprise-scale and make better business decisions.

Design

Gathering requirements is one of the most time-intensive tasks in data warehousing design. Astera Data Warehouse Builder allows users to prototype reports rapidly and decide on source data streams so users can start modeling data faster.

With the built-in designer, data models can either be designed from scratch or reverse engineered from an existing database. For conversion into star or snowflake schema, the solution offers drag-and-drop table merge feature and easily editable fact and dimension roles and properties.

Implement

Astera Data Warehouse Builder uses intelligent matching techniques to map source entities to destination automatically. Users can also take control with direct maps, or write custom expressions. The platform offers the perfect blend of flexible customization and automation.

The solution supports real-time data warehousing with Change Data Capture (CDC). Choose your data loading strategy or define rules to deploy a custom read strategy, and proceed to auto-populate Facts and Dimensions with a single click.

Analyze

Use the platform’s sophisticated data quality and transformation features and load analytics-ready data directly into the business intelligence tool of choice for data visualization.

As an end-to-end business intelligence solution, Astera Data Warehouse Builder offers native integration with the foremost visualization software providers: Tableau, PowerBI, and QlikView. Create interactive charts by exporting data directly, and keep the dashboards updated using Astera Data Warehouse Builder’s powerful job scheduling features.

Deliver on the Promise of an Enterprise Data Warehouse Now

Combining the power of Astera’s industrial-strength ETL engine with advanced automation capabilities, Astera Data Warehouse Builder allows businesses to speed up time-to-information and reduce dependency on IT, ensuring that business users have the right data, at the right time.

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Integrated, Code-Free Interface for Data Warehousing

Intuitive enough that developers and non-developers alike can use it, Astera Data Warehouse Builder’s integrated interface puts all the tools a business needs to build a data warehouse end-to-end in a completely visual, code-free design.

Intuitively Model Business Data in the Built-in Model Designer

With its feature-rich dimensional data modeler, Astera Data Warehouse Builder enables users to visually create dimensional entities, assign roles, and edit Fact and Dimension properties.

Insulate Users from the Technicalities with an Abstraction Layer

The Virtual Data Model creates an abstraction layer so users can connect to unstructured, semi-structured, and structured data directly and prototype reports, effectively insulating users from the technical details of accessing source data.

Automatically Manage Slowly Changing Dimensions

Astera Data Warehouse Builder lets users select how Slowly Changing Dimensions are handled in the data warehouse and choose how they want to track history, directly from the drop-down in Dimension properties.

Derive Greater Performance with Push-Down Optimization (ELT)

Leverage the advanced processing power of databases and data warehouse appliances by pushing down the transformation logic down to the destination and reduce time taken to transform large data sets.

Connect to a Wide Range of Sources and Destinations

The extensive connectivity options ensure that businesses can use all major cloud and on-premise databases and data warehouse appliances as both source and destination.

Export Data Directly into Visualization Software

Automatically populate visualization dashboards and feed data into interactive charts directly from the data warehouse using Astera Data Warehouse Builder’s native integration to leading providers.

Analyze Data Lineage and Impact

Track the flow of data from source to target, or from target to source to study a scaled-down view of lineage based on metadata, and validate relationships.

Ensure Data Readiness with Built-in Modules

Profile, cleanse, and validate data to ensure readiness for the data warehouse using the built-in data quality module; use field and record level logs to determine errors and failure rate.

Generate Integration Flows with One Click

Once mapping is complete and high-level loading strategy is specified, the user can generate the dataflows and workflows along with underlying ETL code to populate the data warehouse automatically.

Automatically Map and Connect Entities

Map source and destination entities of the data model to define how data will be stored in the data warehouse. Save significant time and manual effort by auto-mapping entities with a single click. Users can also map entities by specifying expressions and constant values through custom and constant mapping features, respectively.

Define Load Setting Strategy

Outline the data transfer logic for populating the data warehouse by selecting the most suitable set of read and write strategies. Use full or incremental load settings for reading data from the source data model. Choose from dimensional load, diff processor, upsert, truncate and load, and other options for writing data into destination database. Users can also specify the file path to Change Data Capture (CDC) logic for loading data.

Holistic Security through User Authentication

Control and monitor access to enterprise data assets through Astera Data Warehouse Builder’s robust user authentication features. Using JSON Web Tokens, users can trace-back actions and requests for each user and get an end-to-end view of their activity. Ensure secure information exchange between client machines and the server by configuring SSL protocol for encrypted HTTPS communication.

Monitor and Manage Data Warehouse Users

Create user roles and groups, edit information of existing users, and set privileges based on the level of access and authorization required through Astera Data Warehouse Builder’s unified user management interface. Manage and customize user permissions for executing jobs, changing job schedules, and utilizing APIs for various commands to get holistic views of user activity.

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