Analytics and business intelligence services require a constant feed of reliable and quality data to provide the insights businesses need for strategic decision-making in real-time. Data is typically stored in various formats and locations and need to be unified, moving from one system to another, undergoing processes such as filtering, cleaning, aggregating, and enriching in what is called a data pipeline. This helps to move data from the place of origin to a destination using a sequence of actions, even analyzing data-in-motion. Moreover, data pipelines give access to relevant data based on the user’s needs without exposing sensitive production systems to potential threats and breaches or without authorization.
The world today is moving fast, and requirements changing constantly. Businesses need to respond in real-time to improve customer delight and become efficient to become more competitive and grow quickly. In 2020, the global pandemic further compelled businesses to invest in data and database technologies to be able to source and process not just structured data but unstructured as well to maximize opportunities. Getting a unified view of historical and current data became a challenge as they moved data to the cloud while retaining a part in on-premise systems. However, this is critical to understand opportunities and weaknesses and collaborate to optimize resource utilization at low costs.
To know more about how Indium can help you build smart data pipelines for data integration of high volumes of data
The concept of the data pipeline is not new. Traditionally, data collection, flow, and delivery happened through batch processing, where data batches were moved from origin to destination in one go or periodically based on pre-determined schedules. While this is a stable system, the data is not processed in real-time and therefore becomes dated by the time it reaches the business user.
Stream processing enables real-time access with real-time data movement. Data is collected continuously from sources such as change streams from a database or events from sensors and messaging systems. This facilitates informed decision-making using real-time business intelligence. When intelligence is built in for abstracting details and automating the process, it becomes a smart data pipeline. This can be set up easily and operates continuously without needing any intervention.
Some of the benefits of smart data pipelines are that they are:
● Fast to build and deploy
The smart data pipelines are built on data engineering platforms using DataOps solutions. They remove the “how” aspect of data and focus on the 3Ws of What, Who, and Where. As a result, smart data pipelines enable the smooth and unhindered flow of data without needing constant intervention or building or being restricted to a single platform.
The two greatest benefits of smart data pipelines include:
● Instant Access: Business users can access data quickly by connecting the on-premise and cloud environments using modern data architecture.
● Instant Insights: With smart data pipelines, users can access streaming data in real-time to gain actionable insights and improve decisions making.
As the smart data pipelines are built on data engineering platforms, it allows:
● Designing and deploying data pipelines within hours instead of weeks or months
● Improving change management by building resiliency to the maximum extent possible
● Adopting new platforms by pointing to them to reduce the time taken from months to minutes
Some of the key features of smart data pipelines include:
Data Integration in Real-time: Real-time data movement and built-in connectors to move data to distinct data targets become possible due to real-time integration in smart data pipelines to improve decision-making.
Location-Agnostic: Smart Data Pipelines bridge the gap between legacy systems and modern applications, holding the modern data architecture together by acting as the glue.
Streaming Data to build Applications: Building applications become faster using smart data pipelines that provide access to streaming data with SQL to get started quickly. This helps utilize machine learning and automation to develop cutting-edge solutions.
Scalability: Smart data integration using striim or data pipelines help scale up to meet data demands, thereby lowering data costs.
Reliability: Smart data pipelines ensure zero downtime while delivering all critical workflows reliably.
Schema Evolution: The schema of all the applications evolves along with the business, ensuring keeping pace with changes to the source database. Users can specify their preferred way to handle DDL changes.
Pipeline Monitoring: Built-in dashboards and monitoring help data customers monitor the data flows in real-time, assuring data freshness every time.
Data Decentralization and Decoupling from Applications: Decentralization of data allows different groups to access the analytical data products as needed for their use cases while minimizing disruptions to impact their workflows.
Benefit from indium’s partnership with striim for your data integration requirements: REAL-TIME DATA REPLICATION FROM ORACLE ON-PREM DATABASE TO GCP
Indium Software is a name to reckon with in data engineering, DataOps, and Striim technologies. Our team of experts enables customers to create ‘instant experiences’ using real-time data integration. We provide end-to-end solutions for data engineering, from replication to building smart data pipelines aligned to the expected outcomes. This helps businesses maximize profits by leveraging data quickly and in real-time. Automation accelerates processing times, thus improving the competitiveness of the companies through timely responses.
By Uma Raj
By Uma Raj
By Abishek Balakumar
Indium Software is a leading digital engineering company that provides Application Engineering, Cloud Engineering, Data and Analytics, DevOps, Digital Assurance, and Gaming services. We assist companies in their digital transformation journey at every stage of digital adoption, allowing them to become market leaders.