Three Reasons Why Data Engineers Are Essential

‍

Behind the scenes, Data Engineers are indispensable, powering your data infrastructure and modernizing it. Their expertise in architecting data frameworks, managing the data life cycle, and team collaboration are invaluable for organizations aiming to fully utilize their data assets. Organizations depend on Data Engineers for various tasks ranging from data collection and processing to extracting insights. While many enterprises are host to in-house Data Engineering teams, the responsibilities of a Data Engineer extend beyond merely accomplishing mundane tasks. Their crucial involvement includes architecting data frameworks, oversight of the data life cycle, and ensuring the seamless operation of data infrastructure. They also play a pivotal role in ensuring business continuity and driving sustainable organizational growth. Here at DataStrike, we’re home to dozens of certified Data Engineers with the necessary intangibles to implement, configure, monitor, and maintain your data infrastructure.  Check out our blog below for the 3 reasons why Data Engineers serve an indispensable role.

‍

1. Optimizing Infrastructure

‍

The heartbeat of many organizations is its data infrastructure, consisting of databases, data warehouses, lakes, ETL pipelines, and other elements critical for data interaction and movement. The upkeep of this infrastructure necessitates skills only possessed by Data Engineers.

‍

Architecting Data Frameworks: Tasked with crafting and implementing resilient frameworks, Data Engineers determine how data is collected, preserved, and processed. This selection process includes which databases to utilize, data storage formats, and data pipelines. By creating scalable and efficient frameworks, DataStrike Data Engineers ensure your data infrastructure can manage vast data sets and workloads, which can range from gigabytes to petabytes.

‍

Performance Optimization: By evaluating system performance, identifying bottlenecks, and applying enhancements, Data Engineers expedite data processing efficiency. Their work can range from refining SQL queries and enhancing data pipelines to establishing caching mechanisms for superior performance.

‍

Guaranteeing Data Quality and Governance: High-quality data is crucial for informed organizational decision-making. Data Engineers set data quality benchmarks, impose data validation processes, and uphold data governance principles to maintain accurate and reliable data. They can also address compliance with regulations like GDPR, HIPAA, or CCPA through appropriate data security and privacy protocols. 

‍

2. Overseeing the Data Management Life Cycle

‍

Data undergoes a management life cycle from creation to being discarded when it no longer serves its purpose. Data Engineers manage this cycle with expertise, ensuring data remains highly available, accessible, and actionable - helping you achieve organizational growth.

‍

Data Ingestion: The introduction of data into your platform, or data ingestion, is designed and executed by Data Engineers. In doing so, robust pipelines are established from collected data – which stems from various origins, such as databases, APIs, streaming services, and IoT (Internet of Things) devices, maintaining efficiency and adherence to data format and protocol standards.

‍

Data Storage and Management: Post-ingestion, data is stored in an appropriate repository, a centralized system where the data resides. Data Engineers tailor data storage solutions, selecting between relational databases, NoSQL databases, data lakes, and data warehouses, based on organizational needs. Additionally, they are skilled in fine-tuning data schemas, partitioning, and institute indexing for optimized storage and retrieval.

‍

Data Processing and Analysis: Transforming raw data into insights involves operations like filtering, aggregation, and transformation. Data Engineers conceive processing pipelines using tools such as Apache Spark for highly available and scalable operations. 

‍

Data Visualization and Reporting: Effectively communicating insights is essential for data-driven decision-making. DataStrike Data Engineers excel in developing easily understandable dashboards, reports, and visualizations. By integrating tools like Power BI, they craft compelling and digestible data narratives for team members and stakeholders, sparking collaboration.

‍

3. Collaborating with Established Data Engineering Experts

‍

Even with an existing Data Engineering team, incorporating additional fractional expertise from DataStrike can offer several advantages:

‍

Enhancing Skill Sets: Employing specialized Data Engineers can fill in knowledge gaps of your existing team, enabling them to tackle complex issues your team may not be able to. DataStrike experts hold over 100 years of combined experience and will deliver you a reliable service model, becoming an extension of your team's efforts with systematic off-prem support. 

‍

Spurring Innovation: Collaboration among Data Engineers with varied experiences can spark innovative and creative solutions. Introducing external Data Engineers brings fresh perspectives and novel ideas to ongoing projects, ushering in innovation and continuous enhancement.

‍

Handling Workloads and Deadlines: In the dynamic business world, sticking to deadlines and managing workloads is critical. Additional fractional support can relieve your existing team's workload, ensuring timely project completion and budget adherence. Whether it’s managing data volume spikes, addressing unforeseen challenges, or scaling the infrastructure, extra support can be pivotal. DataStrike offers on-shore 24x7x365 support to ensure the continuity of your organization and the outlined processes, underscoring our dedication to you.

‍

In Conclusion…

‍

Acknowledging the necessity for Data Engineers and investing in their skills ensures the foundation of a robust data infrastructure, the derivation of actionable insights, and a competitive edge in today’s data-centric market. Feel like you’re lacking the necessary support for your data infrastructure? DataStrike has expert Data Engineers skilled in various legacy platforms (like SQL and Oracle) and pivotal business intelligence tools, like Power BI, and will provide you with systematic 24x7x365 support in coordination with the implementation, configuration, and platform maintenance.

‍

About DataStrike 

‍

DataStrike is the industry leader in 100% onshore data infrastructure services and enables companies to harness IT changes as a catalyst for growth. With a network of highly specialized experts, strategic partnerships with the world's biggest technology providers, and a platform agnostic approach, DataStrike provides innovative solutions and practical guidance to accelerate digital transformation initiatives and drive better business outcomes for small-to mid-sized businesses. Click here to learn more about our service offerings.      

‍

‍