The DataOps Blog
Where Change Is Welcome
Documenting the Steps in Your Data Migration Process
Every organization will inevitably migrate data between locations at some point. Data migration refers to the movement of data between storage locations and data platforms. For example, you might need data migration when you introduce new database systems or migrate applications from on-premises to the cloud. Before the evolution of data migration tools, the data migration process was inefficient, lengthy,…
How Operational Data Stores (ODS) and Data Warehouses Work Together
Data lacks value until organizations can gain business intelligence and insights from it. The ability to transform and maximize the value of an organization's data can be challenging for most businesses. Data storage options must hold company data and be available for querying as needed. Why? Statistics indicate that fast and easy data access increases business performance by up to…
The Costs and Disadvantages of Building an ETL From Scratch
ETL and pipelines are at the center of DataOps as they determine a company's success in managing data. One way you can increase your chances of failing at data management is by building an ETL process from scratch without using a platform like StreamSets. In-house ETL may provide specific custom functions, but it is error-prone and requires more time to…
How to Make a Data Pipeline the Easy Way
With their ability to harness and make sense of all types of data from disparate sources, data pipelines are the foundation of modern analytics. A data pipeline refers to a series of steps (typically called jobs) that aggregate data from various sources and formats and validates this data in readiness for analytics and insights. Businesses can choose to build a…
AWS Reference Architecture Guide for StreamSets
Using StreamSets DataOps Platform To Integrate Data from PostgreSQL to AWS S3 and Redshift: A Reference Architecture This document describes the reference architecture for integrating data from a database to Amazon Web Services (AWS) data analytics stack utilizing the StreamSets DataOps Platform, including the StreamSets Data Collector and Transformer engines, as the data integration platform. It assumes a certain level…