StreamSets Data Collector

Learn all about enterprise data warehouses: what they are, benefits, the team you’ll need to run one, and how they stack up to other data warehouses. The post What’s Different About Enterprise Data Warehouse Architecture appeared first on StreamSets.

Learn to leverage the key features of StreamSets’ Python SDK 6.0 to accelerate data integration. The post Introducing StreamSets Python SDK 6.0 appeared first on StreamSets.

Operational analytics is mission-critical for modern enterprises, enabling them to make data-driven decisions that power growth. Increasingly, all line of business teams rely on its insights, with a range of use cases offering benefits across the ... [More] organization, from managing inventory to marketing personalization and detecting fraud. The demand for operational analytics is high, but it’s… The post What’s Holding Back Operational Analytics: 10 Key Challenges Facing Enterprises appeared first on StreamSets. [Less]

One of the first steps of the data lifecycle is data extraction, which involves collecting data of various types from multiple sources for use in data processes. Because data sources are numerous and bring in data of various types and formats, data ... [More] extraction helps collate, process, and validate this data before loading it into the… The post Data Extraction Defined: Tools, Techniques, and Examples appeared first on StreamSets. [Less]

Data acts as a currency, helping businesses make decisions that reduce operational costs and improve revenue and productivity. In 2020, data generated daily amounted to 1.134 trillion MB, and research estimates this amount to reach over 463 ZB in ... [More] 2025. Organizations collect this data in numerous ways, such as surveys from social media and websites… The post Seven Real-Life Database Examples appeared first on StreamSets. [Less]

Get a grasp on popular database systems, the business use cases for each, and types of database software. The post Seven Real-Life Database Examples appeared first on StreamSets.

In the fast-paced world of data-driven decision-making, organizations are increasingly adopting modern data integration tools like StreamSets Transformer for Snowflake to realize the full potential of their data within Snowflake. However, while ... [More] empowering employees with data access is essential for agility, it raises concerns about data governance and the potential for shadow IT.  In this… The post Best Practices for Using Transformer for Snowflake to Prevent Shadow IT appeared first on StreamSets. [Less]

As a data engineer, you likely have an opinion on coding. The ongoing debate between pro-code and no-code approaches has touched most of us. But the reality is that this is not an all-or-nothing choice. In fact, there is great value in combining both ... [More] no-code/low-code tools and traditional coding methods to achieve optimal results. Let’s… The post The False Dichotomy of Pro-Code vs. No-Code/Low-Code Data Integration appeared first on StreamSets. [Less]

Enterprise reporting has become a whole lot more difficult in recent years. If you are involved in reporting on sustainability, financials, or compliance and risk management, you will undoubtedly have experienced this firsthand. The depth, breadth ... [More] , complexity, and frequency of reporting required has become a serious drain on organizations’ time and resources.  Partly this is… The post The Evolution of Enterprise Reporting and the Role of Agile Data Infrastructure appeared first on StreamSets. [Less]

Most data collected from sources like database systems, websites, applications, and internal systems undergo either online transaction processing (OLTP) or online analytical processing (OLAP). These processing systems carry out different functions ... [More] , with OLAP performing complex queries on aggregated, historical data, while OLTP helps manage and update transaction records. Choosing which processing system to use depends… The post OLTP vs. OLAP: The Differences You Need To Know appeared first on StreamSets. [Less]