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Seven Real-Life Database Examples
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...
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Data Extraction Defined: Tools, Techniques, and Examples
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...
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What’s Holding Back Operational Analytics: 10 Key Challenges Facing Enterprises
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...
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Introducing StreamSets Python SDK 6.0
We’re thrilled to introduce the latest release of the StreamSets Python SDK – a powerful tool that seamlessly combines the capabilities of StreamSets with the flexibility and ease-of-use of Python. If...
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What’s Different About Enterprise Data Warehouse Architecture
A robust data view is often the driving force behind effective, data-driven growth decisions. With organizational data residing in multiple data sources like Customer Relationship Systems (CRM),...
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What You Should Know About Snowflake’s Snowpipe Streaming
Data ingestion is one vital aspect of data management. Fast and smooth data ingestion drives faster decision-making that can significantly improve business data value. One common data platform used by...
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Database Schema: Different Types, Designs, and Examples
The rise in digital engagement has increased the amount of data generated, growing to 181 zettabytes by 2025 from 97 zettabytes in 2022. As this data is stored in storage solutions like databases,...
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What Is Data Modernization in 2023?
The explosive nature of data today calls for more efficient ways to govern every step of the data lifecycle while ensuring it remains accessible, findable, and usable to harness its maximum value. One...
View ArticleHarnessing the Power of Transformative Analytics
Data analytics has rapidly evolved from advanced to transformative. Today, organizations have the potential to harness deep insights from their data assets to inform their decision-making and get ahead...
View ArticleSecurity and Responsible Disclosures
StreamSets recently posted a “Responsible Disclosure” policy to the company website. That policy reads: StreamSets is committed to the security of its services and the protection of its customers’...
View ArticleStreamSets Data Backup and Recovery: What To Expect
As with any company concerned with the security of its customers’ data, StreamSets ensures that data is reliably backed up and can be recovered in the event of some disaster. Security is commonly...
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Why Data Mesh vs. Data Lake Is a Broader Conversation
Effective data management is crucial for businesses today, especially with the increased flow of data and the number of data sources. Data management ensures data safety and security as it flows within...
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Zero Data Loss and Real-Time Monitoring: How StreamSets Enhances Oracle CDC
While CDC has been an established practice for years in support of data replication, in today’s fast-paced digital landscape, it opens all sorts of new opportunities to support various use cases such...
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Multi-Factor Authentication for StreamSets and Our Customers
Multi-factor authentication is when an online or in-person system uses multiple different proof points to ensure that the person trying to gain access is the actual person authorized to do so. When you...
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Empowering Lines of Business With StreamSets Transformer for Snowflake
In the evolving landscape of data-driven decision-making, extracting valuable insights from raw data has become a crucial aspect in almost any business operation. For enterprises that use Snowflake,...
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Best Practices for Building Your Azure Data Lake Storage Gen2
Azure Data Lake Storage Gen2 (ADLS Gen2) has emerged as a powerful platform for storing, managing, and processing vast amounts of data. In this blog post, we’ll explore the core functionalities of ADLS...
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Breaking Down the Data Science Pipeline
A data science pipeline starts with identifying your business problem and collecting the data of interest before analysis and interpretation by key decision-makers. Let’s break down the data science...
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Accelerate AI and Analytics With StreamSets and HPE Ezmeral Data Fabric
With data everywhere and enterprises wanting to unlock the insights within their data, organizations need help tackling the challenges associated with data being distributed across multiple locations....
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Six Types of Databases With Examples
Databases are a common fixture in business today, helping organizations store data in a structured and organized manner and providing a reliable data source for building OLAP and OLTP systems and...
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Types of Micosoft SQL Server Replication Setup — And How To Make It Easier
Database replication is a usual database activity that involves distributing data and tables between a source (publisher) and target database (subscriber) to ensure consistency and synchronization. One...
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