ISG Software Research Analyst Perspectives

Databricks Utilizes Unity Catalog to Support Generative AI Development

Posted by Matt Aslett on 17 October 2023

I previously described how Databricks had positioned its Lakehouse Platform as the basis for data engineering, data science and data warehousing. The lakehouse design pattern provides a flexible environment for storing and processing data from multiple enterprise applications and workloads for multiple use cases. I assert that by 2025, 8 in 10 current data lake adopters will invest in data... Read More

Topics: Analytics, Business Intelligence, Data Governance, Data Management, Data, Digital Technology, analytic data platforms, Analytics and Data, AI and Machine Learning

DataOps Buyers Guide: Market Observations

Posted by Matt Aslett on 16 October 2023

The 2023 Ventana Research Buyers Guide for DataOps research enables me to provide observations about how the market has advanced. Data Operations (DataOps) is a methodology focused on the delivery of agile business intelligence (BI) and data science through the automation and orchestration of data integration and processing pipelines, incorporating improved data reliability and integrity via data... Read More

Topics: Data, Data Ops, data operations

Cloudera Facilitates Versatility with Enterprise Data and AI

Posted by Matt Aslett on 03 October 2023

The data platforms market may appear to have little or nothing to do with haute couture, but it is one of the data sectors most strongly influenced by the fickle finger of fashion. In recent years, various architectural approaches to data storage and processing have enjoyed a phase in the limelight, including data warehouse, data mart, data hub, data lake, cloud data warehouse, object storage,... Read More

Topics: Cloud Computing, Data Governance, Data Management, Data, Digital Technology, data operations, Streaming Data Events, analytic data platforms, Analytics and Data, AI and Machine Learning

Generative AI Boosts Value Creation with Outcome-Led Data Integration

Posted by Matt Aslett on 27 September 2023

Despite a focus on being data-driven, many organizations find that data and analytics projects fail to deliver on expectations. These initiatives can underwhelm for many reasons, because success requires a delicate balance of people, processes, information and technology. Small deviations from perfection in any of those factors can send projects off the rails. For data projects, placing too much... Read More

Topics: Analytics, Business Intelligence, Data Management, Data, Digital Technology, data operations, AI and Machine Learning

Microsoft Fabric Stitches Together Data and Analytics

Posted by Matt Aslett on 20 September 2023

I have written before about the rising popularity of the data fabric approach for managing and governing data spread across distributed environments comprised of multiple data centers, systems and applications. I assert that by 2025, more than 6 in 10 organizations will adopt data fabric technologies to facilitate the management and processing of data across multiple data platforms and cloud... Read More

Topics: Analytics, Business Intelligence, Cloud Computing, Data Governance, Data Management, Data, Digital Technology, analytic data platforms, Analytics and Data, AI and Machine Learning

Reversing the ETL Process Improves Data Operations

Posted by David Menninger on 19 September 2023

At one point, analytics and business intelligence were considered non-mission critical activities. One of the primary concerns in designing analytics systems was to ensure they didn’t interfere with or draw computing resources away from operational systems. But today, analytical systems are integral to many aspects of operations. More than 9 in 10 participants in our Analytics and Data Benchmark... Read More

Topics: Analytics, Business Intelligence, Data Management, Data, Digital Technology, data operations, Analytics and Data

Incorta Empowers Data Delivery and Analysis for Business

Posted by Matt Aslett on 07 September 2023

Organizations today have an ever-increasing appetite for platforms that improve the speed and efficiency of data analytics and business intelligence (BI). The ability to quickly process data enables organizations to make well-informed decisions in real time. This agile approach to data processing is crucial for staying ahead in today's competitive landscape. With the rising need for data-driven... Read More

Topics: Data Management, Data, data operations, analytic data platforms

Confluent’s Streaming Analytics Expands Stream Processing Use Cases

Posted by Matt Aslett on 05 September 2023

I recently wrote about the various technologies used by organizations to process and analyze data in real time. I explained that while the terms streaming data and events and streaming analytics are often used interchangeably, they are separate disciplines that make use of common underlying concepts and technologies such as events, event brokers and event-driven architecture. Confluent’s... Read More

Topics: Analytics, Cloud Computing, Data Governance, Data, Digital Technology, Streaming Analytics, Streaming Data Events

EDA with Event Brokers Enable Stream Processing

Posted by Matt Aslett on 15 August 2023

Real-time business is a modern phenomenon, and business transformation has accelerated many business events in recent years. However, the execution of business events has always occurred in real time. Rather, it is the processing of the data related to business events that has accelerated instead of the event itself. Traditionally, the most efficient way to process data has been in batches,... Read More

Topics: Analytics, Data, Streaming Analytics, Streaming Data Events

IBM’s Watsonx Provides a Foundation for Generative AI

Posted by Matt Aslett on 09 August 2023

It is a mark of the rapid, current pace of development in artificial intelligence (AI) that machine learning (ML) models, until recently considered state of the art, are now routinely being referred to by developers and vendors as “traditional.” Generative AI, and large language models (LLMs) in particular, have taken the AI world by storm in the past year, automating and accelerating the... Read More

Topics: Analytics, Business Intelligence, Cloud Computing, Data Governance, Data, Digital Technology, natural language processing, analytic data platforms, Analytics and Data, AI and Machine Learning

DataStax Adds Vector Search to Address Generative AI

Posted by Matt Aslett on 03 August 2023

As I have previously explained, we expect an increased demand for intelligent operational applications infused with the results of analytic processes, such as personalization and artificial intelligence-driven recommendations. These systems rely on the analysis of data in the operational data platform to accelerate worker decision-making or improve customer experience. AI-driven intelligent... Read More

Topics: Analytics, Data, Digital Technology, Streaming Analytics, Streaming Data Events, Analytics and Data, AI and Machine Learning

Explore Document Databases for Application Agility

Posted by Matt Aslett on 26 July 2023

I have previously written about the functional evolution and emerging use cases for NoSQL databases, a category of non-relational databases that first emerged 15 or so years ago and are now well established as potential alternatives to relational databases. NoSQL is a term used to describe a variety of databases that fall into four primary functional categories: key-value stores, wide-column... Read More

Topics: Data

SingleStore Highlights Multi-Format Data Storage for Vector Search

Posted by Matt Aslett on 11 July 2023

The publication of Ventana Research’s 2023 Operational Data Platforms Value Index earlier this year highlighted the importance of incorporating analytic processing into operational applications to deliver personalization and recommendations for workers, partners and customers. This importance is being accelerated by interest in generative AI, especially large language models. The emergence of... Read More

Topics: Analytics, Cloud Computing, Data, Digital Technology, analytic data platforms, Analytics and Data, AI and Machine Learning

Fivetran Automates Data Movement and Transformation

Posted by Matt Aslett on 29 June 2023

Despite best intentions, many organizations still struggle with some fundamental aspects of data processing and analytics. Taking data from operational applications and making it available for analysis is a first step, but data management remains a perennial challenge. Data movement and transformation difficulties can lead to delays and data quality problems that prevent organizations from... Read More

Topics: Cloud Computing, Data Management, Data, Digital Technology, data operations, Analytics and Data

How Data Observability and Data Quality Achieve Data Management

Posted by Matt Aslett on 27 June 2023

Maintaining data quality and trust is a perennial data management challenge, often preventing organizations from operating at the speed of business. Recent years have seen the emergence of data observability as a category of DataOps focused on monitoring the quality and reliability of data used for analytics and governance projects and associated data pipelines. There is clear overlap with data... Read More

Topics: Data Management, Data, data operations

CelerData Enables Real-Time Analytics for the Data Lakehouse

Posted by Matt Aslett on 21 June 2023

Organizations increasingly rely on real-time analytics to make informed decisions and stay competitive in today’s data-driven business landscape. As the complexity of data grows with the continuous addition of diverse sources, customers and workers alike expect real-time responsiveness. Accelerated query performance is crucial to process and extract valuable insights from data in a timely manner.... Read More

Topics: Data Management, Data, data operations, Streaming Data Events, analytic data platforms

Yugabyte Facilitates Migration to Distributed SQL Database

Posted by Matt Aslett on 15 June 2023

I previously explained the arguments in favor of adoption of distributed SQL databases, the new generation of operational data platforms designed to combine the benefits of the relational database model and native support for distributed cloud architecture. It is critical for distributed SQL vendors to engage with developers to ensure they are considering the importance of resilience that spans... Read More

Topics: Cloud Computing, Data, Digital Technology, Analytics and Data

SAP Datasphere Simplifies Management and Use of Distributed Data

Posted by Matt Aslett on 13 June 2023

Data fabric has grown in popularity as organizations struggle to manage data spread across multiple data centers, systems and applications. By providing a technology-driven approach to automating data management and governance across distributed environments, data fabric is attractive to organizations seeking to simplify and standardize data management. I assert that by 2025, more than 6 in 10... Read More

Topics: Cloud Computing, Data Management, Data, Digital Technology, data operations, analytic data platforms, Analytics and Data

Large Language Models and Generative AI: Beware Misplaced Trust

Posted by Matt Aslett on 06 June 2023

The data and analytics sector rightly places great importance on data quality: Almost two-thirds (64%) of participants in Ventana Research’s Analytics and Data Benchmark Research cite reviewing data for quality and consistency issues as the most time-consuming task in analyzing data. Data and analytics vendors would not recommend that customers use tools known to have data quality problems. It is... Read More

Topics: Analytics, Data Governance, Data Management, Data, Digital Technology, natural language processing, Analytics and Data, AI and Machine Learning

Improve Trust in Data with Master Data Management

Posted by Matt Aslett on 18 May 2023

Master data management may not attract the same level of excitement as fashionable topics such as DataOps or Data Platforms, but it remains one of the most significant aspects of an organization’s strategic approach to data management. Having trust in data is critical to the ability of an organization to make data-driven business decisions. Along with data quality, MDM enables organizations to... Read More

Topics: Data Governance, Data Management, Data, data operations