Data Management: Page

Acceldata makes acquisition to improve AI, LLM observability

The acquisition will give users more visibility into generative AI and LLM pipelines in addition to the traditional data pipelines already served by the vendor.

By Eric Avidon • Sept. 26, 2023

MongoDB reveals new generative AI, vector search tools

After unveiling an integration with Google's LLM suite in June, the vendor moved a set of NLP tools into preview and introduced new data migration and vector search capabilities.

By Eric Avidon • Sept. 26, 2023

GenAI, Vector AI Search, multi-cloud top Oracle CloudWorld

Oracle CEO paints a bright picture of the future with generative AI, shares integration plans and expands Microsoft partnership.

By Stephen Catanzano • Sept. 20, 2023

Databricks lands $500M in new funding, now valued at $43B

The data lakehouse pioneer recently acquired MosaicML for $1.3 billion and could use the new capital to finance acquisitions and further investment in generative AI.

By Eric Avidon • Sept. 14, 2023

Dremio launches updated SQL query acceleration capabilities

The data lakehouse specialist's new version of its SQL query acceleration tool, Reflections, includes automated recommendations and automatic data refresh capabilities.

By Eric Avidon • Sept. 14, 2023

Denodo secures $336M equity investment to fuel growth

The data virtualization specialist plans to use the funds to drive expansion, including R&D efforts for generative AI and data governance as well as geographic growth.

By Eric Avidon • Sept. 13, 2023

Security a top challenge in building a modern data platform

Modern data platforms help manage large volumes of data and empower real-time decision-making. It starts with overcoming the top challenges organizations identify.

By Stephen Catanzano • Sept. 12, 2023

Einstein 1 Data Cloud fuels Salesforce’s AI, analytics

The CRM giant's new metadata management layer is capable of processing more data than previous versions to better enable customers' artificial intelligence and analytics needs.

By Eric Avidon • Sept. 12, 2023

How to scrape data from a website

Web scraping is about combing through data at scale. AI developers do it, search engines do it and you can too with a few lines of Python.

By Ben Lutkevich • Sept. 11, 2023

InfluxData launches new database for self-managed users

The time series database vendor completed the InfluxDB 3.0 product line with the release of InfluxDB Clustered, a version tailored for private cloud and on-premises deployments.

By Eric Avidon • Sept. 6, 2023

Couchbase intros generative AI feature for its Capella DBaaS

The database vendor's new tool -- now in private preview -- uses LLM technology to make application developers more efficient by helping them more easily generate code.

By Eric Avidon • Aug. 30, 2023

Neo4j adds vector search to improve generative AI outputs

The graph database vendor aims to improve semantic search and generative AI applications by enabling customers to better access and use unstructured data such as text and images.

By Eric Avidon • Aug. 24, 2023

Data quality fuels analytics, AI

Data quality is tied to organizations' ability to gain actionable data from analytics and AI processes, and orgs that implement data quality tools can make faster decisions.

By Stephen Catanzano • Aug. 21, 2023

C++

C++ is an object-oriented programming (OOP) language that is viewed by many as the best language for creating large-scale applications. C++ is a superset of the C language.

By Nick Barney • Aug. 16, 2023

Cloud data warehouse book challenges data assumptions

Dr. Barry Devlin's book lays out the principles of cloud data warehousing and challenges data managers to evaluate what they need when choosing a data warehouse approach.

By Peter Spotts, Technics Publications • Aug. 14, 2023

Evaluate cloud data warehouses based on data, outcomes

Organizations must focus on data and desired outcomes -- and question their assumptions -- when evaluating cloud data warehouse needs, according to industry expert Dr. Barry Devlin.

By Peter Spotts • Aug. 11, 2023

dimension

In data warehousing, a dimension is a collection of reference information that supports a measurable event, such as a customer transaction.

By Robert Sheldon • Aug. 8, 2023

disambiguation

Disambiguation is the process of determining a word's meaning -- or sense -- within its specific context.

By Robert Sheldon • Aug. 8, 2023

consumer privacy (customer privacy)

Consumer privacy, also known as customer privacy, involves the handling and protection of the sensitive personal information provided by customers in the course of everyday transactions.

By Ben Lutkevich, Alexander Gillis • Aug. 8, 2023

Data management best practices key to generative AI success

Generative AI can create data, empower decision-makers and innovate competitive advantages. Organizations need strong data management practices to use it effectively.

By Stephen Catanzano • Aug. 3, 2023

SnapLogic launches generative AI tool for data integration

The vendor released SnapGPT, a generative AI tool that lets data engineers more efficiently develop data pipelines by using natural language. An early user is Barnard College.

By Eric Avidon • Aug. 3, 2023

Beyond generative AI, data quality a data management trend

Vendors and users have mostly focused on generative AI so far in 2023, but observability to ensure quality and governance also remain key to successful pipelines for analytics.

By Eric Avidon • July 28, 2023

ACID (atomicity, consistency, isolation, and durability)

In transaction processing, ACID (atomicity, consistency, isolation, and durability) is an acronym and mnemonic device used to refer to the four essential properties a transaction should possess to ensure the integrity and reliability of the data involved in the transaction.

By Robert Sheldon • July 28, 2023

Oracle targets speed with launch of MySQL HeatWave Lakehouse

The tech giant's new lakehouse enables users of its database management suite to combine structured and unstructured data to develop a more complete view of their operations.

By Eric Avidon • July 24, 2023

snowflaking (snowflake schema)

In data warehousing, snowflaking is a form of dimensional modeling in which dimensions are stored in multiple related dimension tables.

By Robert Sheldon • July 24, 2023