Comprehensive Software Reviews to make better IT decisions
Anzo Enables Data Management and Analytics Across Structured and Unstructured Data
Source: Cambridge Semantics
(Permission to use image given by John L. Rueter, VP Marketing, Cambridge Semantics, on Oct 21, 2019.)
What Is So Special About It?
You can organize all the information that you have and run analytics across structured and unstructured data. Up until now, unstructured data had been analyzed either via “human reading” or natural language processing (NLP)-based analytics – separately from the structured data analysis.
How Is It Made Possible?
Anzo uses the knowledge graph data model to organize results of parsing the unstructured data. The same knowledge graph is used to organize the structured data. The technology makes it possible to run queries across both domains through a single starting point – the graph.
You can now uncover the hidden treasures from unstructured data that could provide better contextualization for, explanation of, and insight into the results derived from structured data analytics.
Making unstructured data available for machine learning and artificial intelligence would qualitatively improve your business solutions.
Google is acquiring Fitbit, a leading wearables brand, for $2.1 billion. Google says the motivation is to “help more people with wearables,” expand its vision of “ambient computing,” and, of course, grab a share of the fast-growing $8-billion digital health market.
Databricks, a data processing and analytics platform with a strong focus on artificial intelligence (AI) and machine learning (ML), is investing 100 million euros (US$111 million) in its European Development Center to take advantage of the European pool of talent and cutting-edge research.
There are many data integration vendors, but very few have managed to provide a comprehensive suite of features to meet integration needs. Dell Boomi is one of the leading Integration Platform as a Service (iPaaS) vendors announcing an AI bot framework for complex chatbot integration.
Databricks, a data processing and analytics platform with a strong focus on AI and machine learning, recently raised $400 million in a series F funding round. This puts the company value at $6.2 billion. Databricks plans to use the money to hire more engineers to accelerate R&D.
Several discussion threads on LinkedIn and other social media have been dedicated to the status of Apache Hadoop and the merged Cloudera/Hortonworks. Many predict their demise is not far off. How substantiated are those predictions?
Snowflake has announced a new data exchange allowing businesses to generate new revenue.
The two major Hadoop developers – Hortonworks and Cloudera – merged into one company at the dawn of 2019.
iCEDQ is an automated testing tool of ETL, data warehouse, and data migration with the added capability to monitor production data. iCEDQ recently released a new version of its tool that makes it easier to complete and communicate testing.
Tableau 2019.1 includes a great new feature, which enables users to type “standard” English to query your data. It leverages a specific sub discipline of AI called Natural Language Processing.