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Vertica Announces Vertica 12 for Future-Proof Analytics
Latest version of analytics database enables more deployment flexibility, advanced analytics, and enhanced machine learning
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Vertica Inside – Embedded Analytics at Scale
Seize the huge growth opportunity for OEM software developers
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Would you like to analyze your data lake at an economically favorable price?
Take advantage of the time-limited Vertica External Data promotion and analyze all of your data in Parquet or ORC formats stored in HDFS or S3.
With Vertica External Tables, you can
- Accelerate Data Science and explore data using ANSI-99 SQL queries with support for standard visualization tools, SQL, R, and Python.
- JOIN External Data and gain additional insight by creating JOINs between your Vertica data warehouse and untapped data in HDFS.
- Train Machine Learning Models with the data in place using the full data set without down sampling.
- Support Full Information Lifecycle Management with Parquet WRITE capabilities, moving cooler data to Hadoop or the Clouds and analyze it all with Vertica using External Tables
In a modern enterprise architecture, gaining access to data that’s stored in multiple locations is crucial to delivering analytics.
Find out how Vertica External Tables are a great way to keep costs low yet maintain easy access to data of almost any age and any importantce
On-Demand Webcast
Analyze ORC and Parquet data in the right place for the right price with Vertica
In a modern enterprise architecture, gaining access to data that’s stored in multiple locations is crucial to delivering analytics. It shouldn’t really matter if the data is stored in your database or some other location in ORC or Parquet formats. Performing analysis on it without having to first copy it can be a very powerful capability.
Watch this webcast to learn how the external tables feature of Vertica can save you time and effort in many day-to-day analytics tasks.