Organizations are struggling to capture and interpret data that is spread across various analytic systems, each system handling different types of processing and data. The space to be the leader in big data analytics market and data warehouse is getting more crowded every day. The buzz words, B.I.G. data have taken new meaning as quants enter the market place as one of the top jobs. Today Teradata talked to us about these 4 key market trends:
1. Driving towards specialized analytics engines
2. New user groups that want more scripting and procedural language support
3. The desire for simplicity of data integration through schema-on-read
4. Demand to operationalize big data insights accelerates need for performance.
What does this mean to you?
If you are able to use all the systems and integrate them, you would have a logical data warehouse with multiple systems, analytical techniques, programming languages and a diverse data types. This couldn’t be more important as I indicated in my report on Marketing Optimization paper. It’s the age old problem of business users (CMOs) vs IT people who do care about the issues that Teradata spoke about. The key for any vendor is to understand what keeps the business user up at night and how to translate what the technical improvements make their day easier or the results they are measured on, better.
Essentially Marketers and other users of big data want to be about to run the right analytics on the right platform. You also want the processing integrated. Often people want to use the data but not worry about where the data resides and they want easy access to data and analytics through existing tools. The point is to optimize, simply and orchestrate processing across and beyond the Teradata UDA.
Teradata has delivered three important innovative products to solidify Teradata’s position as a leader and pioneer in the data and and again demonstrate their engineering prowess. What are those products?
1. Teradata QueryGrid™ – This is for a business user who wants to ask an important question and get a solid, reliable answer. The reason it would be interesting from an IT user is that there is no complex data movement and IT resources that need to be shuffled around and can reduce costly data duplication.
2. Teradata Database 15 – Teradata Database 15 provides support for Teradata QueryGrid. It enables the Teradata to be a single, seamless coordination point for users to have self-service access to data and analytics across multiple disparate systems. This means the delivery of a flexible schema-on-read so that companies can quickly adapt to change in source data and helps them to monetize the Internet interactions. What this means is that it empowers developers to interact with data using the tools and skills they already have. It also increases the high availability so that business have confidence in the data’s delivery.
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SAVE THE DATE!
Constellation’s 4th Annual Connected Enterprise
The Executive Innovation Conference | October 29th-31st
Half Moon Bay, CA | Ritz Carlton