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Oracle Goes All In On Cloud

October 18, 2016 by Dave Menninger

I recently attended Oracle OpenWorld for the first time in several years. The message at this year’s event was clear: Oracle is all in on the cloud. I had heard the message, but I didn’t get the full impact until I arrived at the Moscone Center in San Francisco. All signage at the event contained the word “cloud,” and Oracle issued 18...[read more]


The Benefits of Semantic-Based Data Modeling in the Smart Data Lake Era

October 18, 2016 by Sean Martin

The driving force behind enterprise data analytics today is obtaining valuable insights more quickly from large, diverse data sets. A key issue blocking easier access for data scientists, business analysts and IT has been finding an alternative to the current data modeling process.[read more]

The New Mainstream Appeal of Apache Spark

October 13, 2016 by Rick Delgado

It wasn’t too long ago that big data was thought of as a niche concept, something reserved for only those companies that were especially tech-savvy. Fast forward a few years and the popularity of big data has increased tremendously, with businesses of all shapes and sizes using it. Such is the way with most technologies, and Apache Spark...[read more]


Managing Data Tasks with Robotic Process Automation

October 10, 2016 by Rehan Sheikh

Analysts predict that by 2020, Robotic Process Automation solutions will see a compounded annual growth rate of 60.5 percent. Employers are increasingly looking to robotic software to automate many of the data tasks currently completed by humans, for clear reasons, but the process isn’t as cut-and-dry as it first appears.To understand...[read more]

Dreamforce 2016 – Post One

October 5, 2016 by Michael Fauscette

 As I’m headed into another Dreamforce event I plan to keep you updated on the happenings this week. As usual, Dreamforce promises to be a whirlwind of activity and a high energy event. I attend a lot of conferences and while it can be a grind sometimes, Dreamforce is usually a high point in the conference season.Since things are...[read more]

Battling Data Silos: 3 Tips to Finance and Operations Integration

October 4, 2016 by John O'Rourke

Finance is often flying half blind.  Charged with tasks such as budgeting, planning, forecasting, and reporting Finance executives are often only able to see half the picture: the limited amount of data that they have.This data is usually limited to simply the planned or projected revenue and expenditures versus the actual revenue...[read more]

What’s the Difference Between Business Intelligence (BI) and EPM?

September 30, 2016 by John O'Rourke

One of my colleagues recently asked if I could write a blog post describing the difference between business intelligence (BI) and enterprise performance management (EPM) solutions. I haven’t been asked this question in a while, so maybe this is a good time to revisit these terms and technologies, what makes them different, and how...[read more]

Teradata Takes On Cloud and Developers with Big Data & Analytics

September 23, 2016 by Dave Menninger

Teradata recently held its annual Partners conference, at which gather several thousand customers and partners from around the world. This was the first Partners event since Vic Lund was appointed president and CEO in May. Year on year, Teradata’s revenues are down about 5 percent, which likely prompted some changes at the company....[read more]

The Start-ups Guide to IT: Where to Invest your Money for Business Technology

September 23, 2016 by Kyle Cebull

 As a startup, it’s important to make smart investments with your capital in order to maximize the return and have the most possible business impact. Well-funded startups can sometimes spend money in the wrong areas. Here are our best tips on where startups should invest their money when it comes to business technology:An IT...[read more]

What’s New in Finance Transformation? EPM, Cloud, Big Data and More

September 17, 2016 by John O'Rourke

The worlds of Finance and EPM are rapidly changing.  Finance teams are shifting their focus from counting and scorekeeping to adding strategic value to the business,  They are freeing up time to help managers consider the possibilities and make better decisions that can impact future results. To gain a better sense of the...[read more]

3 Steps to Improving Agility in Financial Budgeting and Planning

September 14, 2016 by John O'Rourke

Financial agility is becoming a necessity in the business world, as the world of business continues to evolve and become even more dynamic.Today, there is rarely an aspect to business that isn't constantly fluctuating, evolving, and adapting to trends. Business tends to be one giant set of variables, and consistency is a rarity.It's on...[read more]

6 Things IT Executives Need to Know About Cloud-Based EPM

September 13, 2016 by John O'Rourke

Enterprise performance management (EPM) processes – such as budgeting, planning, financial consolidation, reporting, and analysis – are clearly owned and managed by the CFO and Finance department and can be extended across the enterprise. The systems used to support these processes are typically evaluated, selected, and maintained...[read more]

Database Corner: Beginner’s Guide to MySQL Storage Engines

September 10, 2016 by Eran Levy

When a database is created, one often overlooked but critical factor in performance is the storage engine (particularly as the database grows). In many instances, the temptation is to just accept the default and continue on developing your project. This can lead to unexpected negative impacts on performance, backups, and data integrity...[read more]

8 Ways to Fine-tune your SQL Queries (for production databases)

September 7, 2016 by Eran Levy

In organizations that operate without a data warehouse or separate analytical database for reporting, the only source of the latest and up-to-date data may be in the live production database. When querying a production database, optimization is key. An inefficient query may pose a burden on the production database’s resources, and cause...[read more]

A Deep Dive in Big Data

September 6, 2016 by Ron Bisio

Geospatial big data can include information from an assortment of sensors and data collection methods. Points and features with their associated attributes can be gathered using handheld or survey-grade GNSS, dedicated field computers or even smartphones. These data sets are small compared to other techniques, but they provide very high levels of precision and detail and can be updated rapidly. Mobile mapping systems combine lidar, imaging, GNSS and other sensors to capture large quantities of 3D information.[read more]