Anyone who has used FDMEE to automate loads via OpenBatch has come across the problem of the “openbatch” directory filling up with archive directories. FDMEE creates an archive directory each time a Batch Execution is run, whether or not any files are processed. This not only clogs up the directory, but also makes it very difficult to find previously loaded files due to FDMEE’s naming convention for archived files.
In the previous part of this blog series we shared three little known points around Exalytics. These discoveries were learned while implementing some of the largest North American deployments of Exalytics. These blogs are meant to be the precursor for a webinar around the entire topic of Exalytics. You can find the first blog here, the following four points are the second part of our open discussion.
In a few weeks time I’ll be delivering a webinar about Oracle Exalytics. The goal of the webinar won’t be to encourage you to run out and buy an Exalytics server, but rather to educate the public on the pros and cons of Exalytics. As the EPM Infrastructure Practice Manager at CheckPoint, I and my team have been engaged with two of the largest ongoing Exalytics implementations in North America. We have a number of lessons learned about Exalytics and its surrounding technologies, such as ZFS and Exadata.
Many organizations need to make Journal Entries to adjust Trial Balance and Supplemental account balances that are loaded into Financial Management (HFM). One way to accomplish this is to utilize FDMEE’s Journal Templates. These templates are Microsoft Excel spreadsheets that are formatted to allow adjustments to Entities and Accounts for specific Periods. Here in Part 1, we will concentrate on how to setup the FDMEE application to get ready to load Journals to HFM.
If you’ve stumbled across this blog first, don’t forget to check out Parts I and II. The purpose of this series is to offer insight into the mapping process and identify reasons as to why a dimension’s mappings can grow to an abnormal size. Part III will provide details with regard to the causes of large volume mappings within a dimension, as well as efficient ways to deal with mappings that have gotten disproportional.
Running a business of any size has many challenges and rewards. When we founded CheckPoint Consulting ten years ago, the market that we served and the general business landscape looked very different than it does today. As we were building the company we experienced the explosive growth of social media, the economic meltdown in 2008, the advent of big data, the ever-increasing demand for cloud-based solutions and many more factors that dramatically changed our service portfolio and also how we ran the company. While, as a growing consultancy, we experienced these challenges and opportunities in our own way, we reminded ourselves that our customers were also experiencing them. This awareness is at the core of our success – we understand that how we experience the market impacts the solutions we provide to our customers.