In the era of the Internet, the ability to crunch large amounts of data and process it with speed and efficiency has become essential for businesses to survive. But you try sitting down and going through all that data by hand: you'll get done sometime in the year 2050 if you're lucky.
That's where machine learning comes to the rescue. But…Continue
Added by Or Hillel on July 22, 2020 at 9:59pm — No Comments
In the article, we talk about the benefits of gamification in training, why it’s becoming a necessity in the Education field and what are some brightest examples of gamification software across the world.
Why is education not effective without gamification? Psychology, social impact and technology hidden…Continue
Added by Mariana Muzyka on May 25, 2020 at 5:53am — No Comments
When a systems integrator selects a data integration tool, it needs to consider a number of selection criteria.
A key criterion for vendor selection is systems compatibility.
The selected tool must foremost be able to interact with the specific systems that the customer's company uses in the project under…Continue
About a month ago, I posted a blog on “Technical Deconstruction.” I described this as a technique to break down aggregate data to distinguish between its contributing parts: these parts might contain unique characteristics compared to the aggregate. For instance, I suggested that it can be helpful to break down data by workday - that is to say, maintaining separate data for each day of the week. I said that the data could be further deconstructed perhaps by time period and employee: the…Continue
Added by Don Philip Faithful on April 14, 2018 at 8:00am — No Comments
There is growing demand of data scientists in every organization. For growth of any business enterprise there is need to evaluate data in order to streamline the strategies and to keep a record. The skills of a data scientist boils down to the tools that they are able to use and are aware of. In this article we will talk of both the programming data science tools as well as ones which do not require much of coding to get started with.…Continue
Added by Joydeep Bhattacharya on November 10, 2016 at 6:54am — No Comments
Data integration requires merging date from different sources, stored using technologies. Companies build a “data warehouse where aggregated data can be stored and retrieved. This is particularly useful for researchers looking to big data to aid in their investigation and corporations usually during the merging with other companies.
Added by Dante Munnis on October 25, 2016 at 7:00am — No Comments
Search any data related posting and you’ll soon be up to your eyeballs in reports on the promise of the new data era, techniques to help build a better data engine or incorporate new data widgets, and infographics and visualizations showing the kinds of insights you can get with the right mix of techniques.
Got it. Data is big. It’s expected to grow in volume to 35 to 45 zetabytes by 2020. As in seven sets of three zeros big.
It’s also transforming business processes big.…Continue
Added by Anne Russell on August 3, 2016 at 11:00am — No Comments
All businesses are at the mercy of data quality challenges. From the moment you capture your first lead, you’ll be fighting a battle against data decay. The bigger the database gets, the more problems the business can encounter, and it isn’t easy to single out a…
With the advent of technology, data is being generated at a fast pace. In order to handle this humongous quantity of data, one needs technologically improved tools which can help to analyze this huge amount of data. These tools help in giving meaning to the information which can be used to strategize organizations future steps. It helps to understand the hidden patterns…Continue
Logi Analytics' recently published its second annual executive review of embedded analytics trends and tactics. It's called "2014 State of Embedded Analytics". In this report, they make an interesting claim:
"What's exciting to all of us at Logi Analytics is that ALL software applications are becoming analytic…
As the size of the database grows database performance becomes critical. Automation is a growing focus for data center operators facing increasingly complex environments. Database administration is complex, repetitive and time consuming. DBAs have to work long hours during off hours downtime. The outage of database costs heavily to the companies and affect their repute.
Shopping engines and online shopping places are highly dependent on database performance. Slower application…Continue
Added by Muhammad Saeed on May 9, 2014 at 4:00am — No Comments