You are working on bootstrap and you want to add datepicker, then you have to use bootstrap-datepicker library. but if you are new and how to add datepicker in bootstrap then i provide you example of bootstrap datepicker.
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Today, I write tutorial on dynamic search dropdown autocomplete from database using bootstrap typeahead js in laravel 5.6 app. You have to just follow few step to create autocomplete search text box from database with jquery ajax in laravel 5.7.
Ajax Autocomplete is must if you are dealing with big data table, like you have items or products table and thousands of records so it’s not possible to give drop-down box, but it is better if we use Autocomplete instead of select box.
In this example we will use Bootstrap Typeahead JS plugin for auto-complete, Typeahead.js plugin provide good layout using bootstrap so it pretty good. You can implement autocomplete in your laravel application just following few step.
Robust data and data management forms the backbone of businesses today, more often than not, gives them their competitive edge. Keeping this view, the job of database administrators has become increasingly crucial for companies today. A database administrator (DBA) is responsible not just for database management, but for policy formation, database design, implementation, security and upgradation. Needless to say, it is a crucial role.
An important decision that senior management needs to take, is whether they want to keep the DBA in-house or outsource it to experts (remote).
Our advice?
It pays to use a remote DBA and here are the 6 reasons why:
1. Remote DBAs are Experts
There is no doubt, that when we hire an in-house DBA, we do our best to pick someone with enough experience and perceived skills. It boils down to how well we have judged the prospective DBA and if the DBA can deliver at his job. However, with a remote DBA, clients can be assured that the entire team, is built basis their capability to expertly manage databases and comprise of star experts with years of experience in the field. This allows for skillful management of your database and effective results.
2.Optimizing Your Business Strengths
The outsourcing industry sprung from the realization that businesses do better when they focus on what they do best. Implying, that, what is not their core business, can be handled by someone else. Using a remote DBA means, you spend that much less time, in managing databases which isn’t your core business. This frees up time for you to focus on your core competencies and grow your business by leaps and bounds.
Remote DBA experts these days understand that there is a business goal that needs to be accomplished and they are responsible for making data work in their client’s favor. It simply then makes sense that clients focus on business numbers rather than back-end data, which can be managed by the remote experts.
3. Cost Efficiencies
Database management isn’t a static repetitive task. It is dynamic and the requirements change with new goals and new challenges. When companies hire in-house DBAs, they must incur cost of recruitment, training and retaining that employee. Further, in periods when there is no active involvement required, companies must still pay the in-house DBA his monthly salary. However, with a remote DBA, clients have the option of always paying on-demand or opting for cost-effective packages which bring down the project cost.
4. 24X7 Help
In-house DBAs are company employees doing their jobs only during office hours. They do not work weekends and may not be available for emergencies. However, with remote DBAs which are mostly off-shore, the support is available 24X7 owing to well-planned shifts and resource allocation. Clients can feel assured that their data is being monitored 24X7 and there will always be help available, a call away, during emergencies. Remote DBAs provide a level of flexibility which cannot be compared to any in-house resource.
5. Consistency & Continuity
Despite being based on hard science; data base management is an art and often a reflection of the person managing it. Thus, when in-house managers change jobs, there is a visible gap and possible inconsistency noticed when a new resource takes over. The knowledge transfer takes time and companies also must accommodate for adjustment errors and slip-ups. However, remote DBAs are trained to follow professional templates and standard operating procedures. They are perfectly aligned with and updated on the approach which is undertaken by the DBA service providing company while managing client data. Thus, in case the DBA who is in-charge quits, then the transition is as smooth as it can be, ensuring consistency and continuity.
6. Customized Services
When companies hire in-house DBA, they must go with the whole ‘package’ which means, paying for skill-sets that the DBA brings in but which may not be used in the current data base structure. Further, at varied points of time, the company may need additional skill-sets which the hired expert may not have.
However, when clients engage in remote DBA services, they can avail a variety of customer friendly packages which meet their varied requirements and opt out of other that don’t. It’s the most efficient way to utilize financial resources and get the most out of DBA investments.
To summarize while in-house DBAs might seem like an easier route, remote DBAs come with host of benefit in terms of cost, expertise, customized services, consistency and 24X7 availability. Thus, it makes for a smarter choice to choose remote DBAs to address your business’s database management needs.
Technology in the present corporate world is advancing at such high speed that managers and decision makers encounter new tools almost every month. Further, most of SQLTechGroup’s clients are top management and key decision makers, who do not have a tech background. They are the end users of our products and mainly interested in what the products finally deliver. Hence it is not surprising then, that over a period, terms that describe a service, begin to get used interchangeably. However, we believe that knowing the difference helps, in not just using the tools more effectively and bringing about positive business outcomes; but also, to make the right financial decision when purchasing such tools and services.
One such set of services that are referred to, interchangeably is ‘Analytics’ and ‘Business Intelligence’. So, let us delve deeper to understand their real meaning.
Business Intelligence
Let’s look at this term in isolation first. Business intelligence (BI) are metrics that we use, monthly, to analyze business performance.
Tools such as reporting dashboards, queries and statistical analysis are used to gain meaningful insights, that can help determine the steps to be taken next month or quarter. BI helps answer what happened, why it happened, and how can we proceed.
Business Intelligence helps us look back, take stock of massive amounts of raw data, run queries on it, mine data, use tools like OLAP and provide actionable insights.
A simple example of a practical application of BI is when a paper company uses it to analyze monthly sales, break it down region-wise and understand upward and downward trends. It can then drill down data to multiple levels and bring out meaningful actionable insights which can chart the course for the next month in terms of distribution, inventory management and manufacturing volumes. This analysis could be generated by a mid-level manager, while top management might view an executive summary of this very report to stay apprised.
To summarize, BI is a rearview approach which looks at what has already happened and hence is reactive. It crunches big data using tools such as scorecards, automated dashboard, OLAP, ad hoc queries, automated alerts and templated reporting.
The output of BI is used by business users such as executives, managers and the board to take quick action. All in all, BI is usually descriptive in nature. Keeping this in mind, let us move on to understand Analytics.
Advanced Analytics
Advanced analytics or simply analytics, is the use of sophisticated predictive models that help explore the future and extrapolate unforeseen data patterns. Unlike BI, advanced analytics is not used for day to day or month to month decision-making, but rather to drive the strategic vision of a company on a long-term basis.
Analytics involves in-depth working of big data by data scientists and analysts to discover that, which hasn’t yet been discovered.
Let us explore this through an example of the paper company we mentioned before. Suppose the national sales head who has a good hold on the international market, has a hunch that in the next four years, the paper demand in USA is going triple due to the growing demand for eco-friendly packaging. This would mean a probable need for the company to double its manufacturing capacity to cater to the demand, which would have large financial implications for the company. To confirm this, he would call in the advanced analytics team and brief them on his thinking. The team would then use complex modeling, forecasting, optimization and simulation to come up with demand forecasts, capacity projections, transportation cost optimization and foresee every other scenario that is needed to get the project going.
As we can see, analytics is to do with what will happen in the future and is a proactive approach. It involves not the regular business end users but experienced statisticians, analysts and IT specialists.
Analytics uses tools such as descriptive modeling, multimedia modeling, statistical and quantitative analysis. All in all, advanced analytics analyses and predicts what will happen in the future.
We hope with the above, we could sharply differentiate between Business Intelligence and Advanced Analytics. Knowing the difference can go a long way in selecting the right tools, the right people, and making data work for you in a far more effective manner.
