denodo 7.0 saves some manual coding when building the ‘Base Views’ by performing some initial data type conversions from ANSI SQL type to denodo Virtual DataPort data types. So, where is a quick reference mapping to show to what the denodo Virtual DataPort Data Type mappings are:
ANSI SQL types To Virtual DataPort Data types Mapping
ANSI SQL Type
Virtual DataPort Type
BIT VARYING (n)
CHARACTER VARYING (n)
DECIMAL (n, m)
NUMERIC (n, m)
TIMESTAMP WITH TIME ZONE
VARCHAR ( MAX )
ANSI SQL Type Conversion Notes
The function CAST truncates the output when converting a value to a text, when these two conditions are met:
You specify a SQL type with a length for the target data type. E.g. VARCHAR(20).
And, this length is lower than the length of the input value.
When casting a boolean to an integer, true is mapped to 1 and false to 0.
While trying to create user in Oracle Database 18c Express Edition I kept getting an “ORA-65096: invalid common user or role name” error, which didn’t make sense to me so after validating my command, that I was signed in as an admin user, and determining that my “CREATE USER” was formatted correctly. I did some additional research and determined that in the hidden parameter “_ORACLE_SCRIPT” needed to be set to “True” starting with the Oracle Version 12c and higher.
the “_ORACLE_SCRIPT” values
To set the “_ORACLE_SCRIPT” hidden variable to “True” you need to run an “Alter” command. Then you will be able to create the desired user and run your grants commands as usual.
Oracle provides a few ways to determine which database you are working in. Admittedly, I usually know which database I’m working in, but recently I did an Oracle Database Express Edition (XE) install which did not goes has expected and I had reason to confirm which database I was actually in when the SQL*Plus session opened. So, this lead me to consider how one would prove exactly which database they were connected to. As it happens, Oracle has a few ways to quickly display which database you are connected to and here are two easy ways to find out your Oracle database name in SQL*Plus:
the GLOBAL_NAME table
The First method is to run a quick-select against the GLOBAL_NAME
table, which. is publicly available to logged-in users of the database
Example GLOBAL_NAME Select Statement
select * from global_name;
the V$DATABASE Variable
The second method is to run a quick-select a V$database.
However, not everyone will have access to the V$database variable.
The 360-degree view of
the consumer is a well-explored concept, but it is not adequate in the digital
age. Every firm, whether it is Google or Amazon, is deploying tools to
understand customers in a bid to serve them better. A 360-degree view demanded
that a company consults its internal data to segment customers and create
marketing strategies. It has become imperative for companies to look outside
their channels, to platforms like social media and reviews to gain insight into
the motivations of their customers. The 720-degree view of the customer is
further discussed below.
What is the
720-degree view of the customer?
A 720-degree view of the customer refers to a
three-dimensional understanding of customers, based on deep analytics. It
includes information on every customer’s level of influence, buying behavior,
needs, and patterns. A 720-degree view will enable retailers to offer relevant
products and experiences and to predict future behavior. If done right, this
concept should assist retailers leverage on emerging technologies, mobile
commerce, social media, and cloud-based services, and analytics to sustain
lifelong customer relationships
What Does a
720-Degree View of the Customer Entail?
Every business desires to cut costs, gain an
edge over its competitors, and grow their customer base. So how exactly will a
720-degree view of the customer help a firm advance its cause?
Social media channels help retailers interact
more effectively and deeply with their customers. It offers reliable insights
into what customers would appreciate in products, services, and marketing
campaigns. Retailers can not only evaluate feedback, but they can also deliver
real-time customer service. A business that integrates its services with social
media will be able to assess customer behavior through tools like dislikes and
likes. Some platforms also enable customers to buy products directly.
Customer analytics will construct more detailed customer profiles by
integrating different data sources like demographics, transactional data, and
location. When this internal data is added to information from external
channels like social media, the result is a comprehensive view of the customer’s
needs and wants. A firm will subsequently implement more-informed decisions on
inventory, supply chain management, pricing, marketing, customer segmentation,
and marketing. Analytics further come in handy when monitoring transactions,
personalized services, waiting times, website performance.
The modern customer demands convenience and
device compatibility. Mobile commerce also accounts for a significant amount of
retail sales, and retailers can explore multi-channel shopping experiences. By
leveraging a 720-degree view of every customer, firms can provide consumers
with the personalized experiences and flexibility they want. Marketing
campaigns will also be very targeted as they will be based on the transactional
behaviors of customers. Mobile commerce can take the form of mobile
applications for secure payment systems, targeted messaging, and push
notifications to inform consumers of special offers. The goal should be to
provide differentiated shopper analytics.
Cloud-based solutions provide real-time data across multiple channels, which illustrates an enhanced of the customer. Real-time analytics influence decision-making in retail and they also harmonize the physical and retail digital environments. The management will be empowered to detect sales trends as transactions take place.
The Importance of
the 720-Degree Customer View
Traditional marketers were all about marketing
to groups of similar individuals, which is often termed as segmentation. This technique
is, however, giving way to the more effective concept of personalized
marketing. Marketing is currently channeled through a host of platforms,
including social media, affiliate marketing, pay-per-click, and mobile. The
modern marketer has to integrate the information from all these sources and
match them to a real name and address. Companies can no longer depend on a
fragmented view of the customer, as there has to be an emphasis on
personalization. A 720-degree customer view can offer benefits like:
Firms can improve customer acquisition by
depending on the segment differences revealed from a new database of customer
intelligence. Consumer analytics will expose any opportunities to be taken
advantage of while external data sources will reveal competitor tactics. There
are always segment opportunities in any market, which are best revealed by
real-time consumer data.
Marketers who rely on enhanced digital data can
contribute to cost management in a firm. It takes less investment to serve
loyal and satisfied consumers because a firm is directing addressing their
needs. Technology can be used to set customized pricing goals and to segment
New Products and
Real-time data, in addition to third-party information, have a crucial impact on pricing. Only firms with a robust and relevant competitor and customer analytics and data can take advantage of this importance. Marketers with a 720-degree view of the consumer across many channels will be able to utilize opportunities for new products and personalized pricing to support business growth
The first 360 degrees include an enterprise-wide
and timely view of all consumer interactions with the firm. The other 360
degrees consists of the customer’s relevant online interactions, which
supplements the internal data a company holds. The modern customer is making
their buying decisions online, and it is where purchasing decisions are
influenced. Can you predict a surge in demand before your competitors? A
720-degree view will help you anticipate trends while monitoring the current
View and Big Data
Firms are always trying to make decision making
as accurate as possible, and this is being made more accessible by Big Data and
analytics. To deliver customer-centric experiences, businesses require a
720-degree view of every customer collected with the help of in-depth analysis.
Big Data analytical capabilities enable monitoring
of after-sales service-associated processes and the effective management of
technology for customer satisfaction. A firm invested in being in front of the
curve should maintain relevant databases of external and internal data with
global smart meters. Designing specific products to various segments is made
easier with the use of Big Data analytics. The analytics will also improve
asset utilization and fault prediction. Big Data helps a company maintain a
clearly-defined roadmap for growth
It is the dream of every enterprise to tap into
customer behavior and create a rich profile for each customer. The importance
of personalized customer experiences cannot be understated in the digital era.
The objective remains to develop products that can be advertised and delivered
to customers who want them, via their preferred platforms, and at a lower
Developed by Apache Software Foundation, Apache Derby DB is a completely free, open-source relational database system developed purely with Java. It has multiple advantages that make it a popular choice for Java applications requiring small to medium-sized databases.
With over 15 years in development, Derby DB had time to grow, add new and improve on the existing components. Even though it has an extremely small footprint – only 3.5MB of all JAR files – Derby is a full-featured ANSI SQL database, supporting all the latest SQL standards, transactions, and security factors.
The small footprint adds to its versatility and portability – Derby can easily be embedded into Java applications with almost no performance impact. It’s extremely easy to install and configure, requiring almost no administration afterward. Once implemented, there is no need to further modify or set up the database at the end user’s computer. Alongside the embedded framework, Derby can also be used in a more familiar server mode.
All documentation containing different manuals for specific versions of Derby can be found on their official website, at :
Java is compatible with almost all the different platforms, including Windows, Linux, and MacOS. Since Derby DB is implemented completely in Java, it can be easily transferred without the need for different distribution downloads. It can use all types of Java Virtual Machines as long as they’re properly certified. Apache’s Derby includes the Derby code without any modification to the elemental source code.
Derby supports transactions, which are executed for quick and secure data retrieval from the database as well as referential integrity. Even though the stored procedures are made in Java, in the client/server mode Derby can bind to PHP, Python and Perl programming languages.
All data is encrypted, with support for database triggers to maintain the integrity of the information. Alongside that, custom made functions can be created with any Java library so the users can manipulate the data however they want.
Embedded and Server
Derby’s embedded mode is usually recommended as a beginner-friendly option. The main differences are in who manages the database along with how it’s stored.
When Derby is integrated as a whole and becomes a part of the main program, it acts as a persistent data store and the database is managed through the application. It also runs within the Java Virtual Machine of the application. In this mode, no other user is able to access the database – only the app that it is integrated into. As a result of these limits, the embedded mode is most useful for single-user apps.
If it’s run in server mode, the user starts a Derby network server which is tasked with responding to database requests. Derby runs in a Java Virtual Machine that hosts the server. The database is loaded onto the server, waiting for client applications to connect to it. This is the most typical architecture used by most of the other bigger databases, such as MySQL. Server mode is highly beneficial when more than one user needs to have access to the database across the network.
Derby has to be downloaded and extracted from the .zip package before being used. Downloads can be found at the Apache’s official website:
Interacting with Derby is done through the use of ‘ij’ tool, which is an interactive JDBC scripting program. It can be used for running interactive queries and scripts against a Derby database. The ij tool is run through the command shell.
The initial Derby connection command differs depending on whether it’s going to be run in embedded or server mode.