Monthly Archives: December 2017

Join the DBA training in Pune to make your career in DBA

In today’s E-world, DBA makes ways to store the data in an organized way and manage everything digitally.

Oracle DBA will definitely hold importance as long as databases are there. But we need to keep developing ourself and be updated with the newest technology. If you have the ability to note down the data properly and strategise your work or data in a better way, then you are the best to become a database administrator.

There are many new evolving technologies in DBA like Oracle RAC, Oracle Exadata, Golden Gate, ADM, Oracle Cloud etc. These are new places that promise growth on which you can make money. These technologies are relatively new and experienced professionals are less, which helps create many job opportunities.

Know your field of interest and start developing your skillset for a promising career in the field of DBA.

DBA training in Pune is always there for you to provide the placement as a DBA professional and we at CRB Tech have the best training facilities. We will provide you the 100% placement guaranteed.

Thus, DBA training would be the best option for you to make your career in this field .

What can be the better place than CRB Tech for DBA training in Pune?

DBA institute in Pune will help in you in understanding the basic concepts of DBA related ideas and thus improve your skills in PL/SQL queries.

CRB Tech is the best institution for DBA in Pune.

There are many institutes which offer training out of which CRB Tech stands apart and is always the best because of its 100% guaranteed placements and sophisticated training.

Reason for the best training in CRB Tech:

This has a variety of features that ensure that is the best option from among other DBA programs performed at other DBA training institutions in Pune. These are as follows:

1. You will definitely be a job holder:

We provide a very high intensive training and we also provide lots of interview calls and we make sure that you get placed before or at the end of the training or even after the training and not all the institutes provide such guarantees.

2. What is our placement record?

Our candidates are successfully placed in IBM, Max secure, Mind gate, saturn Infotech and if you refer the statistics of the number of students placed it is 100%

3. Ocean of job opportunities

We have lots of connections with various MNCs and we will provide you life time support to build your career.

4.LOI (Letter of intent):

LOI is offered by the hiring company at the starting itself and it stands for Letter Of Intent and after getting that, you will get the job at the end of the training or even before the training ends.

5. Foreign Language training:

German language training will help you while getting a job overseas in a country like Germany.

6.Interview calls:

We provide unlimited interview calls until the candidate gets placed and even after he/she gets placed he/she can still seek help from us for better job offers. So dont hesitate to join the DBA training in Pune.

7.Company environment

We provide corporate oriented infrastructure and it is in such a way that the candidates in the training will actually be working on the real time projects. Thus it will be useful for the candidate once he/she get placed. We also provide sophisticated lab facilities with all the latest DBA related software installed.

8.Prime Focus on market based training:

The main focus over here is dependent on the current industry related environment. So we provide such training in your training days. So that it will be easier for you to join the DBA jobs.

9.Emphasis on technical knowledge:

To be a successful DBA, you should be well aware of all the technical stuffs and the various concepts of SQL programming and our DBA training institutes have very good faculties who teach you all the technical concepts

Duration and payment assistance:

The duration of the training at our DBA institution in Pune is for

4 months.

The DBA sessions in Pune run for 7-8 hours on Monday to Friday.

Talking about the financial options:

Loan options:

Loan and installment choices are made available for expenses of charges.

Credit Card:

Students can opt the option of EMI transaction on their bank cards.

Cash payment:

Fees can also be paid in cash choices.

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Amazon SimpleDB

The developers are enabled with highly available and flexible NoSQL column database called Amazon SimpleDB for storing and querying structured data items through Web services requests. High availability and flexibility are offered by the design along with Amazon SimpleDB as it reduces the database administration burden.

Database as a service (DbaaS) offering is hosted by Amazon SimpleDB. An account can be set up by Amazon SimpleDB for use for storing and querying data items with the help of Web Services requests.

  • Amazon SimpleDB Offerings

Basic (included), which offers 24 x7 customers service.

Best practice guidance and an assured response time to incidents which is less than 12 hours are included by the developer.

API support and assured response time to incidents which is less than one hour are included in the business.

Direct access to a technical account manager is included by Enterprise infrastructure event management and assured response of incidents which is less than 15 minutes.

  • Amazon SimpleDB Features

For creating and storing multiple data sets, a simple Web Services interface is offered by Amazon SimpleDB by querying your data and returning the results.

Here are few highlights:

A subscriber is any application, software or script for making a call to the Amazon SimpleDB service. Each subscriber is identified by the AWS Access Key ID for billing and metering purposes.

A single Web service API call also called Amazon Simple DB Request and it’s associated data that the subscriber sends to the Amazon SimpleDB service to perform more than one operations.

Any results returned from the Amazon SimpleDB service is none other than Amazon SimpleDB Response to the subscriber after processing the request. Authentication success and failure are handled by the AWS platform.

For running a production database, Amazon SimpleDB makes you reduce the work needed to run a production database. For entering the information it is the best and low-touch data store about conditions or events, status updates, recurring activities, work flow processes and application states. These data logs are meant to be set and forgotten by Amazon SimpleDB and use them for things like tracking or monitoring, trend analysis, metering, auditing and archival or meeting requirements.

Online gaming is supported by Amazon SimpleDB apart from that. There are a high availability and scalability with a database which is free of administration for user and game data especially for developers of online games on any platform.

If there is a need to do any data comparison like GROUP BY or aggregate data or something more than simple storage and retrieval, Amazon SimpleDB is not about to work as well.

  • Amazon SimpleDB data types

Text Strings is the only way treated by all the data. You can organize your structured data by using Amazon SimpleDB in domains and you feed data into it and get data or run queries. Items described by attribute name-value pairs are present in the domain. Various data stored in Amazon SimpleDB is not indexed manually for fast and accurate retrieval.

  • Getting started with Amazon SimpleDB

It is a known fact that Amazon SimpleDB is not an open source and there is no licensed software for installing on a local server. Rather, you need to pay for what you use and there is no minimum fee required. The price depends on the region to establish your Amazon SimpleDB domain(s).

Join DBA Course to learn more about other Database and Analytics Tools.

Stay connected to CRB Tech for more technical optimization and other updates and information.

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Top Enterprise Database Systems

In the year 2017, here are few top enterprise database systems on market and this will help you find the apt solution that will work the best for you:

  • Oracle Database

In the year 1979, Oracle started its journey and was the first commercially present relational database management system (RDBMS). Enterprise database systems and Oracle’s name is quite similar and has unbreakable data delivery and tough corporate competition. The mainstay of this Fortune 500 company is powerful but complex database solutions.

Oracle 12c is the recent release of Oracle’s RDBMS. C means cloud and is reflective of Oracle’s work in spreading its enterprise RDBMS to enable firms for consolidating and managing databases like cloud services when needed through Oracle’s multitenant architecture and in-memory data processing capabilities.

  • Microsoft SQL Server

Explain more details about Microsoft but all other tech companies are exceeded profitably and SQL Server helped put it here. It is quite sure that Microsoft’s desktop operating system is everywhere but if a Microsoft Windows-based server is run by you are running it likely on SQL Server.

It is quite easy to use and is available and the windows operating is tight with integration and makes it a good choice for firms that take Mircosoft products for their enterprises. The latest release of SQL Server 2016 is promoted by Microsoft as the platform both on-premises and cloud databases and business intelligence solutions

In assisting enterprises built on mission-critical applications with high performance, Microsoft also helps SQL Server 2016 with in-memory security technology in OLTP, business intelligence, and analytics.

  • IBM DB2

The big into data centers is put by big blue with DB2. On Linux, UNIX, Windows, the latest release of DB2, DB2 11.1 actually runs. Its DB2 system has been pitted by IBM in a contest with Oracle’s through the International Technology Group and the results showed important cost savings for migrating to DB2 from Oracle.

  • SAP Sybase ASE

In the enterprise market after 25 years of improvements and success, Sybase is still regarded as a major force in its Adaptive Server Enterprise product. Although for few years its market share got reduced it is regarded as something important in the following generation transaction processing space which was owned by Sybase in 2010 and renamed as SAP Sybase ASE. There is also a good amount of support offered by Sybase behind the mobile enterprise by offering partnered solutions to the mobile device market.

  • PostgreSQL

This is regarded as an open-source object-relational management system and is also called as Postgres. Online gaming applications, data center automation suites, and domain registries are few attractive place for its residents. There are some big shots like Skype and Yahoo that it enjoys. There are various strange and tough places that it might deserve the moniker, especially in PostgreSQL. PostgreSQL 9.6.3 is the release of PostgreSQL currently in May 2017. There was an expectation of PostgreSQL 10 in the later part of 2017 and PostgreSQL 10 beta 2 is actually present for you now.

  • MariaDB Enterprise

It is a fully open source database system and all the codes are unveiled under LGPL, GPL, or BSD. MySQL RDBMS’s community-driven fork was started by MariaDB in 2009 and is led by the actual developers of MySQL who started the fork following concerns above MySQL’s acquisition by Oracle.

Recently the MariaDB has seen its fame at the expense of MySQL especially in its assistance by famous Linux distributions. The MySQL was downtrodden by Red Hat Enterprise Linux (RHEL) in the year 2013 and MariaDB were chosen instead of Linux by Fedora. The most attractive factor of MariaDB’s fame is its improved query optimization which enhances the efficiency of database more than MySQL.

Join DBA Course to learn more about Database and Analytics Tools.

Stay connected to CRB Tech for more technical optimization and other updates and information.

 

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Differences Between Data Lakes and Datawarehouse

The main reason for writing this article is to project the difference between data lakes and data warehouses for helping you to know more about data management. Most of the data and analytics practitioners will understand the term. Let us see the main differences:

  • Data Lakes Retain All Data

While developing the data warehouse there is a need to invest a good time to analyze data sources and understand the business processes and profiling data. You will get a highly structured data model, especially for reporting. In this process, the major work is to identify the data to include and avoid. The main thing over here is to make decisions about the type of data to add and to reject in the warehouse. Normally in a report that is defined in the data is not referred for answering particular questions, it will be deleted from the warehouse. For simplifying the data model this is particularly done and also for protecting space on costly disk storage that is used for making the data warehouse performant.

  • Data Lakes Assists All Data Types

Normally the data warehouses consist of data taken from the transactional systems and are composed of quantitative metrics and they are defined by the attributes. Sensor data, web server logs, social network activity, text, and images are avoided and they are termed as Non-traditional data sources. It will quite difficult and expensive for consuming and storing the data. The non-traditional data types are approached by the data lake irrespective of source and structure in the data lake. Schema on reading vs the Schema on Write is the approach used in the data warehouse.

  • Data Lakes Support All Users

Here you can find 80% or lots of users are working. They want to obtain reports and check their performance metrics or slice in a spreadsheet daily. For these users, the data warehouse is actually ideal and it is quite structured and easy to use and understand and for answering these question it is built with some object.

The data is analyzed more on the next 10 percent. The source used over here is the data warehouse but often revert back to source systems to obtain the data that is not added to the warehouse and sometimes get the data from the external organization. Their new reports created are spread everywhere in the organization.

  • Data Lakes Adapt Easily to Modification

The important drawback of the data warehouse is its longer time consumptions for changing them. While developing there is a lot of time invested and obtain the warehouse’ structure correctly. It is a familiar fact that a good warehouse will be submissive to change but it will take a lot of time for the loading process and the work was done to make analysis and report easy.

For the data warehouse team, there are lots of business questions for adapting their system to respond them. The concept of self-service business intelligence is done by rapid answers. Since the entire data is present in its raw form and can be managed by someone else who needs it and the data can be explored by the users to go ahead of the structure of the warehouse in the novel ways and respond their queries.

  • Data Lakes Provide Rapid Insights

This difference has been got from the other four points and the reason is that data lakes contain various data and data types as it enables users to fetch their results on a rapid way when compared to the traditional data warehouse approach. Moreover, this early access to data arrives at a price. The data warehouse development team does the work and will not do work for some or other data sources needed for an analysis. There are lots of structured views of the data in the data lake that actually looks like what they have had earlier in the data warehouse.

Join DBA Course to learn more about Database and Analytics Tools.

Stay connected to CRB Tech for more technical optimization and other updates and information.

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