Baker’s Live @ Sector 14

Visited here for Quick sneek peek as its recently opened in Sector 14 near KFC’s.To my surprise it was well planned in terms of bar and seating area. Interiors are very soothing giving you nice vibes of peace and relaxation in busy market of Sec 14.

This place is an add on for Sector 14 gurgaon, as we always went there for Om sweets. But now more options are coming up 🙂

Service: They have come up with “order on tablet” fashion. They provide you a tablet showing images along with Menu. You can place your order from it directly. This reduces our effort to explain our order and make it quick with no issues.Servers are doing good job with quick service.

Order: We ordered burger /pizza in-house and  picked a cake and few pastries for evening function.


Taste: The burger and pizza tasted very good. The burger inner filling was very crispy and yummy. Same with the pizza base. It was quite crispy and above filling had a lot of Jalapenos. Quite tangy but nice try !!

Portion: It was good wrt to single person

Price Worthy: Yes its not at all expensive and worth the quality.

Must try !!

Read more:
Baker's Live Menu, Reviews, Photos, Location and Info - Zomato


Streets of Mumbai & Wai Yu Mun Ching @ Star mall, Gurgaon

Hello Friends..We all knew that Star mall in Sector 30 Gurgaon, was not having Foodcourt before. But now, a new Food court has open here. It has 5-6 shops, out of which 2 are open.

  1. Streets of Mumbai
  2. Wai Yu Mun Ching

Both of the stores open have other branches also in Gurgaon.


We tried Vada pav @ Streets of Mumbai and Honey chilli potato @ Wai Yu Mun Ching.

Taste: Bot were awesome and tasted crispy & authentic.

Service: It was fast , but the servers were not aware how to serve it

Portions: Good enough for family budget

Presentation: Not so good, as servers didnt knew which sause/sidings to offer.So they were asking us what we want to have with Vada Pav

Ambience: It has enough seating space and since its just adjacent to PVR cinema’s, it gives us the benefit to enjoy with family here.

Quality for Money: I think since its newly opened, the quality is good, but prices are lil more. Like for 2 Vada Pav (1 Plate) its offer price is 155 Rs. They generally ask for cash payment, else go for Card after much persuasion.

Good idea to have lunch/dinner and enjoy movie with it !!

More about Streets of mumbai :

Streets of Mumbai Menu, Reviews, Photos, Location and Info - Zomato

Bharwa Bhindi or Stuffed Okra Recipe

This is many people’s fav dish. Since it is cooked without garlic,ginger, onion or tomatoes, its easy to cook, but very time taking.

Bhindi needs to be nicely washed and rinsed.My recipe of bharwa bhindi is for serving 5 people along with Roti and Raita.


  1. Bhindi – 1kg
  2. Spices (salt, Garam masala, dhaniya,red chilli)
  3. Amchoor powder (dry mango) – 1/2 tbsp
  4. Oil- 3 tbsp


  1. Wash Bhindi for atleast 10 mins properly under running water.
  2. Keep it aside for drying (1-2 hrs in summer, 4-5 hrs in winter). If you are in hurry, you can use a cloth to wipe each piece
  3. Trim it from both ends and cut it in long way.
  4. mix all spices together (2tbsp – Garam Masala, Daniya, 1tbsp – Red chilli, 1/2tbsp – amchoor, Salt as per taste)
  5. Start filling bhindi, with this masala mixture in small quantity
  6. Once all bhindi are evenly filled, heat the oil in pan
  7. Put all bhindi in it. Spread Haldi – 1tbsp and stir it well.
  8. close the lid and keep it for 10 mins.
  9. Open the lid, check if Bhindi is soft now. Fry it now in open Pan for next 5- 10 mins, depending how much crispy you want.



Prepare it and share your views 🙂

Daal Pyaaz ki Kachori (Recipe)

Kachori is famous for its outside crispness and softness inside. I tired my hand on it today. Believe me it tasted yummy 🙂 So sharing my recipe and method of preparation here.

Ingredients: (Serves 4)

  1. Moong Daal-1/2 cup
  2. Toor Daal – 1 cup
  3. Onion – 2
  4. oil – 3 tbsp ( for frying Onion)
  5. Oil – as required (for frying Kachori)
  6. Spices
  7. Maida – 2 cup
  8. Flour – 1/2 cup


  1. Mix toor and moong daal in portions mentioned above. Wash them under running water nicely.
  2. Soak it for 4-5 hrs in sufficient water. Then drain water out and keep it aside to dry
  3. Chop 2 onions finely.
  4. Take a pan, put 3 tbsp oil. Heat it and put onion. Fry them properly.


5.After this, add spices as per taste. Stir it well.

6. Meanwhile boil dals mixture kept aside before in a cooker. After 2-3 whistles, take it off the flame. Let it cool. Open the cooker, mash both the dals well.

7. Now add this mash dal mixture to fried onions. Stir it well.Add Salt as per taste


8. Now knead maida with flour in above mentioned portions, using 2 small tbsp oil.

9. Take small portions of it , fill it with above dal onion mixture, roll and close it properly.

10. Take the pan, heat the oil to deep fry these rolls.


Your dish is ready to eat now 🙂 Do try and let me know your experience.

Swanjhane Ke Phool ki Sabji

Hi Friends.

This  is my first blog about food recipe 🙂 So will discuss my fav sabji, ie Swanjane ke phool or you may call it as Drumstick Flower. The Drumstick tree is very well known for its useful qualities like

So  lets start with my recipe to cook Swanjane ki sabji with Hara Choliya (you can also use Green Peas).


1. Swanjane ke phool, 250 gms (clean it well)

2 .Choliya , 100gms

3 . Salt,Masale as per taste( Red chili , Turmeric, Dhaniya, Garam Masala)

4.Ghee   2tbsp

5. Curd – 1/2 cup , milk – 2 tbsp

  1. Drumstick flowers need to be cleaned nicely to remove all stems,black spots etc. This helps to reduce the soarness of sabji.
  2. Wash them properly 3-4 times in water. This again helps to clean it.
  3. Soak these cleaned and washed flowers in water overnight. You can also add pinch of salt to reduce its soarness, like we do it with Karela
  4. Next morning, drain out the water and put these flowers under running water for next 2-3 mins.
  5. Now boil cleaned flowers of swanjana in a clean pot with water till soft (2-3 whistles is fine). Now kepe the pot aside to cool.
  6. Open the Pot.Drain the extra water and squeeze it properly to make it dry.Now you can either cook it or keep it aside to cook later.
  7. Add ghee in  pan & heat it. Add washed Hara choliya (or peas). Add little salt and close the lid for sometime
  8. Meanwhile beat curd with small amount of milk together to make a smooth mixture
  9. Once  choliya gets soft and little crunchy, add masala powders like (salt ,Garam masala, Dhaniya, red chilli, Kali-mirch,Haldi as per taste).
  10. Again stir it well and let it be on low flame for 5 mins
  11. Nicely done, add curd mixture to it. stir is well till curd leaves the water
  12. Once curd and choliya is mixed well and a thick paste can be seen, add the Swnajana squeezed flowers into it and mix it well.
  13. Close the lid and keep it on gas with low flame for next 5 mins.
  14. Now open the lid and your dish is READY to eat 🙂

Prepare it at your home & leave your comments 🙂

RPD Deployment in OBIEE-12c server

RPD Deployment in Obiee 12c server is unlikely different from 11g. In 12c, EM does not have any option for deployments of rpd.We should be using weblogic scripting command “uploadrpd’ to upload repository to Oracle BI Server.

Steps to follow:

  1. Open the command prompt and type “cd \”to change the directory and press Enter
  2. Type “cd /user_projects/domains/bi/bitools/bin”, press Enter
  3. Do “Ls”, to find the utility, on UNIX and data-model-cmd.cmd on Windows.
  4. Run the data-model-cmd.cmd utility along with the upload rpd parameters below:

uploadrpd -I .rpd -W -U -P -SI

uploadrpd -I BI1_SAMPLE.rpd -W Ora234 -U weblogic -P weblogic17-SI ssi

If the operation completes successfully, you will see the following message:

“Operation Successful. RPD upload completed successfully. ”

To understand further these parameters, see below. Along with above parameters, yiu can also use S, N, SSL etc.

  • I specifies the name of the repository that you want to upload.
  • W is the repository’s password. If you do not supply the password, then you will be prompted for the password when the command is run. For security purposes, Oracle recommends that you include a password in the command only if you are using automated scripting to run the command.
  • SI specifies the name of the service instance.
  • U specifies a valid user’s name to be used for Oracle BI EE authentication.
  • P specifies the password corresponding to the user’s name that you specified for U. If you do not supply the password, then you will be prompted for the password when the command is run. For security purposes, Oracle recommends that you include a password in the command only if you are using automated scripting to run the command.
  • S specifies the Oracle BI EE host name. Only include this option when you are running the command from a client installation.
  • N specifies the Oracle BI EE port number. Only include this option when you are running the command from a client installation.
  • SSL specifies to use SSL to connect to the WebLogic Server to run the command. Only include this option when you are running the command from a client installation.
  • H displays the usage information and exits the command.

Example: uploadrpd -I <RepositoryName.rpd> -SI ssi -U weblogic -S -N 8003 -SSL

Types of Databases in existing world

The capture and analyzing of data is typically performed by database management systems, otherwise known as DBMS’s. These types of database software systems are programmed in SQL. SQL (pronounced “ess-que-el”) stands for Structured Query Language. SQL is used to communicate with a database. According to ANSI (American National Standards Institute), it is the standard language for relational database management systems. The most common of all the different types of databases is Relational Databases.

Let’s learn now the different types of databases that exist in today’s world and how to use them in our work.

Types of Databases

  • Relational Databases: A relational database is a collection of data items organized as a set of formally-described tables from which data can be accessed or reassembled in many different ways without having to reorganize the database tables. The relational database was invented by E. F. Codd at IBM in 1970. Example are: PostgreSQL, SQLite, MySQL ,Oracle, Sysbase.
  • No SQLDatabases/Non-relational Databases : A NoSQL (originally referring to “non SQL”, “non relational” or “not only SQL”) database provides a mechanism for storage and retrieval of data which is modeled in means other than the tabular relations used in relational databases. NoSQL databases are increasingly used in big data and real-time web applications.NoSQL systems are also sometimes called “Not only SQL” to emphasize that they may support SQL-like query languages. Motivations for this approach include: simplicity of design, simpler “horizontal” scaling to clusters of machines (which is a problem for relational databases), and finer control over availability. The data structures used by NoSQL databases (e.g. key-value, columnar, graph, or document) are different from those used by default in relational databases, making some operations faster in NoSQL.

Many NoSQL stores compromise consistency (in the sense of the CAP theorem) in favor of availability and partition tolerance.  Some reasons that block adoption of NoSQL stores include the use of low-level query languages, the lack of standardized interfaces, and huge investments in existing SQL.  Also, most NoSQL stores lack true ACID transactions or only support transactions in certain circumstances and at certain levels (e.g., document level).  Finally, RDBMS’s are usually much simpler to use as they have GUI’s where many NoSQL solution use a command-line interface.


  • New SQL Databases: NewSQL is a term to describe a new group of databases that share much of the functionality of traditional SQL relational databases, while offering some of the benefits of NoSQL technologies.Like it provides, ACID transactional consistency of traditional operational databases; the familiarity and interactivity of SQL; and the scalability and speed of NoSQL.


Example to understand both above Databases:


If we use a bank example, each aspect of a customer’s relationship with a bank is stored as separate row items in separate tables.  So the customer’s master details are in one table, the account details are in another table, the loan details in yet another, investments in a different table, and so on.  All these tables are linked to each other through the use of relations such as primary keys and foreign keys.

Non-relational databases, specifically a database’s key-value stores or key-value pairs, are radically different from this model.  Key-value pairs allow you to store several related items in one “row” of data in the same table.  We place the word “row” in quotes because a row here is not really the same thing as the row of a relational table.  For instance, in a non-relational table for the same bank, each row would contain the customer’s details as well as their account, loan and investment details.  All data relating to one customer would be conveniently stored together as one record.

In the relational model, there is an built-in and foolproof method of ensuring and enforcing business logic and rules at the database layer, for instance that a withdrawal is charged to the correct bank account, through primary keys and foreign keys.  In key-value stores, this responsibility falls squarely on the application logic and many people are very uncomfortable leaving this crucial responsibility just to the application.  This is one reason why relational databases will continued to be used.

However, when it comes to web-based applications that use databases, the aspect of rigorously enforcing business logic is often not a top priorities.  The highest priority is the ability to service large numbers of user requests, which are typically read-only queries.  For example, on a site like eBay, the majority of users simply browse and look through posted items (read-only operations).  Only a fraction of these users actually place bids or reserve the items (read-write operations).  And remember, we are talking about millions, sometimes billions, of page views per day.  The eBay site administrators are more interested in quick response time to ensure faster page loading for the site’s users, rather than the traditional priorities of enforcing business rules or ensuring a balance between reads and writes.


Types and examples of NoSQL databases

There have been various approaches to classify NoSQL databases, each with different categories and subcategories, some of which overlap. What follows is a basic classification by data model, with examples:


  1. Key-Value Pair (KVP) Databases: Key-value (KV) stores use the associative array (also known as a map or dictionary) as their fundamental data model. In this model, data is represented as a collection of key-value pairs, such that each possible key appears at most once in the collection. The key-value model can be extended to a discretely ordered model that maintains keys in lexicographic order. This extension is computationally powerful, in that it can efficiently retrieve selective key e.g., InfinityDB, Oracle NoSQL Database and dbm.
  2. Document Databases: each document-oriented database implementation differs on the details of this definition, in general, they all assume that documents encapsulate and encode data (or information) in some standard formats or encodings. Encodings in use include XML and JSON. Documents are addressed in the database via a unique key that represents that document. One of the other defining characteristics of a document-oriented database is that in addition to the key lookup performed by a key-value store, the database offers an API or query language that retrieves documents based on their contents.

Different implementations offer different ways of organizing and/or grouping documents:

  • Collections
  • Tags
  • Non-visible metadata
  • Directory hierarchies

In short, Store documents or web pages, e.g.,MongoDB, Apache CouchDB

  1. Columnar Databases: Store data in columns, e.g., Hbase, SAP Hana
  2. Graph Databases: This kind of database is designed for data whose relations are well represented as a graph consisting of elements interconnected with a finite number of relations between them. The type of data could be social relations, public transport links, road maps or network topologies. Stores nodes and relationship, e.g., Neo4J, FlockDB
  3. Spatial Databases: For map and nevigational data, e.g.,OpenGEO, PortGIS, ArcSDE
  4. In-Memory Database (IMDB): All data in memory. For real time applications
  5. Cloud Databases: Any data that is run in a cloud using IAAS,VM Image, DAAS
            dbimages                                                                      Image courtesy:
Advantages of NoSQL database:
  • Process data faster
  • Have simple data models to understand and execute
  • manage unstructured text




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