In this paper, a methodology for digital image authentication using digital signature is proposed. The hash of the original image is taken and is encrypted by RSA. The digital signature obtained is concealed in the image. Digital signature is sent along with the encrypted image which decreases the probability of meticulous attack by the intruder. The encrypted image is shuffled using Chaotic Logistic Map to get the final shuffled encrypted image. The use of Logistic Map improves the randomness in the image. For the authentication, a comparator is employed which evaluates correctness of the hash extracted. The simulations have been carried out to examine the proposed authentication and encryption technique.

In this paper a new set of approaches is present for analyzing dataset which is called as Big data. The big data is most wrongly interpreted term, when one talk about big data in terms of computers it is concept which explains about gathering, organizing, analyzing the data and from these steps to get information from this data. With this approach one is not able to do previously because there had challenges across one or more of the 3V's of bigdata.Firstly volume which means too big data second is verity which has too complex data and velocity which has fast data. With the help of Bigdata performance of organization is improved. As HADOOP is a prominent framework for big data implementation, so paper present overall architecture of Hadoop with details of its components.