There are many causes for exchange EDB corruption but nevertheless when the file actually gets corrupted, it becomes inaccessible for the users. So to repair and recover exchange EDB file you can try the professional exchange server recovery solution from EdbMails . EdbMails is the quickest exchange recovery tool around.It has a simple to understand and use interface and even a Free EDB to PST trial version that allows you to export upto 30 mails per folder.
For near instant recovery of inaccessible exchange databases, make sure to try EdbMails. Filter mails by date / time, subject, attachments and from / to address for PST extraction or Migration to Office 365 / Live Exchange server. Also recover all mail components such as to address, cc,bcc,time, subject,from address, mail header as well as the body.
Repair EDB files irrespective of how corrupt they are
EdbMails also supports export of EDB mails into different formats such as- EML, MSG, HTML and PST. Whether it be tasks, journals,zip attachments,Inbox,calendars, or images you can be assured that the exchange server recovery tool can extract them all flawlessly. You can also comfortably view all the EDB contents before the export operation begins. There is also support for direct migration to Office 365 and Live exchange server. You can even choose to split the PST file into sizes of upto 20 GB.
Getting Started with Spark 2 MP4 | Video: AVC 1280x720 | Audio: AAC 44KHz 2ch | Duration: 2 Hours 16M | 388 MB Genre: eLearning | Language: English
The 2.x releases of Spark represent significantly different and upgraded features. This course will focus on all of these changes, in both theory and practice. Spark is possibly the most popular engine for big data processing these days and the 2.x release has several new features which make Spark more powerful and easy to work with. In this course, Getting Started with Spark 2, you will get up and running with Spark 2 and understand the similarities and differences between version 2.x and older versions. First, you will get to see the basic Spark architecture and the details of Project Tungsten which brought great performance improvements to Spark 2. You will go over the new developer APIs using DataFrames and see how they inter-operate with RDDs from Spark 1.x. Next, you will move on to big data processing where you will load and clean datasets, remove invalid rows, execute transformations to extract insights and perform grouping, sorting, and aggregations using the new DataFrame APIs. You will also study how and where to use broadcast variables and accummulators. Finally, you will work with Spark SQL which allows you to use SQL commands for big data processing. The course also covers advanced SQL support in the form of windowing operations. At the end of this course, you should be very comfortable working with Spark DataFrames and Spark SQL. You will be better equipped to make technical choices based on the performance trade-offs of older versions of Spark vs. Spark 2. Software required: Apache Spark 2.2, Python 2.7.
Download link : (If you need these, buy and download immediately before they are delete)