1, continue to participate in self-examination, October November have exams. Cramming, over one door is a door.
2, the model of the book to read, for modeling has its own understanding, and in the new work has been applied.
3, the new work, the data system to build a good, stable, so that the future work will be good to do.
4, hive programming to read, because the book is older, after reading, to be 2014 years after the version of the new features to be well known.
5, see the situation to buy learning Dong Xi Mapreduce,hdfs,yarn Source interpretation of the book, because the version is relatively old, it is best to combine the latest code to view, in fact, do not require mastery, at least do familiar.
6, Spark ML video learning, familiar with the commonly used machine learning algorithms have what, how to use, temporarily this year is enough. If there is a better application scenario in the job, at least it will be easy to apply.
7, Spark source code parsing also to be read, compare the latest codes, do not require proficiency, at least to be familiar with.
8, in fact, bought a few very good book "self-Control" "programmer cultivation of the road," and so on, have time to read to see, edify edify sentiment.
Far from their goals, but I'm getting older and bigger, so I have to spell it. First of all to do data Warehouse related talent, Hadoop senior talent, to achieve my BI director's dream.
To the end of this plan to do a summary, look at the completion of the situation, refueling.
I also want to learn high number, discrete mathematics, probability, machine learning, but, energy and time really not enough to use ....
I've come to plan again. ~2015-8 to the end of the year