(Part 2) Best information management books according to redditors
We found 409 Reddit comments discussing the best information management books. We ranked the 130 resulting products by number of redditors who mentioned them. Here are the products ranked 21-40. You can also go back to the previous section.
Sr. DBA here. There are actually a few categories of DBA.
The primary ones seem to be Operational DBA and Development/Application DBA. There are of course hybrids, and everyone's role varies depending on the need of their department.
Operational DBA's usually handle the System side of things: Security, backups, replication, etc.
Development DBA's usually handle the code base itself, with some interaction with Security, Backups, replication, Code Repository, and development/tuning. This is the category I fall in (and the one I assume you're interested in as you seem like you want to code).
I'd suggest checking out BrentOzar's site, which has cool blogs and the Office Hours Podcast (which is awesome).
My favorite DBA book so far: Database Administration: The Complete Guide to DBA Practices and Procedures (2nd Edition) https://www.amazon.com/dp/0321822943/
Microsoft Docs : This page is an excellent resource as well. You can download SQL server developer (AKA Express) and have your personal server on your machine. You can use Brent Ozar's guide to install it, then download the Stack Overflow database from his site. to get some data.
As someone who understands the tech side well (computer science, complex adaptive systems, and robotics background) and the economics side poorly, I still disagree with the economist in this video.
I really do think this time automation is different. Eventually, every basic human need will be completely automated. Many typically "thinking" jobs will be automated such as the financial, design, and marketing industries. Researchers have already developed algorithms to "repair" minor problems in software, make art that people find enjoyable, and engineer structures.
People truly underestimate how much better a computer is at many tasks. They aren't just faster - they are unbiased, objective thinkers. People think that they can't figure out certain "unmeasurable" things, but we know that's not true: How to Measure Anything
We can't predict how humanity will respond well enough, but I don't think most people understand the scale to which computers are already impacting their lives, let alone how they will in the near future.
My personal prediction is this will be countered by a shrinking population, increased standard of living (eventually), and increased demand on nonessentials like the arts.
Do good work. Impress the right people. Be noisy, but above that know your shit.
Produce work that is:
Read actual software development management books. Managing Humans and The Manager's Path are my top 2. An Elegant Puzzle is a good 50/50 blend of "managing ICs" and "managing managers" with sprinklings of TPM related topics.
I guess you've read the book 'How to Lie with Charts' and took it as a lesson plan?
https://www.amazon.com/How-Charts-Gerald-Everett-Jones/dp/1419651439
You're only choosing a median income of a wider Denver area which is different from focusing on downtown Denver that has people making half a million per year (and up) along with the breakdown I already addressed in my original post. It's also a very different dynamic from the Denver metro area.
LA County has 88 incorporated cities and many unincorporated areas and, at over 4000 square miles, it is larger than the combined areas of Delaware and Rhode Island. You have many of the literally 10 million occupants living far away from downtown LA in vastly higher concentrations than the Denver metro area.
The Denver metro area is only 2 million people with a vastly different geocentric dynamic. In other words, a lot more of the Denver metro area is empty. There are outskirts of Denver that don't have near the same dynamics, rent, wages, taxation or even cultural aspects as you get closer to the downtown area with its concentration of people and commerce. LA County, on the other hand, has 10 million people spread out in various concentrations (hence incorporated cities, etc.) all over the fringes.
The average pay for a cashier in Los Angeles, CA is hundreds of more dollars per month than a cashier in Denver, CO makes.
Why are you comparing that to people who live in a 12 mile area around the heart of Denver or even the entire Denver metro area which has areas with more wildlife than people within it?
Now, back to reality.
You pull up many same jobs, etc. in California cities that have similar or even lower rent prices as Denver you'll blatantly see the discrepancy in wages versus cost of rent.
Keep in mind Denver rents have increased dramatically in six straight months since January of this year. It's also extended to rent increases in Denver metro area so people are moving further and further to the outskirts.
Data Engineering is different everywhere and task dependent. The best advice I can give is have SQL be your second language. Then depending on your role or daily tasks you would be looking at extra materials.
General Insightful Reads:
Is this for fun or profit?
If it's for fun, and you're on a LAN, you can trivially send short strings over UDP with a few lines of code in basically any language. E.g. https://wiki.python.org/moin/UdpCommunication If you're on ye olde internets you can still use UDP unless one of you is firewalled then you need TCP which is a bit harder to use but still doable.
If this is for profit, stop, don't do it. Yes, we use sockets for this sort of thing, but if you have no experience programming low level sockets I will highly discourage you from attempting to write any production code using low level sockets. You will most likely make yourself and other people sad over myriad subtle intermittent bugs related to framing, flushing, timing, errors, etc. I've seen it happen. It's easy to fuck up and hard to get right even for pros and there's really no good justification for it anymore because we already have such great protocols and libraries. Even if you have the skill to do it it's probably a waste of time.
Instead I would highly recommend you use an established protocol and library. I would suggest http, amqp, or zeromq. They are battle tested dinosaurs that abstract away all the gory details of sockets and are all super easy to use in Python or PHP and have large established ecosystems of implementations, tools and documentation. You could write a little server in Python using Flask and the PHP clients can connect to it and send strings (or JSON or whatever). They all use sockets under the hood of course but you don't have to think about it how it works which is sort of the whole point of software reuse.
If you want to learn low level sockets I strongly recommend https://www.amazon.com/Pocket-Socket-Programming-Kaufmann-Networking/dp/1558606866 it's written for C but the low level python socket libs are pretty similar; they're mostly just wrapping the C api.
You buy me whisky?
Where I work, Expedia, we do the occasional meetup, like speed dating, where we attempt to match mentors and mentees.
But, for homework, read these books.
https://www.amazon.co.uk/gp/product/B01J53IE1O/
https://www.amazon.co.uk/gp/product/B06XP3GJ7F/
https://www.amazon.co.uk/What-Got-Here-Wont-There-ebook/dp/B0041G68WS/
In all seriousness, unlikely I can help out directly, I've got 4 peeps I'm mentoring at the moment, (2 internal to my company, 2 external)
It's literally happening right now.
https://www.amazon.co.uk/Future-Professions-Technology-Transform-Experts/dp/0198713398
I am working on projects using Blue Prism robots to replace 400 middle class workers.
Depending on how deep you want to go, use the following resources:
Learning the basics:
[The Odin Project: Databases] (https://www.theodinproject.com/courses/databases)
Teach Yourself Computer Science: Databases
Teach Yourself CS recommends as an introduction UCBerkeley's 2015 Course: Computer Science 186 - Introduction to Database Systems video recordings.
Going further:
Teach Yourself CS also recommends some further reading and just writing a simple relational database management system from scratch. Which will probably put your understanding well ahead of most junior devs.
Teach Yourself CS continues with the following recommendation:
>Finally, data modeling is a neglected and poorly taught aspect of working with databases. Our suggested book on the topic is Data and Reality: A Timeless Perspective on Perceiving and Managing Information in Our Imprecise World.
Some further readings from the The Architecture of Open Source Applications book series:
Berkeley DB
Dog Bed Database
[SQLAlchemy](
http://aosabook.org/en/sqlalchemy.html)
An introduction to NoSQL, but most importantly an explanation of the cases where SQL and the relational model suit your needs, and others where a NoSQL system might be a better fit.
Take a look at:
https://www.amazon.com/Data-Model-Resource-Book-Vol/dp/0471380237
Maybe it's similar to what you're looking for? It's a bit old, though
I recommend IT Manager's Handbook: Getting Your New Job Done. It has a lot of recommendations that are specific to IT
Not an endorsement of this specific book, but you might consider something like this:
IT Manager's Handbook, Third Edition: Getting your New Job Done
or
It's OK to Be the Boss: The Step-by-Step Guide to Becoming the Manager Your Employees Need
Try /r/law perhaps. I'd certainly be wary of taking on a large amount of debt from a mediocre school. Then again, I'd be wary of that anyway. The difference is, if you went that route, and were somehow sure of a job, you still might find it eliminated by automation in 5-10 years.
Here's the most recent Susskind book on the topic. I didn't read this one. I read The End of Lawyers in 2010: http://www.amazon.com/Future-Professions-Technology-Transform-Experts/dp/0198713398/
This is a very interesting video on automation, from 2014, which touches on the topic: https://www.youtube.com/watch?v=7Pq-S557XQU
To some extent, these trends are happening across the board. For instance, in the LSAT world, there used to be a network of classroom courses all across the country. Instructors taught, rooms were rented, people distributed posters on campus and networked with prelaw societies.
That's vastly diminished. 7Sage was probably the single biggest factor. I've contributed with LSAT Hacks. /r/LSAT and TLS do their share. Effectively a large chunk of the LSAT industry got replaced with a few self-serve, automated resources that are run by a much smaller number of people.
In law you'll likewise probably see an elimination of many low level things. The remaining lawyers will focus on unique insight. Like in all professions, a large chunk of lawyers are not actually providing unique insight, and they'll be at risk. But that's going to be true across the board in all areas if current trends continue.
Which goes back to my original recommendation: don't take $200,000 in debt for a plan that might be wiped out by automation in short order.
I'm fooling around with sockets for the first time myself. It's pretty easy to Google and find some decent tutorials. The problem I've had is that those tutorials are fairly simple; they basically show you how to write a very simple server and a very simple client. If you're going to be using TCP, you're probably going to have to deal with TCP's stream nature either by specifying packet length or including a delimiter or something like that. You're probably going to want to encode your data. And you might need to get into threading or non-blocking.
At least those are the issues I am currently facing.
If you don't mind shelling out a few bucks, there's a nice little book about sockets called The Pocket Guide to TCP/IP Programming. Although the example sare in C, the concepts are explained pretty well, and once you get your head around the concepts, it's easier to Google for solutions in Python.
I've recently been more or less tossed in this boat (my manager doesn't do IT anymore - a bit of a long store), and as a sysadmin I haven't really been too in touch with the business side [1].
If you have anyone who you can use a mentor, definitely take advantage of that. They don't necessarily have to be in IT in order to for their business view to be relevant.
A couple of books that I have picked up are: IT Risk: Turning Business Threats into Competitive Advantage and Real Business of IT: How CIOs Create and Communicate Value.
Hope that helps.
[1] By business side I mean driving innovation and delivering value, not keeping business systems up and running.
Application Security:
Web Security:
Secure Systems
You do not need to pay for training if you do not want too. Unlike some other certs. You can self-study and just pay to take the exam.
>There are two routes towards obtaining the ITIL Foundation level qualification - you can sit the exams at the end of a training course with an Accredited Training Organization (ATO) or Accredited Trainer, or study privately and then book the exam without a training course via one of the ITIL Examination Institutes.
Source
There are various books out there plus videos that can help you. Ones that I have used are:
You can also look at:
From what others have said, the test is very straight forward and almost a vocab exam. Check out /r/ITIL and see if they have any more suggestions.
As for alternatives, You may look at COBIT, CompTIA Project+, CAPM, or PMP. COBIT is a framework similar to ITIL and the other three are Project Management certs that are all based on PMBOK (Project Management Body of Knowledge)
I would check out the twitter hash code #SQLCareer. A lot of the active SQL Server community (and some folks just active in SQL) blogged about what their day to day is like. This can give you a real world look into what it's like.
There are two books I can recommend as well, the DBA Survivor by Tom Larock and also Data Professionals at work by Malathi Mahadevan.
As far as management goes, this can vary. Some DBA Managers are still very technical and in the day to day, some are so far displaced from it they may have forgotten how to write SQL code.
​
​
I started studying and passed within 24 hours. Realized my exam code was about to run out and the last appointment I could get was 6.15pm on a Sunday. Started studying about 8pm on Saturday and passed with 38/40.
I read this book on my Kindle cover to cover (including doing all of the questions and the exam in the book) - https://www.amazon.com/gp/product/B00U5BTDXO/ref=oh_aui_d_detailpage_o00_?ie=UTF8&psc=1
I then watched a few YouTube videos that gave an overview to swot up.
Finally, I did sample exams. Did the one from here (and it had a bunch of the same questions in my actual exam) http://www.apmg-exams.com/index.aspx?subid=4&masterid=3 and then all of the questions from here - http://itilexamtest.com/. Again, there was a lot of repetition from the sample questions to the actual exam. Any I got wrong I made sure I reviewed the material so I understood WHY I got it wrong.
Happy to answer any other questions too!
Used this textbook in an IT Management course this past fall. Was a pretty good resource.
Can be found online for free if you know where to look.
If you decide you want to dive deeper into SQL and consider becoming a DBA, I recommend checking out the book DBA Survivor. That's the book I give to my junior DBAs on day 1, and it has practical easy-to-read advice about how to learn both the technical skills and the non-technical traits that will make you a great DBA. Drop me a line if you have questions and want to learn more.
Yes, I'm not 100% positive that it'll do well there--but /r/estimation generally follows the How To Measure Anything school of metrics: They won't be deterred by anything so trivial as reputable, extant statistics in wide disagreement.
Also, the detail you went into is kinda /r/estimation-ish, itself.
For your particular application I would look at OpenStreetMaps. Otherwise...
David Hay's
Len Silverston's
Michael Blaha's [Patterns of Data Modeling][7]. This one has some interesting temporal, graph, and tree models.
Martin Fowler's [Analysis Patterns][8]. This one skims some of the other patterns, but gives accounting a solid treatment.
They are all well-rated, and I have read all but one, and they are all very good. Several of them are available on [safaribooksonline][9].
Also, OASIS's [Universal Business Language][10], schemas
[1]: http://www.amazon.com/Enterprise-Model-Patterns-Describing-Version/dp/1935504053/ref=sr_1_1?s=books&ie=UTF8&qid=1346950468&sr=1-1&keywords=enterprise%20model%20patterns
[2]: http://www.amazon.com/Data-Model-Patterns-David-Hay/dp/0932633749/ref=pd_sim_b_2?ie=UTF8&refRID=1PQPGE4E6T2RPR2XTN80
[3]: http://www.amazon.com/Data-Model-Patterns-Metadata-Management/dp/0120887983/ref=pd_sim_b_3?ie=UTF8&refRID=1PQPGE4E6T2RPR2XTN80
[4]: http://www.amazon.com/Data-Model-Resource-Book-Vol/dp/0471380237/ref=pd_sim_b_3?ie=UTF8&refRID=08T9TEZJNZM2EMKZV3AB
[5]: http://www.amazon.com/Data-Model-Resource-Book-Vol/dp/0471353485/ref=pd_sim_b_3?ie=UTF8&refRID=1D5TDG7479G7TQMBPNWF
[6]: http://www.amazon.com/Data-Model-Resource-Book-Vol/dp/0470178450/ref=pd_sim_b_4?ie=UTF8&refRID=08T9TEZJNZM2EMKZV3AB
[7]: http://www.amazon.com/Patterns-Modeling-Emerging-Directions-Applications/dp/1439819890/ref=sr_1_1?s=books&ie=UTF8&qid=1346950554&sr=1-1&keywords=patterns%20of%20data%20modeling
[8]: http://www.amazon.com/Analysis-Patterns-Reusable-Object-Models/dp/0201895420/ref=sr_1_1?s=books&ie=UTF8&qid=1346961699&sr=1-1&keywords=analysis+patterns
[9]: http://my.safaribooksonline.com/search?q=data%20model
[10]: http://en.wikipedia.org/wiki/Universal_Business_Language
is this the one?
https://www.amazon.co.uk/Scrum-Pocket-Companion-Practice-Publishing/dp/9087537204/ref=sr_1_1?ie=UTF8&qid=1504106318&sr=8-1&keywords=the+scrum+guide
IT Manager's Handbook is good start.
Here are all the local Amazon links:
amazon.co.uk
amazon.ca
amazon.com.au
amazon.in
amazon.com.mx
amazon.de
amazon.it
amazon.es
amazon.com.br
amazon.nl
amazon.co.jp
Hi - I have a MAC so the process is not working correctly for me. If you are still doing this, can you please de-DRM this book for me? It would be a huge life saver! - http://www.amazon.com/Managing-Using-Information-System-Pearlson/dp/111828173X
> See above - you're still misunderstanding how the field of law works.
Well I'm from the UK and here (and I would guess in most places other than the US) a law degree does not in any way instantly qualify you to be what you refer to as an attorney, and a large percentage of law graduates go into other legal and compliance jobs. There are far more law graduates than there are solicitor / barrister training positions, so naturally a lot of law graduates end up as paralegals, legal support staff, patent clerks, notaries, claims handlers, etc.
> How is the software going to understand where the line is drawn where you can make the determination to ignore the SEC and move forward anyway?
Rather than asking a stranger to talk you through a specific example, I'd recommend doing your own research. Perhaps then you could write a rebuttal article to the ignorant people at The Financial Times, McKinsey, Deloitte, JPMorgan, Oxford University, etc.
https://www.amazon.com/Real-Business-Create-Communicate-Value/dp/1422147614
This was pretty good. From the test source.
https://www.amazon.com/Passing-your-Foundation-Management-Practice-ebook/dp/B00U5BTDXO
Excellent practice of software delivery in Scrum is an extremely difficult skill to master. Don't expect easy answers, but seek out a rigorous course of mastery. Be wary of those who flatter with easy paths to success and cherish those who challenge your ego.
Step one, and don't ignore this:
http://scrumguides.org
This is your first mentor. I recommend reading it once a day for 2 weeks. Ask someone to quiz you on it until you know it back wards and forwards. This is the first form, like when learning a martial art. Think on it deeply and concentrate first on what it says to do. Then just do it. If you have questions, give your sensei the benefit of the doubt and just get good at understanding and executing the basic forms.
After that, explore the "why's" behind the roles, events, artifacts and rules. For reading I recommend:
Scrum: A Pocket Guide
At this stage, it's imperative to find a mentor, someone who has progressed through this "why" stage and can guide you efficiently in this next stage of learning and will help you avoid harmful pitfalls. Look online, in forums, maybe this sub, local meetups, name brand web sites like Scrum.org and keep looking until you find this person. All people will approach this stage of mastery and have the temptation to proclaim, "I've got this!" when they don't. They are on the edge of true understanding and wisdom.
Beyond this is true mastery and expertise. This is where folks tend to write their own playbooks and is beyond the scope of this suggestion. Feel free to reach out to me with any specific questions you may have.
Neither are specified to me. I do have the first two chapters available so we could compare a few pages if you found one!
This appears to be the same.
I already have the book but a searchable PDF version will make the final less ridiculous. He makes his tests retarded.
This is it if you're up for it.
Management Information Systems for the Information Age 9th Edition, Kindle Edition
No, you do not need to have logic on the external drives. The idea here is that the OS and all of your apps (Logic) are on the internal drive in your computer like normal, but all of the heavy reading & writing is being handled by the external drive that is only doing that.
If you are as nervous as you seem to be about general file management and moving files between drives without deleting them permanently or causing a global meltdown, this is a problem that will plague you well beyond your use of Logic. It would be a smart move to maybe take a basic computer course at the local university (or the local Apple store really!) or find a few books to read a bit more about the basics of file management and how to act confidently when you need to move your data around.
You might start HERE on the Apple Dev pages about how the file system fundamentally works.
A good book (non-OS specific) that covers a lot of general theory about managing your digital life is Bit Literacy by Mark Hurst. Absolutely something I would recommend to anyone who is uneasy or unsure about generally managing the bits & bytes in your life.
Have fun, feel free to PM with any questions. I wrote a blog post about external drives & Logic some time ago... I'll dig up the link an post it when I find it.
> It’s hard to consolidate databases theory without writing a good amount of code. CS 186 students add features to Spark, which is a reasonable project, but we suggest just writing a simple relational database management system from scratch. It will not be feature rich, of course, but even writing the most rudimentary version of every aspect of a typical RDBMS will be illuminating.
>
> Finally, data modeling is a neglected and poorly taught aspect of working with databases. Our suggested book on the topic is Data and Reality: A Timeless Perspective on Perceiving and Managing Information in Our Imprecise World.
>
>
>
>
>
> ### Languages and Compilers
>
> Most programmers learn languages, whereas most computer scientists learn about languages. This gives the computer scientist a distinct advantage over the programmer, even in the domain of programming! Their knowledge generalizes; they are able to understand the operation of a new language more deeply and quickly than those who have merely learnt specific languages.
>
> The canonical introductory text is Compilers: Principles, Techniques & Tools, commonly called “the Dragon Book”. Unfortunately, it’s not designed for self-study, but rather for instructors to pick out 1-2 semesters worth of topics for their courses. It’s almost essential then, that you cherrypick the topics, ideally with the help of a mentor.
>
> If you choose to use the Dragon Book for self-study, we recommend following a video lecture series for structure, then dipping into the Dragon Book as needed for more depth. Our recommended online course is Alex Aiken’s, available from Stanford’s MOOC platform Lagunita.
>
> As a potential alternative to the Dragon Book we suggest Language Implementation Patterns by Terence Parr. It is written more directly for the practicing software engineer who intends to work on small language projects like DSLs, which may make it more practical for your purposes. Of course, it sacrifices some valuable theory to do so.
>
> For project work, we suggest writing a compiler either for a simple teaching language like COOL, or for a subset of a language that interests you. Those who find such a project daunting could start with Make a Lisp, which steps you through the project.
>
>
>
> [Compilers: Principles, Techniques & Tools](https://teachyourselfcs.com//dragon.jpg) [Language Implementation Patterns](https://teachyourselfcs.com//parr.jpg)> Don’t be a boilerplate programmer. Instead, build tools for users and other programmers. Take historical note of textile and steel industries: do you want to build machines and tools, or do you want to operate those machines?
>
> — Ras Bodik at the start of his compilers course
>
>
>
>
>
> ### Distributed Systems
>
> As computers have increased in number, they have also spread. Whereas businesses would previously purchase larger and larger mainframes, it’s typical now for even very small applications to run across multiple machines. Distributed systems is the study of how to reason about the tradeoffs involved in doing so, an increasingly important skill.
>
> Our suggested textbook for self-study is Maarten van Steen and Andrew Tanenbaum’s Distributed Systems, 3rd Edition. It’s a great improvement over the previous edition, and is available for free online thanks to the generosity of its authors. Given that the distributed systems is a rapidly changing field, no textbook will serve as a trail guide, but Maarten van Steen’s is the best overview we’ve seen of well-established foundations.
>
> A good course for which some videos are online is MIT’s 6.824 (a graduate course), but unfortunately the audio quality in the recordings is poor, and it’s not clear if the recordings were authorized.
>
> No matter the choice of textbook or other secondary resources, study of distributed systems absolutely mandates reading papers. A good list is here, and we would highly encourage attending your local Papers We Love chapter.
>
>
>
> [Distributed Systems 3rd edition](https://teachyourselfcs.com//distsys.png)
>
>
>
> ## Frequently asked questions
>
> #### What about AI/graphics/pet-topic-X?
>
> We’ve tried to limit our list to computer science topics that we feel every practicing software engineer should know, irrespective of specialty or industry. With this foundation, you’ll be in a much better position to pick up textbooks or papers and learn the core concepts without much guidance. Here are our suggested starting points for a couple of common “electives”:
>
> - For artificial intelligence: do Berkeley’s intro to AI course by watching the videos and completing the excellent Pacman projects. As a textbook, use Russell and Norvig’s Artificial Intelligence: A Modern Approach.
> - For machine learning: do Andrew Ng’s Coursera course. Be patient, and make sure you understand the fundamentals before racing off to shiny new topics like deep learning.
> - For computer graphics: work through Berkeley’s CS 184 material, and use Computer Graphics: Principles and Practice as a textbook.
>
> #### How strict is the suggested sequencing?
>
> Realistically, all of these subjects have a significant amount of overlap, and refer to one another cyclically. Take for instance the relationship between discrete math and algorithms: learning math first would help you analyze and understand your algorithms in greater depth, but learning algorithms first would provide greater motivation and context for discrete math. Ideally, you’d revisit both of these topics many times throughout your career.
>
> As such, our suggested sequencing is mostly there to help you just get started… if you have a compelling reason to prefer a different sequence, then go for it. The most significant “pre-requisites” in our opinion are: computer architecture before operating systems or databases, and networking and operating systems before distributed systems.
>
> #### Who is the target audience for this guide?
>
> We have in mind that you are a self-taught software engineer, bootcamp grad or precocious high school student, or a college student looking to supplement your formal education with some self-study. The question of when to embark upon this journey is an entirely personal one, but most people tend to benefit from having some professional experience before diving too deep into CS theory. For instance, we notice that students love learning about database systems if they have already worked with databases professionally, or about computer networking if they’ve worked on a web project or two.
>
> #### How does this compare to Open Source Society or freeCodeCamp curricula?
>
> The OSS guide has too many subjects, suggests inferior resources for many of them, and provides no rationale or guidance around why or what aspects of particular courses are valuable. We strove to limit our list of courses to those which you really should know as a software engineer, irrespective of your specialty, and to help you understand why each course is included.
>
> freeCodeCamp is focused mostly on programming, not computer science. For why you might want to learn computer science, see above.
>
> #### What about language X?
>
> Learning a particular programming language is on a totally different plane to learning about an area of computer science — learning a language is much easier and much less valuable. If you already know a couple of languages, we strongly suggest simply following our guide and fitting language acquisition in the gaps, or leaving it for afterwards. If you’ve learned programming well (such as through Structure and Interpretation of Computer Programs), and especially if you have learned compilers, it should take you little more than a weekend to learn the essentials of a new language.
>
> #### What about trendy technology X?
>
> (continues in next comment)
I'd say both at once. For someone just getting started exploring the DBA role, I'd recommend Craig Mullins book, Database Administration. It's a platform agnostic overview of the role, responsibilities and knowledge needed. It's a great beginners book because it really does outline the stuff you'll need to study without getting into the specifics of platform or version.
https://www.amazon.com/Database-Administration-Complete-Practices-Procedures/dp/0321822943/ref=sr_1_2?ie=UTF8&qid=1482318494&sr=8-2&keywords=craig+mullins
Bit Literacy
How the author can possibly consider himself technology / productivity savvy is beyond me. It is a good book for say, your grandpa that just got his first computer. But if you've spent more than half and hour browsing the web you are probably more "bit literate" than the author.
The book if full of very specific work flows that the author pretends are general principles that will work for most people when the clearly won't. The book is also full of just plain wrong information. It's a little outdated now but even when it first came out the book was crap.
I have a Bachelors in economics and applied for entry-level business/data analyst positions. Business analysis can be kind of broad, but is more operations-related. Some data analyst positions (and data scientist) ask for CS degrees, but others ask for business degrees.
Your experience seems in-line with these positions. Look up some job descriptions/titles that interest you (related positions I looked at included financial analyst, project analyst) and see what they ask for. I found these courses useful:
Looks like someone is the master of this book: How To Lie With Charts: Second Edition
This is a fantastic book which deconstructs the whole "IT doesn't add value" argument. Basically, the authors advocate the use of "before and after" type metrics for demonstrating the efficiencies which IT can bring to a business problem.
https://www.amazon.com/Real-Business-Create-Communicate-Value/dp/1422147614/ref=sr_1_1?ie=UTF8&qid=1525428911&sr=8-1&keywords=business+value+it
Here are all the local Amazon links I could find:
amazon.co.uk
amazon.ca
amazon.com.au
amazon.in
amazon.com.mx
amazon.de
amazon.it
amazon.es
amazon.com.br
amazon.nl
amazon.co.jp
Beep bloop. I'm a bot to convert Amazon ebook links to local Amazon sites.
I currently look here: amazon.com, amazon.co.uk, amazon.ca, amazon.com.au, amazon.in, amazon.com.mx, amazon.de, amazon.it, amazon.es, amazon.com.br, amazon.nl, amazon.co.jp, if you would like your local version of Amazon adding please contact my creator.
Start by doing research. No offense, but it sounds like you don't even know what a DBA does. First, take your question, copy and paste it into a search engine. You'll find better-written articles and blogs than any drive-by responses you'll get in a forum.
And read this since you have no other place to start.
Database Administration: The Complete Guide to DBA Practices and Procedures
DBA is the kind of job where you're probably gonna have a hard time without a college degree. Many companies post a bachelors in computer science as a minimum requirement, rightfully so. A company isn't going to pay you 90k+ dollars and full access to one of their most valuable assets if you can't buckle down for an education and proper experience.
If you want the smallest, most condensed material necessary to pass the exam, then Claire Agutter's book is what you want.
https://www.amazon.com/ITIL-Foundation-Essentials-Exam-Facts/dp/1849283990/
If you want to really develop an understanding of ITIL, or intend to proceed to more advanced ITIL certifications, then you probably want something more in-depth.
Best book I read all year: A Guide to Kernel Hacking: Attacking the Core
On big IS projects staffing looks roughly like this:
sponsor > project manager > subject matter expert > business analyst > system analyst > system/data architects > developer.
Business analysts have their own industry organization (IIBA) and their own body of knowledge (BABOK).
I've never had the job, but I am currently learning about databases, Oracle specifically. If you asked this in a a few more months I could offer some realistic help. However, not to waste your time, here is a book that is written for someone in your position. I can't verify its usefulness, but I have read the first several chapters and from a lay perspective the author does seem to know what he is talking about.
The book on Amazon
Gerald Everett Jones
How To Lie With Charts
https://www.amazon.com/How-Charts-Gerald-Everett-Jones/dp/1419651439
> No one knows how to value bitcoin.
Seriously? You might want to check out this book.