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there is a large data analytics revolution taking location that threatens to separate the AI haves from the have-nots. organizations that run the IBM i server need to get in on the analytics motion identical to all and sundry else, but AI discussions commonly stray faraway from IBM i. Now Fresche solutions is working to shut that disconnect with a series of academic classes based squarely on the intersection of IBM i and Watson.
remaining yr, Fresche options labored with IBM remaining 12 months to put collectively a collection of onsite training seminars aimed at giving IBM i authorities the educational tools they should put into effect Watson in their companies. The onsite classes were so a success that Fresche decided to parlay that content material right into a collection of on-line lessons that IBM i professionals can access at their entertainment through their internet browser.
Fresche produced a complete of six classes that are divided into two lessons, which may also be bought one at a time or as part of a bundle. All classes combine a mix of lectures and demos, and are accessed remotely via Fresche’s working towards web site at working towards.freschesolutions.com.
The instructor for the courses is Mike Pavlak, the Fresche IT strategist and IBM Champion. based on Pavlak, the first route, which is titled “Connecting IBM i applications to Watson,” is geared towards application builders, while the second route, titled “Connecting IBM i information to Watson,” is geared toward information engineers and records scientists.
the first course begins with a basic introduction to Watson, earlier than stepping into extra superior themes in the second segment, comparable to the usage of cleaning soap and rest APIs to join IBM i applications to Watson. within the third section, attendees get in-depth instruction on the way to use open supply analytics applications, akin to Python, with Watson and their IBM i purposes.
The 2d course begins with the basics of creating database connections between IBM i and Watson, as well as gaining access to audit journals and the usage of Watson to investigate social media. The second phase offers developers greater advanced guidance on one of the most underlying HTTP and JSON ideas. The third phase courses attendees during the process of building a true-world application that involves information marts, ETL, and Watson’s machine discovering tech.
The name “IBM Watson” can also conjure up all sorts of ideas in americans’s minds, nonetheless it’s really no longer all that advanced, in line with Pavlak. “Watson is very nearly a web provider,” he says. “It’s utility as a service. That’s it. That’s all it is.”
The carrier can do quite a lot of things, from elementary pattern cognizance and facial attention to “full on records analytics,” Pavlak continues. “but it’s only a provider-oriented providing — that means, if you want to use Watson, you’re going to must push your information and ask it questions and then get a response back and parse that as you see healthy.”
The courses are respectable for anyone who desires extra information on how Watson technologies can integrate with IBM i functions. however Pavlak wants to make certain that the abilities is relevant to other applied sciences, and is advantageous in other contexts, too.
“We’re going to through now not just RPG fundamentals within the type, however additionally how to leverage Watson from open supply tech, and a few of these more recent applied sciences like Python, php, and so on,” he says. “There’s lots of Python that makes up the computing device gaining knowledge of and deep researching area. Watson itself has Python accessories.”
“What I’m extra interested is how i will be able to leverage Python from my IBM i to leverage Watson. Or how am i able to use RPG or php. What I want to make sure clients have the realizing that they’re now not tied into a selected know-how, they’re now not locked into ‘Oh my gosh, i can best use RPG for this or Python for that.’ you have got flexibility and alternatives out there.”
In constructing the curriculum, Fresche labored greatly with the IBM Cognitive team, in addition to with IBM leaders from the Rochester lab, including DB2 for i company architect Scott Forstie and Jesse Gorzinski, IBM i open source enterprise architect. “They were instrumental in helping us,” says Fresche options senior director of advertising Christine McDowell.
The on-line courses were obtainable considering that early October, and Fresche is now ramping up the attention crusade to generate demand. “We’re truly excited about this,” McDowell says. “here's every little thing you are looking to learn about Watson.”
Alison Butterill, product offering manager for IBM i, says she’s extremely happy to peer the direction log on. “We’re working carefully with Fresche and collectively we’re leveraging their world attain and extensive companion network to make certain that all and sundry is aware of how easy it's to make use of Watson on IBM i,” Butterill says.
Fresche, which bought BCD application, looksoftware, Databorough, and other popular IBM i carriers, is essentially focused on promoting utility used for application modernization. When Fresche engages consumers in a modernization initiative, they commonly beginning with a discovery phase, which naturally ends up in approach and product roadmap phases down the road.
“loads of instances the dialog will flip to records analytics,” McDowell says. “Our interest is completely is making bound that we’re well-versed in what clients can do with AI, and making certain that flows via in order that they can make decisions for the longer term.”
providing working towards for IBM Watson is a natural evolution for Fresche, says Andy Kulakowski, the president and chief govt officer of the Montreal, Quebec-primarily based company.
“We supply strategic IT suggestions for digital transformation enablement and utility modernization options to aid IBM i clients leverage their IT property,” Kulakowski says. “Our customers take knowledge of up to date applied sciences including AI, cloud, web and mobile as tools for achievement. We’re excited to deliver training that will support IBM i purchasers raise productiveness and supply sustainable growth for the longer term.”
each and every analytics engagement is entertaining to a selected business’s model and its approach. however early big records analytics and AI patterns have emerged, and practitioners are seeing general issues, reminiscent of inspecting social media content, developing more advantageous customer personalization, and optimizing give chain choices. These are all areas which are ripe for disruption via AI.
“As companies seem to be to modernize, they’re looking at operational efficiencies, they’re looking at providing on more company price, they’re taking a look at aggressive threats,” McDowell says. “They’re taking a look at the place they are looking to be in 5 years. technology is an immense part of that. It’s an incredible driver. And examining what analytics can do for them is a large a part of what we’re coping with.”
Fresche’s two lessons are available for $450 each, or a bundle with both can also be purchased for $799. For greater counsel, see practicing.freschesolutions.com.connected stories
Fresche Takes $60 Million To fuel increase, Consolidate Market
A Fresche Emphasis On services
Fresche Makes bold move In IBM i Modernization enviornment
The DB2 customary Database (UDB) is a move-platform database equipment developed by way of IBM. This chapter introduces the newest version of this software, and enumerates the facets that make UDB a good selection on your company.This chapter is from the booklet
DATABASE 2 (DB2) regularly occurring Database (UDB) for Linux, UNIX, and windows is a relational database administration system (RDBMS) developed by means of IBM. version eight.2, attainable in view that September 2004, is essentially the most present edition of the product, and the one mentioned during this ebook.
during this chapter you're going to study:
on the grounds that the Seventies, when IBM research invented the Relational model and the Structured query Language (SQL), IBM has developed an entire family of RDBMS software. development began on mainframe platforms comparable to digital computer (VM), digital Storage extended (VSE), and diverse digital Storage (MVS). In 1983, DB2 for MVS version 1 changed into born. "DB2" was used to point out a shift from hierarchical databases&8212;just like the counsel administration equipment (IMS) frequent at the time&8212;to the new relational databases. DB2 development continued on mainframe platforms as well as on allotted structures. determine 1.1 indicates one of the crucial highlights of DB2 background.
In 1996, IBM introduced DB2 UDB version 5 for disbursed structures. With this edition, DB2 become able to keep every kind of digital records, together with ordinary relational facts, in addition to audio, video, and text documents. It turned into the first edition optimized for the net, and it supported more than a few distributed structures&8212;for instance, OS/2, home windows, AIX, HP-UX, and Solaris&8212;from assorted vendors. in addition, this ordinary database turned into in a position to run on numerous hardware, from uniprocessor techniques and symmetric multiprocessor (SMP) methods to hugely parallel processing (MPP) systems and clusters of SMP methods. IBM protected the time period "established" in the identify to symbolize the brand new capabilities of this edition. All types of DB2 on allotted systems and on MVS, AS/four hundred, VM, and VSE have adopted the identify DB2 UDB.
today, DB2 represents a portfolio of suggestions management products. table 1.1 shows the DB2 information administration portfolio and the product offerings below each and every classification. To above all check with database servers, "UDB" has to be added to the identify, as in DB2 UDB . In most books and documents, together with this one, the phrases "DB2" and "DB2 UDB" are used interchangeably. until otherwise stated, after they use anyone of these terms in this booklet, we're referring to DB2 operating on Linux, UNIX, or home windows.table 1.1. DB2 counsel management products
counsel administration products
save electronic information and allow the sharing of tips across assorted platforms.
IBM DB2 UDB
IBM red Brick Warehouse
DB2 enterprise Intelligence
help valued clientele compile, prepare, control, analyze, and extract constructive suggestions from all facts varieties to aid them make greater insightful business selections faster.
DB2 Warehouse manager
IBM DB2 suggestions Integrator
DB2 OLAP Server
DB2 intelligent Miner
DB2 text Miner
DB2 Search Extender
DB2 UDB records Warehouse edition
DB2 cube Views
DB2 content administration
control content (unstructured statistics) equivalent to images, digital media, observe processing files, and web content material.
IBM DB2 content manager
IBM DB2 CommonStore
IBM DB2 CM OnDemand
IBM DB2 doc supervisor
IBM DB2 facts manager
DB2 tips Integration
collect allotted suggestions from heterogeneous environments. businesses view their information as if it changed into all living in one region.
IBM DB2 suggestions Integrator
IBM DiscoveryLink for life Sciences
DB2 and IMS equipment
Automate services to aid businesses in the reduction of administrative charges.
IMS & DB2 tools & Utilities
DB2 Multiplatform equipment
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I’ve just completed IBM DB2 for Linux, Unix and Windows (LUW) coverage here on Use The Index, Luke as preparation for an upcoming training I’m giving. This blog post describes the major differences I’ve found compared to the other databases I’m covering (Oracle, SQL Server, PostgreSQL and MySQL).Free & Easy
Well, let’s face it: it’s IBM software. It has a pretty long history. You would probably not expect that it is easy to install and configure, but in fact: it is. At least DB2 LUW Express-C 10.5 (LUW is for Linux, Unix and Windows, Express-C is the free community edition). That might be another surprise: there is a free community edition. It’s not open source, but it’s free as in free beer.No Easy Explain
The first problem I stumbled upon is that DB2 has no easy way to display an execution plan. No kidding. Here is what IBM says about it:
Explain a statement by prefixing it with explain plan for
This stores the execution plan in a set of tables in the database (you’ll need to create these tables first). This is pretty much like in Oracle.
Display a stored explain plan using db2exfmt
This is a command line tool, not something you can fall from an SQL prompt. To run this tool you’ll need shell access to a DB2 installation (e.g. on the server). That means, that you cannot use this tool over an regular database connection.
There is another command line tool (db2expln) that combines the two steps from above. Apart from the fact that this procedure is not exactly convenient, the output you get an ASCII art:Access Plan: ----------- Total Cost: 60528.3 Query Degree: 1 Rows RETURN ( 1) Cost I/O | 49534.9 ^HSJOIN ( 2) 60528.3 68095 /-----+------\ 49534.9 10000 TBSCAN TBSCAN ( 3) ( 4) 59833.6 687.72 67325 770 | | 1.00933e+06 10000 TABLE: DB2INST1 TABLE: DB2INST1 SALES EMPLOYEES Q2 Q1
Please note that this is just an excerpt—the full output of db2exfmt has 400 lines. Quite a lot information that you’ll hardly ever need. Even the information that you need all the time (the operations) is presented in a pretty unreadable way (IMHO). I’m particularly thankful that all the numbers you see above are not labeled—that’s really the icing that renders this “tool” totally useless for the occasional user.
However, according to the IBM documentation there is another way to display an execution plan: “Write your own queries against the explain tables.” And that’s exactly what I did: I wrote a view called last_explained that does exactly what it’s name suggest: it shows the execution plan of the last statement that was explained (in a non-useless formatting):Explain Plan ------------------------------------------------------------ ID | Operation | Rows | Cost 1 | RETURN | | 60528 2 | HSJOIN | 49535 of 10000 | 60528 3 | TBSCAN SALES | 49535 of 1009326 ( 4.91%) | 59833 4 | TBSCAN EMPLOYEES | 10000 of 10000 (100.00%) | 687 Predicate Information 2 - JOIN (Q2.SUBSIDIARY_ID = DECIMAL(Q1.SUBSIDIARY_ID, 10, 0)) JOIN (Q2.EMPLOYEE_ID = DECIMAL(Q1.EMPLOYEE_ID, 10, 0)) 3 - SARG ((CURRENT DATE - 6 MONTHS) < Q2.SALE_DATE) Explain plan by Markus Winand - NO WARRANTY http://use-the-index-luke.com/s/last_explained
I’m pretty sure many DB2 users will say that this presentation of the execution plan is confusing. And that’s OK. If you are used to the way IBM presents execution plans, just stick to what you are used to. However, I’m working with all kinds of databases and they all have a way to display the execution plan similar to the one shown above—for me this format is much more useful. Further, I’ve made a useful selection of data to display: the row count estimates and the predicate information.
You can get the source of the last_explained view from here or from GitHub (direct download). I’m serious about the no warranty part. Yet I’d like to know about problems you have with the view.Emulating Partial Indexes is Possible
Partial indexes are indexes not containing all table rows. They are useful in three cases:
To preserve space when the index is only useful for a very small fraction of the rows. Example: queue tables.
To establish a specific row order in presence of constant non-equality predicates. Example: WHERE x IN (1, 5, 9) ORDER BY y. An index like the following can be used to avoid a sort operation:CREATE INDEX … ON … (y) WHERE x IN (1, 5, 9)
To implement unique constraints on a subset of rows (e.g. only those WHERE active = 'Y').
However, DB2 doesn’t support a where clause for indexes like shown above. But DB2 has many Oracle-compatibility features, one of them is EXCLUDE NULL KEYS: “Specifies that an index entry is not created when all parts of the index key contain the null value.” This is actually the hard-wired behaviour in the Oracle database and it is commonly exploited to emulate partial indexes in the Oracle database.
Generally speaking, emulating partial indexes works by mapping all parts of the key (all indexed columns) to NULL for rows that should not end up in the index. As an example, let’s emulate this partial index in the Oracle database (DB2 is next):CREATE INDEX messages_todo ON messages (receiver) WHERE processed = 'N'
The solution presented in SQL Performance Explained uses a function to map the processed rows to NULL, otherwise the receiver value is passed through:CREATE OR REPLACE FUNCTION pi_processed(processed CHAR, receiver NUMBER) RETURN NUMBER DETERMINISTIC AS BEGIN IF processed IN ('N') THEN RETURN receiver; ELSE RETURN NULL; END IF; END; /
It’s a deterministic function and can thus be used in an Oracle function-based index. This won’t work with DB2, because DB2 doesn’t allow user defined-functions in index definitions. However, let’s first complete the Oracle example.CREATE INDEX messages_todo ON messages (pi_processed(processed, receiver));
This index has only rows WHERE processed IN ('N')—otherwise the function returns NULL which is not put in the index (there is no other column that could be non-NULL). Voilà: a partial index in the Oracle database.
To use this index, just use the pi_processed function in the where clause:SELECT message FROM messages WHERE pi_processed(processed, receiver) = ?
This is functionally equivalent to:SELECT message FROM messages WHERE processed = 'N' AND receiver = ?
So far, so ugly. If you go for this approach, you’d better need the partial index desperately.
To make this approach work in DB2 they need two components: (1) the EXCLUDE NULL KEYS clause (no-brainer); (2) a way to map processed rows to NULL without using a user-defined function so it can be used in a DB2 index.
Although the second one might seem to be hard, it is actually very simple: DB2 can do expression based indexing, just not on user-defined functions. The mapping they need can be accomplished with regular SQL expressions:CASE WHEN processed = 'N' THEN receiver ELSE NULL END
This implements the very same mapping as the pi_processed function above. Remember that CASE expressions are first class citizens in SQL—they can be used in DB2 index definitions (on LUW just since 10.5):CREATE INDEX messages_not_processed_pi ON messages (CASE WHEN processed = 'N' THEN receiver ELSE NULL END) EXCLUDE NULL KEYS;
This index uses the CASE expression to map not to be indexed rows to NULL and the EXCLUDE NULL KEYS feature to prevent those row from being stored in the index. Voilà: a partial index in DB2 LUW 10.5.
To use the index, just use the CASE expression in the where clause and check the execution plan:SELECT * FROM messages WHERE (CASE WHEN processed = 'N' THEN receiver ELSE NULL END) = ?; Explain Plan ------------------------------------------------------- ID | Operation | Rows | Cost 1 | RETURN | | 49686 2 | TBSCAN MESSAGES | 900 of 999999 ( .09%) | 49686 Predicate Information 2 - SARG (Q1.PROCESSED = 'N') SARG (Q1.RECEIVER = ?)
Oh, that’s a big disappointment: the optimizer didn’t take the index. It does a full table scan instead. What’s wrong?
If you have a very close look at the execution plan above, which I created with my last_explained view, you might see something suspicious.
Look at the predicate information. What happened to the CASE expression that they used in the query? The DB2 optimizer was smart enough rewrite the expression as WHERE processed = 'N' AND receiver = ?. Isn’t that great? Absolutely!…except that this smartness has just ruined my attempt to use the partial index. That’s what I meant when I said that CASE expressions are first class citizens in SQL: the database has a pretty good understanding what they do and can transform them.
We need a way to apply their magic NULL-mapping but they can’t use functions (can’t be indexed) nor can they use CASE expressions, because they are optimized away. Dead-end? Au contraire: it’s pretty easy to confuse an optimizer. All you need to do is to obfuscate the CASE expression so that the optimizer doesn’t transform it anymore. Adding zero to a numeric column is always my first attempt in such cases:CASE WHEN processed = 'N' THEN receiver + 0 ELSE NULL END
The CASE expression is essentially the same, I’ve just added zero to the RECEIVER column, which is numeric. If I use this expression in the index and the query, I get this execution plan:ID | Operation | Rows | Cost 1 | RETURN | | 13071 2 | FETCH MESSAGES | 40000 of 40000 | 13071 3 | RIDSCN | 40000 of 40000 | 1665 4 | SORT (UNQIUE) | 40000 of 40000 | 1665 5 | IXSCAN MESSAGES_NOT_PROCESSED_PI | 40000 of 999999 | 1646 Predicate Information 2 - SARG ( CASE WHEN (Q1.PROCESSED = 'N') THEN (Q1.RECEIVER + 0) ELSE NULL END = ?) 5 - START ( CASE WHEN (Q1.PROCESSED = 'N') THEN (Q1.RECEIVER + 0) ELSE NULL END = ?) STOP ( CASE WHEN (Q1.PROCESSED = 'N') THEN (Q1.RECEIVER + 0) ELSE NULL END = ?)
The partial index is used as intended. The CASE expression appears unchanged in the predicate information section.
I haven’t checked any other ways to emulate partial indexes in DB2 (e.g., using partitions like in more recent Oracle versions).
As always: just because you can do something doesn’t mean you should. This approach is so ugly—even more ugly than the Oracle workaround—that you must desperately need a partial index to justify this maintenance nightmare. Further it will stop working whenever the optimizer becomes smart enough to optimize +0 away. However, then you just need put an even more ugly obfuscation in there.INCLUDE Clause Only for Unique Indexes
With the INCLUDE clause you can add extra columns to an index for the sole purpose to allow in index-only scan when these columns are selected. I knew the INCLUDE clause before because SQL Server offers it too, but there are some differences:
In SQL Server INCLUDE columns are only added to the leaf nodes of the index—not in the root and branch nodes. This limits the impact on the B-tree’s depth when adding many or long columns to an index. This also allows to bypass some limitations (number of columns, total index row length, allowed data types). That doesn’t seem to be the case in DB2.
In DB2 the INCLUDE clause is only valid for unique indexes. It allows you to enforce the uniqueness of the key columns only—the INCLUDE columns are just not considered when checking for uniqueness. This is the same in SQL Server except that SQL Server supports INCLUDE columns on non-unique indexes too (to leverage the above-mentioned benefits).
The NULLS FIRST and NULLS LAST modifiers to the order by clause allow you to specify whether NULL values are considered as larger or smaller than non-NULL values during sorting. Strictly speaking, you must always specify the desired order when sorting nullable columns because the SQL standard doesn’t specify a default. As you can see in the following chart, the default order of NULL is indeed different across various databases:
Figure A.1. Database/Feature Matrix
In this chart, you can also see that DB2 doesn’t support NULLS FIRST or NULLS LAST—neither in the order by clause no in the index definition. However, note that this is a simplified statement. In fact, DB2 accepts NULLS FIRST and NULLS LAST when it is in line with the default NULLS order. In other words, ORDER BY col ASC NULLS FIRST is valid, but it doesn’t change the result—NULLS FIRST is anyways the default. Same is true for ORDER BY col DESC NULLS LAST—accepted, but doesn’t change anything. The other two combinations are not valid at all and yield a syntax error.SQL:2008 FETCH FIRST but not OFFSET
DB2 supports the fetch first … rows only clause for a while now—kind-of impressive considering it was “just” added with the SQL:2008 standard. However, DB2 doesn’t support the offset clause, which was introduced with the very same release of the SQL standard. Although it might look like an arbitrary omission, it is in fact a very wise move that I deeply respect. offset is the root of so much evil. In the next section, I’ll explain how to live without offset.
Side node: If you have code using offset that you cannot change, you can still activate the MySQL compatibility vector that makes limit and offset available in DB2. Funny enough, combining fetch first with offset is then still not possible (that would be standard compliant).Decent Row-Value Predicates Support
SQL row-values are multiple scalar values grouped together by braces to form a single logical value. IN-lists are a common use-case:WHERE (col_a, col_b) IN (SELECT col_a, col_b FROM…)
This is supported by pretty much every database. However, there is a second, hardly known use-case that has pretty poor support in today’s SQL databases: key-set pagination or offset-less pagination. Keyset pagination uses a where clause that basically says “I’ve seen everything up till here, just give me the next rows”. In the simplest case it looks like this:SELECT … FROM … WHERE time_stamp < ? ORDER BY time_stamp DESC FETCH FIRST 10 ROWS ONLY
Imagine you’ve already fetched a bunch of rows and need to get the next few ones. For that you’d use the time_stamp value of the last entry you’ve got for the bind value (?). The query then just return the rows from there on. But what if there are two rows with the very same time_stamp value? Then you need a tiebreaker: a second column—preferably a unique column—in the order by and where clauses that unambiguously marks the place till where you have the result. This is where row-value predicates come in:SELECT … FROM … WHERE (time_stamp, id) < (?, ?) ORDER BY time_stamp DESC, id DESC FETCH FIRST 10 ROWS ONLY
The order by clause is extended to make sure there is a well-defined order if there are equal time_stamp values. The where clause just selects what’s after the row specified by the time_stamp and id pair. It couldn’t be any simpler to express this selection criteria. Unfortunately, neither the Oracle database nor SQLite or SQL Server understand this syntax—even though it’s in the SQL standard since 1992! However, it is possible to apply the same logic without row-value predicates—but that’s rather inconvenient and easy to get wrong.
Even if a database understands the row-value predicate, it’s not necessarily understanding these predicates good enough to make proper use of indexes that support the order by clause. This is where MySQL fails—although it applies the logic correctly and delivers the right result, it does not use an index for that and is thus rather slow. In the end, DB2 LUW (since 10.1) and PostgreSQL (since 8.4) are the only two databases that support row-value predicates in the way it should be.
The fact that DB2 LUW has everything you need for convenient keyset pagination is also the reason why there is absolutely no reason to complain about the missing offset functionality. In fact I think that offset should not have been added to the SQL standard and I’m happy to see a vendor that resisted the urge to add it because its became part of the standard. Sometimes the standard is wrong—just sometimes, not very often ;) I can’t change the standard—all I can do is teaching how to do it right and start campaigns like #NoOffset.
Figure A.2. Database/Feature Matrix
If you like my way of explaining things, you’ll love my book “SQL Performance Explained”.
In-DepthIT Skills Poised To Pay
Advances in mobility, cloud, Big Data, DevOps and digital delivery, plus the shift to more rapid release cycles of software and services, are enabling businesses to become more agile. IT workforce research and analyst firm Foote Partners assesses the IT skills gap these trends are creating, their impact on salaries and where the demand for expertise is headed.
It's difficult to find an employer not struggling to come up with a unique tech staffing model that balances three things: the urgencies of new digital innovation strategies, combating ever deepening security threats, and keeping integrated systems and networks running smoothly and efficiently. The staffing challenge has moved well beyond simply having to choose between contingent workers, full-time tech professionals, and a variety of cloud computing and managed services options (Infrastructure as a Service [IaaS], Platform as a Service [PaaS], Software as a Server [SaaS]). Over the next few years, managers will continue to be tasked with leading a massive transformation of the technology and tech-business hybrid workforce to focus on quickly and predictably delivering a wide variety of operational and revenue-generating infrastructure solutions involving Internet of Things (IoT) products and services, Big Data advanced analytics, cybersecurity, and new mobile and cloud computing capabilities. Consequently, tech professionals and developers must align their skills and interests accordingly to help their employers meet existing and forthcoming digital transformation imperatives that are forcing deep, accelerated changes in technology organizations.
As cloud infrastructure becomes more capable of economically delivering performance and data at capacities and speeds once never imagined, organizations of all sizes are seeking tech professionals and developers with the proper skills, knowledge, and competencies to create more agile and responsive environments.
At the same time, they're grappling to ensure reliability of existing infrastructure where any amount of downtime is less acceptable than ever. Along with that is an onslaught of cybersecurity attacks occurring more frequently that have many IT managers saying they can't find adequate labor to help them protect their existing networks and endpoints. The latest reminder was in the spotlight following the most powerful denial of service (DoS) attack to date in late October resulting from unprotected endpoints on surveillance cameras. IoT, machine-to-machine communications and telematics have introduced new complexities ranging from the need to better secure the devices and the delivery points to which they connect. Meanwhile, the growing IoT landscape is unleashing an exponential flood of new data from hundreds of millions of devices, and organizations need to blend their IT and operational systems and find people with Big Data analytics skills to handle the cloud-based machine learning infrastructure that's now emerging. This generational shift in IT will put a premium on, or create a baseline requirement for, IT professionals willing to follow the money and see where their skills will be most applicable. Whether you're a manager looking to ensure your staff can deliver on these changes or an IT professional deciding on a career direction, workforce requirements and customer expectations are changing.
If you're in the latter camp, it's important to understand that the supply-and-demand aspect that drives compensation is also a moving target. IT pay has a long history of volatility and in 2016 they have seen even sharper swings in those premiums. Based on hiring patterns, the following overriding trends will drive market demand for IT professionals who have the experience, drive and skills to deliver solutions:
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