Big Data, Database, ML and AI Spending Trends: What You Need to Know

Psst...hey buddy, are you an IT professional? Maybe interested in big data, databases, data warehouses, BI, machine learning, and AI? Planning to invest this year? Have I got a sweet deal for you! I can tell show you what your peers are planning. Top trends. Surprise insights. Hot stuff, but in the sense of interesting, not stolen. Check out this little number:

61%

Topics: Big Data Data Management database artificial intelligence

ESG Video Capsule: Upcoming Research on Database Market Trends

Preview the topics of ESG's upcoming research project examining who the buyers and influencers of database decisions are and what drives their evaluation by watching this ESG Video Capsule:

Topics: Big Data Data Management database

The Delta-V Awards: Databases

ESG's "Delta-V" awards recognize the top 20 companies that made an impact in big data and analytics in 2015. Here are the ones to applaud for their success in the category of Databases. Though there are way more than 20 databases on the market, we have only 20 spots for all of big data and analytics, so I've picked exactly two offerings that I think stood out this year.

To learn a little more about the awards, go to this post.

Topics: Microsoft Analytics database

A Dell & EMC Merger = A Big Data & Analytics Powerhouse

So by now you have probably heard that Dell is planning on acquiring EMC, while leaving VMware as a publicly traded entity. Hot stuff indeed. This has big implications for the IT market as a whole, but I'm most interested in how it sets up change for the big data, database, and analytics space. A few immediate opportunities and a risk are in store:

Topics: EMC Analytics Big Data Dell database

Targeting the Best of Both Worlds with Next-generation SQL Databases

Conventional relational databases and recently-developed NoSQL databases have led some enterprises to an impasse. They want to scale the systems that are handling their data. However, an RDBMS used to guarantee transaction integrity is difficult to expand. NoSQL systems, although scalable, typically do not offer full transaction integrity via the ACID properties discussed in earlier posts. The latest solution in the SQL/NoSQL saga—next-generation SQL databases—may have the answer.

Topics: Big Data Data Management database rdbms NoSQL SQL ESG Lab

NoSQL - The Great Escape from SQL and Normalization

For the last decade or so, data and data structures have been moving at the speed of the web. They change rapidly to keep pace with end-users and markets that are in constant flux. The data model is volatile and will continue to be as more and more unstructured data (images, videos, social media content, online purchase histories, and more) is generated. The solution of the pre-Internet era, meaning the RDBMS, can’t keep up. Enter the NoSQL database—a solution for handling data with highly variable formats in massive quantities at lightning speeds.

Topics: Big Data Data Management database rdbms NoSQL SQL ESG Lab

Why Won’t the RDBMS Go Away?

The relational database management system was a breakthrough when it first appeared about 40 years ago. A relational database puts power into a user’s hands. Few assumptions are needed about how data is related or how it is to be extracted. Data can then be viewed in a variety of ways, each one illustrating different connections or correlations. This power, history, and a little user inertia have led to the RDBMS being implanted and used in practically every sector of business today. Well-known RDBMS product examples are IBM DB2, Microsoft SQL Server, and Oracle databases.

Topics: Big Data Data Management database rdbms NoSQL SQL ESG Lab

Today’s Database Landscape at a 50,000 Foot Level

We all know the drill—data is exploding in size, but it’s not just the volume of data that is wreaking havoc on organizations. It’s how quickly it’s growing, how many different forms it can take, and how it’s constantly changing. And that’s just scratching the surface. How can the potential of data truly be harnessed? The database technologies for organizing the data that we generate and manipulate continue to morph and multiply. The hugely successful relational database management systems (RDBMSs) continue to soldier on using principles now over 40 years old, while newer database technologies have come along and been widely adopted to address specific needs in the data storage, management, and analytics space. Over the next few weeks, I’ll be going through the evolution of database technology at a 50,000 foot level to highlight the old and the new, how they’re used today, and what vendors to keep an eye on.

Topics: Big Data Data Management database rdbms NoSQL SQL ESG Lab

The Great In-Memory Database Debate

Recently the Hive hosted a panel discussion on the pros and cons of various approaches to in-memory databases. Yours truly served as moderator/referee as Oracle, MemSQL, IBM, Aerospike, and Pivotal sent their biggest brains. Check out who was on our eminent panel here. 

Topics: database In-Memory

Microsoft Invites You to Spark IT Up

Who builds the world’s most popular tool for analyzing data? Did you say Microsoft? Good. For most anyone in business, Microsoft Excel is where we get started around business intelligence, though we may not typically call it that. From this humble beginning, many graduate on to much more sophisticated solutions. What not everyone realizes is that Microsoft is capable of supporting you even as you go to much greater depth. At the recent Ignite event in Chicago, Microsoft made the case that day will improve worker productivity, especially around data insights and collaboration, with an extremely deep portfolio of complementary technologies.

Topics: Microsoft Analytics Big Data cloud database business intelligence machine learning