Welcome!

Java IoT Authors: Pat Romanski, Zakia Bouachraoui, Yeshim Deniz, Liz McMillan, Elizabeth White

Related Topics: @DXWorldExpo, Java IoT, Industrial IoT, Microsoft Cloud, Machine Learning , @CloudExpo

@DXWorldExpo: Article

Five Big Data Features in SQL Server

Traditional RDBMS and Big Data

Traditional RDBMS & New Data Processing
Over the past two decades relational databases have been most successful in serving large scale OLTP and OLAP applications across enterprises. However, in the past couple of years with the advent of Big Data processing, especially for processing unstructured data coupled with the need for processing massive quantities of data, made the industry to look into Non RDBMS solutions. This has lead into the popularity of NOSQL databases as well as massively parallel processing frameworks.

However the traditional RDBMS were quick to react and added several Big Data features as part of their offering so that the enterprises with a heavy investment of traditional RDBMS can have the best of both worlds by properly leveraging these new features.

The following sections provide ideas about Big Data features in the popular SQL Server databases; a similar analysis will be performed against Oracle also in a later article.

1. Column Store Indexes
Column oriented databases differs from RDBMS like SQL Server such that they store data tables as sections of columns of data rather than rows of data. This has proven to be advantageous in certain situations where aggregates are computed over large number of similar data items.

Columnstore index, a feature in SQL Server 2012, groups and stores data for each column and then joins all the columns to complete the whole index. This differs from traditional indexes that group and store data for each row and then join all the rows to complete the whole index. For some types of queries, the SQL Server query processor can take advantage of the columnstore layout to significantly improve query execution times.

2. Hadoop Connectors
The SQL Server-Hadoop Connector is a Sqoop-based connector that facilitates efficient data transfer between SQL Server and Hadoop. Sqoop supports several databases including HDFS. This connector is bidirectional. You can import as well as export the data.

With SQL Server-Hadoop Connector, you can export data from:

  • delimited text files on HDFS to SQL Server
  • sequenceFiles on HDFS to SQL Server
  • hive Tables to tables in SQL Server

3. Full Text Search
There is no question about Sql Server's ability to process relational data and perform queries using JOINs and other traditional means. However much of the Big Data processing needs of the enterprise goes towards processing unstructured data which is generally in the form of textual data.

Full-Text Search in SQL Server lets users and applications run full-text queries against character-based data in SQL Server tables. Before you can run full-text queries on a table, the database administrator must create a full-text index on the table. The full-text index includes one or more character-based columns in the table.

After columns have been added to a full-text index, users and applications can run full-text queries on the text in the columns. These queries can search for any of the following:

  • One or more specific words or phrases (simple term)
  • A word or a phrase where the words begin with specified text (prefix term)
  • Inflectional forms of a specific word (generation term)
  • A word or phrase close to another word or phrase (proximity term)
  • Synonymous forms of a specific word (thesaurus)
  • Words or phrases using weighted values (weighted term)

4. Windows Azure SQL Federation/ Distributed Partition Views
Though not directly related to SQL Server, Windows Azure SQL databases are just the cloud version of the SQL server and this feature provides massively parallel processing capabilities on the database work load on cloud.

SQL Database with federation is a way to achieve greater scalability and performance from the database tier of your application through horizontal partition. One or more tables within a database with federation are split by row and portioned across multiple databases known as federation members. A federation is defined by a federation distribution scheme, or federation scheme. The federation scheme defines a federation distribution key, which determines the distribution of data to partitions within the federation.

The equivalent feature on the SQL Server database is known as DPV (Distributed Partition View). The primary SQL Server feature that allows transparent scale-out is the distributed partitioned view (DPV), sometimes referred to as federated view. In some cases, DPVs are used to help manage very large databases (VLDBs). Instead of creating and maintaining a multi-terabyte database, several smaller databases within the same instance are created.

5. Map Reduce Integration / Polybase
PolyBase is a breakthrough new technology on the data processing engine in SQL Server 2012 Parallel Data Warehouse designed as the simplest way to combine non-relational data and traditional relational data in your analysis.

Polybase unifies the relational and non-relational worlds at the query level. It provides the following Big Data processing features:

  • Integrated Query: Accepts a standard T-SQL query that joins tables containing a relational source with tables in a Hadoop cluster without needing to learn MapReduce.
  • Advanced query options: Apart from simple SELECT queries, users can perform JOINs and GROUP BYs on data in the Hadoop cluster.
  • Polybase is an exciting new technology and requires a separate coverage, but the above information just provides an introduction.

Summary
Traditional high performance RDBMS like SQL Server have their strengths. They are very strong in maintaining the data integrity and quality in the form of constraints, foreign keys and other validation mechanisms. They are also strong in transactional integrity by providing superior locking model, automatic dead lock resolution, etc. However initially they are not found to adjust to Big Data processing needs of enterprises.

With the enhancements in the products made by respective vendors , now databases like Sql Server have been enhanced with big data processing features and makes them the best candidate for enterprises looking for best of the breed features between traditional RDBMS and Big Data processing systems, and to leverage the best of existing investments.

More Stories By Srinivasan Sundara Rajan

Highly passionate about utilizing Digital Technologies to enable next generation enterprise. Believes in enterprise transformation through the Natives (Cloud Native & Mobile Native).

IoT & Smart Cities Stories
CloudEXPO | DevOpsSUMMIT | DXWorldEXPO are the world's most influential, independent events where Cloud Computing was coined and where technology buyers and vendors meet to experience and discuss the big picture of Digital Transformation and all of the strategies, tactics, and tools they need to realize their goals. Sponsors of DXWorldEXPO | CloudEXPO benefit from unmatched branding, profile building and lead generation opportunities.
All in Mobile is a place where we continually maximize their impact by fostering understanding, empathy, insights, creativity and joy. They believe that a truly useful and desirable mobile app doesn't need the brightest idea or the most advanced technology. A great product begins with understanding people. It's easy to think that customers will love your app, but can you justify it? They make sure your final app is something that users truly want and need. The only way to do this is by ...
Digital Transformation and Disruption, Amazon Style - What You Can Learn. Chris Kocher is a co-founder of Grey Heron, a management and strategic marketing consulting firm. He has 25+ years in both strategic and hands-on operating experience helping executives and investors build revenues and shareholder value. He has consulted with over 130 companies on innovating with new business models, product strategies and monetization. Chris has held management positions at HP and Symantec in addition to ...
DXWorldEXPO LLC announced today that Big Data Federation to Exhibit at the 22nd International CloudEXPO, colocated with DevOpsSUMMIT and DXWorldEXPO, November 12-13, 2018 in New York City. Big Data Federation, Inc. develops and applies artificial intelligence to predict financial and economic events that matter. The company uncovers patterns and precise drivers of performance and outcomes with the aid of machine-learning algorithms, big data, and fundamental analysis. Their products are deployed...
Dynatrace is an application performance management software company with products for the information technology departments and digital business owners of medium and large businesses. Building the Future of Monitoring with Artificial Intelligence. Today we can collect lots and lots of performance data. We build beautiful dashboards and even have fancy query languages to access and transform the data. Still performance data is a secret language only a couple of people understand. The more busine...
The challenges of aggregating data from consumer-oriented devices, such as wearable technologies and smart thermostats, are fairly well-understood. However, there are a new set of challenges for IoT devices that generate megabytes or gigabytes of data per second. Certainly, the infrastructure will have to change, as those volumes of data will likely overwhelm the available bandwidth for aggregating the data into a central repository. Ochandarena discusses a whole new way to think about your next...
Cell networks have the advantage of long-range communications, reaching an estimated 90% of the world. But cell networks such as 2G, 3G and LTE consume lots of power and were designed for connecting people. They are not optimized for low- or battery-powered devices or for IoT applications with infrequently transmitted data. Cell IoT modules that support narrow-band IoT and 4G cell networks will enable cell connectivity, device management, and app enablement for low-power wide-area network IoT. B...
The hierarchical architecture that distributes "compute" within the network specially at the edge can enable new services by harnessing emerging technologies. But Edge-Compute comes at increased cost that needs to be managed and potentially augmented by creative architecture solutions as there will always a catching-up with the capacity demands. Processing power in smartphones has enhanced YoY and there is increasingly spare compute capacity that can be potentially pooled. Uber has successfully ...
SYS-CON Events announced today that CrowdReviews.com has been named “Media Sponsor” of SYS-CON's 22nd International Cloud Expo, which will take place on June 5–7, 2018, at the Javits Center in New York City, NY. CrowdReviews.com is a transparent online platform for determining which products and services are the best based on the opinion of the crowd. The crowd consists of Internet users that have experienced products and services first-hand and have an interest in letting other potential buye...
When talking IoT we often focus on the devices, the sensors, the hardware itself. The new smart appliances, the new smart or self-driving cars (which are amalgamations of many ‘things'). When we are looking at the world of IoT, we should take a step back, look at the big picture. What value are these devices providing. IoT is not about the devices, its about the data consumed and generated. The devices are tools, mechanisms, conduits. This paper discusses the considerations when dealing with the...