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Articles with tag Big Data Rss

Search for any content tagged big data

   Items 1 to 20 of 42    Older >>
 

Stairway to U-SQL Level 6: U-SQL Indexes and Partition Schemes

Find out how to speed up your queries by indexing and partitioning data, U-SQL style.  Read more...
By Mike McQuillan 2016/08/10 | Source: SQLServerCentral.com | Category: u-sql
Rating: (not yet rated) |  Discuss |   Briefcase | 1,032 reads

Stairway to U-SQL Level 5: Databases and Tables in Azure Data Lakes with U-SQL

A guide to using databases, schemas and tables in Azure Data Lakes, using (of course!) U-SQL.  Read more...
By Mike McQuillan 2016/07/27 | Source: SQLServerCentral.com | Category: u-sql
Rating: (not yet rated) |  Discuss |   Briefcase | 338 reads

Stairway to U-SQL Level 4: U-SQL and Data Lake Tooling with Visual Studio

A guide to using Visual Studio to create U-SQL projects and scripts.  Read more...
By Mike McQuillan 2016/07/20 | Source: SQLServerCentral.com | Category: u-sql
Rating: |  Discuss |   Briefcase | 1,064 reads

Stairway to U-SQL Level 3: Processing Multiple Files With U-SQL

In part 3 of the U-SQL Stairway, we look at how multiple files can be processed with a single U-SQL statement.  Read more...
By Mike McQuillan 2016/07/06 | Source: SQLServerCentral.com | Category: u-sql
Rating: |  Discuss |   Briefcase | 1,596 reads

Stairway to U-SQL Level 2: Breakdown of a U-SQL Statement

Following on from our introduction to U-SQL, we take a look at how a typical U-SQL statement is constructed.  Read more...
By Mike McQuillan 2016/06/22 | Source: SQLServerCentral.com | Category: usql
Rating: |  Discuss |   Briefcase | 3,374 reads

Stairway to U-SQL Level 1: Introduction to U-SQL and Azure Data Lakes

An introductory guide to querying files in Azure Data Lakes using Microsoft's U-SQL language.  Read more...
By Mike McQuillan 2016/06/15 | Source: SQLServerCentral.com | Category: azure
Rating: |  Discuss |   Briefcase | 3,816 reads

The End of Big Data

What is next for big data? Some experts claim that data "volumes, velocity, variety and veracity" will only increase over time, requiring more data storage, faster machines and more sophisticated analysis tools. However, this is short-sighted, and does not take into account how data degrades over time. Analysis of historical data will always be with us, but generation of the most useful analyses will be done with data we already have. To adapt, most organizations must grow and mature their analytical environments. Lockwood Lyon shares the steps they must take to prepare for the transition.  Read more...
By Additional Articles 2016/06/03 | Source: Database Journal | Category: big data
Rating: (not yet rated)  Rate this |   Briefcase | 10,414 reads

Big Data Architecture

The next few years will be critical for the information technology staff, as they attempt to integrate and manage multiple, diverse hardware and software platforms. In this article, Lockwood Lyon addresses how to meet this need, as users demand greater ability to analyze ever-growing mountains of data, and IT attempts to keep costs down.  Read more...
By Additional Articles 2016/05/09 | Source: Database Journal | Category: big data
Rating: (not yet rated)  Rate this |   Briefcase | 5,192 reads

Integrating Big Data Applications into Operational Environments

Integrating big data appliance solutions into a data warehouse requires preparation and forethought. DBAs and business data consumers must work together both to address the implementation issues above and to meet the needs of multiple business data consumers. Lockwood Lyon discusses the topic.  Read more...
By Additional Articles 2015/12/11 | Source: Database Journal | Category: big data
Rating: (not yet rated)  Rate this |   Briefcase | 4,707 reads

Hadoop many flavors of SQL

What are the most popular SQL implementations for Hadoop? How different are they from T-SQL?  Read more...
By Daniel Klionsky 2015/11/24 | Source: SQLServerCentral.com | Category: big data
Rating: |  Discuss |   Briefcase | 4,691 reads

Navigating Hadoop Resources

Learn where to get the latest installation and learning resources for the ever-evolving components of Hadoop ecosystem and how those components may complement Microsoft SQL Server common everyday tasks.  Read more...
By Daniel Klionsky 2015/10/01 | Source: SQLServerCentral.com | Category: big data
Rating: |  Discuss |   Briefcase | 3,720 reads

Big Data Problems

Big Data brings with it a number of challenges.  Read more...
By Steve Jones 2015/09/10 | Source: SQLServerCentral.com | Category: editorial
Rating: (not yet rated) |  Discuss |   Briefcase | 261 reads

Hadoop For SQL Folks: Architecture, MapReduce and Powering IoT

As the de-facto big data processing and analytics engine, the Hadoop ecosystem is also leading the way in powering Internet of Things (IOT)  Read more...
By Frank A. Banin 2015/08/06 | Source: SQLServerCentral.com | Category: hadoop
Rating: |  Discuss |   Briefcase | 8,177 reads

Big Data for SQL folks: The Technologies (Part II)

SQL Server Big Data. Is the end Near for ETL as we know is? Will RDBMs be obsolete? What is NoSQL? What is Hadoop? Big Data-the whole story.  Read more...
By Frank A. Banin 2015/05/29 (first published: 2013/11/21) | Source: SQLServerCentral.com | Category: business intelligence
Rating: |  Discuss |   Briefcase | 13,188 reads

Big Data for SQL folks: The Technologies (Part I)

Will RDBMs be obsolete? Should Data Professionals care about Big Data technologies? What is NoSQL? What is Hadoop? Big Data-the whole story.  Read more...
By Frank A. Banin 2015/05/22 (first published: 2013/06/26) | Source: SQLServerCentral.com | Category: big data
Rating: |  Discuss |   Briefcase | 25,711 reads

Disaster Recovery and Big Data

Big data applications are not usually considered mission-critical: while they support sales and marketing decisions, they do not significantly affect core operations such as customer accounts, orders, inventory, and shipping. Why, then, are major IT organizations moving quickly to incorporating big data in their disaster recovery plans?  Read more...
By Additional Articles 2015/04/29 | Source: Database Journal | Category: disaster recovery (dr)
Rating:  Rate this |   Briefcase | 8,442 reads

Exploding the Myths of Big Data

As big data application success stories (and failures) have appeared in the news and technical publications, several myths have emerged about big data. This article explores a few of the more significant myths, and how they may negatively affect your own big data implementation.  Read more...
By Additional Articles 2015/03/25 | Source: Database Journal | Category: big data
Rating: (not yet rated)  Rate this |   Briefcase | 11,238 reads

Another Look at Tuning Big Data Queries

Most large organizations have implemented one or more big data applications. As more data accumulates internal users and analysts execute more reports and forecasts, which leads to additional queries and analysis, and more reporting. The cycle continues: data growth leads to better analysis, which generates more reporting. Eventually the big data application swells with so much data and querying that performance suffers.   Read more...
By Additional Articles 2015/02/26 | Source: Database Journal | Category: big data
Rating:  Rate this |   Briefcase | 10,747 reads

Preparing Your Enterprise for Big Data

Big data applications are now fairly commonplace in large organizations. It is, however, difficult to simply ‘drop’ these applications into an existing IT infrastructure and expect to run smoothly. In addition to energy and cooling requirements for new hardware to support the new big data application, other IT areas need to prepare.  Read more...
By Additional Articles 2014/10/27 | Source: Database Journal | Category: big data
Rating: (not yet rated)  Rate this |   Briefcase | 8,961 reads

Integrating Big Data into the Enterprise Data Warehouse

Big Data implementations are more than just lots of data. Of equal importance is the analytics software used to query the data. Analyzing business data using advanced analytics is common, especially in companies that already have an enterprise data warehouse. It is therefore only natural that your big data application must be integrated with the existing warehouse.  Read more...
By Additional Articles 2014/09/26 | Source: Database Journal | Category: big data
Rating: (not yet rated)  Rate this |   Briefcase | 10,077 reads
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