Tags
Language
Tags
July 2025
Su Mo Tu We Th Fr Sa
29 30 1 2 3 4 5
6 7 8 9 10 11 12
13 14 15 16 17 18 19
20 21 22 23 24 25 26
27 28 29 30 31 1 2
    Attention❗ To save your time, in order to download anything on this site, you must be registered 👉 HERE. If you do not have a registration yet, it is better to do it right away. ✌

    https://sophisticatedspectra.com/article/drosia-serenity-a-modern-oasis-in-the-heart-of-larnaca.2521391.html

    DROSIA SERENITY
    A Premium Residential Project in the Heart of Drosia, Larnaca

    ONLY TWO FLATS REMAIN!

    Modern and impressive architectural design with high-quality finishes Spacious 2-bedroom apartments with two verandas and smart layouts Penthouse units with private rooftop gardens of up to 63 m² Private covered parking for each apartment Exceptionally quiet location just 5–8 minutes from the marina, Finikoudes Beach, Metropolis Mall, and city center Quick access to all major routes and the highway Boutique-style building with only 8 apartments High-spec technical features including A/C provisions, solar water heater, and photovoltaic system setup.
    Drosia Serenity is not only an architectural gem but also a highly attractive investment opportunity. Located in the desirable residential area of Drosia, Larnaca, this modern development offers 5–7% annual rental yield, making it an ideal choice for investors seeking stable and lucrative returns in Cyprus' dynamic real estate market. Feel free to check the location on Google Maps.
    Whether for living or investment, this is a rare opportunity in a strategic and desirable location.

    Pluralsight - SQL on Hadoop - Analyzing Big Data with Hive

    Posted By: house23
    Pluralsight - SQL on Hadoop - Analyzing Big Data with Hive

    Pluralsight - SQL on Hadoop - Analyzing Big Data with Hive
    WMV | WMV3 40kbps | English | 1024x768 | 15fps | 4h 16mins | WMA2 stereo 128kbps | 407 MB
    Genre: Video Training

    This course will teach you the Hive query language and how to apply it to solve common Big Data problems. This includes an introduction to distributed computing, Hadoop, and MapReduce fundamentals and the latest features released with Hive 0.11. From developer to analyst, this course tackles a few big questions about big data: Why does this technology exist and why do I need it? How can I get the best out of it utilizing something familiar like SQL and how does this all fit together in an ever-evolving eco-system? This course will introduce the concepts of distributed computing, Hadoop and MapReduce and then goes into great detail into Apache Hive which is an SQL-like query language that can be used with Hadoop and NoSQL databases like HBase and Cassandra. The course presents some challenges you might experience solving real production problems and how Hive makes that task easier to accomplish.

    │ sql-hadoop-analyzing-big-data-hive.zip

    ├───01. Introduction to Hadoop
    │ 01. Introduction.wmv
    │ 02. Motivation for Hadoop.wmv
    │ 03. Distributed Computing Challenges.wmv
    │ 04. Hadoop File System (HDFS).wmv
    │ 05. MapReduce.wmv
    │ 06. Word Count Example.wmv
    │ 07. Demo Basic Hadoop Commands and Environment Setup.wmv
    │ 08. Summary.wmv

    ├───02. Introduction to Hive
    │ 01. Introduction.wmv
    │ 02. O£Hive Motivation.wmv
    │ 03. Hive Architecture.wmv
    │ 04. Hive Principles - Schema on Read.wmv
    │ 05. Hive Principles - The Hive Warehouse.wmv
    │ 06. Hive Query Language Basics - SELECT and Sub Queries.wmv
    │ 07. Creating Databases and Tables with HiveQL.wmv
    │ 08. Demo Working with Hive Tables and Loading Data into Warehouse.wmv
    │ 09. Loading Data - Hive Managed and External Tables.wmv
    │ 10. Demo External Tables and Create Table Alternatives.wmv
    │ 11. Summary.wmv

    ├───03. Hive Query Language
    │ 01. Introduction.wmv
    │ 02. Data Types.wmv
    │ 03. Type Conversions.wmv
    │ 04. Managed Partitioned Tables.wmv
    │ 05. External Partitioned Tables.wmv
    │ 06. Demo Table Partitioning.wmv
    │ 07. Multi Inserts and Dynamic Partition Inserts.wmv
    │ 08. Demo Loading Data Use Case.wmv
    │ 09. Data Retrieval - Group By and Functions.wmv
    │ 10. Sorting and Controlling Data Flow.wmv
    │ 11. The CLI and Variable Substitution.wmv
    │ 12. Summary.wmv

    ├───04. Advanced HiveQL
    │ 01. Introduction.wmv
    │ 02. Bucketing.wmv
    │ 03. Bucket and Block Sampling.wmv
    │ 04. Joins.wmv
    │ 05. Joins in Depth and Join Optimizations.wmv
    │ 06. Map-side Joins for Bucketed Tables.wmv
    │ 07. Distributed Cache.wmv
    │ 08. UDTFs, Explode and Lateral View.wmv
    │ 09. Demo Extending Hive - Creating Your own UDF.wmv
    │ 10. Demo Extending Hive - Compiling and Testing Custom UDF.wmv
    │ 11. Extending Hive - Custom UDF Recap.wmv
    │ 12. Demo Hive Initialization File.wmv
    │ 13. Accessing The Distributed Cache.wmv
    │ 14. Hadoop Streaming and Transform().wmv
    │ 15. Windowing and Analytics Functions.wmv
    │ 16. Demo Putting it All Together Using Transform.wmv
    │ 17. Demo Analytics Functions.wmv
    │ 18. Demo Ranking Functions.wmv
    │ 19. Summary.wmv

    └───05. Storage and The Eco-System
    01. Create Table Statement - File Formats and SerDes.wmv
    02. HCatalog.wmv
    03. Sqoop.wmv
    04. DistCP.wmv
    05. Hadoop Eco-System Projects.wmv
    06. References and Resources.wmv
    07. Summary.wmv


    Format : Windows Media
    File size : 14.4 MiB
    Duration : 9mn 48s
    Overall bit rate mode : Variable
    Overall bit rate : 205 Kbps
    Maximum Overall bit rate : 447 Kbps
    Encoded date : UTC 2013-08-22 21:53:43.355
    Video #2
    ID : 2
    Format : VC-1
    Format profile : MP@HL
    Codec ID : WMV3
    Codec ID/Info : Windows Media Video 9
    Codec ID/Hint : WMV3
    Description of the codec : Windows Media Video 9
    Duration : 9mn 48s
    Bit rate mode : Variable
    Bit rate : 40.2 Kbps
    Width : 1 024 pixels
    Height : 768 pixels
    Display aspect ratio : 4:3
    Frame rate : 15.000 fps
    Color space : YUV
    Chroma subsampling : 4:2:0
    Bit depth : 8 bits
    Scan type : Progressive
    Compression mode : Lossy
    Bits/(Pixel*Frame) : 0.003
    Stream size : 2.82 MiB (20%)
    Language : English (US)
    Audio #1
    ID : 1
    Format : WMA
    Format version : Version 2
    Codec ID : 161
    Codec ID/Info : Windows Media Audio
    Description of the codec : Windows Media Audio 9.2 - 128 kbps, 44 kHz, stereo (A/V) 1-pass CBR
    Duration : 9mn 48s
    Bit rate mode : Constant
    Bit rate : 128 Kbps
    Channel(s) : 2 channels
    Sampling rate : 44.1 KHz
    Bit depth : 16 bits
    Stream size : 8.98 MiB (63%)
    Language : English (US)


    Pluralsight - SQL on Hadoop - Analyzing Big Data with Hive

    Pluralsight - SQL on Hadoop - Analyzing Big Data with Hive

    Pluralsight - SQL on Hadoop - Analyzing Big Data with Hive


    No mirrors please