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SQL Server 2017 RTM, download, and cool “New Features” !!!

November 16, 2017 Leave a comment

 
On 2nd October 2017 Microsoft released the full & final General Available (GA) version of SQL Server 2017.

As announced earlier with the first CTP release, the new SQL Server 2017 will run both on Windows & Linux. Not only Linux, but it will be supported on Docker, and macOS (via Docker) too.
 

–> Download SQL Server 2017 RTM bits:

To download the SQL Server 2017 RTM you can Register and Download the Full version or Free evaluation version (180 days).
 

–> Download SSMS 17.x bits: download here
 

–> Check version and SQL build:

select @@version

Microsoft SQL Server 2017 (RTM) – 14.0.1000.169 (X64)
Aug 22 2017 17:04:49
Copyright (C) 2017 Microsoft Corporation
Enterprise Evaluation Edition (64-bit) on Windows 10 Enterprise 10.0 (Build 16299: ) (Hypervisor)

 

–> Here are few few “Top Features” added in SQL Server 2017:

1. SQL Server on Linux: Now run SQL Server on all platforms, Windows, Linux, Mac, docker.

2. New Graph Database: for modeling many-to-many relationships.

3. Resumable online index rebuild: Resumes an online index rebuild operation from where it stopped after a failure or a pause.

4. Adaptive query processing: feature optimizes strategies to your application workload in runtime condition.

5. IDENTITY_CACHE option: to avoid gaps in identity values in case of server restarts or failover.

6. SQL Server Machine Learning Services: which added Python support, with existing R language.

7. SSIS “Scale Out” and HA (High Availability): execute SSIS packages across multiple servers.

 

–> For a full list of various features already rolled out with previous CTP versions, please check my previous posts below:

– All new features added in SQL Server 2016 SP1, [link].

– New features added in:

   – SQL Server 2017 CTP 1.x.

   – SQL Server 2017 CTP 2.x.

   – SQL Server 2017 RC1
 

–> Videos on SQL Server 2017

Download & Install SQL Server 2017 & SSMS on Windows

Install SQL Server on Linux
 

–> References:

>> SQL Server 2017 official Page

>> Docs for SQL Server 2017


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Microsoft Azure Data Platform – September (2017) update

October 1, 2017 Leave a comment

 
Microsoft Azure updates curated from September-2017 on: Azure SQL DB/DW, HD Insight, Machine Learning (ML), Azure Data Lake (ADL), etc.

1. Run Hortonworks clusters and easily access Azure Data Lake

2. Microsoft at PostgresOpen 2017

3. Bot conversation history with Azure Cosmos DB

4. Azure Stream Analytics drives retail industry transformation with real-time insights

5. Try Azure CosmosDB for free

6. Using Azure Analysis Services with Azure Data Lake Store

7. Ask us anything about the new Azure Log Analytics language

8. Azure HDInsight training resources – Learn about big data using open source technologies

9. September updates to the Azure Analysis Services web designer

10. Azure Analysis Services now available in Azure Government

11. Diving deep into what’s new with Azure Machine Learning

12. Azure CosmosDB – database for serverless era

13. Announcing tools for the AI-driven digital transformation

14. Introducing SQL Vulnerability Assessment for Azure SQL Database and on-premises SQL Server!

15. Azure Data Factory – announcing new capabilities in public preview

16. Get insights into your Azure CosmosDB: partition heatmaps, OMS, and more

17. Run you Hive LLAP & PySpark Job in Visual Studio Code

18. Azure SQL Database and Data Warehouse VNET Service Endpoints public preview

19. General availability of HDInsight Interactive Query – blazing fast queries on hyper-scale data

20. Azure Log Analytics – meet our new query language

21. Paxata launches Self-Service Data Preparation on Azure HDInsight to accelerate Data Prep

22. Introducing HDInsight integration with Azure Log Analytics Preview

23. Azure Analysis Services adds firewall support

24. Monitoring Azure SQL Data Sync using OMS Log Analytics


SSMS Installation Error – This version of SSMS cannot be installed because a xyz version of SSMS 17.0 was detected

September 23, 2017 Leave a comment

 
So, today I tried to install SSMS 17.3 version, and got following error:

This version of ssms cannot be installed because a release candidate version of ssms 17.0 was detected.


 
This is because if you had installed SSMS previously and uninstalled it and because of some files were not cleaned up properly, you will get this kind of message while installing SSMS separately.

 
–> The solution is to remove the previously installed SSMS related files from the respective version folder:

Go to following folder and remove all folders and files: C:\Program Files (x86)\Microsoft SQL Server\140\Tools\
 

Now try installing SSMS again and you won’t get any error !!!


Categories: SQL Server Tags: ,

Microsoft Azure Data Platform – August (2017) update

September 1, 2017 Leave a comment

 
Microsoft Azure updates curated from August-2017 on: Azure SQL DB/DW, HD Insight, Machine Learning (ML), Azure Data Lake (ADL), etc.

1. Teradata Bolsters Analytics and Database capabilities for Azure

2. Migrating a Web App from ClearDB to Azure Database for MySQL

3. Online training for Azure Data Lake (ADL)

4. Introducing the #Azure CosmosDB Change Feed Processor Library

5. August updates to the Azure Analysis Services web designer

6. Bring Interactive Analytics to Azure HDInsight: Kyligence Analytics Platform enables sub-second query

7. Azure AD (AAD) authentication extensions for Azure SQL DB and SQL DW tools

8. Data Management Gateway (DMG) – High Availability and Scalability Preview

9. Using Azure Analysis Services over Azure SQL DB and DW

10. Azure Data Factory (ADF) July new features update

11. Replicated tables now in preview for Azure SQL Data Warehouse

12. On-premises data gateway support for Azure Analysis Services

13. Imanis Data – Cloud migration, backup for your big data apps on Azure HDInsight

14. Azure Database for MySQL and Azure Database for PostgreSQL availability in India

15. Perform advanced analytics on Application Insights data using Jupyter Notebook

16. Announcing the public preview of Azure Archive Blob Storage and Blob-Level Tiering

17. Azure Analysis Services web designer adds visual model editing to the preview

18. Debug Spark Code Running in Azure HDInsight from Your Desktop

19. Hortonworks extends IaaS offering on Azure with Cloudbreak

20. Announcing Azure Data Lake Store Capture Provider for Event Hubs Capture

21. Default compatibility level 140 for Azure SQL databases

22. Preview: SQL Transparent Data Encryption (TDE) with Bring Your Own Key support

23. Announcing Azure Blob storage events preview

24. Stream Processing Changes: Azure CosmosDB change feed + Apache Spark

25. Machine Learning based anomaly detection in Azure Stream Analytics

26. Announcing Default Encryption for Azure Blobs, Files, Table and Queue Storage

27. Automation of Azure Analysis Services with Service Principals and PowerShell


Sample 14 Interview Questions and Answers for Hadoop Administration Certified Professional

August 21, 2017 2 comments

 
Despite plenty of opportunities for Hadoop professionals, getting a good job may seem tedious. This is because cracking the Hadoop Admin Interview is a challenge and you must prepare for it to get a good job. At Koenig Solutions, candidates not only acquire Hadoop administration certification, but also get to prepare for the interview to start a challenging yet lucrative career.
 

–> This article enlists 14 important questions and answers commonly asked during Hadoop Administration jobs interviews:
 

Q1. What daemons are required to run a Hadoop cluster?
A. DataNode, NameNode, JobTracker and TaskTracker are required for the process.
 

Q2. How would you restart a NameNode?
A. The easiest way – click on stop-all.sh (to run the command to stop running shell script). After this, click start-all.sh to restart the NameNode.
 

Q3. What are different schedulers available in Hadoop?
A. a. COSHH: Considers the workload, cluster and the user heterogeneity for scheduling decisions.
    b. FIFO Scheduler: Doesn’t consider heterogeneity, but orders the job on the basis of arrival time in queue.
    c. Fair Sharing: Defines a pool for each user. Users can use their own pools to execute the job.
 

Q4. What Hadoop shell commands can be used to perform copy operation?
A. fs –copyToLocal
    fs –put
    fs –copyFromLocal.
 

Q5. What’s the purpose of jps command?
A. It is used to confirm whether the daemons running Hadoop cluster are working or not. The output of jps command reveals the status of DataNode, NameNode, Secondary NameNode, JobTracker and TaskTracker.
 

Q6. How many NameNodes can be run on single Hadoop cluster?
A. Only one.
 

Q7. What will happen when the NameNode on the Hadoop cluster is down?
A. Whenever the NameNode is down, the file system goes offline.
 

Q8. Detail crucial hardware considerations when deploying Hadoop in product environment.
A. Operating System: 64-bit operating system
    Capacity: Larger form factor (3.5”) disks allow more storage and costs less.
    Network: Two TOR switches per rack for better redundancy.
    Storage: To achieve high performance and scalability, it is better to design a Hadoop platform by moving the compute activity to data.
    Memory: System’s memory requirements vary based on the application.
    Computational Capacity: Can be determined by the total count of MapReduce slots existing across nodes within a Hadoop cluster.
 

Q9. Which command will you use to determine if the HDFS (Hadoop Distributed File System) is corrupt?
A. Hadoop FSCK (File System Check) command.
 

Q10. How a Hadoop job can be killed?
A. using command: Hadoop job –kill jobID.
 

Q11. Can filed be copied across multiple clusters? If yes, how?
A. Yes, it is possible using distributed copy. DistCP command can be used for intra or inter cluster copying.
 

Q12. Recommend the best Operating System to run Hadoop.
A. Ubuntu or Linux is the best. Although Windows can be used, it can lead to several problems.
 

Q13. How often the NameNode should be reformatted?
A. Never, as it can lead to complete data loss. It is formatted only once, in the beginning.
 

Q14. What are Hadoop configuration files and where are they located?
A. Hadoop has 3 different configuration files – mapred-site.xml, hdfs-site.xml, and core-site.xml – which are located in “conf” sub directory.
 

Checkout – Best Free Resources For Sharpening Your Skills In Hadoop. These are just a few questions, but you may come across several others, depending on your Hadoop
training.


 
Author Bio: Michael Warne is a tech blogger and an expert in Hadoop certification training. He has an experience of 5 years in the Hadoop professionals industry, and has worked as a certified Hadoop for top-notch IT companies.