Featured Post

8 Ways to Optimize AWS Glue Jobs in a Nutshell

-
Image
  Improving the performance of AWS Glue jobs involves several strategies that target different aspects of the ETL (Extract, Transform, Load) process. Here are some key practices. 1. Optimize Job Scripts Partitioning : Ensure your data is properly partitioned. Partitioning divides your data into manageable chunks, allowing parallel processing and reducing the amount of data scanned. Filtering : Apply pushdown predicates to filter data early in the ETL process, reducing the amount of data processed downstream. Compression : Use compressed file formats (e.g., Parquet, ORC) for your data sources and sinks. These formats not only reduce storage costs but also improve I/O performance. Optimize Transformations : Minimize the number of transformations and actions in your script. Combine transformations where possible and use DataFrame APIs which are optimized for performance. 2. Use Appropriate Data Formats Parquet and ORC : These columnar formats are efficient for storage and querying, signif
Post a Comment

The Essential Guide to Blockchain Terminology

-
Bitcoin was the first project developed by using blockchain. My post is to share Blockchain keywords by using an example of Bitcoin.

blockchain glossary


Let us ready...

Blockchain is new technology. Understanding its principles makes you helpful to apply in your projects. 

Initially, the purpose of Blockchain development was to carry mining. In general, mining means search and find value. Usually, mining processes are two types. Those are data mining and bitcoin mining.

Blockchain Glossary

  1. Blockchain - only blocks involved. The data which was finalized stored in blocks.
  2. Bitcoin Ledger - It is a public ledger
  3. Ledger or Blockchain - The chain of blocks
  4. Functions of Blockchain - It validates each transaction, Keeps track, and verifies ownership
  5. Double Spending- It prevents duplicating the Cryptocurrency for using next time.
  6. Consensus mechanism - It is also called PoW (proof of work). This mechanism avoids double-spending
  7. Group of Transactions - When a new group of transactions created, those will be added to the blockchain.
  8. Hash - Group of transactions created a Hash. This hash will be stored along with a group of transactions in the Blockchain. Hashing is the top security mechanism in the blockchain.
  9. Mining - It doesn't create Bitcoins and alter or modify blockchain. The miners will be rewarded with Bitcoins

Blockchain types


Here are three types of Blockchains

Private blockchains

  • Private blockchains are great for developers because they allow them to test ideas without using cryptocurrency. The developers’ ideas can remain a secret as well because the data has not been published publicly.
  • Large institutions can capitalize on the security and permanence of blockchain technology without their transactions being public the way they are in traditional blockchains.

    Public Blockchains

    • Public blockchains are available to the general public. An example is buying an art piece from a vendor located in another country.

    Hybrid Blockchains

    • These are a combination of public and private.

    More Resources

    Comments

    Post a Comment

    Thanks for your message. We will get back you.

    Popular posts from this blog

    How to Fix datetime Import Error in Python Quickly

    -
    Image
    Here's a quick resolution for import datetime Python error . The reason is your .py python script name and datetime  are the same. I'll show you how this error happens and its resolution.   Here's the Resolution for ImportError I've created a script called 'datetime.py.' to check whether the minute value is 'odd' or not. During the import of my python script, I got the import error cannot import name datetime. My Script: datetime.py My script's intention is to find whether the minute value is odd or not. Python Logic from datetime import datetime odds = [ 1 , 3 , 5 , 7 , 9 , 11 , 13 , 15 , 17 , 19 , 21 , 23 , 25 , 27 , 29 , 31 , 33 , 35 , 37 , 39 , 41 , 43 , 45 , 47 , 49 , 51 , 53 , 55 , 57 , 59 ] right_this_minute = datetime.today().minute if right_this_minute in odds: print ( "This minute seems a little odd." ) else : print ( "Not an odd minute." ) ImportError I have imported my datetime.py from Linux. It gives an error
    Read more

    How to Check Kafka Available Brokers

    -
    Image
    Here's the command to check the list of brokers present in a Kafka Cluster. You can say the Broker is the heart of the Kafka cluster. In simple terms, it works as a process. The main function is to receive messages from publishers and gives permission to access messages by consumers. How to Check Available Brokers in Kafka Here is the command: linux$  ./zookeeper-shell.sh zookeeper-IPaddress:2181 | "ls /brokers/ids" Just use the above command to get the number of brokers present in your host (Kafka Cluster). What is Default Broker-id in Kafka  The default broker id is -1 . When you create a new broker, it adds to -1. Then, it gives a new broker id. The broker ids will be generated from  reserved.broker.max.id + 1. Types of broker ids. Use assigned Zookeeper generated broker id. According to Wiki: Kafka runs on a cluster of one or more servers (called brokers), and the partitions of all topics are distributed across the cluster nodes.  Additionally, partitions are replicat
    Read more

    SQL Query: 3 Methods for Calculating Cumulative SUM

    -
    Image
    SQL provides various constructs for calculating cumulative sums, offering flexibility and efficiency in data analysis. In this article, we explore three distinct SQL queries that facilitate the computation of cumulative sums. Each query leverages different SQL constructs to achieve the desired outcome, catering to diverse analytical needs and preferences. Using Window Functions (e.g., PostgreSQL, SQL Server, Oracle) SELECT id, value, SUM(value) OVER (ORDER BY id) AS cumulative_sum  FROM your_table; This query uses the SUM() window function with the OVER clause to calculate the cumulative sum of the value column ordered by the id column. Using Subqueries (e.g., MySQL, SQLite): SELECT t1.id, t1.value, SUM(t2.value) AS cumulative_sum FROM your_table t1 JOIN your_table t2 ON t1.id >= t2.id GROUP BY t1.id, t1.value ORDER BY t1.id; This query uses a self-join to calculate the cumulative sum. It joins the table with itself, matching rows where the id in the first table is greater than or
    Read more