When same was highlighted, billing magically reduced by 500 as a discount.
1. It's not a discount, it's wrong billing.
2. So why did you reduce 500 if nothing was done?
No clear transparency in billing.
@gomechanicindia overall one traumatic experience in terms of service,support
service claimed to be done without consent or estimation approval.The billing claims to have replaced engine oil,oil filter, spark plugs checked. It's an ELECTRIC CAR!!!
@Mahindra_Auto unless Reva has these that I might not know of
Service buddy just says vehicle on the way throughout 3 days when that was never the case. Escalation manager unreachable, no call back!! Very traumatic experience. @gomechanicindia tagging @autocarindiamag for outreach so noone else faces a similar issue.
Pathetic response/escalation team and very bad service. My electric car was picked up and not delivered even after 3 days. When I went to the workshop to pick it up, the mechanics claimed it was done on day 1 but no one co-ordinated. Very unethical service @gomechanicindia
Informed about a probable faulty-dangling wire opp bda complex Nagarbhavi. complained to bescom and very happy and delighted by the immediate response and check performed by @NammaBESCOM within 10 mins of complain.kudos!! #nagarbhavibescom
Turned out to be a faulty internet wire
Announcing our Call for Speakers for #DevfestKol2023. This is an opportunity to become a speaker at our conference and reach the maximum number of developers to share your experience and knowledge to inspire them🎙️
https://t.co/OBymmwmZxa
#devfest#googlefordevelopers#google
Want to be a Remote Software Engineer Search Suite (📍San Francisco, California, United States) at @sourcegraph? #remotework#remotejobs#wfh 👇 https://t.co/fhJlezkvdH
Leaders from two regulated companies explain how they’re approaching artificial intelligence, including frontend use cases for AI. https://t.co/7OQIcyWazI
Database Indexing Explained.
Most databases require some form of indexing to keep up with performance benchmarks.
Searching through a database is much simpler when the data is correctly indexed, which improves the system's overall performance.
A database index is a lot like the index on the back of a book. It saves you time and energy by allowing you to easily find what you're looking for without having to flick through every page.
Database indexes work the same way. An index is a key-value pair where the key is used to search for data instead of the corresponding indexed column(s), and the value is a pointer to the relevant row(s) in the table.
To get the most out of your database, you should use the right index type for the job.
The B-tree is one of the most commonly used indexing structures where keys are hierarchically sorted. When searching data, the tree is traversed down to the leaf node that contains the appropriate key and pointer to the relevant rows in the table. B-tree is most commonly used because of its efficiency in storing and searching through ordered data. Their balanced structure means that all keys can be accessed in the same number of steps, making performance consistent.
Hash indexes are best used when you are searching for an exact value match. The key component of a hash index is the hash function. When searching for a specific value, the search value is passed through a hash function which returns a hash value. That hash value tells the database where the key and pointers are located in the hash table.
Bitmap indexing is used for columns with few unique values. Each bitmap represents a unique value. A bitmap indicates the presence or absence of a value in a dataset, using 1’s & 0’s. For existing values, the position of the 1 in the bitmap shows the location of the row in the table. Bitmap indexes are very effective in handling complex queries where multiple columns are used.
When you are indexing a table, make sure to carefully select the columns to be indexed based on the most frequently used columns in WHERE clauses.
A composite index may be used when multiple columns are often used in a WHERE clause together. With a composite index, a combination of two or more columns are used to create a concatenated key. The keys are then stored based on the index strategy, such as the options mentioned above.
Indexing can be a double-edged sword. It significantly speeds up queries, but it also takes up storage space and adds overhead to operations. Balancing performance & optimal storage is crucial to get the most out of your database without introducing inefficiencies.
Navigating "corporate speak" isn't easy.
Here's a helpful guide I put together:
"Let me check with my team" = No
"Possibly" = No
"On my roadmap" = Not happening
"This will be done in Q4" = This will be done in Q2 next year
"Disagree and commit" = I hate you
"Per my last email" = Try reading, for once in your life
"Challenging landscape" = We're going out of business, quickly
"Digital transformation" = We're going out of business, slowly
"Let's circle back" = We'll never speak of this again
"Take it offline" = We'll never speak of this again
"30,000 foot view" = I don't know what I'm saying
"Low hanging fruit" = Easy promotion
"Open up the kimono" = HR violation
"We use AI" = We don't use AI
"We use machine learning" = We don't use machine learning
"All hands on deck" = Let's actually try for once, please
I interviewed over 70 front-end engineers in the last 2 years.
I created a new Notion "Learn Frontend Development Pack" that contains a learning path & projects to become a frontend dev with only free resources.
RT and reply with "free" and I'll DM it to you.
(need to follow)
"The power to disrupt the customer experience is no longer just the domain of the FAANGs: the Facebooks, Apples, Amazons, Netflixes, and Googles... Instead, it is within reach of almost any organization that wants to disrupt the market."
–The Unicorn Project, by Gene Kim