#SQL Queries

[tpointtech1]

Essential SQL Queries to Boost Your Data Skills

[kamicorner-01]

DuckDB: Unraveling the Feathers of a Revolutionary Analytical Database

In the fast-paced world of data management and analytics, one name has been gaining traction for its feather-light performance and versatile capabilities – DuckDB. This blog post takes you on a journey into the realm of DuckDB, exploring its origins, unique features, and the impact it is making on the landscape of analytical databases. The Birth of DuckDB: Born out of the need for a…

[rajaniesh]

Unlocking the Full Power of Apache Spark 3.4 for Databricks Runtime!

You've dabbled in the magic of Apache Spark 3.4 with my previous blog "Exploring Apache Spark 3.4 Features for Databricks Runtime", where we journeyed through 8 game-changing features

You’ve dabbled in the magic of Apache Spark 3.4 with my previous blog “Exploring Apache Spark 3.4 Features for Databricks Runtime“, where we journeyed through 8 game-changing features—from the revolutionary Spark Connect to the nifty tricks of constructing parameterized SQL queries. But guess what? We’ve only scratched the surface! In this sequel, we’re diving deeper into the treasure trove of…

[tectute]

SQL queries for beginners

[willalraand]

Hear me out

A The Beholding ritual but it’s just some guy given some enormous spooky database and they have to come up with as many useful sql views for it

(Doing my databases homework for hours and listening to TMA at the same time does interesting things to my mind and it full on feels like some ritual)

[peachybeesplease]

praying to the patron saint of fake it til you make it at a job you're only halfway qualified for (moist von lipwig)

[smaller-comfort]

thinking about something @ocelly said a while back about writing and editing using different parts of the brain/serving different parts of the creative process- and fundamentally that mindset has been invaluable to me.

unfortunately, my brain has been coasting in editing/refining/polishing mode for a while now and I really need it to shift gears into creative/generative/productive mode. don't get me wrong, I genuinely love the editing process! I'd forgotten how much fun it can be to tease out the right words/meaning from something. I really would have been a very happy copyeditor in another universe.

But there's a whole laundry list of shit that I need done, not polished, and the problem with engaging Editing Brain is that it's hard to convince it that I can live without absolute perfection for a while. You can't polish an empty document, asshole! Get the words on the page first and then worry about the details later.

[neuxue]

I need AO3 search to allow window functions

[technicontrastron]

goddamnit can my coworkers do nothing without chatgpt anymore.

[tranquilbird]

I put the queer in SQL query

[thenightisland]

does feel like my brain has been slightly broken lately in a not unpleasant way but in a way that has made almost anything outside of work requiring more than thirty seconds of my attention impossible to focus on (rip reading. i haven't even been able to listen to my audiobooks at work). feels like i've come home from work everyday and watched one episode of cutthroat kitchen and i can't tell you anything else i've done. sure hasn't been reading or writing or even being online that much so i'm truly at a loss as to what's been filling the hours lol. shout out to my queue for being so long at least so i continue to post nonsense even if i'm not posting nonsense in real time i guess.

[newcodesociety]

[forever-stuck-on-java-8]

so it turns out they weren't kidding when they said breaking a monolith into microservices is hard.

[govindhtech]

Bigtable SQL Introduces Native Support for Real-Time Queries

Upgrades to Bigtable SQL offer scalable, fast data processing for contemporary analytics. Simplify procedures and accelerate business decision-making.

Businesses have battled for decades to use data for real-time operations. Bigtable, Google Cloud's revolutionary NoSQL database, powers global, low-latency apps. It was built to solve real-time application issues and is now a crucial part of Google's infrastructure, along with YouTube and Ads.

Continuous materialised views, an enhancement of Bigtable's SQL capabilities, were announced at Google Cloud Next this week. Maintaining Bigtable's flexible schema in real-time applications requires well-known SQL syntax and specialised skills. Fully managed, real-time application backends are possible with Bigtable SQL and continuous materialised views.

Bigtable has gotten simpler and more powerful, whether you're creating streaming apps, real-time aggregations, or global AI research on a data stream.

The Bigtable SQL interface is now generally available.

SQL capabilities, now generally available in Bigtable, has transformed the developer experience. With SQL support, Bigtable helps development teams work faster.

Bigtable SQL enhances accessibility and application development by speeding data analysis and debugging. This allows KNN similarity search for improved product search and distributed counting for real-time dashboards and metric retrieval. Bigtable SQL's promise to expand developers' access to Bigtable's capabilities excites many clients, from AI startups to financial institutions.

Imagine AI developing and understanding your whole codebase. AI development platform Augment Code gives context for each feature. Scalability and robustness allow Bigtable to handle large code repositories. This user-friendliness allowed it to design security mechanisms that protect clients' valuable intellectual property. Bigtable SQL will help onboard new developers as the company grows. These engineers can immediately use Bigtable's SQL interface to access structured, semi-structured, and unstructured data.

Equifax uses Bigtable to store financial journals efficiently in its data fabric. The data pipeline team found Bigtable's SQL interface handy for direct access to corporate data assets and easier for SQL-savvy teams to use. Since more team members can use Bigtable, it expects higher productivity and integration.

Bigtable SQL also facilitates the transition between distributed key-value systems and SQL-based query languages like HBase with Apache Phoenix and Cassandra.

Pega develops real-time decisioning apps with minimal query latency to provide clients with real-time data to help their business. As it seeks database alternatives, Bigtable's new SQL interface seems promising.

Bigtable is also previewing structured row keys, GROUP BYs, aggregations, and a UNPACK transform for timestamped data in its SQL language this week.

Continuously materialising views in preview

Bigtable SQL works with Bigtable's new continuous materialised views (preview) to eliminate data staleness and maintenance complexity. This allows real-time data aggregation and analysis in social networking, advertising, e-commerce, video streaming, and industrial monitoring.

Bigtable views update gradually without impacting user queries and are fully controllable. Bigtable materialised views accept a full SQL language with functions and aggregations.

Bigtable's Materialised Views have enabled low-latency use cases for Google Cloud's Customer Data Platform customers. It eliminates ETL complexity and delay in time series use cases by setting SQL-based aggregations/transformations upon intake. Google Cloud uses data transformations during import to give AI applications well prepared data with reduced latency.

Ecosystem integration

Real-time analytics often require low-latency data from several sources. Bigtable's SQL interface and ecosystem compatibility are expanding, making end-to-end solutions using SQL and basic connections easier.

Open-source Apache Large Table Washbasin Kafka

Companies utilise Google Cloud Managed Service for Apache Kafka to build pipelines for Bigtable and other analytics platforms. The Bigtable team released a new Apache Kafka Bigtable Sink to help clients build high-performance data pipelines. This sends Kafka data to Bigtable in milliseconds.

Open-source Apache Flink Connector for Bigtable

Apache Flink allows real-time data modification via stream processing. The new Apache Flink to Bigtable Connector lets you design a pipeline that modifies streaming data and publishes it to Bigtable using the more granular Datastream APIs and the high-level Apache Flink Table API.

BigQuery Continuous Queries are commonly available

BigQuery continuous queries run SQL statements continuously and export output data to Bigtable. This widely available capability can let you create a real-time analytics database using Bigtable and BigQuery.

Python developers may create fully-managed jobs that synchronise offline BigQuery datasets with online Bigtable datasets using BigQuery's Python frameworks' bigrames streaming API.

Cassandra-compatible Bigtable CQL Client Bigtable is previewed.

Apache Cassandra uses CQL. Bigtable CQL Client enables developers utilise CQL on enterprise-grade, high-performance Bigtable without code modifications as they migrate programs. Bigtable supports Cassandra's data migration tools, which reduce downtime and operational costs, and ecosystem utilities like the CQL shell.

Use migrating tools and Bigtable CQL Client here.

Using SQL power via NoSQL. This blog addressed a key feature that lets developers use SQL with Bigtable. Bigtable Studio lets you use SQL from any Bigtable cluster and create materialised views on Flink and Kafka data streams.

[joneswebgoods]

Learn SQL Easy

If you're interested in learning SQL (Structured Query Language), the standard database access language, try learning from a place called SQL Easy. They provide a great self-learning environment where you can learn this language or troubleshoot how to code something.

I'm still learning SQL, even after using it for a few years. I came here looking for a code to pull records within a 7-day span and used this page here: https://www.sql-easy.com/learn/how-to-get-last-7-days-record-in-postgresql/

[sizzlingcreatorcycle]

Learn SQL Easily with Takeoff Upskill and Build Your Data Skills

SQL (Structured Query Language) is one of the most important skills for anyone working with data. At Takeoff Upskill, we offer a comprehensive SQL course that makes learning this valuable skill easy and accessible. Whether you are a beginner or someone looking to enhance your database knowledge, this course is designed to meet your needs.

Our SQL course starts with the basics, such as understanding databases, tables, and data types. You will learn how to create, read, update, and delete data using SQL commands. The course also covers advanced topics like joining multiple tables, writing complex queries, and optimizing database performance. These skills are essential for roles like data analyst, software developer, and database administrator.

The training at Takeoff Upskill is practical and hands-on. We provide real-world examples and exercises that help you understand how SQL is used in businesses. By the end of the course, you will be confident in writing queries, managing data, and solving database challenges. Our experienced trainers guide you every step of the way, ensuring you gain a strong foundation.