Introducing the New SQL Editor
databricks
OCTOBER 14, 2024
Over the last few years, we've seen tremendous growth and adoption of Databricks SQL , our intelligent data warehouse purpose-built on the Data.
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databricks
OCTOBER 14, 2024
Over the last few years, we've seen tremendous growth and adoption of Databricks SQL , our intelligent data warehouse purpose-built on the Data.
Cloudera
JULY 16, 2021
Did you know Cloudera customers, such as SMG and Geisinger , offloaded their legacy DW environment to Cloudera Data Warehouse (CDW) to take advantage of CDW’s modern architecture and best-in-class performance? Today, we are pleased to announce the general availability of HPL/SQL integration in CDW public cloud.
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Data Engineering Podcast
FEBRUARY 4, 2024
Summary Stream processing systems have long been built with a code-first design, adding SQL as a layer on top of the existing framework. In this episode Yingjun Wu explains how it is architected to power analytical workflows on continuous data flows, and the challenges of making it responsive and scalable.
databricks
JANUARY 31, 2024
Welcome to the blog series covering product advancements in 2023 for Databricks SQL, the serverless data warehouse from Databricks. This is part 2.
Hevo
MAY 17, 2024
Snowflake Data Warehouse delivers essential infrastructure for handling a Data Lake, and Data Warehouse needs. It can store semi-structured and structured data in one place due to its multi-clusters architecture that allows users to independently query data using SQL.
dbt Developer Hub
NOVEMBER 14, 2021
I’ve used the dateadd SQL function thousands of times. I’ve googled the syntax of the dateadd SQL function all of those times except one, when I decided to hit the "are you feeling lucky" button and go for it. What is the DATEADD SQL Function? This allows you to add or subtract a certain period of time from a given start date.
Analytics Vidhya
MARCH 14, 2023
This results in the generation of so much data daily. This generated data is stored in the database and will maintain it. SQL is a structured query language used to read and write these databases.
Analytics Vidhya
FEBRUARY 27, 2023
So, we are […] The post How to Normalize Relational Databases With SQL Code? If a corrupted, unorganized, or redundant database is used, the results of the analysis may become inconsistent and highly misleading. appeared first on Analytics Vidhya.
Knowledge Hut
APRIL 23, 2024
Two popular approaches that have emerged in recent years are data warehouse and big data. While both deal with large datasets, but when it comes to data warehouse vs big data, they have different focuses and offer distinct advantages.
Towards Data Science
JUNE 6, 2023
It runs locally, has extensive SQL support and can run queries directly on Pandas data, Parquet, JSON data. The fact it’s insanely fast and does (mostly) all processing in memory make it a good choice for building my personal data warehouse. Extra points for its seamless integration with Python and R.
Snowflake
NOVEMBER 2, 2023
Over the years, the technology landscape for data management has given rise to various architecture patterns, each thoughtfully designed to cater to specific use cases and requirements. These patterns include both centralized storage patterns like data warehouse , data lake and data lakehouse , and distributed patterns such as data mesh.
Data Engineering Podcast
MAY 13, 2021
Summary There is a lot of attention on the database market and cloud data warehouses. While they provide a measure of convenience, they also require you to sacrifice a certain amount of control over your data. Firebolt is the fastest cloud data warehouse. Visit dataengineeringpodcast.com/firebolt to get started.
Cloudera
JULY 11, 2023
Apache Impala is a distributed C++ backed SQL engine that integrates with Kudu to serve BI results over millions of rows meeting sub-second service-level agreements. Cloudera offers Apache Kudu to run in Real Time DataMart Clusters , and Apache Impala to run in Kubernetes in the Cloudera Data Warehouse form factor.
Cloudera
SEPTEMBER 24, 2020
Some of the most powerful results come from combining complementary superpowers, and the “dynamic duo” of Apache Hive LLAP and Apache Impala, both included in Cloudera Data Warehouse , is further evidence of this. Both Impala and Hive can operate at an unprecedented and massive scale, with many petabytes of data.
databricks
AUGUST 10, 2023
At this year's Data+AI Summit, Databricks SQL continued to push the boundaries of what a data warehouse can be, leveraging AI across the.
Data Engineering Podcast
FEBRUARY 8, 2021
In this episode Zeeshan Qureshi and Michelle Ark share their experiences using DBT to manage the data warehouse for Shopify. Datafold integrates with all major data warehouses as well as frameworks such as Airflow & dbt and seamlessly plugs into CI workflows. What kinds of data sources are you working with?
Start Data Engineering
JANUARY 16, 2021
Introduction Setup Code Conditional logic to read from mock input Custom macro to test for equality Setup environment specific test Run ELT using dbt Conclusion Further reading Introduction With the recent advancements in data warehouses and tools like dbt most transformations(T of ELT) are being done directly in the data warehouse.
Data Engineering Podcast
JANUARY 1, 2022
In this episode Emily Riederer shares her work to create a controlled vocabulary for managing the semantic elements of the data managed by her team and encoding it in the schema definitions in her data warehouse. Atlan is a collaborative workspace for data-driven teams, like Github for engineering or Figma for design teams.
Cloudera
JANUARY 15, 2021
Cloud data warehouses allow users to run analytic workloads with greater agility, better isolation and scale, and lower administrative overhead than ever before. The results demonstrate superior price performance of Cloudera Data Warehouse on the full set of 99 queries from the TPC-DS benchmark. Introduction.
Hevo
MAY 9, 2024
Apache Hive is a Data Warehouse system that facilitates writing, reading, and manipulating large datasets residing across distributed storage using SQL. SQL (Structured Query Language) is a querying language that is used to perform various operations on the records stored in a database.
Data Engineering Podcast
OCTOBER 14, 2019
Summary Managing a data warehouse can be challenging, especially when trying to maintain a common set of patterns. Raghu Murthy, founder and CEO of Datacoral built data infrastructures at Yahoo! and Facebook, scaling from mere terabytes to petabytes of analytic data. Visit Datacoral.com today to find out more.
Data Science Blog: Data Engineering
SEPTEMBER 19, 2023
In the contemporary age of Big Data, Data Warehouse Systems and Data Science Analytics Infrastructures have become an essential component for organizations to store, analyze, and make data-driven decisions. So why using IaC for Cloud Data Infrastructures?
Data Engineering Podcast
MAY 1, 2022
Atlan is a collaborative workspace for data-driven teams, like Github for engineering or Figma for design teams. Datafold built automated regression testing to help data and analytics engineers deal with data quality in their pull requests. No more shipping and praying, you can now know exactly what will change in your database!
Data Engineering Podcast
DECEMBER 8, 2019
Summary Data warehouses have gone through many transformations, from standard relational databases on powerful hardware, to column oriented storage engines, to the current generation of cloud-native analytical engines. If you are evaluating your options for building or migrating a data platform, then this is definitely worth a listen.
Data Engineering Podcast
AUGUST 31, 2020
Summary Data warehouse technology has been around for decades and has gone through several generational shifts in that time. The current trends in data warehousing are oriented around cloud native architectures that take advantage of dynamic scaling and the separation of compute and storage.
Monte Carlo
AUGUST 25, 2023
Different vendors offering data warehouses, data lakes, and now data lakehouses all offer their own distinct advantages and disadvantages for data teams to consider. So let’s get to the bottom of the big question: what kind of data storage layer will provide the strongest foundation for your data platform?
Cloudera
JANUARY 19, 2024
As described in our recent blog post , an SQL AI Assistant has been integrated into Hue with the capability to leverage the power of large language models (LLMs) for a number of SQL tasks. This is a real game-changer for data analysts on all levels and will make SQL development faster, easier, and less error-prone.
Monte Carlo
FEBRUARY 6, 2023
So, you’re planning a cloud data warehouse migration. But be warned, a warehouse migration isn’t for the faint of heart. As you probably already know if you’re reading this, a data warehouse migration is the process of moving data from one warehouse to another. A worthy quest to be sure.
Data Engineering Podcast
MAY 27, 2021
Summary The data warehouse has become the focal point of the modern data platform. With increased usage of data across businesses, and a diversity of locations and environments where data needs to be managed, the warehouse engine needs to be fast and easy to manage.
Cloudera
APRIL 3, 2023
In this blog, we will share with you in detail how Cloudera integrates core compute engines including Apache Hive and Apache Impala in Cloudera Data Warehouse with Iceberg. We will publish follow up blogs for other data services. Try Cloudera Data Warehouse (CDW) by signing up for a 60 day trial , or test drive CDP.
Monte Carlo
JANUARY 25, 2023
In this article, Chad Sanderson , Head of Product, Data Platform , at Convoy and creator of Data Quality Camp , introduces a new application of data contracts: in your data warehouse. In the last couple of posts , I’ve focused on implementing data contracts in production services.
Christophe Blefari
MARCH 1, 2023
dbt Core is an open-source framework that helps you organise data warehouse SQL transformation. dbt was born out of the analysis that more and more companies were switching from on-premise Hadoop data infrastructure to cloud data warehouses. This switch has been lead by modern data stack vision.
Data Engineering Podcast
OCTOBER 28, 2021
He also explains why he started Decodable to address that limitation and the work that he and his team have done to let data engineers build streaming pipelines entirely in SQL. Start trusting your data with Monte Carlo today! Hightouch is the easiest way to sync data into the platforms that your business teams rely on.
databricks
MARCH 6, 2024
This blog continues our series looking at advancements from 2023 to the serverless data warehouse Databricks SQL. The best data warehouse is.
Data Engineering Podcast
JUNE 25, 2023
You can collect, transform, and route data across your entire stack with its event streaming, ETL, and reverse ETL pipelines. You can Implement RudderStack SDKs once, then automatically send events to your warehouse and 150+ business tools, and you’ll never have to worry about API changes again.
Cloudera
SEPTEMBER 17, 2018
SQL development is not a new concept. However, as the data warehousing world shifts into a fast-paced, digital, and agile era, the demands to quickly generate reports and help guide data-driven decisions are constantly increasing. Cloudera recently launched Cloudera Data Warehouse, a modern data warehousing solution.
Data Engineering Podcast
JULY 8, 2019
Summary The market for data warehouse platforms is large and varied, with options for every use case. What are some of the advanced capabilities, such as SQL extensions, supported data types, etc. For someone getting started with Clickhouse can you describe how they should be thinking about data modeling?
Hevo
JUNE 6, 2024
It is known for combining the best of Data Lakes and Data Warehouses in a Lakehouse Architecture. This blog talks about the different commands you can use to leverage SQL in Databricks in a seamless fashion. Databricks is an Enterprise Software company that was founded by the creators of Apache Spark.
Monte Carlo
APRIL 16, 2022
The data warehouse is the foundation of the modern data stack, so it caught our attention when we saw Convoy head of data Chad Sanderson declare, “ the data warehouse is broken ” on LinkedIn. Treating data like an API. Immutable data warehouses have challenges too.
Netflix Tech
OCTOBER 27, 2020
Usually Data scientists and engineers write Extract-Transform-Load (ETL) jobs and pipelines using big data compute technologies, like Spark or Presto , to process this data and periodically compute key information for a member or a video. The processed data is typically stored as data warehouse tables in AWS S3.
Cloudera
MARCH 2, 2022
Analytical SQL workloads use aggregates and joins heavily. Now that more and more data warehousing is done in the cloud, much of that in the Cloudera Data Warehouse data service, performance improvement directly equates to cost savings. You can also contact your sales representative to book a demo.
Christophe Blefari
JUNE 21, 2024
Snowflake was founded in 2012 around its data warehouse product, which is still its core offering, and Databricks was founded in 2013 from academia with Spark co-creator researchers, becoming Apache Spark in 2014. you could write the same pipeline in Java, in Scala, in Python, in SQL, etc.—with 3) Spark 4.0
Engineering at Meta
NOVEMBER 30, 2022
UPM is our internal standalone library to perform static analysis of SQL code and enhance SQL authoring. UPM takes SQL code as input and represents it as a data structure called a semantic tree. A limiting type system: Initially, we used only the fixed set of built-in Hive data types ( string , integer , boolean , etc. )
Cloudera
DECEMBER 21, 2023
Now imagine you had a personal assistant who knew everything about your data sets and was an expert in SQL, sitting alongside you every step of the way to help you quickly problem solve, write optimized code, explain queries, and much more. Well imagine it no longer, as Cloudera’s SQL AI Assistant is exactly that!
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