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.

Data Warehouse 52

Data Warehouse Data Lake Structured Data SQL 52

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.

SQL 202

SQL Database Technology Data 202

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.

Relational Database 255

Relational Database Database SQL Coding 255

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 Lake 94

Data Lake Data Warehouse Cloud Unstructured Data 94

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.

Data Warehouse 52

Data Warehouse Big Data Unstructured Data Hadoop 52

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.

PostgreSQL 100

PostgreSQL Data Warehouse Building MySQL 100

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.

Data Warehouse 88

Data Warehouse Data SQL Data Analysis 88

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.

SQL 93

SQL Data Warehouse Data 93

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.

Data Warehouse 69

Data Warehouse Pharmaceutical BI Banking 69

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.

Data Warehouse 70

Data Warehouse SQL Engineering Metadata 70

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?

Data Warehouse 100

Data Warehouse Building BI SQL 100

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.

SQL 130

SQL Data Warehouse Coding IT 130

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.

Data Warehouse 100

Data Warehouse BI Data Workflow Data Engineer 100

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.

Data Warehouse 95

Data Warehouse Cloud Consulting SQL 95

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 Warehouse 100

Data Warehouse PostgreSQL AWS Programming Language 100

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.

SQL 52

SQL Data Warehouse Datasets Database 52

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 Warehouse 52

Data Warehouse Coding Systems Cloud 52

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 Warehouse 100

Data Warehouse Data Integration Cloud Google Cloud 100

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 Warehouse 100

Data Warehouse Cloud AWS Relational Database 100

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.

Data Warehouse 100

Data Warehouse Cloud Building Data Lake 100

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?

Data Lake 52

Data Lake Data Warehouse Unstructured Data Raw Data 52

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.

Data Warehouse 100

Data Warehouse Cloud PostgreSQL Kafka 100

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 Warehouse 52

Data Warehouse AWS Data Validation Data 52

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.

Data Warehouse 52

Data Warehouse Data High Quality Data Metadata 52

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 Warehouse 278

Data Warehouse SQL Metadata Raw Data 278

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.

Data Pipeline 100

Data Pipeline SQL Data Warehouse Data Lake 100

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.

SQL 70

SQL Data Warehouse AWS Architecture 70

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.

SQL 52

SQL Data Warehouse Data 52

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.

Data Warehouse 80

Data Warehouse Java Metadata Data 80

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.

Data Engineer 225

Data Engineer Data Engineering Python Engineering 225

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?

Data Warehouse 100

Data Warehouse MySQL Hadoop Data Lake 100

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.

SQL 40

SQL Data Lake Data Warehouse Architecture 40

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.

Data Warehouse 52

Data Warehouse Architecture Data Data Architect 52

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 Warehouse 52

Data Warehouse SQL Portfolio MySQL 52

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.

Data Warehouse 99

Data Warehouse Datasets Data Big Data 99

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

Metadata 147

Metadata Data Warehouse BI Scala 147

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. )

SQL 71

SQL Data Warehouse Coding Metadata 71