Smart Data Collective

JUNE 15, 2021

It’s also possible to employ extra caching or materialized views in the data warehouse in addition to caching in Looker (depending on the capability of your data warehouse). One added tip is to aggregate your data before loading it into Looker or in the data warehouse to reduce the amount of data loaded onto the platform.

Data Warehouse 96

Data Warehouse Database SQL Data Analyst 96

Data Science 101

NOVEMBER 7, 2019

Microsoft just held one of its largest conferences of the year, and a few major announcements were made which pertain to the cloud data science world. Azure Synapse Analytics can be seen as a merge of Azure SQL Data Warehouse and Azure Data Lake. Azure Synapse. It’s true, I saw it happen this week.

Data Science 106

Data Science Azure SQL Machine Learning 106

Mlearning.ai

FEBRUARY 16, 2023

The demand for information repositories enabling business intelligence and analytics is growing exponentially, giving birth to cloud solutions. The ultimate need for vast storage spaces manifests in data warehouses: specialized systems that aggregate data coming from numerous sources for centralized management and consistency.

Data Warehouse 52

Data Warehouse Business Intelligence Business Intelligence Database 52

Tableau

JUNE 8, 2021

Domain experts, for example, feel they are still overly reliant on core IT to access the data assets they need to make effective business decisions. In all of these conversations there is a sense of inertia: Data warehouses and data lakes feel cumbersome and data pipelines just aren't agile enough.

Tableau 52

Tableau Data Lakes Data Warehouse SQL 52

Smart Data Collective

APRIL 8, 2020

Dating back to the 1970s, the data warehousing market emerged when computer scientist Bill Inmon first coined the term ‘data warehouse’. Created as on-premise servers, the early data warehouses were built to perform on just a gigabyte scale. The post How Will The Cloud Impact Data Warehousing Technologies?

Data Warehouse 134

Data Warehouse Big Data Big Data Business Intelligence 134

Smart Data Collective

APRIL 29, 2020

Usually the term refers to the practices, techniques and tools that allow access and delivery through different fields and data structures in an organisation. Data management approaches are varied and may be categorised in the following: Cloud data management. Master data management. Data transformation.

Data Warehouse 84

Data Warehouse SQL Azure ETL 84

phData

FEBRUARY 14, 2023

Data integration is essentially the Extract and Load portion of the Extract, Load, and Transform (ELT) process. Data ingestion involves connecting your data sources, including databases, flat files, streaming data, etc, to your data warehouse. Snowflake provides native ways for data ingestion.

Data Warehouse 59

Data Warehouse Azure AWS Database 59

phData

OCTOBER 12, 2022

It comes with a rather lightweight intellisense, and highlights for both SQL and Jinja use. The real power is the ability to run your models and view the outputs, or even have your SQL compiled to verify that your Jinja or SQL compiles into the correct model. Our team of data experts are happy to assist. Reach out today!

SQL 52

SQL Data Warehouse Data Visualization Data Quality 52

phData

JUNE 14, 2023

Each migration SQL script is assigned a unique sequence number to facilitate the correct order of application. Step 2 Enable multiple branches with appropriate privileges for collaboration and enabling the SQL script deployment to the Snowflake workspace. Each branch serves a specific purpose, as defined below.

Data Pipeline 52

Data Pipeline Database SQL Data Engineering 52

phData

MARCH 29, 2024

Founded in 2014 by three leading cloud engineers, phData focuses on solving real-world data engineering, operations, and advanced analytics problems with the best cloud platforms and products. Over the years, one of our primary focuses became Snowflake and migrating customers to this leading cloud data platform.

Data Engineering 52

Data Engineering Data Engineer Data Engineering Data Engineering 52

phData

JULY 19, 2023

At its core, Fivetran is a data integration platform that enables you to effortlessly connect and centralize your data from various sources into your preferred data destination, such as a data warehouse or cloud storage. Fivetran’s benefits extend to businesses across industries and sizes.

Data Warehouse 52

Data Warehouse Database Data Pipeline SQL 52

phData

JULY 19, 2023

At its core, Fivetran is a data integration platform that enables you to effortlessly connect and centralize your data from various sources into your preferred data destination, such as a data warehouse or cloud storage. Fivetran’s benefits extend to businesses across industries and sizes.

Data Warehouse 52

Data Warehouse Database Data Pipeline SQL 52

Alation

SEPTEMBER 7, 2021

Organizations need to ensure that data use adheres to policies (both organizational and regulatory). In an ideal world, you’d get compliance guidance before and as you use the data. Imagine writing a SQL query or using a BI dashboard with flags & warnings on compliance best practice within your natural workflow.

Data Governance 59

Data Governance Data Scientist Data Quality Data Profiling 59

phData

JULY 17, 2023

Over the past few decades, the corporate data landscape has changed significantly. The shift from on-premise databases and spreadsheets to the modern era of cloud data warehouses and AI/ LLMs has transformed what businesses can do with data. Designed to cheaply and efficiently process large quantities of data.

Data Warehouse 52

Data Warehouse Data Pipeline Cloud Data ETL 52

Analytics Vidhya

MARCH 10, 2023

Introduction Snowflake is a cloud-based data warehousing platform that enables enterprises to manage vast and complicated information by providing scalable storage and processing capabilities. It is intended to be a fully managed, multi-cloud solution that does not need clients to handle hardware or software.

Analytics 283

Analytics Analytics Data Warehouse Data Engineering 283

Alation

AUGUST 30, 2022

These range from data sources , including SaaS applications like Salesforce; ELT like Fivetran; cloud data warehouses like Snowflake; and data science and BI tools like Tableau. This expansive map of tools constitutes today’s modern data stack. We are starting with personalized homepages.

Data Governance 52

Data Governance Data Quality Tableau Data Analyst 52

Alation

JANUARY 17, 2023

The modern data stack is a combination of various software tools used to collect, process, and store data on a well-integrated cloud-based data platform. It is known to have benefits in handling data due to its robustness, speed, and scalability. Data ingestion/integration services. Data orchestration tools.

Data Warehouse 52

Data Warehouse ETL Cloud Data Tableau 52

Snorkel AI

MAY 26, 2023

[link] Ahmad Khan, head of artificial intelligence and machine learning strategy at Snowflake gave a presentation entitled “Scalable SQL + Python ML Pipelines in the Cloud” about his company’s Snowpark service at Snorkel AI’s Future of Data-Centric AI virtual conference in August 2022. Welcome everybody.

SQL 52

SQL ML ML Python 52

Snorkel AI

MAY 26, 2023

[link] Ahmad Khan, head of artificial intelligence and machine learning strategy at Snowflake gave a presentation entitled “Scalable SQL + Python ML Pipelines in the Cloud” about his company’s Snowpark service at Snorkel AI’s Future of Data-Centric AI virtual conference in August 2022. Welcome everybody.

SQL 52

SQL ML ML Python 52

phData

FEBRUARY 5, 2024

The tool converts the templated configuration into a set of SQL commands that are executed against the target Snowflake environment. Replicate can interact with a wide variety of databases, data warehouses, and data lakes (on-premise or based in the cloud). It is also a helpful tool for learning a new SQL dialect.

SQL 52

SQL Database Data Quality Data Warehouse 52

phData

OCTOBER 12, 2023

Fivetran is here to simplify that, providing a single platform that can centralize your data in a performant and optimized manner at scale. One particular way Fivetran scales its replication so easily is the recent options for database technologies like DB2 or SQL Server using high volume database agents (or HVA).

Data Warehouse 52

Data Warehouse Database Cloud Data Data Pipeline 52

Flipboard

AUGUST 17, 2023

Amazon Redshift is the most popular cloud data warehouse that is used by tens of thousands of customers to analyze exabytes of data every day. You can use query_string to filter your dataset by SQL and unload it to Amazon S3. If you’re familiar with SageMaker and writing Spark code, option B could be your choice.

ML 93

ML ML AWS Data Warehouse 93

IBM Journey to AI blog

MAY 9, 2023

Watsonx.data will allow users to access their data through a single point of entry and run multiple fit-for-purpose query engines across IT environments. Through workload optimization an organization can reduce data warehouse costs by up to 50 percent by augmenting with this solution. [1]

Data Warehouse 77

Data Warehouse AWS AI AI 77

phData

MARCH 8, 2023

Fivetran is an automated data integration platform that offers a convenient solution for businesses to consolidate and sync data from disparate data sources. With over 160 data connectors available, Fivetran makes it easy to move data out of, into, and across any cloud data platform in the market.

Data Warehouse 96

Data Warehouse Data Engineering Data Engineer Data Engineering 96

phData

OCTOBER 9, 2023

As organizations embrace the benefits of data vault, it becomes crucial to ensure optimal performance in the underlying data platform. One such platform that has revolutionized cloud data warehousing is the Snowflake Data Cloud. This can make it nearly impossible to “handwrite” these SQL queries.

ETL 69

ETL Clustering Data Warehouse SQL 69

phData

JANUARY 4, 2023

Why You Should Consider Migrating from Netezza to Snowflake With Netezza, IBM was one of the first companies to provide a data warehousing solution to allow organizations to analyze and manage large amounts of data. However, as technology has evolved, the need for more advanced, agile data warehousing solutions has become apparent.

Data Warehouse 52

Data Warehouse SQL Database ETL 52

phData

MAY 4, 2023

To date, the company’s data warehousing solutions are largely built from the same template used in 1979. In short, they are still the model of multiple processors and massive disk storage with data warehouse software on the top layer managing it all. Oh, and let’s not forget those cost savings too!

SQL 52

SQL Data Warehouse Azure Big Data 52

phData

MAY 11, 2023

There are many frameworks for testing software, but the right way to test the data and SQL scripts that change data are less obvious. This is because databases and the data therein are constantly changing. To truly test the effects of a deployment, you need to have an environment with the exact data that is in Production.

Database 52

Database SQL DataOps Data Warehouse 52

IBM Journey to AI blog

SEPTEMBER 11, 2023

Codd published his famous paper “ A Relational Model of Data for Large Shared Data Banks.” Boyce to create Structured Query Language (SQL). Developers can leverage features like REST APIs, JSON support and enhanced SQL compatibility to easily build cloud-native applications. Chamberlin and Raymond F.

Database 90

Database SQL Data Warehouse Machine Learning 90

Mlearning.ai

JULY 10, 2023

In my 7 years of Data Science journey, I’ve been exposed to a number of different databases including but not limited to Oracle Database, MS SQL, MySQL, EDW, and Apache Hadoop. Some of the other ways are creating a table 1) using the command line in Google Cloud console, 2) using the APIs, or 3) from Vertex AI Workbench.

SQL 52

SQL Database Apache Hadoop Data Science 52

IBM Journey to AI blog

JULY 11, 2023

Data warehouses are a critical component of any organization’s technology ecosystem. The next generation of IBM Db2 Warehouse brings a host of new capabilities that add cloud object storage support with advanced caching to deliver 4x faster query performance than previously, while cutting storage costs by 34x 1.

Data Warehouse 50

Data Warehouse Database Cloud Data Business Intelligence 50

AWS Machine Learning Blog

JULY 17, 2023

Amazon Redshift is a fully managed, fast, secure, and scalable cloud data warehouse. Organizations often want to use SageMaker Studio to get predictions from data stored in a data warehouse such as Amazon Redshift. This should return the records successfully for further data processing and analysis.

Clustering 67

Clustering AWS ML ML 67

phData

MAY 25, 2023

One big issue that contributes to this resistance is that although Snowflake is a great cloud data warehousing platform, Microsoft has a data warehousing tool of its own called Synapse. The June 2021 release of Power BI Desktop introduced Custom SQL queries to Snowflake in DirectQuery mode.

Power BI 84

Power BI Analytics Analytics Azure 84

IBM Journey to AI blog

JULY 17, 2023

It is supported by querying, governance, and open data formats to access and share data across the hybrid cloud. Through workload optimization across multiple query engines and storage tiers, organizations can reduce data warehouse costs by up to 50 percent.

AI 66

AI AI Machine Learning Machine Learning 66

Alation

APRIL 14, 2022

This two-part series will explore how data discovery, fragmented data governance , ongoing data drift, and the need for ML explainability can all be overcome with a data catalog for accurate data and metadata record keeping. The Cloud Data Migration Challenge. Data pipeline orchestration.

Data Governance 59

Data Governance ML ML Cloud Data 59

Alation

OCTOBER 27, 2022

Few actors in the modern data stack have inspired the enthusiasm and fervent support as dbt. This data transformation tool enables data analysts and engineers to transform, test and document data in the cloud data warehouse. But what does this mean from a practitioner perspective?

Data Analyst 52

Data Analyst Data Scientist Data Warehouse Analytics 52

Flipboard

DECEMBER 18, 2023

Amazon Redshift powers data-driven decisions for tens of thousands of customers every day with a fully managed, AI-powered cloud data warehouse, delivering the best price-performance for your analytics workloads.

AWS 112

AWS Data Warehouse ETL SQL 112