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Tag: Data Warehouse

How to Reboot Your Company’s Data, Analytics, and AI Progress using DW Services?
It is time for organizations in the Fortune 1000 to reevaluate their investments in data, analytics, and artificial intelligence. Investing in essential business competencies and factors that set a company […] The post How to Reboot Your Company’s Data, Analytics, and AI Progress using DW Services? appeared first on Datafloq.
How to Ensure an Effective Data Pipeline Process
In this contributed article, Rajkumar Sen, Founder and CTO at Arcion, discusses how the business data in a modern enterprise is spread across various platforms and formats. Data could belong to an operational database, cloud warehouses, data lakes and lakehouses, or even external public sources. Data pipelines connecting this variety …
BIDW: What makes business intelligence and data warehouses inseparable?
Although they function in the same area, business intelligence and data warehouses are fundamentally different concepts. Data warehouses and business intelligence both include data storage. However, data collection, technique, and analysis are the main focuses of business intelligence. On the other hand, a data warehouse primarily organizes and stores such …
Video Highlights: Modernize your IBM Mainframe & Netezza With Databricks Lakehouse
In the video presentation below, learn from experts how to architect modern data pipelines to consolidate data from multiple IBM data sources into Databricks Lakehouse, using the state-of-the-art replication technique—Change Data Capture (CDC).
What is Data Pipeline? A Detailed Explanation
Big data is shaping our world in countless ways. Data powers everything we do. Exactly why, the systems have to ensure adequate, accurate and most importantly, consistent data flow between different systems. Pipeline, as it sounds, consists of several activities and tools that are used to move data from one …
How to Migrate Your Data and AI Workloads to Databricks With the AWS Migration Acceleration Program
In this blog we define the process for earning AWS customer credits when migrating Data and AI workloads to Databricks on Amazon Web… The post How to Migrate Your Data and AI Workloads to Databricks With the AWS Migration Acceleration Program appeared first on Databricks.
eBook: Unlock Complex and Streaming Data with Declarative Data Pipelines
Our friend, Ori Rafael, CEO of Upsolver and advocate for engineers everywhere, released his new book "Unlock Complex and Streaming Data with Declarative Data Pipelines." Ori discusses why declarative pipelines are necessary for data-driven businesses and how they help with engineering productivity, and the ability for businesses to unlock more …
Ocient Releases the Ocient Hyperscale Data Warehouse version 20 to Optimize Log and Network Metadata Analysis
Ocient, a leading hyperscale data analytics solutions company serving organizations that derive value from analyzing trillions of data records in interactive time, released version 20 of the Ocient Hyperscale Data Warehouse. New features and optimizations include a suite of indexes, native complex data types, and the creation of data pipelines …
Data Warehousing Modeling Techniques and Their Implementation on the Databricks Lakehouse Platform
The lakehouse is a new data platform paradigm that combines the best features of data lakes and data warehouses. It is designed as… The post Data Warehousing Modeling Techniques and Their Implementation on the Databricks Lakehouse Platform appeared first on Databricks.
Prescriptive Guidance for Implementing a Data Vault Model on the Databricks Lakehouse Platform
There are many different data models that you can use when designing an analytical system, such as industry-specific domain models, Kimball, Inmon, and… The post Prescriptive Guidance for Implementing a Data Vault Model on the Databricks Lakehouse Platform appeared first on Databricks.
After $23m in funding, Datorios reveals its data transformation framework in Vegas
When it comes to data – recognized by The Economist in 2017 as the most valuable commodity in the world – one phrase still rings true: garbage in, garbage out. That’s one of the reasons why data transformation solutions are getting so much attention right now. When it comes to
Optimizing Data Integration to Enable Cloud Data Warehouse Success
In this contributed article, Mark Gibbs, Vice President of Products at SnapLogic, looks at best practices for data integration success, shares advice on how to optimize your CDW investments, and reviews common issues to avoid during the process. Data integration comes enables the CDW by mobilizing your data and automating …
Five Simple Steps for Implementing a Star Schema in Databricks With Delta Lake
Most data warehouse developers are very familiar with the ever-present star schema. Introduced by Ralph Kimball in the 1990s, a star schema is… The post Five Simple Steps for Implementing a Star Schema in Databricks With Delta Lake appeared first on Databricks.
Introducing Databricks SQL on Google Cloud – Now in Public Preview
Today we’re pleased to announce the availability of Databricks SQL in public preview on Google Cloud. With this announcement, customers can further adopt… The post Introducing Databricks SQL on Google Cloud – Now in Public Preview appeared first on Databricks.
Databricks Launches Data Lakehouse for Retail and Consumer Goods Customers
Databricks, the Data and AI company and pioneer of the data lakehouse architecture, announced the Databricks Lakehouse for Retail, the company’s first industry-specific data lakehouse for retailers and consumer goods (CG) customers. With Databricks’ Lakehouse for Retail, data teams are enabled with a centralized data and AI platform that is …
Announcing General Availability of Databricks SQL
Today, we are thrilled to announce that Databricks SQL is Generally Available (GA)! This follows the announcement earlier this month about Databrick SQL’s world record-setting performance for data warehousing workloads, and adoption of standard ANSI SQL. With GA, you can expect the highest level of stability, support and enterprise-readiness from …
From Data Warehouses and Data Lakes to Data Fabrics for Analytics
In this contributed article, Kendall Clark, Founder and CEO of Stardog, discusses how data fabric is fast-becoming the data architecture foundation for analytics and how it is revolutionizing the $50 billion data lakes/warehouse market. Supported by real-word examples, the article explores how technologies such as expressive semantic modeling, knowledge graph, …
Data Warehouse Costs Soar, ROI Still Not Realized
Enterprises are pouring money into data management software – to the tune of $73 billion in 2020 – but are seeing very little return on their data investments. According to a new study out from Dremio, the SQL Lakehouse company, and produced by Wakefield Research, only 22% of the data …