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

IBM Journey to AI blog

JUNE 2, 2023

improved document management capabilities, web portals, mobile applications, data warehouses, enhanced location services, etc.) AWS has the biggest cloud infrastructure services vendor market share worldwide, averaging around 33% as of Q4 2022. In 2022, IBM Consulting leveraged AIMM and worked with another major U.S.

AWS 80

AWS Data Warehouse Cloud Data Database 80

Dataversity

FEBRUARY 16, 2022

The semantic layer concept within the data stack is not new but is an increasingly popular topic of conversation. I predict that in 2022, we’ll see mainstream awareness of the semantic layer, especially as enterprises begin to see real-world examples of its benefits.

Data Lakes 52

Data Lakes Data Warehouse Cloud Data Analytics 52

Alation

SEPTEMBER 7, 2021

This is the last of the 4-part blog series. In the previous blog , we discussed how Alation provides a platform for data scientists and analysts to complete projects and analysis at speed. In this blog we will discuss how Alation helps minimize risk with active data governance. Subscribe to Alation's Blog.

Data Governance 59

Data Governance Data Scientist Data Quality Data Profiling 59

Alation

NOVEMBER 2, 2022

And that’s even in the midst of 2022, which has been a tumultuous year from a macro perspective. We had not seen that in the broader intelligence & data governance market.”. Right now, it’s probably not a secret that the amount and the pace of financings – if you compare 2022 to 2021 – is night and day,” he continues.

Data Governance 98

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IBM Journey to AI blog

JANUARY 10, 2023

In this example, we will demonstrate using current data within a Netezza Performance Server as a Service (NPSaaS) table combined with historical data in Parquet files to determine if flight delays have increased in 2022 due to the impact of the COVID-19 pandemic on the airline travel industry. Prerequisites for the demo.

Data Warehouse 52

Data Warehouse Data Analysis Data Analysis SQL 52

IBM Journey to AI blog

OCTOBER 4, 2023

Why does AI need an open data lakehouse architecture? from 2022 to 2026. Another IDC study showed that while 2/3 of respondents reported using AI-driven data analytics, most reported that less than half of the data under management is available for this type of analytics.

Data Lakes 78

Data Lakes Data Warehouse AI AI 78

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 73

Data Warehouse AWS AI AI 73

Alation

AUGUST 11, 2022

The data warehouse and analytical data stores moved to the cloud and disaggregated into the data mesh. Today, the brightest minds in our industry are targeting the massive proliferation of data volumes and the accompanying but hard-to-find value locked within all that data. Subscribe to Alation's Blog.

Data Warehouse 52

Data Warehouse Data Engineering Data Engineer Data Engineering 52

AWS Machine Learning Blog

MAY 8, 2024

In 2022, Dialog Axiata made significant progress in their digital transformation efforts, with AWS playing a key role in this journey. SageMaker Feature Store – By using a centralized repository for ML features, SageMaker Feature Store enhances data consumption and facilitates experimentation with validation data.

ML 95

ML ML AWS AI 95

IBM Journey to AI blog

SEPTEMBER 11, 2023

Built on decades of innovation in data security, scalability and availability, IBM Db2 keeps business applications and analytics protected, highly performant, and resilient, anywhere. Db2 Warehouse SaaS, on the other hand, is a fully managed elastic cloud data warehouse with our columnar technology.

Database 85

Database SQL Data Warehouse Machine Learning 85

AWS Machine Learning Blog

JUNE 7, 2023

billion in Q3 2021 and Q3 2022, and $6 million and $(11.3) billion for the nine months ended September 30, 2021 and 2022. (2) billion as of December 31, 2021 and September 30, 2022, respectively. to_pandas() df Lastly, we can convert the table data into a CSV file. See "Note 4 - Commitments and Contingencies." (3)

Machine Learning 71

Machine Learning Machine Learning Data Analysis Data Analysis 71

IBM Journey to AI blog

OCTOBER 12, 2023

To optimize data analytics and AI workloads, organizations need a data store built on an open data lakehouse architecture. This type of architecture combines the performance and usability of a data warehouse with the flexibility and scalability of a data lake. Learn more about IBM watsonx 1.

AI 76

AI AI Data Scientist Data Governance 76

phData

MAY 25, 2023

One of the easiest ways for Snowflake to achieve this is to have analytics solutions query their data warehouse in real-time (also known as DirectQuery). Both companies seem to recognize this “necessary evil” dynamic as they continue to be partners as of 2022. This ensures the maximum amount of Snowflake consumption possible.

Power BI 84

Power BI Analytics Analytics Azure 84

phData

APRIL 18, 2023

Data, technology, and improved trade execution could all be utilized by businesses to increase investment returns, spur innovation, and provide better investor experiences. Snowflake’s data sharing enables AMCs to join internal data with third-party market data, as well as data that sits across applications and data warehouses.

Data Silos 52

Data Silos ETL Clustering Data Warehouse 52

Alation

JANUARY 13, 2022

Data mesh forgoes technology edicts and instead argues for “decentralized data ownership” and the need to treat “data as a product”. Gartner on Data Fabric. Moreover, data catalogs play a central role in both data fabric and data mesh. Let’s turn our attention now to data mesh.

Data Lakes 59

Data Lakes Data Governance Data Quality Data Warehouse 59

IBM Journey to AI blog

MAY 17, 2023

They use drones for tasks as simple as aerial photography or as complex as sophisticated data collection and processing. billion in 2022 to USD 47.38 Knowledge catalogues can help organize data effectively, and the data refinery provides out-of-box models for data cleansing.

Data Warehouse 77

Data Warehouse ML ML Deep Learning 77

phData

SEPTEMBER 20, 2023

It’s all about breaking down data silos, empowering domain teams to take ownership of their data, and fostering a culture of data collaboration. And when it comes to implementing a data mesh, one platform has been making waves in the data world: the Snowflake Data Cloud.

Data Silos 52

Data Silos Database Data Quality Data Engineering 52

phData

MAY 12, 2023

” This is where you might think about data clustering to increase throughput and decrease latency for your queries. In this blog, we will explore the option of data clustering. What is Clustering Data in Snowflake? This makes insert operations costlier but improves query performance. Why Do We Need Micro-Partitions?

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Clustering Database Data Warehouse Analytics 64

AWS Machine Learning Blog

FEBRUARY 28, 2023

In this post, we used Amazon S3 as the input data source for SageMaker Canvas. However, we can also import data into SageMaker Canvas directly from Amazon RedShift and Snowflake—popular enterprise data warehouse services used by many customers to organize their data and popular third-party solutions.

ML 72

ML ML AWS Machine Learning 72

Smart Data Collective

OCTOBER 13, 2021

There is no disputing the fact that the collection and analysis of massive amounts of unstructured data has been a huge breakthrough. This is something that you can learn more about in just about any technology blog. We would like to talk about data visualization and its role in the big data movement.

Data Visualization 136

Data Visualization Big Data Big Data Predictive Analytics 136

DataRobot

JANUARY 20, 2022

The UK Government Health and Care Bill sets up Integrated Care Systems (ICSs) as legal entities from July 2022. The following is a summary list of the key data-related priorities facing ICSs during 2022 and how we believe the combined Snowflake & DataRobot AI Cloud Platform stack can empower the ICS teams to deliver on these priorities.

Data Warehouse 145

Data Warehouse Data Science AI AI 145

phData

NOVEMBER 9, 2023

This blog was originally written by Keith Smith and updated for 2024 by Justin Delisi. Snowflake’s Data Cloud has emerged as a leader in cloud data warehousing. What Components Make up the Snowflake Data Cloud? In 2022, the term data mesh has started to become increasingly popular among Snowflake and the broader industry.

Data Warehouse 98

Data Warehouse Data Lakes Clustering Cloud Data 98

phData

APRIL 20, 2023

In today’s world, data-driven applications demand more flexibility, scalability, and auditability, which traditional data warehouses and modeling approaches lack. This is where the Snowflake Data Cloud and data vault modeling comes in handy. What is Data Vault Modeling?

Data Warehouse 72

Data Warehouse Data Governance Clustering Database 72

phData

AUGUST 21, 2023

This post was co-written by Sam Hall and Dakota Kelley In our previous blog , we talked about some of the challenges that larger enterprise data teams may have around modernizing their data architecture to implement best practices and free up time and resources to build more value using their data.

Data Warehouse 52

Data Warehouse SQL Cloud Data Database 52