phData

NOVEMBER 8, 2024

Versioning also ensures a safer experimentation environment, where data scientists can test new models or hypotheses on historical data snapshots without impacting live data. Note : Cloud Data warehouses like Snowflake and Big Query already have a default time travel feature. FAQs What is a Data Lakehouse?

Data Lakes 52

Data Lakes Data Warehouse Database Azure 52

AWS Machine Learning Blog

JUNE 13, 2023

The combination of large language models (LLMs), including the ease of integration that Amazon Bedrock offers, and a scalable, domain-oriented data infrastructure positions this as an intelligent method of tapping into the abundant information held in various analytics databases and data lakes.

Database 99

Database SQL AWS AI 99

AWS Machine Learning Blog

AUGUST 20, 2024

To bridge this gap, you need advanced natural language processing (NLP) to map user queries to database schema, tables, and operations. You can simply ask questions like “What were the sales for outdoor gear in Q3 2023?” Amazon Q Business analyzes intent, accesses data sources, and generates the SQL query.

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SQL AWS Database Natural Language Processing 121

ODSC - Open Data Science

AUGUST 23, 2023

Modin empowers practitioners to use pandas on data at scale, without requiring them to change a single line of code. Modin leverages our cutting-edge academic research on dataframes — the abstraction underlying pandas to bring the best of databases and distributed systems to dataframes. Run operations in pandas - all in Snowflake!

Data Warehouse 52

Data Warehouse Data Science Database SQL 52

IBM Journey to AI blog

MAY 9, 2023

IBM today announced it is launching IBM watsonx.data , a data store built on an open lakehouse architecture, to help enterprises easily unify and govern their structured and unstructured data, wherever it resides, for high-performance AI and analytics. What is watsonx.data?

Data Warehouse 92

Data Warehouse AWS AI AI 92

IBM Journey to AI blog

SEPTEMBER 11, 2023

Thus, was born a single database and the relational model for transactions and business intelligence. Db2 (LUW) was born in 1993, and 2023 marks its 30th anniversary. Customers can also choose to run IBM Db2 database and IBM Db2 Warehouse as a fully managed service.

Database 101

Database SQL Data Warehouse Machine Learning 101

phData

JANUARY 10, 2024

Imagine you wanted to build a dbt project for your existing source data warehouse in your migration to Snowflake. You could leverage the data source tool to profile your source, apply a template against the generated metadata, and automatically create a dbt project with models for each table!

Data Warehouse 52

Data Warehouse Data Profiling Data Pipeline Database 52

IBM Journey to AI blog

OCTOBER 30, 2023

Overall, this partnership enables the retailer to make data-driven decisions, improve supply chain efficiency and ultimately boost customer satisfaction, all in a secure and scalable cloud environment. The platform provides an intelligent, self-service data ecosystem that enhances data governance, quality and usability.

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AWS AI Data Warehouse AI 95

Precisely

JULY 12, 2024

For instance, you may have a database of customer names and addresses that is accurate and valid, but if you do not also have supporting data that gives you context about those customers and their relationship to your company, that database is not as useful as it could be. That is where data integrity comes into play.

Data Quality 105

Data Quality Data Governance Database Analytics 105

phData

NOVEMBER 13, 2023

Join us as we navigate the key takeaways defining the future of data transformation. dbt Mesh Enterprises today face the challenge of managing massive, intricate data projects that can slow down innovation. In mid-2023, many companies were wrangling with more than 5,000 dbt models. Figure 5: dbt Cloud CLI.

Database 52

Database Business Intelligence Business Intelligence Data Silos 52

Mlearning.ai

FEBRUARY 16, 2023

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. In this article, you’ll discover what a Snowflake data warehouse is, its pros and cons, and how to employ it efficiently.

Data Warehouse 52

Data Warehouse Business Intelligence Business Intelligence Database 52

IBM Journey to AI blog

JULY 24, 2024

Enhancing AI and analytics with unified data access  Hybrid cloud architectures are proving instrumental in advancing AI and analytics capabilities. A 2023 Gartner survey reveals that “two out of three enterprises use hybrid cloud to power their AI initiatives”, underscoring its critical role in modern data strategies.

Data Governance 69

Data Governance Data Warehouse Data Preparation Analytics 69

Tableau

APRIL 3, 2023

Madeleine Corneli Senior Manager, Product Management, Tableau Adiascar Cisneros Manager, Product Management, Tableau Bronwen Boyd April 3, 2023 - 5:27pm April 3, 2023 Google Cloud’s BigQuery is a serverless, highly-scalable cloud-based data warehouse solution that allows users to store, query, and analyze large datasets quickly.

Tableau 52

Tableau SQL Data Warehouse Database 52

Pickl AI

NOVEMBER 4, 2024

Role of Data Engineers in the Data Ecosystem Data Engineers play a crucial role in the data ecosystem by bridging the gap between raw data and actionable insights. They are responsible for building and maintaining data architectures, which include databases, data warehouses, and data lakes.

Data Engineer 52

Data Engineer Data Engineering Data Engineering Data Engineering 52

phData

SEPTEMBER 15, 2023

Salesforce Sync Out is a crucial tool that enables businesses to transfer data from their Salesforce platform to external systems like Snowflake, AWS S3, and Azure ADLS. Warehouse for loading the data (start with XSMALL or SMALL warehouses).

Data Warehouse 52

Data Warehouse Tableau Data Silos Analytics 52

AWS Machine Learning Blog

SEPTEMBER 18, 2024

Context In early 2023, Zeta’s machine learning (ML) teams shifted from traditional vertical teams to a more dynamic horizontal structure, introducing the concept of pods comprising diverse skill sets. Additionally, Feast promotes feature reuse, so the time spent on data preparation is reduced greatly.

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AWS Machine Learning Machine Learning ML 123

IBM Journey to AI blog

SEPTEMBER 25, 2023

Because of its distributed nature, Presto scales for petabytes and exabytes of data. The evolution of Presto at Uber Beginning of a data analytics journey Uber began their analytical journey with a traditional analytical database platform at the core of their analytics. EMA Technical Case Study, sponsored by Ahana.

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Data Lakes Analytics Analytics Clustering 102

IBM Journey to AI blog

NOVEMBER 8, 2023

At the beginning of the year, we laid out a new strategy for IBM Power under the leadership of Ken King, who will be retiring by the end of 2023 after forty years with IBM. Oracle will be releasing Oracle Database 23c on Power , as part of their next Long Term Release as reported in April 2023.

AI 107

AI AI Data Warehouse Data Science 107

IBM Journey to AI blog

JULY 17, 2023

Through workload optimization across multiple query engines and storage tiers, organizations can reduce data warehouse costs by up to 50 percent. 1 Watsonx.data offers built-in governance and automation to get to trusted insights within minutes, and integrations with existing databases and tools to simplify setup and user experience.

AI 74

AI AI Machine Learning Machine Learning 74

phData

JANUARY 4, 2023

The Snowflake Data Cloud is a modern data warehouse that allows companies to take advantage of its cloud-based architecture to improve efficiencies while at the same time reducing costs. Data Sharing Enterprises can easily create data sharing relationships with direct, governed, and secure sharing in near-real time.

Data Warehouse 52

Data Warehouse SQL Database ETL 52

The MLOps Blog

JANUARY 26, 2024

A feature store is a data platform that supports the creation and use of feature data throughout the lifecycle of an ML model, from creating features that can be reused across many models to model training to model inference (making predictions). It can also transform incoming data on the fly.

Machine Learning 72

Machine Learning Machine Learning ML ML 72

phData

FEBRUARY 8, 2024

group_map": {}, "saved_queries": {}, "semantic_models": {} } Catalog The catalog.json file contains metadata about the data sources used in the project. The file tracks changes to the data sources and ensures that the data model is consistent with the data sources. Top-level Keys: metadata , nodes , sources , errors.

Data Models 52

Data Models Data Modeling Data Warehouse Database 52

phData

JULY 18, 2023

The Ultimate Modern Data Stack Migration Guide phData Marketing July 18, 2023 This guide was co-written by a team of data experts, including Dakota Kelley, Ahmad Aburia, Sam Hall, and Sunny Yan. Imagine a world where all of your data is organized, easily accessible, and routinely leveraged to drive impactful outcomes.

Data Warehouse 52

Data Warehouse Analytics Analytics Cloud Data 52

phData

NOVEMBER 1, 2023

This blog was originally written by Keith Smith and updated for 2023/2024 by Justin Delisi. The Snowflake Data Cloud offers a scalable, cloud-native data warehouse that provides the flexibility, performance, and ease of use needed to meet the demands of modern businesses. Are you going to be using Materialized Views?

Data Warehouse 52

Data Warehouse SQL Database Cloud Computing 52

Pickl AI

JANUARY 15, 2025

As businesses increasingly rely on data-driven strategies, the global BI market is projected to reach US$36.35 billion in 2029 , reflecting a compound annual growth rate (CAGR) of 5.35% from 2023 to 2029. The rise of big data, along with advancements in technology, has led to a surge in the adoption of BI tools across various sectors.

Business Intelligence 52

Business Intelligence Business Intelligence Power BI Data Visualization 52

phData

MAY 14, 2024

They will focus on organizing data for quicker queries, optimizing virtual data warehouses, and refining query processes. The result is a data warehouse offering faster query responses, improved performance, and cost efficiency throughout your Snowflake account.

SQL 52

SQL Data Warehouse Data Engineering Data Engineering 52

IBM Journey to AI blog

JUNE 2, 2023

improved document management capabilities, web portals, mobile applications, data warehouses, enhanced location services, etc.) .” For example, the core systems technology landscape for each state could be a mainframe legacy system with varying degrees of maturity, portability, reliability and scalability.

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AWS Data Warehouse Cloud Data Database 100

phData

MARCH 31, 2023

For data-intensive tasks like ML inference, Snowpark lets you send your logic to the data, eliminating the time-consuming process of copying data to where a model is hosted and copying inferences back to your database. How Does Hex Enable Data Science? Want to learn more? Can’t wait?

Data Science 59

Data Science Machine Learning Machine Learning Python 59

IBM Journey to AI blog

AUGUST 3, 2023

Another challenge with data being rapidly moved to the cloud and stored across multiple environments means it is highly likely for enterprises to lose visibility of their sensitive data. To help meet data compliance goals, Guardium Insights provides out-of-the-box policy templates to simplify regulatory compliance.

Azure 71

Azure Database Analytics Analytics 71

phData

SEPTEMBER 26, 2023

Sources The sources involved could influence or determine the options available for the data ingestion tool(s). These could include other databases, data lakes, SaaS applications (e.g. Salesforce), Access databases, SharePoint, or Excel spreadsheets. The necessary access is granted so data flows without issue.

SQL 52

SQL Database ETL Data Models 52

The MLOps Blog

OCTOBER 20, 2023

Placing functions for plotting, data loading, data preparation, and implementations of evaluation metrics in plain Python modules keeps a Jupyter notebook focused on the exploratory analysis | Source: Author Using SQL directly in Jupyter cells There are some cases in which data is not in memory (e.g.,

SQL 52

SQL Database Data Scientist Python 52

AWS Machine Learning Blog

JUNE 7, 2023

With this announcement of enhancements to the Table feature, the extraction of various aspects of tabular data becomes much simpler. In April 2023, Amazon Textract introduced the ability to automatically detect titles, footers, section titles, and summary rows present in documents via the Tables feature.

Machine Learning 96

Machine Learning Machine Learning Data Analysis Data Analysis 96

Flipboard

MARCH 21, 2025

Traditionally, answering this question would involve multiple data exports, complex extract, transform, and load (ETL) processes, and careful data synchronization across systems. The existing Data Catalog becomes the Default catalog (identified by the AWS account number) and is readily available in SageMaker Lakehouse.

SQL 140

SQL Data Analyst Data Warehouse AWS 140

phData

SEPTEMBER 20, 2023

A data mesh is a conceptual architectural approach for managing data in large organizations. Traditional data management approaches often involve centralizing data in a data warehouse or data lake, leading to challenges like data silos, data ownership issues, and data access and processing bottlenecks.

Data Silos 52

Data Silos Database Data Quality Data Engineering 52

phData

NOVEMBER 2, 2023

Dynamic Tables Change Data Capture (CDC) Change Data Capture (CDC) is a technique used in data management to identify and capture changes in data over time. It records modifications, inserts, and deletions in a database, enabling real-time or near-real-time tracking of data changes.

Data Pipeline 52

Data Pipeline SQL Data Warehouse Data Engineering 52

The MLOps Blog

JANUARY 23, 2023

However, there are some key differences that we need to consider: Size and complexity of the data In machine learning, we are often working with much larger data. Basically, every machine learning project needs data. First of all, machine learning engineers and data scientists often use data from different data vendors.

ML 52

ML ML Data Lakes Machine Learning 52

Iguazio

JANUARY 22, 2024

You can watch the full talk this blog post is based on, which took place at ODSC West 2023, here. Feedback - ​Collect production data, metadata, and metrics to tune the model and application further, and to enable governance and explainability. To productize a GenAI application, four architectural elements are needed: 1.

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Data Pipeline ML ML Data Warehouse 52