ODSC - Open Data Science

SEPTEMBER 29, 2023

Data management problems can also lead to data silos; disparate collections of databases that don’t communicate with each other, leading to flawed analysis based on incomplete or incorrect datasets. One way to address this is to implement a data lake: a large and complex database of diverse datasets all stored in their original format.

Data Lakes 52

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ODSC - Open Data Science

SEPTEMBER 12, 2023

Editor’s note: Jeff Tao is a speaker for ODSC West 2023 this Fall. Most data scientists are familiar with the concept of time series data and work with it often. The time series database (TSDB) , however, is still an underutilized tool in the data science community. at ODSC West 2023.

Data Scientist 97

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phData

NOVEMBER 8, 2024

Note : Cloud Data warehouses like Snowflake and Big Query already have a default time travel feature. However, this feature becomes an absolute must-have if you are operating your analytics on top of your data lake or lakehouse. It can also be integrated into major data platforms like Snowflake. Contact phData Today!

Data Lakes 52

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IBM Journey to AI blog

SEPTEMBER 25, 2023

Every day, millions of riders use the Uber app, unwittingly contributing to a complex web of data-driven decisions. This blog takes you on a journey into the world of Uber’s analytics and the critical role that Presto, the open source SQL query engine, plays in driving their success. What is Presto?

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DagsHub

DECEMBER 11, 2023

A complete overview revealing a diverse range of strengths and weaknesses for each data versioning tool. Dolt Created in 2019, Dolt is an open-source tool for managing SQL databases that uses version control similar to Git. It versions tables instead of files and has a SQL query interface for those tables.

Machine Learning 98

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phData

SEPTEMBER 20, 2023

This blog was originally written by Keith Smith and updated for 2023 by Nick Goble & Dominick Rocco. You’ve probably heard of the Snowflake Data Cloud , but did you know that Snowflake also offers a revolutionary set of libraries and runtimes called Snowpark? What is Snowflake’s Snowpark? Why Does Snowpark Matter?

SQL 98

SQL Python Data Lakes Machine Learning 98

ODSC - Open Data Science

APRIL 3, 2023

Companies have plenty of data at their disposal and are looking for people who can make sense of it and make deductions quickly and efficiently. We looked at over 25,000 job descriptions, and these are the data analytics platforms, tools, and skills that employers are looking for in 2023.

Analytics 52

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AWS Machine Learning Blog

JUNE 13, 2023

The natural language capabilities allow non-technical users to query data through conversational English rather than complex SQL. The AI and language models must identify the appropriate data sources, generate effective SQL queries, and produce coherent responses with embedded results at scale.

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ODSC - Open Data Science

JULY 22, 2023

We’re a few weeks removed from ODSC Europe 2023 and we couldn’t have left on a better note. The week was filled with engaging sessions on top topics in data science, innovation in AI, and smiling faces that we haven’t seen in a while. That’s it for our ODSC Europe 2023 highlights! What’s next?

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Apache Kafka Machine Learning Machine Learning Data Science 52

ODSC - Open Data Science

JULY 27, 2023

Choosing a Data Lake Format: What to Actually Look For The differences between many data lake products today might not matter as much as you think. When choosing a data lake, here’s something else to consider. Get Pumped For ODSC West 2023 With Highlights from Last Year! Register now for 60% off.

Data Lakes 52

Data Lakes SQL AI AI 52

Mlearning.ai

JUNE 19, 2023

How you now anonymize Data more easily Photo by Dušan veverkolog on Unsplash Google has just announced the public preview of BigQuery differential privacy with SQL building blocks. You can use these functions to anonymize their data. What are Data Clean Rooms?

Data Lakes 52

Data Lakes Data Warehouse SQL ML 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

ODSC - Open Data Science

AUGUST 24, 2023

That’s why enriching your analysis with trusted, fit-for-use, third-party data is key to ensuring long-term success. 5 Jobs That Will Use Prompt Engineering in 2023 Whether you’re looking for a new career or to enhance your current path, these jobs that use prompt engineering will become desirable in 2023 and beyond.

Data Lakes 52

Data Lakes Data Science Machine Learning Machine Learning 52

ODSC - Open Data Science

MARCH 30, 2023

5 Reasons Why SQL is Still the Most Accessible Language for New Data Scientists Between its ability to perform data analysis and ease-of-use, here are 5 reasons why SQL is still ideal for new data scientists to get into the field. But there’s a problem: how on earth do you hook up that GPU?

Azure 52

Azure ML ML Data Modeling 52

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. Data flows from the current data platform to the destination. The necessary access is granted so data flows without issue.

SQL 52

SQL Database ETL Data Modeling 52

The MLOps Blog

JANUARY 23, 2023

These tools may have their own versioning system, which can be difficult to integrate with a broader data version control system. For instance, our data lake could contain a variety of relational and non-relational databases, files in different formats, and data stored using different cloud providers. DVC Git LFS neptune.ai

ML 52

ML ML Data Lakes Machine Learning 52

AWS Machine Learning Blog

APRIL 18, 2023

With the recently launched Amazon Monitron Kinesis data export v2 feature , your OT team can stream incoming measurement data and inference results from Amazon Monitron via Amazon Kinesis to AWS Simple Storage Service (Amazon S3) to build an Internet of Things (IoT) data lake. For Data stream capacity , choose On-demand.

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IBM Journey to AI blog

JUNE 11, 2024

In November 2023, Broadcom finalized its acquisition (link resides outside ibm.com) of VMware for USD 69 billion, with an aim to enhance its multicloud strategy. Generative AI-powered discovery as a service : Helps extracting key data elements from client data repositories and fast-track the application discovery process.

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AWS AI AI Data Lakes 85

DataRobot Blog

MARCH 7, 2023

The DataRobot AI Platform seamlessly integrates with Azure cloud services, including Azure Machine Learning, Azure Data Lake Storage Gen 2 (ADLS), Azure Synapse Analytics, and Azure SQL database. For more information, visit [link]. DataRobot AI Platform is available via Azure Marketplace.

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Azure Machine Learning Machine Learning AI 59

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 Engineering 52

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The MLOps Blog

OCTOBER 20, 2023

Example template for an exploratory notebook | Source: Author How to organize code in Jupyter notebook For exploratory tasks, the code to produce SQL queries, pandas data wrangling, or create plots is not important for readers. in a pandas DataFrame) but in the company’s data warehouse (e.g., documentation.

SQL 52

SQL Database Data Scientist Python 52

phData

DECEMBER 4, 2023

If you answer “yes” to any of these questions, you will need cloud storage, such as Amazon AWS’s S3, Azure Data Lake Storage or GCP’s Google Storage. Copy Into When loading data into Snowflake, the very first and most important rule to follow is: do not load data with SQL inserts!

Clustering 98

Clustering Database SQL Data Pipeline 98

IBM Journey to AI blog

JULY 17, 2023

Watsonx.data is built on 3 core integrated components: multiple query engines, a catalog that keeps track of metadata, and storage and relational data sources which the query engines directly access. 1 When comparing published 2023 list prices normalized for VPC hours of watsonx.data to several major cloud data warehouse vendors.

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AI AI Machine Learning Machine Learning 74

IBM Journey to AI blog

MARCH 14, 2024

  Redefining cloud database innovation: IBM and AWS In late 2023, IBM and AWS jointly announced the general availability of Amazon relational database service (RDS) for Db2. This service streamlines data management for AI workloads across hybrid cloud environments and facilitates the scaling of Db2 databases on AWS with minimal effort.

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AWS Database ETL AI 93

Mlearning.ai

FEBRUARY 16, 2023

Thus, the solution allows for scaling data workloads independently from one another and seamlessly handling data warehousing, data lakes , data sharing, and engineering. Data warehousing is a vital constituent of any business intelligence operation. Originally published at [link] on February 9, 2023.

Data Warehouse 52

Data Warehouse Business Intelligence Business Intelligence Database 52

IBM Journey to AI blog

JULY 15, 2024

Generative AI-powered discovery as a service: Helps extracting key data elements from client data repositories and fast-track the application discovery process. Learn how IBM expertise in security, enterprise scalability and open innovation with Red Hat® OpenShift® can help businesses grow quickly on the AWS Cloud.

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AWS AI AI Data Lakes 45

The MLOps Blog

MARCH 21, 2023

I have worked with customers where R and SQL were the first-class languages of their data science community. Solution Data lakes and warehouses are the two key components of any data pipeline. The data lake is a platform where any kind or amount of data can be stored, processed, and analyzed.

Machine Learning 69

Machine Learning Machine Learning Data Scientist ML 69

Flipboard

DECEMBER 4, 2024

The use of separate data warehouses and lakes has created data silos, leading to problems such as lack of interoperability, duplicate governance efforts, complex architectures, and slower time to value. You can use Amazon SageMaker Lakehouse to achieve unified access to data in both data warehouses and data lakes.

Data Lakes 139

Data Lakes Data Warehouse AWS Database 139

phData

SEPTEMBER 27, 2024

In transitional modeling, we’d add new atoms: Subject: Customer#1234 Predicate: hasEmailAddress Object: "john.new@example.com" Timestamp: 2023-07-24T10:00:00Z The old email address atoms are still there, giving us a complete history of how to contact John. It also requires a shift in how we query our customer data.

Data Modeling 52

Data Modeling Data Models Apache Kafka Data Lakes 52

phData

APRIL 25, 2025

If youve ever managed large Parquet or CSV datasets on Amazon S3 especially using AWS Glue youve likely faced data consistency, schema evolution, and query performance challenges. Apache Iceberg flips that model on its head by bringing database-like capabilities to your data lake. In short, migrating to Glue 4.0

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AWS Data Lakes SQL Database 52