ODSC - Open Data Science

APRIL 3, 2023

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. Data Wrangling: Data Quality, ETL, Databases, Big Data The modern data analyst is expected to be able to source and retrieve their own data for analysis.

Analytics 52

Analytics Analytics Data Analyst SQL 52

phData

SEPTEMBER 26, 2023

These could include other databases, data lakes, SaaS applications (e.g. Salesforce), Access databases, SharePoint, or Excel spreadsheets. Database Objects These include tables, schemas, databases, stored procedures , and jobs (e.g. SQL Server Agent jobs).

SQL 52

SQL Database ETL Data Modeling 52

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 those cases, most of the data exploration and wrangling will be done through SQL. documentation.

SQL 52

SQL Database Data Scientist Python 52

Pickl AI

NOVEMBER 14, 2023

From reading CSV files to accessing databases, we will get you covered about anything and everything. Here’s what you’ll discover: Diverse Data Sources: Learn to import not just plain text files but also data from a variety of other software formats, including Excel spreadsheets, SQL, and relational databases.

Python 52

Python SQL Database Data Analysis 52

IBM Journey to AI blog

SEPTEMBER 25, 2023

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. This allowed them to focus on SQL-based query optimization to the nth degree. They stood up a file-based data lake alongside their analytical database.

Data Lakes 87

Data Lakes Analytics Analytics Clustering 87

phData

JANUARY 4, 2023

As Netezza creeps closer to its end-of-life date in early 2023, you may be looking for options to migrate to, this post will provide valuable insights into why Snowflake may be the best choice. Complete SQL Database No need to learn new tools as Snowflake supports the tools millions of business users already know how to use today.

Data Warehouse 52

Data Warehouse SQL Database ETL 52

Tableau

AUGUST 21, 2023

Kuber Sharma Director, Product Marketing, Tableau Kristin Adderson August 22, 2023 - 12:11am August 22, 2023 Whether you're a novice data analyst exploring the possibilities of Tableau or a leader with years of experience using VizQL to gain advanced insights—this is your list of key Tableau features you should know, from A to Z.

Tableau 77

Tableau Database Analytics Analytics 77

phData

NOVEMBER 30, 2023

For example, you can use alerts to send notifications, capture data, or execute SQL commands when certain events or thresholds are reached in your data. As Snowflake’s 2023 Partner of the Year , phData has unmatched experience with Snowflake migrations, platform management, automation needs, and machine learning foundations.

SQL 52

SQL Cloud Data Database ETL 52

The MLOps Blog

JANUARY 26, 2024

The feature repository is essentially a database storing pre-computed and versioned features. There are ML systems, such as embedded systems in self-driving cars, that do not use feature stores as they require real-time safety-critical decisions and cannot wait for a response from an external database.

Machine Learning 73

Machine Learning Machine Learning ML ML 73

The MLOps Blog

JANUARY 23, 2023

But, it is not rare that data engineers and database administrators process, control, and store terabytes of data in projects that are not related to machine learning. Data from different formats, databases, and sources are combined together for modeling. Basically, every machine learning project needs data. DVC Git LFS neptune.ai

ML 52

ML ML Data Lakes Machine Learning 52

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

Data Lakes Clustering Big Data Big Data 52

Dataconomy

JULY 28, 2023

What are the best data preprocessing tools of 2023? In 2023, several data preprocessing tools have emerged as top choices for data scientists and analysts. It is known for its ability to connect to almost any database and offers features like reusable data flows, automating repetitive work.

Power BI 91

Power BI Data Preparation Exploratory Data Analysis Machine Learning 91

IBM Journey to AI blog

JULY 17, 2023

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. 1 When comparing published 2023 list prices normalized for VPC hours of watsonx.data to several major cloud data warehouse vendors.

AI 62

AI AI Machine Learning Machine Learning 62

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. This typically results in long-running ETL pipelines that cause decisions to be made on stale or old data.

Data Warehouse 52

Data Warehouse SQL Analytics Analytics 52

The MLOps Blog

AUGUST 3, 2023

At a high level, we are trying to make machine learning initiatives more human capital efficient by enabling teams to more easily get to production and maintain their model pipelines, ETLs, or workflows. Related post MLOps Landscape in 2023: Top Tools and Platforms Read more Why have a DAG within a DAG? Stefan: Yeah.

ML 52

ML ML Data Scientist Machine Learning 52