KDnuggets

JANUARY 13, 2022

Learn how to query your Pandas DataFrames using the standard SQL SELECT statement, seamlessly from within your Python code.

160

160

Cloudera

OCTOBER 31, 2023

Our vision is built on two pillars: Build AI with Cloudera, powered by generative AI on AWS: Enable customers to build AI applications rapidly and cost-effectively by building capabilities and integrations between Cloudera Machine Learning and generative AI on AWS.

Machine Learning 102

Machine Learning Cost-Benefit Modeling Interactive 102

KDnuggets

SEPTEMBER 28, 2022

7 Machine Learning Portfolio Projects to Boost the Resume • How to Select Rows and Columns in Pandas Using [ ],loc, iloc,at and.iat • Decision Tree Algorithm, Explained • Free SQL and Database Course • 5 Tricky SQL Queries Solved.

Machine Learning 99

Machine Learning 99

Cloudera

JANUARY 19, 2024

As described in our recent blog post , an SQL AI Assistant has been integrated into Hue with the capability to leverage the power of large language models (LLMs) for a number of SQL tasks. This is a real game-changer for data analysts on all levels and will make SQL development faster, easier, and less error-prone.

Data Warehouse 72

Data Warehouse Data Processing Optimization Modeling 72

KDnuggets

DECEMBER 12, 2022

4 Useful Intermediate SQL Queries for Data Science • How to Select Rows and Columns in Pandas Using [ ],loc, iloc,at and.iat • 3 Free Machine Learning Courses for Beginners • 7 Essential Cheat Sheets for Data Engineering • 7 Techniques to Handle Imbalanced Data.

Data Science 110

Data Science Machine Learning 110

AWS Big Data

NOVEMBER 17, 2023

Its generative BI capabilities enable you to ask questions about your data using natural language, without having to write SQL queries or learn a BI tool. This post shows how you can use the Athena DynamoDB connector to easily query data in DynamoDB with SQL and visualize insights in QuickSight. Choose Next.

Visualization 83

Visualization Metadata Testing Internet of Things 83

KDnuggets

OCTOBER 20, 2022

Free Python for Data Science Course • 7 Machine Learning Portfolio Projects to Boost the Resume • Free Algorithms in Python Course • How to Select Rows and Columns in Pandas • 5 Data Science Skills That Pay & 5 That Don't • Everything You’ve Ever Wanted to Know About Machine Learning • Free SQL and Database Course • 7 Data Analytics Interview (..)

Data Science 110

Data Science Machine Learning Data Analytics Analytics 110

AWS Big Data

NOVEMBER 29, 2023

dbt is an open source, SQL-first templating engine that allows you to write repeatable and extensible data transforms in Python and SQL. dbt is an open source, SQL-first templating engine that allows you to write repeatable and extensible data transforms in Python and SQL. To learn more, refer to About dbt models.

Data Lake 103

Data Lake Management Metrics Data Warehouse 103

AWS Big Data

MAY 21, 2024

Initially, searches from Hub queried LINQ’s Microsoft SQL Server database hosted on Amazon Elastic Compute Cloud (Amazon EC2), with search times averaging 3 seconds, leading to reduced adoption and negative feedback. For example, let’s explore a use case of a refrigerator listed in the SQL Server database. million record updates daily.

Manufacturing 97

Manufacturing Sales Optimization Data Processing 97

AWS Big Data

FEBRUARY 15, 2024

AWS Lake Formation makes it straightforward to centrally govern, secure, and globally share data for analytics and machine learning (ML). To learn more about setting up permissions for a data lake administrator, see Create a data lake administrator. Select the managed application that starts with redshift-iad and choose Edit.

Management 89

Management Data Lake Sales Data Warehouse 89

KDnuggets

SEPTEMBER 13, 2022

Free Python for Data Science Course • How to Select Rows and Columns in Pandas Using [ ],loc, iloc,at and.iat • Everything You've Ever Wanted to Know About Machine Learning • 7 Tips for Python Beginners • 5 Tricky SQL Queries Solved.

Data Science 105

Data Science Machine Learning 105

Cloudera

DECEMBER 21, 2023

Now imagine you had a personal assistant who knew everything about your data sets and was an expert in SQL, sitting alongside you every step of the way to help you quickly problem solve, write optimized code, explain queries, and much more. Well imagine it no longer, as Cloudera’s SQL AI Assistant is exactly that!

Optimization 67

Optimization Sales Data Warehouse Measurement 67

AWS Big Data

MARCH 27, 2024

Make sure to select the option Preload sample data when creating your data store. To learn about how to un-nest semi-structured data with Amazon Redshift, see Tutorial: Querying nested data with Amazon Redshift Spectrum. They contain a precomputed result set, based on a SQL query over one or more base tables.

Data Analytics 91

Data Analytics Analytics Data Warehouse Data Lake 91

AWS Big Data

JANUARY 17, 2024

Select I acknowledge that AWS CloudFormation might create IAM resources with custom names. Select Allow external engines to filter data in Amazon S3 locations registered with Lake Formation. Select IAM users and roles. For Database permissions , select Describe. For Catalog permissions , select Create database.

Data Lake 94

Data Lake Snapshot Big Data Data-driven 94

KDnuggets

NOVEMBER 21, 2022

Git for Data Science Cheatsheet • 6 Best Free Online Courses to Learn Python and Boost Your Career • How to Select Rows and Columns in Pandas Using [ ],loc, iloc,at and.iat • How LinkedIn Uses Machine Learning To Rank Your Feed • 7 SQL Concepts You Should Know For Data Science.

Data Science 87

Data Science Machine Learning 87

AWS Big Data

AUGUST 7, 2023

Amazon Redshift ML makes it easy for data analysts and database developers to create, train, and apply machine learning (ML) models using familiar SQL commands in Amazon Redshift. With Redshift ML, you can take advantage of Amazon SageMaker , a fully managed ML service, without learning new tools or languages.

Forecasting 85

Forecasting Data Warehouse Machine Learning Modeling 85

AWS Big Data

APRIL 28, 2023

Amazon Redshift is a fast, scalable, secure, and fully managed cloud data warehouse that makes it simple and cost-effective to analyze all your data using standard SQL and your existing ETL (extract, transform, and load), business intelligence (BI), and reporting tools. For example, you can run SQL from JavaScript.

Interactive 92

Interactive Metadata Data Warehouse Data-driven 92

KDnuggets

JULY 13, 2023

Learn about Indexing in SQL and how you can increase the retrieval speed of the SELECT queries and WHERE clauses.

Optimization 75

Optimization 75

AWS Big Data

MARCH 18, 2024

Our data is in Amazon Redshift, so we need to access the Location Service APIs using SQL statements. Amazon Redshift allows developers to create UDFs using a SQL SELECT clause, Python, or Lambda. Then we register this Lambda function as a UDF with our Redshift instance, allowing us to call the function from a SQL command.

Data Warehouse 81

Data Warehouse Visualization Snapshot Data-driven 81

AWS Big Data

SEPTEMBER 22, 2023

Amazon Redshift has added many features to enhance analytical processing like ROLLUP, CUBE and GROUPING SETS , which were demonstrated in the post Simplify Online Analytical Processing (OLAP) queries in Amazon Redshift using new SQL constructs such as ROLLUP, CUBE, and GROUPING SETS.

Data Warehouse 104

Data Warehouse OLAP Risk Online Analytical Processing 104

Cloudera

OCTOBER 12, 2021

At the end of May, we released the second version of Cloudera SQL Stream Builder (SSB) as part of Cloudera Streaming Analytics (CSA). Since then, we have added a RESTful API as a first class citizen to SSB, doubled down on Flink SQL for defining all aspects of SQL jobs, and upgraded to Apache Flink 1.13. Flink SQL scripts.

Analytics 113

Analytics Modeling IT 113

Smart Data Collective

AUGUST 23, 2022

However, some companies have to learn the hard way that desiring to utilize big data is not enough. This entails using SQL servers appropriately. One of the things that you need to understand while running a data-driven company is how to use drop tables with SQL servers. Using Drop Tables for Your Data-Driven Business.

Big Data 87

Big Data Data Strategy Strategy Data-driven 87

AWS Big Data

OCTOBER 18, 2023

Using Spark SQL to run Hive workloads provides not only the simplicity of SQL-like queries but also taps into the exceptional speed and performance provided by Spark. Spark SQL is an Apache Spark module for structured data processing. Starting from version 1.2.0, Apache Spark has supported queries written in HiveQL.

Big Data 81

Big Data Data Processing Interactive Testing 81

AWS Big Data

JULY 28, 2023

Examples cover code snippets in Python and SQL for both frameworks across three major themes: data preparation, data processing, and data enrichment. The three layers of API are Process Functions (also known as the Stateful Stream Processing API), DataStream, and Table and SQL. Operations are supported in Scala, Java, Python, and R.

Data Processing 83

Data Processing Big Data Data Quality Technology 83

Cloudera

JUNE 3, 2022

Data scientists and machine learning engineers in enterprise organizations need to fully understand their data in order to properly analyze it, build models, and power machine learning use cases across their business. Once the session starts, CML shows the data connections from the project and offers snippets to create a connection.

Dashboards 90

Dashboards Visualization Machine Learning Data Science 90

AWS Big Data

OCTOBER 3, 2023

To learn more about the available optimize data executors and catalog properties, refer to the README file in the GitHub repo. show() In the following steps, we create a new Iceberg table from the Spark/Parquet table using CTAS (Create Table As Select). As of this writing, only the optimize-data optimization is supported.

Optimization 110

Optimization Snapshot Data Lake Metadata 110

AWS Big Data

JUNE 29, 2023

In this post, we discuss why AWS recommends moving from Kinesis Data Analytics for SQL Applications to Amazon Kinesis Data Analytics for Apache Flink to take advantage of Apache Flink’s advanced streaming capabilities.

Data Analytics 74

Data Analytics Analytics IoT Data Lake 74

AWS Big Data

DECEMBER 12, 2023

You can use your preferred SQL clients to analyze your data in an Amazon Redshift data warehouse. In this post, we focus on Okta as the IdP and provide step-by-step guidance to integrate a Redshift provisioned cluster with Okta using the Redshift Query Editor v2 and with SQL clients like SQL Workbench/J.

Data Warehouse 96

Data Warehouse Management Finance Analytics 96

AWS Big Data

JULY 31, 2023

Customers often use many SQL scripts to select and transform the data in relational databases hosted either in an on-premises environment or on AWS and use custom workflows to manage their ETL. On the Review stack page, select the check boxes to acknowledge the creation of IAM resources. Select s3_crawler and choose Run.

Sales 52

Sales Data Warehouse Visualization Testing 52

AWS Big Data

AUGUST 31, 2023

Amazon Redshift is a fast, fully managed petabyte-scale cloud data warehouse that makes it simple and cost-effective to analyze all your data using standard SQL and your existing business intelligence (BI) tools. You need to update the S3 location before running the SQL. Iceberg stores the metadata pointer for all the metadata files.

Data Lake 93

Data Lake Data Warehouse Metadata Data Architecture 93

AWS Big Data

MAY 23, 2024

In this post, you’ll learn how to author dynamic rules in your AWS Glue job in order to take appropriate actions based on the outcome. Choose Launch Stack : Select I acknowledge that AWS CloudFormation might create IAM resources. To learn more about job bookmarks, refer to Tracking processed data using job bookmarks.

Data Quality 86

Data Quality Metrics Data Lake Sales 86

AWS Big Data

OCTOBER 31, 2023

Select the Snowflake enterprise edition for the AWS Cloud platform. airflow-blog-bucket-ACCOUNT_ID/dags/mwaa_snowflake_queries – The bucket used for storing the Snowflake SQL queries. Under Security groups , leave Create new security group selected. For Select Service , choose S3. Expand Read level and select GetObject.

Data Processing 90

Data Processing Management Publishing Testing 90

AWS Big Data

MAY 16, 2024

To learn more details about their benefits, see Introduction to Spatial Indexes. Learn more about these differences in CARTO’s free ebook Spatial Indexes Benefits of H3 One of the flagship examples of spatial indexes is H3, which is a hexagonal spatial index. To learn more, visit CARTO.

Data Warehouse 108

Data Warehouse Visualization Cost-Benefit Optimization 108

KDnuggets

JANUARY 19, 2022

A Deep Look Into 13 Data Scientist Roles and Their Responsibilities; Top Five SQL Window Functions You Should Know For Data Science Interviews; 5 Things to Keep in Mind Before Selecting Your Next Data Science Job; Models Are Rarely Deployed: An Industry-wide Failure in Machine Learning Leadership; Running Redis on Google Colab.

Data Science 90

Data Science Machine Learning Modeling 90

Sisense

JANUARY 7, 2020

SQL is one of the analyst’s most powerful tools. In SQL Superstar , we give you actionable advice to help you get the most out of this versatile language and create beautiful, effective queries. The SQL order of execution defines the order in which the clauses of a query are evaluated. Creating order. WHERE Clause.

Optimization 104

Optimization IT 104

AWS Big Data

APRIL 26, 2024

AWS Lake Formation allows data administrators to centrally govern, secure, and share data for analytics and machine learning (ML). For Setup options ¸ select Custom. For S3 location for Workspace storage , select Select existing location and enter an existing S3 bucket (if you have one). Choose Create Studio.

Analytics 95

Analytics Data Lake Management Enterprise 95

Business Over Broadway

JUNE 29, 2020

The practice of data science, including work in machine learning and artificial intelligence, requires the use of analytics tools, technologies and programming languages. A recent survey of nearly 20,000 data professionals by Kaggle revealed that Python, SQL and R continue to be the most popular programming languages.

Machine Learning 128

Machine Learning Data Science Technology Analytics 128