O'Reilly on Data

SEPTEMBER 15, 2021

When we looked at the most popular programming languages for data and AI practitioners, we didn’t see any surprises: Python was dominant (61%), followed by SQL (54%), JavaScript (32%), HTML (29%), Bash (29%), Java (24%), and R (20%). The tools category includes tools for building and maintaining data pipelines, like Kafka.

Machine Learning 363

Machine Learning Statistics Reporting Consulting 363

AWS Big Data

DECEMBER 10, 2024

To interact with and analyze data stored in Amazon Redshift, AWS provides the Amazon Redshift Query Editor V2 , a web-based tool that allows you to explore, analyze, and share data using SQL. The Query Editor V2 offers a user-friendly interface for connecting to your Redshift clusters, executing queries, and visualizing results.

Sales 105

Sales Metadata Enterprise Testing 105

datapine

OCTOBER 14, 2020

This example shows additional information for the net profit: the top 5 product categories by using a drill-through. Sometimes referred to as nested charts, they are especially useful in tables, where you can access additional drilldown options such as aggregated data for categories/breakdowns (e.g. 8) Advanced Data Options.

Dashboards 235

Dashboards Interactive Reporting KPI 235

AWS Big Data

NOVEMBER 27, 2024

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, business intelligence (BI), and reporting tools. Wait a few seconds and run the following SQL query to see integration in action.

Data Warehouse 110

Data Warehouse Analytics Testing Sales 110

DataKitchen

APRIL 13, 2021

Because it is such a new category, both overly narrow and overly broad definitions of DataOps abound. Redgate — SQL tools to help users implement DataOps, monitor database performance, and provision of new databases. . To date, we count over 100 companies in the DataOps ecosystem. Sandbox Creation and Management.

Testing 304

Testing Machine Learning Consulting Data Science 304

KDnuggets

FEBRUARY 24, 2023

This article will discuss SQL visualization, its role in augmenting the modern-day data engineer, and five categories of SQL visualization tools.

Visualization 111

Visualization IT 111

O'Reilly on Data

FEBRUARY 18, 2020

Starting with data engineering, the backbone of all data work (the category includes titles covering data management, i.e., relational databases, Spark, Hadoop, SQL, NoSQL, etc.). This slowdown suggests that cloud as a category has achieved such a large share that (mathematically) any additional growth must occur at a slower rate.

Data-driven 363

Data-driven Software Statistics Marketing 363

AWS Big Data

MARCH 6, 2025

The groups for the illustration can be broadly classified into the following categories: Regional sales managers will be granted access to view sales data only for the specific country or region they manage. Args: sql (str): The SQL query to execute. redshift_client (boto3.client): client): The Redshift Data API client.

Visualization 103

Visualization Sales Data Warehouse Management 103

Smart Data Collective

AUGUST 9, 2022

NoSQL databases are the alternative to SQL databases. A “NoSQL database” is an umbrella term that covers all types of non-relational databases – that is, all non SQL databases, as the name suggests. While SQL databases store data in rigid relational tables, NoSQL databases provide more flexibility. Ease of use. Fast queries.

Data-driven 122

Data-driven Big Data Software Management 122

FineReport

JANUARY 5, 2020

The bar chart below shows the sales of each category of products, and the line chart above shows the annual sales of a certain category of products. In the upper right corner of the dashboard is a word cloud diagram showing the categories of Christmas gifts people most want. We can also customize the style of the flow lines.

Dashboards 95

Dashboards Sales Visualization Reporting 95

AWS Big Data

APRIL 24, 2023

Solution overview To explain this setup, we present the following architecture, which integrates Amazon S3 for the data lake (Iceberg table format), Lake Formation for access control, AWS Glue for ETL (extract, transform, and load), and Athena for querying the latest inventory data from the Iceberg tables using standard SQL.

Data Lake 98

Data Lake Data Governance Machine Learning Cost-Benefit 98

AWS Big Data

JULY 2, 2024

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.

Data Warehouse 118

Data Warehouse Sales Testing Big Data 118

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 114

Visualization Metadata Testing Internet of Things 114

AWS Big Data

MARCH 10, 2023

Apache Iceberg overview Iceberg is an open-source table format that brings the power of SQL tables to big data files. It enables ACID transactions on tables, allowing for concurrent data ingestion, updates, and queries, all while using familiar SQL.

Data Lake 121

Data Lake Sales Data Warehouse Snapshot 121

Smart Data Collective

MAY 29, 2023

Three Different Analysts Data analysis as a whole is a very broad concept which can and should be broken down into three separate, more specific categories : Data Scientist, Data Engineer, and Data Analyst. Before moving into the hiring process though, it would be helpful to narrow down what type of data your business is managing.

Data Collection 104

Data Collection Big Data Statistics Software 104

AWS Big Data

FEBRUARY 16, 2024

Amazon Redshift Spectrum enables you to run Amazon Redshift SQL queries on data stored in Amazon S3. For Service category , select AWS services. For Service category , select AWS services. For Service category , select AWS services. Redshift Spectrum uses the AWS Glue Data Catalog as a Hive metastore. Congratulations!

Data Lake 118

Data Lake Data Warehouse Testing Business Objectives 118

Smart Data Collective

SEPTEMBER 8, 2021

It is considered a “complex to license and expensive tool” that often overlaps with other products in this category. AWS Data Pipeline : AWS Data Pipeline can be used to schedule regular processing activities such as SQL transforms, custom scripts, MapReduce applications, and distributed data copy. Conclusion.

Data Warehouse 126

Data Warehouse Data Integration Marketing Software 126

AWS Big Data

AUGUST 12, 2024

Next, the function will summarize recommendations by each provisioned cluster (for all clusters in the account or a single cluster, depending on your settings) based on the impact on performance and cost as HIGH, MEDIUM, and LOW categories. SQL commands are included as part of the Advisor’s recommended action.

Cost-Benefit 105

Cost-Benefit Data Warehouse Optimization Data Lake 105

Octopai

APRIL 20, 2023

Octopai has recently expanded its offerings by introducing unique and comprehensive DAX (Data Analysis Expressions) coverage support for Power BI, SSRS (SQL Server Reporting Services), and Tabular Analysis Services.

Sales 97

Sales Data Governance Reporting Optimization 97

Domino Data Lab

JULY 15, 2021

Key categories of tools and a few examples include: Data Sources. SQL based) to big data stores (e.g. Languages are typically broken into two categories, commercial and open source. Some are very specialized and others are much more of a “swiss army knife” type that can perform a wide variety of functions. Snowflake ).

Data Science 145

Data Science Visualization Enterprise Modeling 145

datapine

FEBRUARY 4, 2020

The funnel shows the total amount of users, leads, MQL, SQL, and customers, compared to the previous period and in relation to the set goal. On the right side of this marketing report format, you can dig deeper into relevant costs: per lead, per MQL, SQL and customer as well as total costs and net income of each metric.

Reporting 280

Reporting Marketing Advertising Metrics 280

CIO Business Intelligence

AUGUST 18, 2022

The result is an emerging paradigm shift in how enterprises surface insights, one that sees them leaning on a new category of technology architected to help organizations maximize the value of their data. Moonfare selected Dremio in a proof-of-concept runoff with AWS Athena, an interactive query service that enables SQL queries on S3 data.

Data Lake 140

Data Lake Data Warehouse Unstructured Data Business Intelligence 140

AWS Big Data

MARCH 2, 2023

It adds tables to compute engines including Spark, Trino, PrestoDB, Flink, and Hive using a high-performance table format that works just like a SQL table. spark.sql.extensions – Adds support to Iceberg Spark SQL extensions, which allows you to run Iceberg Spark procedures and some Iceberg-only SQL commands (you use this in a later step).

Data Lake 136

Data Lake Data Processing Metadata Snapshot 136

Sisense

DECEMBER 16, 2020

As another example, if your sales went up by 10%, Sisense might explain that the increase was attributable to both a specific product category and a certain age group of customer with a visual display of the breakdown. For every query, Sisense translates live widget information into SQL data.

Slice and Dice 98

Slice and Dice Analytics Data-driven Reporting 98

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.

Manufacturing 110

Manufacturing Sales Optimization Data Processing 110

FineReport

MAY 19, 2021

Purchasing analysis is usually represented as dashboards, reports, and data graphs, analyzing the company’s spending on suppliers by category or location. The following example contains the profit and category contribution rate, the sales, and directs for the next stage of the procurement plan. Purchasing Reports Samples.

Dashboards 93

Dashboards Metrics Reporting Forecasting 93

Cloudera

MAY 18, 2021

Flink SQL is a data processing language that enables rapid prototyping and development of event-driven and streaming applications. Flink SQL combines the performance and scalability of Apache Flink, a popular distributed streaming platform, with the simplicity and accessibility of SQL. You can view the code here.

Risk 99

Risk Marketing Risk Management Data-driven 99

CIO Business Intelligence

OCTOBER 19, 2023

Visualize all the services you use Power BI has hundreds of content packs, templates, and integrations for hundreds of data services, apps, and services — and not just Microsoft ones such as Dynamics 365 and SQL Server. You can also create manual metrics to update yourself.

Slice and Dice 126

Slice and Dice Scorecard Metrics Visualization 126

FineReport

NOVEMBER 7, 2019

Then we can write the SQL statement. Here we use SQL statements to create 3 datasets that indicate the sales performance from different perspectives. (In Define Category using year and Series using total_sales : Category in line charts can be seen as each label along the x-axis. Click the button + to add a new dataset.

Dashboards 76

Dashboards Visualization Sales Interactive 76

Sisense

FEBRUARY 20, 2020

In these problems, we attempt to predict whether an object or an event belongs to a certain category. In this post, we will build a sentiment analyzer using Python after preparing text data using SQL. This is best done using SQL, the most popular language for data analysts. Let’s get started. The ML Learning Process.

Testing 93

Testing Machine Learning Modeling Visualization 93

AWS Big Data

MARCH 4, 2024

Let’s add the partition field category to the Iceberg table using the AWS Glue ETL job icebergdemo1-GlueETL2-partition-evolution : ALTER TABLE glue_catalog.icebergdb1.ecomorders ecomorders ADD PARTITION FIELD category ; On the AWS Glue console, run the ETL job icebergdemo1-GlueETL2-partition-evolution. DESCRIBE icebergdb1.ecomorders

Snapshot 132

Snapshot Data Lake Metadata Recreation/Entertainment 132

AWS Big Data

NOVEMBER 9, 2023

dbt enables you to write SQL select statements, and then it manages turning these select statements into tables or views in Amazon Redshift. dbt’s SQL-based framework made it straightforward to learn and allowed the existing development team to scale up quickly.

Data Warehouse 126

Data Warehouse Testing Data Quality Reporting 126

AWS Big Data

JULY 14, 2023

The model should be able to showcase to LOBs their categories and capabilities. In the following sample data model, each business LOB has several business categories and capabilities, and each capability can be mapped to multiple APIs. The following screenshot visualizes LOBs, category, and capabilities.

Modeling 97

Modeling Visualization Reporting Measurement 97

Alation

SEPTEMBER 30, 2022

While we’re widely credited with driving the creation of the data catalog category 1 , Alation isn’t just a data catalog company. Today, we are also leaders in data governance , data lineage , and data operations – all of which are part of a broader category that IDC and others call “data intelligence.” Visibility is essential.

Measurement 92

Measurement Metrics Data Governance Sales 92

Smart Data Collective

OCTOBER 14, 2019

Users only need to include the respective path in the SQL query to get to work. In addition to supporting standard SQL, Apache Drill lets you keep depending on business intelligence tools you may already use, such as Qlik and Tableau. It allows secure and interactive SQL analytics at the petabyte scale.

Data Science 94

Data Science Machine Learning Big Data Interactive 94

AWS Big Data

DECEMBER 15, 2023

We use the following services: Amazon Redshift is a cloud data warehousing service that uses SQL to analyze structured and semi-structured data across data warehouses, operational databases, and data lakes, using AWS-designed hardware and machine learning (ML) to deliver the best price/performance at any scale.

Data Lake 118

Data Lake Data Warehouse Big Data Structured Data 118

Smart Data Collective

MARCH 29, 2022

So, whether you’ve been using Excel, SQL, CRMs, or other platforms to keep track of your data, this new technology will make accessing and configuring your data simpler. Here’s a list of contextual value examples a dimensional table may include: Products (product category, features, etc.)

Data-driven 98

Data-driven Sales Modeling Technology 98