AWS Big Data

NOVEMBER 16, 2023

Amazon Redshift is a popular cloud data warehouse, offering a fully managed cloud-based service that seamlessly integrates with an organization’s Amazon Simple Storage Service (Amazon S3) data lake, real-time streams, machine learning (ML) workflows, transactional workflows, and much more—all while providing up to 7.9x

Enterprise 81

Enterprise Data Warehouse Snapshot Cost-Benefit 81

Jet Global

OCTOBER 2, 2019

There’s nothing to analyze, or apply a learning algorithm to—when it comes to any intelligence solution, data is the foundation upon which it must be built. By using Structured Query Language, or SQL, the language used to manipulate and extract data stored in cubes. Without data to act upon, there’s no ‘intelligence’ in AI or BI.

Enterprise 40

Enterprise OLAP Business Intelligence Cost-Benefit 40

AWS Big Data

APRIL 3, 2023

With Amazon Redshift, you can query data across your data warehouse, operational data stores, and data lake using standard SQL. To learn about new options for database scripting, refer to Accelerate your data warehouse migration to Amazon Redshift – Part 4. The converted scripts run on Amazon Redshift with little to no changes.

Data Warehouse 95

Data Warehouse Testing Data Lake Data-driven 95

Domino Data Lab

APRIL 3, 2019

Plus, the more mature machine learning (ML) practices place greater emphasis on these kinds of solutions than the less experienced organizations. That presented an opportunity to learn, putting me in the same position as much of the audience. Plus it’s well-nigh time for “machine learning natives” to jump into the dialog about DG.

Data Governance 84

Data Governance Machine Learning Metadata Big Data 84

DataKitchen

MAY 10, 2021

Another aspect of observability is creating the conditions that enable data teams to identify and resolve errors as quickly as possible. Best practices include continuous monitoring of machine learning models for degradations in accuracy. . Some argue that visual UI’s are better than SQL. Tie tests to alerts. Data Quality.

Testing 214

Testing Manufacturing Data Quality Statistics 214

DataKitchen

NOVEMBER 20, 2021

When people become concerned about defending their turf, it leads to less transparency, less reusable logic, and loss of control over source code. Consider a machine learning example. Resist disruption (and avoid change) – resisting change keeps a system static and unable to adapt to changing business conditions.

Testing 246

Testing Machine Learning Data Warehouse Reporting 246

AWS Big Data

JULY 28, 2023

Logical deletes You may need to keep data in a separate environment for audit purposes. You can employ Amazon Redshift row access policies and conditional dynamic masking policies to filter and anonymize the data. You can use conditional dynamic data masking policies so that designated users can see the redacted data.

Snapshot 79

Snapshot Metadata Measurement Data Warehouse 79

Sisense

JANUARY 29, 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. When you are new to programming in SQL, you will come across a lot of hard-to-search-for character operators. Boolean Logic.

Strategy 105

Strategy IT Analytics 105

Insight

MAY 20, 2020

Typically, you would determine what processing logic is needed and how much time and resources would be required using just Python, or your programming language of choice, without the use of distributed computing frameworks. that you’ll run into issues, potentially with capacity, memory, race conditions, and other obstacles.

Data Warehouse 106

Data Warehouse Optimization Interactive Cost-Benefit 106

AWS Big Data

JANUARY 22, 2024

It saved them time to get the learnings that otherwise would have been taking longer to find. In the architecture diagram, we can see that each team can be a data producer, except the team owning the central account, which serves as the central data platform, modeling the logic from multiple domains to paint the full business picture.

Data-driven 83

Data-driven Advertising Metadata Data Architecture 83

AWS Big Data

AUGUST 2, 2023

In this blog, we will walk through how we can apply existing enterprise data to better understand and estimate Scope 1 carbon footprint using Amazon Simple Storage Service (S3) and Amazon Athena , a serverless interactive analytics service that makes it easy to analyze data using standard SQL. fuel_id"="gas_emission_factor"."fuel_id";

Data Lake 68

Data Lake Measurement Visualization Data Architecture 68

FineReport

MAY 11, 2020

But when it comes to some more complicated data processing work, you need VBA to help, and it often takes a lot of time to learn VBA well. Business people who understand IT may use SQL to solve. In many cases, we need to query and filter data based on conditions. 3 Types of Reports That Business Analysts Need to Learn.

Reporting 69

Reporting Dashboards Recreation/Entertainment Visualization 69

AWS Big Data

MARCH 9, 2023

Dimensions provide answers to exploratory business questions by allowing end-users to slice and dice data in a variety of ways using familiar SQL commands. The condition rnum=1 fetches the latest record for each customer_id value.

Slice and Dice 77

Slice and Dice Data Warehouse Metrics Metadata 77

AWS Big Data

JULY 27, 2023

Name it Alabama providers and add a condition that the state must match AL. Add a join condition equaling the provider ID from both sources. Search for the table alabama_claims in the database you selected and, using the context menu, choose Preview Table , which will run a simple SELECT * SQL statement on the table.

Visualization 78

Visualization Cost-Benefit Data Quality Interactive 78

Sisense

MAY 11, 2021

Data teams dealing with larger, faster-moving cloud datasets needed more robust tools to perform deeper analyses and set the stage for next-level applications like machine learning and natural language processing. View These aren’t really “transformations”; instead they are logical representations of the tables in the Raw database.

Modeling 84

Modeling Big Data IoT Data Warehouse 84

Cloudera

JUNE 16, 2022

A number of large financial services companies use CSP to power their global fraud processing pipelines and prevent users from exploiting race conditions in the loan approval process. . Making the Lailas of the world successful: democratize streaming analytics with SQL. Convergence of batch and streaming made easy.

Data Lake 88

Data Lake Manufacturing Metadata Dashboards 88

Occam's Razor

JANUARY 7, 2014

At the simplest level this is taking what we do every day and making it significantly easier to understand… Learn more, and how to, here: Excellent Analytics Tip #21: Convert Complex Data Into Simple Logical Stories. SQL and web analytics is your wheel house."

Data-driven 140

Data-driven Consulting Reporting Marketing 140

Jet Global

FEBRUARY 23, 2024

Transform : The extracted data is then transformed based on predefined rules and logic. Because ETL tools allow the creation of reusable transformation logic, they’re able to automate the data transformation process, reducing the need for manual intervention and minimizing the risk of human error.

Data Warehouse 52

Data Warehouse Reporting Data Transformation Sales 52

Jet Global

OCTOBER 24, 2023

Faster decision-making: Real-time data enables faster decision-making, allowing organizations to respond quickly to ever-changing market conditions. Want to learn more about modernizing your SAP operational reporting? This agility helps organizations capitalize on favorable circumstances.

Reporting 52

Reporting Operational Reporting Finance Enterprise 52