AWS Big Data

OCTOBER 10, 2023

Data governance is the process of ensuring the integrity, availability, usability, and security of an organization’s data. Due to the volume, velocity, and variety of data being ingested in data lakes, it can get challenging to develop and maintain policies and procedures to ensure data governance at scale for your data lake.

Data Quality 89

Data Quality Data Governance Data Lake Testing 89

AWS Big Data

MARCH 18, 2024

Many organizations operate data lakes spanning multiple cloud data stores. In these cases, you may want an integrated query layer to seamlessly run analytical queries across these diverse cloud stores and streamline your data analytics processes. To achieve this, Oktank envisions a unified data query layer using Athena.

Data Lake 98

Data Lake Analytics Cost-Benefit Management 98

AWS Big Data

JANUARY 18, 2024

AWS Lake Formation and the AWS Glue Data Catalog form an integral part of a data governance solution for data lakes built on Amazon Simple Storage Service (Amazon S3) with multiple AWS analytics services integrating with them. We announced our new features and capabilities during AWS re:Invent 2023, as is our custom every year.

Data Lake 88

Data Lake Metadata Data Governance Statistics 88

AWS Big Data

JULY 21, 2023

Data-driven organizations treat data as an asset and use it across different lines of business (LOBs) to drive timely insights and better business decisions. This leads to having data across many instances of data warehouses and data lakes using a modern data architecture in separate AWS accounts.

Data Lake 85

Data Lake Data Warehouse Marketing Management 85

AWS Big Data

MARCH 27, 2023

Amazon Redshift Serverless makes it simple to run and scale analytics without having to manage your data warehouse infrastructure. Tags allows you to assign metadata to your AWS resources. You can define your own key and value for your resource tag, so that you can easily manage and filter your resources. View and edit tags.

Data Warehouse 83

Data Warehouse Management Snapshot Data Lake 83

Cloudera

JANUARY 26, 2024

In this article, we will walk you through the process of implementing fine grained access control for the data governance framework within the Cloudera platform. In a good data governance strategy, it is important to define roles that allow the business to limit the level of access that users can have to their strategic data assets.

Metadata 73

Metadata Data Governance Management Finance 73

AWS Big Data

APRIL 6, 2023

In this post, Morningstar’s Data Lake Team Leads discuss how they utilized tag-based access control in their data lake with AWS Lake Formation and enabled similar controls in Amazon Redshift. In this solution, we were required to ensure that the consumers could only query the data to which they had explicit access.

Data Warehouse 83

Data Warehouse Data Lake Management Data-driven 83

AWS Big Data

SEPTEMBER 20, 2023

In this post, we discuss the following new management features recently added and how can they give you more control over the configurations and security of your AWS Glue interactive sessions: Tags magic – You can use this new cell magic to tag the session for administration or billing purposes. Sign in to the console with account B.

Interactive 94

Interactive Management Reporting IT 94

Cloudera

MARCH 4, 2024

In this article, we will walk you through the process of implementing fine grained access control for the data governance framework within the Cloudera platform. In a good data governance strategy, it is important to define roles that allow the business to limit the level of access that users can have to their strategic data assets.

Metadata 52

Metadata Data Governance Management Finance 52

AWS Big Data

JULY 3, 2023

Backtesting is a process used in quantitative finance to evaluate trading strategies using historical data. We specifically explore how Amazon EMR and the newly developed Apache Iceberg branching and tagging feature can address the challenge of look-ahead bias in backtesting.

Snapshot 82

Snapshot Data Lake Testing Strategy 82

AWS Big Data

MAY 24, 2023

When you build your transactional data lake using Apache Iceberg to solve your functional use cases, you need to focus on operational use cases for your S3 data lake to optimize the production environment. Amazon S3 uses object tagging to categorize storage where each tag is a key-value pair. With the s3.delete.tags

Data Lake 83

Data Lake Snapshot Metadata Optimization 83

AWS Big Data

JUNE 5, 2023

Amazon QuickSight is a fully managed, cloud-native business intelligence (BI) service that makes it easy to connect to your data, create interactive dashboards, and share these with tens of thousands of users, both within QuickSight and embedded in your software as a service (SaaS) applications. Add the OR condition to RLS tags.

Dashboards 64

Dashboards Business Intelligence Management Software 64

Jet Global

MARCH 4, 2024

Assess the importance of these topics for your stakeholders, such as investors, customers, employees, regulators, and civil society, using various sources of information, such as surveys, feedback, ratings, and benchmarks. What types of existing IT systems are commonly used to store data required for ESRS disclosures?

Reporting 52

Reporting Management Cost-Benefit Enterprise 52

CIO Business Intelligence

DECEMBER 21, 2023

Backhauling to on-premises network security infrastructure for inspection and protection But relying on legacy security architectures amplifies lateral movement, increases operational complexity, and provides inconsistent threat and data protection. Zscaler Fig 1: Zscaler Zero Trust Cloud Connectivity.

Cost-Benefit 89

Cost-Benefit Enterprise Management IT 89

AWS Big Data

JULY 20, 2023

Apache Hive is a SQL-based data warehouse system for processing highly distributed datasets on the Apache Hadoop platform. The Hive metastore is a repository of metadata about the SQL tables, such as database names, table names, schema, serialization and deserialization information, data location, and partition details of each table.

Data Lake 79

Data Lake Metadata Data Processing Big Data 79

Rocket-Powered Data Science

SEPTEMBER 20, 2021

The way that I explained it to my data science students years ago was like this. They realized that the search results would probably not provide an answer to my question, but the results would simply list websites that included my words on the page or in the metadata tags: “Texas”, “Cows”, “How”, etc. What is a semantic layer?

Data Science 285

Data Science Forecasting Business Intelligence Sales 285

Jet Global

JANUARY 11, 2024

Accuracy and consistency are two key challenges for your finance team tasked with wrangling disparate data sources into a compliant annual ESMA filing. The number of teams involved, the complexity of regulatory requirements and the vast amounts of financial data involved, make this a formidable project.

Finance 52

Finance Reporting Software Risk 52

Smart Data Collective

AUGUST 25, 2021

Analyzes previous data to make better predictions, like self-driving cars that observe directions and traffic lights. Typical issues with text searches include incorrect spelling or unique names that customers can’t remember. Image Tagging. Like visual search, image tagging also uses visual recognition technology.

Visualization 134

Visualization Sales Marketing Technology 134

AWS Big Data

JANUARY 31, 2023

Data governance is the collection of policies, processes, and systems that organizations use to ensure the quality and appropriate handling of their data throughout its lifecycle for the purpose of generating business value.

Data Lake 80

Data Lake Data Governance Data Architecture Machine Learning 80

AWS Big Data

JULY 28, 2023

The GDPR (General Data Protection Regulation) right to be forgotten, also known as the right to erasure, gives individuals the right to request the deletion of their personally identifiable information (PII) data held by organizations. Amazon Redshift is a fully managed, petabyte-scale data warehouse service in the cloud.

Snapshot 81

Snapshot Metadata Measurement Data Warehouse 81

AWS Big Data

DECEMBER 12, 2023

Amazon Redshift accelerates your time to insights with fast, easy, and secure cloud data warehousing at scale. Tens of thousands of customers rely on Amazon Redshift to analyze exabytes of data and run complex analytical queries. You can use your preferred SQL clients to analyze your data in an Amazon Redshift data warehouse.

Data Warehouse 94

Data Warehouse Management Finance Analytics 94

CIO Business Intelligence

APRIL 24, 2024

The multinational IT services giant aims to leverage the tools internally to streamline workflows, improve efficiency, and enhance customer experiences. The service provider plans to help deploy Microsoft 365 Copilot across its extensive client network, targeting a million users among its 2,000 global customers in 11 different industries.

Enterprise 106

Enterprise Digital Transformation Consulting Risk 106

CIO Business Intelligence

JANUARY 13, 2023

The tool, which is built on Google’s Vertex AI Vision and powered by two machine learning models — product recognizer and tag organizer — can be used to identify different product types based on visual imaging and text features, the company said, adding that retailers don’t have to spend time and effort into training their own AI models.

Machine Learning 117

Machine Learning Sales Optimization Modeling 117

Smart Data Collective

JULY 28, 2021

This is largely due to the benefits of using data analytics to improve automation in merchandise distribution. As a retailer or manufacturer selling via e-commerce platforms, you already know the importance of using big data to improve automation. This wouldn’t be possible without massive advances in big data technology.

Data-driven 134

Data-driven Big Data Manufacturing ROI 134

Domino Data Lab

JULY 1, 2021

The model achieves relatively high accuracy and all data and code is freely available in the article. The drawback with statistical model-based techniques is that the automated extraction of a comprehensive set of rules requires a large amount of labeled training data. What is Named Entity Recognition? mentioned in unstructured text.

Modeling 111

Modeling Statistics Testing Metrics 111

AWS Big Data

SEPTEMBER 29, 2023

In today’s digital age, data is at the heart of every organization’s success. One of the most commonly used formats for exchanging data is XML. Analyzing XML files can help organizations gain insights into their data, allowing them to make better decisions and improve their operations. xml and technique2.xml.

Metadata 65

Metadata Visualization Data-driven Optimization 65

AWS Big Data

FEBRUARY 16, 2024

Many customers are extending their data warehouse capabilities to their data lake with Amazon Redshift. They are looking to further enhance their security posture where they can enforce access policies on their data lakes based on Amazon Simple Storage Service (Amazon S3).

Data Lake 95

Data Lake Data Warehouse Testing Business Objectives 95

CDW Research Hub

JULY 22, 2022

The Sirius Data & Analytics Consulting team recently attended Snowflake Summit 2022 in Las Vegas; the first time the annual conference has been held in person since 2019. Whether it was due to being in a room full of data enthusiasts or the magic of Las Vegas, the energy matched the larger attendance and venue. Snowpark for Python.

Data Lake 84

Data Lake Data Governance Consulting Machine Learning 84

AWS Big Data

OCTOBER 5, 2023

Customers face a challenge when distributing cloud resources between different teams running workloads such as development, testing, or production. In this post, we show how to define per-team resource limits for big data workloads using EMR serverless. For more details, refer to Using tags for access control. and onwards.

Big Data 59

Big Data Cost-Benefit Testing Metrics 59

AWS Big Data

APRIL 18, 2024

is a cloud-based customer relationship management (CRM) software company building artificial intelligence (AI)-powered business applications that allow businesses to connect with their customers in new and personalized ways. The data lake consumers then use Apache Presto running on Amazon EMR cluster to perform one-time queries.

Optimization 85

Optimization Data Lake Management Key Performance Indicator 85

AWS Big Data

MAY 4, 2023

Amazon Redshift Serverless makes it easy to run and scale analytics in seconds without the need to set up and manage data warehouse clusters. With Redshift Serverless, users such as data analysts, developers, business professionals, and data scientists can get insights from data by simply loading and querying data in the data warehouse.

Finance 79

Finance Data Warehouse Sales Metadata 79

Cloudera

OCTOBER 30, 2023

The legacy IT infrastructure to run the business operations — mainly data centers — has a deadline to shift to cloud-based services. The public cloud is increasingly becoming the preferred platform to host data analytics – related projects, such as business intelligence, machine learning (ML), and AI applications.

Analytics 75

Analytics Cost-Benefit ROI Business Objectives 75

Smart Data Collective

NOVEMBER 21, 2021

E-commerce companies are already utilizing AI to understand their consumers better, develop new revenue, and improve customer service to their current clients. This kind of information on customers and site visitors is all around us, being gathered all the time. Customers want more ease in their e-commerce buying experience.

Strategy 143

Strategy Advertising Machine Learning Marketing 143

CIO Business Intelligence

JANUARY 15, 2024

Microsoft offers Copilot to personalize shopping Improving the consumer experience is Microsoft’s target as ahead of NRF, it released new generative AI capabilities for retail , including a new Copilot template to help online retailers personalize the shopping experience for their customers.

Sales 87

Sales Software Forecasting Statistics 87

Smart Data Collective

OCTOBER 25, 2022

We talked about the opportunities to use big data for library marketing , but there are other advantages as well. Through radio waves and barcodes, computers and similar can identify objects, thus sort them into categories and put their corresponding data in the library systems. Automated material handling.

Technology 122

Technology Data-driven Big Data Management 122

Ontotext

MARCH 13, 2024

We started with our marketing content and quickly expanded that to also integrate a set of workflows for data and content management. Then we build a knowledge graph consisting of custom ontologies (in our case, an extension of schema.org), and custom taxonomies.

Marketing 72

Marketing Knowledge Discovery Metadata Data-driven 72

AWS Big Data

OCTOBER 25, 2023

As the scale and complexity of microservices and distributed applications continues to expand, customers are seeking guidance for building cost-efficient infrastructure supporting operational analytics use cases. The time series data often contains logs or telemetry data from various sources with different values and needs.

Analytics 119

Analytics Data Processing Optimization Metrics 119