AWS Big Data

MARCH 27, 2024

Amazon Redshift is a fast, scalable, and fully managed cloud data warehouse that allows you to process and run your complex SQL analytics workloads on structured and semi-structured data. Complete the implementation tasks such as data ingestion and performance testing. Analyze the data and then optimize as necessary.

Testing 103

Testing Data Warehouse Metrics Cost-Benefit 103

Smart Data Collective

JUNE 15, 2021

How companies gather, manage and control data has undeniably become one of the most important aspects of business success today. This is precisely why many business owners turn to data platform solutions such as Looker in order to leverage their data faster using powerful databases. 4 – Upgrade your data warehouse.

Data Warehouse 95

Data Warehouse Dashboards Optimization Metrics 95

AWS Big Data

NOVEMBER 9, 2023

The aim was to bolster their analytical capabilities and improve data accessibility while ensuring a quick time to market and high data quality, all with low total cost of ownership (TCO) and no need for additional tools or licenses. Third-party APIs – These provide analytics and survey data related to ecommerce websites.

Data Warehouse 110

Data Warehouse Testing Data Quality Reporting 110

AWS Big Data

NOVEMBER 28, 2023

To run analytics on their operational data, customers often build solutions that are a combination of a database, a data warehouse, and an extract, transform, and load (ETL) pipeline. ETL is the process data engineers use to combine data from different sources.

Data Warehouse 96

Data Warehouse Data-driven Machine Learning B2B 96

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 88

Enterprise Data Warehouse Snapshot Cost-Benefit 88

AWS Big Data

FEBRUARY 29, 2024

First, many LLM use cases rely on enterprise knowledge that needs to be drawn from unstructured data such as documents, transcripts, and images, in addition to structured data from data warehouses. Enforce data privacy policies such as personally identifiable information (PII) redactions.

Data Governance 100

Data Governance Unstructured Data Metadata Data Lake 100

AWS Big Data

JULY 27, 2023

Amazon Redshift is a fully managed, scalable cloud data warehouse that accelerates your time to insights with fast, easy, and secure analytics at scale. Tens of thousands of customers rely on Amazon Redshift to analyze exabytes of data and run complex analytical queries, making it the widely used cloud data warehouse.

Data Warehouse 86

Data Warehouse Analytics Metadata Dashboards 86

AWS Big Data

MARCH 7, 2023

Data lakes are more focused around storing and maintaining all the data in an organization in one place. And unlike data warehouses, which are primarily analytical stores, a data hub is a combination of all types of repositories—analytical, transactional, operational, reference, and data I/O services, along with governance processes.

Analytics 74

Analytics Data Warehouse Data Lake Metadata 74

Sisense

JULY 8, 2020

Dealing with Data is your window into the ways Data Teams are tackling the challenges of this new world to help their companies and their customers thrive. In recent years we’ve seen data become vastly more available to businesses. This has allowed companies to become more and more data driven in all areas of their business.

Data Warehouse 90

Data Warehouse Data Lake Data-driven Cost-Benefit 90

AWS Big Data

MARCH 25, 2024

Large language models (LLMs) are a type of FM and are pre-trained on vast amounts of text data and typically have application uses such as text generation, intelligent chatbots, or summarization. Another example is an AI-driven observability and monitoring solution where FMs monitor real-time internal metrics of a system and produces alerts.

Data Lake 95

Data Lake Unstructured Data Management Modeling 95

Data Science 101

FEBRUARY 22, 2020

Welcome to Cloud Data Science 8. This weeks news includes information about AWS working with Azure, time-series, detecting text in videos and more. Amazon Redshift now supports Authentication with Microsoft Azure AD Redshift, a data warehouse, from Amazon now integrates with Azure Active Directory for login.

Data Science 103

Data Science Forecasting Data Warehouse Metrics 103

AWS Big Data

OCTOBER 26, 2023

Amazon Redshift is a fast, petabyte-scale, cloud data warehouse that tens of thousands of customers rely on to power their analytics workloads. As a data scientist building an ML model, you may have access to the identifying information but not the transaction information, and having access to a feature store solves this.

Modeling 64

Modeling Data Warehouse Machine Learning Testing 64

AWS Big Data

MAY 16, 2024

For a comprehensive overview of OpenSearch Ingestion, visit Amazon OpenSearch Ingestion , and for more information about the Data Prepper open source project, visit Data Prepper. For more information, refer to Securing Amazon OpenSearch Ingestion pipelines within a VPC. Choose your VPC, subnets, and security groups.

Data Processing 109

Data Processing Data Warehouse Management Metrics 109

AWS Big Data

AUGUST 7, 2023

Amazon Redshift is a fully managed, petabyte-scale data warehouse service in the cloud. Tens of thousands of customers use Amazon Redshift to process exabytes of data every day to power their analytics workloads. Time series data is any dataset that collects information at various time intervals.

Forecasting 87

Forecasting Data Warehouse Machine Learning Modeling 87

AWS Big Data

MAY 25, 2023

Many organizations today are using AWS Glue to build ETL pipelines that bring data from disparate sources and store the data in repositories like a data lake, database, or data warehouse for further consumption. For more information on job tagging, refer to AWS tags in AWS Glue.

Reporting 72

Reporting Metrics Optimization Data Lake 72

CIO Business Intelligence

NOVEMBER 22, 2022

Every enterprise needs a data strategy that clearly defines the technologies, processes, people, and rules needed to safely and securely manage its information assets and practices. A key data observability attribute is that it acts on metadata, providing a safe way to monitor data directly within applications.

Data Strategy 145

Data Strategy Strategy Enterprise Consulting 145

Occam's Razor

APRIL 20, 2009

All web analytics tools have a smattering of metrics and key performance indicators that were created just because someone decided it would be cute to add / subtract / multiply / divide some numbers. You can learn a lot more about Visits and Unique Visitors in this post: Standard Metrics Revisited: #1: Visitors. Guess what?

Metrics 106

Metrics Key Performance Indicator Reporting Measurement 106

AWS Big Data

MARCH 7, 2024

At the same time, they need to optimize operational costs to unlock the value of this data for timely insights and do so with a consistent performance. With this massive data growth, data proliferation across your data stores, data warehouse, and data lakes can become equally challenging.

Data Lake 118

Data Lake Analytics Dashboards Metrics 118

Jet Global

OCTOBER 7, 2020

You would need to pull those data from the line item detail of your customer invoices. To include detailed information about each inventory item on the report, you might also need to link the item number from the invoice detail to the item master table in which additional information on each SKU is stored.

Data Warehouse 90

Data Warehouse OLAP Reporting Finance 90

FineReport

MAY 31, 2023

In today’s dynamic business environment, gaining comprehensive visibility into financial data is crucial for making informed decisions. Working capital serves as a metric that evaluates a company’s liquidity, operational efficiency, and short-term financial well-being.

Dashboards 52

Dashboards Key Performance Indicator Metrics Visualization 52

FineReport

FEBRUARY 12, 2020

What- What information this report need to cover? One of the report tasks is to “paint a picture” of a business topic with multiple associated metrics with a hierarchy. One of the report tasks is to “paint a picture” of a business topic with multiple associated metrics with a hierarchy. From Google.

Reporting 98

Reporting Metrics ROI KPI 98

AWS Big Data

FEBRUARY 13, 2024

AWS Glue has made this more straightforward with the launch of AWS Glue job observability metrics , which provide valuable insights into your data integration pipelines built on AWS Glue. This post, walks through how to integrate AWS Glue job observability metrics with Grafana using Amazon Managed Grafana. Choose Administration.

Metrics 103

Metrics Dashboards Visualization Key Performance Indicator 103

BizAcuity

MAY 16, 2022

Fast food companies like Domino’s, McDonald’s and KFC collect massive amounts of data which includes customer data and other key business metrics for their own operations. Also, it is using customer data that they experiment and roll out new products every month. Data mining.

Business Intelligence 52

Business Intelligence Data mining Visualization Data Lake 52

IBM Big Data Hub

SEPTEMBER 19, 2023

To pursue a data science career, you need a deep understanding and expansive knowledge of machine learning and AI. The dedicated data analyst Virtually any stakeholder of any discipline can analyze data. They may also use tools such as Excel to sort, calculate and visualize data.

Data Science 80

Data Science Data Analytics Prescriptive Analytics Analytics 80

IBM Big Data Hub

JUNE 8, 2022

Implementing the right data strategy spurs innovation and outstanding business outcomes by recognizing data as a critical asset that provides insights for better and more informed decision-making. Integrating data across this hybrid ecosystem can be time consuming and expensive. The volume of data assets.

Data-driven 57

Data-driven Enterprise Data Governance Data Lake 57

FineReport

DECEMBER 25, 2019

For instance, below is the personal information card. Cross report sorts and summarizes data in both row and column directions. What- What information this report need to cover? One of the report tasks is to “paint a picture” of a business topic with multiple associated metrics with a hierarchy. Cross Report.

Reporting 98

Reporting Metrics ROI KPI 98

erwin

MARCH 8, 2019

Data Governance “Stock Check” Case 1: The Data Broker. This client trades in information. Therefore, the organization needed to catalog the data it acquires from suppliers, ensure its quality, classify it, and then sell it to customers. The first step in helping this client involved taking stock of its existing data.

Data Governance 65

Data Governance Metadata Data Warehouse Data Quality 65

Sisense

DECEMBER 23, 2019

AI and ML are the only ways to derive value from massive data lakes, cloud-native data warehouses, and other huge stores of information. There just aren’t enough AI and data science practitioners to go around to tackle this lofty goal. Apply that metric to any other business-critical function.

Data Lake 86

Data Lake Machine Learning Data Warehouse Digital Transformation 86

IBM Big Data Hub

AUGUST 28, 2023

Data analytics in the publishing industry With such a widespread global operation, Macmillan Publishers has a long history of investing in technology that can source deep analytical information about sales, inventory and transportation of their titles in the market. This contributed to the need for more analytics by our users.

Publishing 52

Publishing Analytics Business Intelligence Operational Reporting 52

CIO Business Intelligence

JUNE 7, 2022

A data scientist is a mix of a product analyst and a business analyst with a pinch of machine learning knowledge, says Mark Eltsefon, data scientist at TikTok. AI strategists can also help organizations obtain the data they need to fuel AI effectively.

Machine Learning 145

Machine Learning Data Science Consulting Metrics 145

datapine

MAY 21, 2019

Data analytics isn’t just for the Big Guys anymore; it’s accessible to ventures, organizations, and businesses of all shapes, sizes, and sectors. The power of data analytics and business intelligence is universal. They need to make quick and informed decisions. And the success stories are seemingly endless.

Business Intelligence 183

Business Intelligence Cost-Benefit Dashboards ROI 183

Jet Global

JULY 2, 2019

The sheer scale of data being captured by the modern enterprise has necessitated a monumental shift in how that data is stored. From the humble database through to data warehouses , data stores have grown both in scale and complexity to keep pace with the businesses they serve, and the data analysis now required to remain competitive.

Data Lake 73

Data Lake Data Warehouse Big Data Machine Learning 73

CIO Business Intelligence

JULY 18, 2022

Data is in constant flux, due to exponential growth, varied formats and structure, and the velocity at which it is being generated. Data is also highly distributed across centralized on-premises data warehouses, cloud-based data lakes, and long-standing mission-critical business systems such as for enterprise resource planning (ERP).

Cost-Benefit 86

Cost-Benefit Data Lake Data Warehouse Enterprise 86

AWS Big Data

APRIL 19, 2023

In this post, we look at three key challenges that customers face with growing data and how a modern data warehouse and analytics system like Amazon Redshift can meet these challenges across industries and segments. The Stripe Data Pipeline is powered by the data sharing capability of Amazon Redshift.

Data Warehouse 56

Data Warehouse Data Lake Unstructured Data Optimization 56

datapine

MARCH 31, 2022

Does the idea of discovering patterns in large volumes of information make you want to roll up your sleeves and get to work? Moreover, companies that use BI analytics are five times more likely to make swifter, more informed decisions. This could involve anything from learning SQL to buying some textbooks on data warehouses.

Business Intelligence 239

Business Intelligence Statistics Visualization Data-driven 239

CIO Business Intelligence

SEPTEMBER 8, 2022

We’ve all experienced the pain of what continues to happen with the disconnect between customer usage metrics and gaps in supply chain data.” — Frank Cutitta ( @fcutitta ), CEO and Founder, HealthTech Decisions Lab “Operationally, think of logistics. This is often made simpler if the number of platforms is kept to a minimum.

Cost-Benefit 120

Cost-Benefit Internet of Things Data-driven Data Lake 120

Cloudera

MAY 17, 2021

In this blog, we’ll cover the complete range of new capabilities and updates for CDP Private Cloud as a whole (the platform) as well as for both the CDW (Cloudera Data Warehouse) and CML (Cloudera Machine Learning) services. Additional database metrics were added and alerts were improved. Grafana Monitoring: . Beyond PVC 1.2.

Machine Learning 88

Machine Learning Data Warehouse Data-driven Metrics 88