CIO Business Intelligence

OCTOBER 25, 2023

The release of intellectual property and non-public information Generative AI tools can make it easy for well-meaning users to leak sensitive and confidential data. Once shared, this data can be fed into the data lakes used to train large language models (LLMs) and can be discovered by other users.

Enterprise 130

Enterprise Risk Manufacturing Finance 130

AWS Big Data

MARCH 12, 2024

In recent years, data lakes have become a mainstream architecture, and data quality validation is a critical factor to improve the reusability and consistency of the data. You can download the dataset or recreate it locally using the Python script provided in the repository. For Data format , choose Parquet.

Data Quality 89

Data Quality Measurement Testing Visualization 89

AWS Big Data

OCTOBER 19, 2023

Data lakes and data warehouses are two of the most important data storage and management technologies in a modern data architecture. Data lakes store all of an organization’s data, regardless of its format or structure.

Data Lake 112

Data Lake Data Warehouse Visualization Snapshot 112

AWS Big Data

OCTOBER 9, 2023

Data lakes have been gaining popularity for storing vast amounts of data from diverse sources in a scalable and cost-effective way. As the number of data consumers grows, data lake administrators often need to implement fine-grained access controls for different user profiles.

Data Lake 120

Data Lake Testing Big Data Management 120

Cloudera

DECEMBER 21, 2020

Company data exists in the data lake. Data Catalog profilers have been run on existing databases in the Data Lake. A Cloudera Data Warehouse virtual warehouse with Cloudera Data Visualisation enabled exists. Our data adventure starts with Shaun, a Data Scientist at a global bank.

Dashboards 98

Dashboards Visualization Data Warehouse Data Lake 98

AWS Big Data

JUNE 26, 2023

Companies are faced with the daunting task of ingesting all this data, cleansing it, and using it to provide outstanding customer experience. Typically, companies ingest data from multiple sources into their data lake to derive valuable insights from the data. Jupyter notebooks are web-based interactive platforms.

Insurance 80

Insurance Visualization Data Lake Metrics 80

AWS Big Data

MAY 23, 2024

We also show how to take action based on the data quality results. Solution overview Let’s consider an example data quality pipeline where a data engineer ingests data from a raw zone and loads it into a curated zone in a data lake. Upload sample data Download the dataset to your local machine.

Data Quality 87

Data Quality Metrics Data Lake Sales 87

AWS Big Data

MARCH 7, 2023

A data hub contains data at multiple levels of granularity and is often not integrated. It differs from a data lake by offering data that is pre-validated and standardized, allowing for simpler consumption by users. Data hubs and data lakes can coexist in an organization, complementing each other.

Analytics 72

Analytics Data Warehouse Data Lake Metadata 72

AWS Big Data

APRIL 20, 2023

For sales across multiple markets, the product sales data such as orders, transactions, and shipment data is available on Amazon S3 in the data lake. The data engineering team can use Apache Spark with Amazon EMR or AWS Glue to analyze this data in Amazon S3.

Data Lake 77

Data Lake Data Warehouse Sales Data-driven 77

Cloudera

JANUARY 15, 2021

Optimized read and write paths to cloud object stores (S3, Azure Data Lake Storage, etc) with local caching, allowing workloads to run directly against data in shared object stores without explicit loading to local storage. Below we explore a few alternative visualizations using this same per query data.

Data Warehouse 99

Data Warehouse Cost-Benefit Consulting Interactive 99

AWS Big Data

MAY 29, 2024

User3 is a Business Analyst who needs to query data stored in Amazon Redshift tables using the Amazon Redshift Query Editor v2. Additionally, this user builds Amazon QuickSight visualizations for the data in Redshift tables. You can download the following sample certificate to use in this post.

Data Lake 80

Data Lake Enterprise Management Business Intelligence 80

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. With Grafana, you can create, explore, and share visually rich, data-driven dashboards. Download the Grafana template.

Metrics 98

Metrics Dashboards Visualization Key Performance Indicator 98

AWS Big Data

MARCH 1, 2023

Finding similar columns in a data lake has important applications in data cleaning and annotation, schema matching, data discovery, and analytics across multiple data sources. Finally, to interact with and visualize results from our solution, we build an interactive Streamlit web application running on AWS Fargate.

Data Lake 85

Data Lake Deep Learning Modeling Interactive 85

AWS Big Data

NOVEMBER 30, 2023

With AWS Glue, you can discover and connect to more than 100 diverse data sources and manage your data in a centralized data catalog. You can visually create, run, and monitor extract, transform, and load (ETL) pipelines to load data into your data lakes. Download the TICKIT dataset and unzip it.

IT 96

IT Visualization Machine Learning Data Integration 96

FineReport

APRIL 11, 2023

Every user can now create interactive reports and utilize data visualization to disseminate knowledge to both internal and external stakeholders. BI dashboards typically display a variety of data visualizations to give users a comprehensive view of relevant KPIs and trends for both strategic planning and operational decision-making.

Dashboards 40

Dashboards Business Intelligence Cost-Benefit Metrics 40

AWS Big Data

OCTOBER 23, 2023

Modern applications store massive amounts of data on Amazon Simple Storage Service (Amazon S3) data lakes, providing cost-effective and highly durable storage, and allowing you to run analytics and machine learning (ML) from your data lake to generate insights on your data. table1 t1 join ` /database2`.table2

Data Lake 102

Data Lake Visualization Optimization Interactive 102

AWS Big Data

AUGUST 28, 2023

OpenSearch Ingestion reads Parquet formatted security data from the Security Lake managed Amazon S3 bucket and transforms the security logs into JSON documents. OpenSearch Ingestion ingests this OCSF compliant data into OpenSearch Service. Optionally, specify the Amazon S3 storage class for the data in Amazon Security Lake.

Dashboards 52

Dashboards Visualization Metadata Management 52

AWS Big Data

JUNE 29, 2023

Notebooks are provisioned quickly and provide a way for you to instantly view and analyze your streaming data. This pipeline could further be used to send data to Amazon OpenSearch Service or other targets for additional processing and visualization.

Data Analytics 74

Data Analytics Analytics IoT Data Lake 74

AWS Big Data

JUNE 19, 2023

Security Lake automatically centralizes security data from cloud, on-premises, and custom sources into a purpose-built data lake stored in your account. With Security Lake, you can get a more complete understanding of your security data across your entire organization. Choose Import.

Publishing 85

Publishing Dashboards Visualization Management 85

Cloudera

JANUARY 21, 2021

Storing data in a proprietary, single-workload solution also recreates dangerous data silos all over again, as it locks out other types of workloads over the same shared data. The Data Lake service in Cloudera’s Data Platform provides a central place to understand, manage, secure, and govern data assets across the enterprise.

Data Lake 95

Data Lake Data Warehouse IT Analytics 95

Cloudera

MAY 19, 2021

For the code to work, the data in it’s CSV format should be placed into the data subfolder. The dataset can be downloaded from: [link]. Data Ingestion. The raw data is in a series of CSV files. We will firstly convert this to parquet format as most data lakes exist as object stores full of parquet files.

Machine Learning 139

Machine Learning Data Science Data Lake Modeling 139

AWS Big Data

JUNE 6, 2023

You can use AWS Glue to create, run, and monitor data integration and ETL (extract, transform, and load) pipelines and catalog your assets across multiple data stores. Hundreds of thousands of customers use data lakes for analytics and ML to make data-driven business decisions.

Data Quality 75

Data Quality Data Lake Data-driven Metrics 75

AWS Big Data

JULY 25, 2023

This gives a visual representation of peaks and lows in your consumption over your chosen period of time. SQL Notebook You can download the SQL notebook with most used system views queries. Technical Product Manager with Amazon Redshift, building cloud-based data warehouses and analytics cloud services.

Metrics 80

Metrics Data Warehouse Dashboards Snapshot 80

AWS Big Data

JUNE 21, 2023

When setting out to build a data warehouse, it’s a common pattern to have a data lake as the source of the data warehouse. The data lake in this context serves a number of important functions: It acts as a central source for multiple applications, not just exclusively for data warehousing purposes.

Data Warehouse 80

Data Warehouse Data Lake OLAP Cost-Benefit 80

AWS Big Data

AUGUST 1, 2023

Although Jira Cloud provides reporting capability, loading this data into a data lake will facilitate enrichment with other business data, as well as support the use of business intelligence (BI) tools and artificial intelligence (AI) and machine learning (ML) applications. Search for the Jira Cloud connector.

Data Lake 86

Data Lake Data Transformation Cost-Benefit Data-driven 86

AWS Big Data

JUNE 15, 2023

Amazon EMR Notebooks , a managed environment based on Jupyter and JupyterLab notebooks, enables you to interactively analyze and visualize data, collaborate with peers, and build applications using EMR clusters running Apache Spark. Select Medallion_Drivers_-_Active.csv and choose Download. Choose Generate SAS token and URL.

Data Lake 86

Data Lake Big Data Management Testing 86

Jet Global

MAY 9, 2024

The key components of a data pipeline are typically: Data Sources : The origin of the data, such as a relational database , data warehouse, data lake , file, API, or other data store. This can include tasks such as data ingestion, cleansing, filtering, aggregation, or standardization.

Data Lake 52

Data Lake Data Warehouse Business Intelligence Machine Learning 52

Jet Global

APRIL 26, 2022

Jet Reports now offers high performance connectivity with options to connect to Synapse/Azure Data Lakes, BYOD, SQL or your Cubes and Tabular models. Create accurate charts, graphs, and other visuals that combine the most current data from multiple applications in just a few clicks. With the release of Jet Reports 22.1,

Reporting 52

Reporting Finance Cost-Benefit Forecasting 52

Jet Global

FEBRUARY 23, 2024

Why Data Mapping is Important Data mapping is a critical element of any data management initiative, such as data integration, data migration, data transformation, data warehousing, or automation. Data mapping helps standardize, visualize, and understand data across different systems and applications.

Data Warehouse 52

Data Warehouse Reporting Data Transformation Sales 52