Octopai

MARCH 31, 2021

In other words, kind of like Hansel and Gretel in the forest, your data leaves a trail of breadcrumbs – the metadata – to record where it came from and who it really is. So the first step in any data lineage mapping project is to ensure that all of your data transformation processes do in fact accurately record metadata.

Metadata 133

Metadata Data Transformation Business Intelligence Reporting 133

Ontotext

DECEMBER 9, 2020

If you have ever built your own custom GraphQL API layer, the code typically resolves each part of a GraphQL query as it traverses downwards as a separate isolated data fetching step. This leads to lots of small data fetches to/from GraphDB over the network. Custom code also tends to over-fetch data that is not required.

Modeling 130

Modeling Management Optimization Machine Learning 130

AWS Big Data

OCTOBER 14, 2024

Open each downloaded Notebook and update the values of the athena_results_bucket, aws_region , and athena_workgroup variables based on the outputs from the texttosqlmetadata CloudFormation Solution implementation If you want to try this example yourself, try the CloudFormation template provided in the previous section.

Metadata 88

Metadata Data Lake Modeling Data Warehouse 88

Cloudera

OCTOBER 7, 2022

We’re excited to announce the general availability of the open source adapters for dbt for all the engines in CDP — Apache Hive , Apache Impala , and Apache Spark, with added support for Apache Livy and Cloudera Data Engineering. This variety can result in a lack of standardization, leading to data duplication and inconsistency.

Data Warehouse 81

Data Warehouse Data Transformation Machine Learning Data Lake 81

Ontotext

NOVEMBER 29, 2024

From the data flow point of view, the data transformation looks like the following: The Ontotext research team chose YAML as the initial language for data serialization because it is way easier to read for humans. Download GraphDB and start building knowledge graphs for your data management practices!

Modeling 59

Modeling Structured Data Technology Data Transformation 59

AWS Big Data

AUGUST 8, 2024

Oracle GoldenGate for Oracle Database and Big Data adapters Oracle GoldenGate is a real-time data integration and replication tool used for disaster recovery, data migrations, high availability. GoldenGate for Big Data 21c Use the following steps to upload and install the file from your local machine to the EC2 instance.

Analytics 98

Analytics Big Data Software Data Integration 98

CIO Business Intelligence

AUGUST 3, 2023

Using SnapLogic ’s integration platform freed his developers from manually building APIs (application programming interfaces) for each data source, and helped with cleaning the data and storing it quickly and efficiently in the warehouse, he says.

Analytics 98

Analytics Data Lake Metadata Cost-Benefit 98

AWS Big Data

JANUARY 17, 2024

Additionally, they can’t access rows of data that don’t fulfill certain conditions. For example, the users only can access data rows that belong to their country. Prerequisites You can download the three notebooks used in this post from the GitHub repo. Download the notebook rsv2-hudi-db-creator-notebook.

Data Lake 107

Data Lake Snapshot Big Data Data-driven 107

AWS Big Data

MAY 3, 2023

Components of the consumer application The consumer application comprises three main parts that work together to consume, transform, and load messages from Amazon MSK into a target database. The following diagram shows an example of data transformations in the handler component. RUN go mod download COPY. alpine3.16

IoT 111

IoT Internet of Things Data Transformation Management 111

erwin

JUNE 29, 2021

A key trend proving successful in data empowerment is investing in self-service technology. Self-service done right can enable a new level of productivity and operational efficiency to fuel the next generation of data transformation. What is data empowerment?

Data Governance 64

Data Governance Data-driven Reporting Technology 64

AWS Big Data

APRIL 25, 2023

An automated process downloaded the leads from Marketo in the marketing AWS account. With AppFlow, you can run data flows at nearly any scale at the frequency you choose—on a schedule, in response to a business event, or on demand. script to perform ETL and populates the curated table in the Data Catalog.

Sales 79

Sales Visualization Software Metadata 79

AWS Big Data

JULY 27, 2023

DataBrew is a visual data preparation tool that enables you to clean and normalize data without writing any code. The over 200 transformations it provides are now available to be used in an AWS Glue Studio visual job. Download the claims CSV file using the following link: alabama_claims_data_Jun2023.csv.

Visualization 89

Visualization Cost-Benefit Data Quality Publishing 89

AWS Big Data

SEPTEMBER 13, 2024

To share data to our internal consumers, we use AWS Lake Formation with LF-Tags to streamline the process of managing access rights across the organization. Data integration workflow A typical data integration process consists of ingestion, analysis, and production phases. The interface is tailor-made for our work habits.

Interactive 86

Interactive Strategy Cost-Benefit Data Governance 86

AWS Big Data

JUNE 19, 2024

Superuser privilege or the sys:secadmin role on the Amazon Redshift data warehouse Prepare the data To set up our use case, complete the following steps: On the Amazon Redshift console, choose Query editor v2 under Explorer in the navigation pane. All columns should masked for them.

Data Warehouse 102

Data Warehouse Testing Sales Structured Data 102

AWS Big Data

AUGUST 13, 2024

Access to an SFTP server with permissions to upload and download data. We will create a glue studio job, add events and venue data from the SFTP server, carry out data transformations and load transformed data to s3. Select Visual ETL in the central pane.

Data Processing 98

Data Processing Visualization Data Lake Data Processing 98

AWS Big Data

MARCH 13, 2024

You can also use the data transformation feature of Data Firehose to invoke a Lambda function to perform data transformation in batches. This method uses GZIP compression to optimize storage consumption and query performance. Choose Preview View on the ulezvehicleanalysis_firehose view to explore its content.

Analytics 109

Analytics IoT Metadata Internet of Things 109

Jet Global

MAY 28, 2019

A data warehouse is typically used by companies with a high level of data diversity or analytical requirements. Download Now. Cubes are a great way for non-technical users to access data and report on because of the way they are structured: the heavy lifting is already done through pre-calculation.

Data Warehouse 85

Data Warehouse Reporting Business Intelligence Sales 85

Data Insight

JANUARY 21, 2020

Last year almost 200 data leaders attended DI Day, demonstrating an abundant thirst for knowledge and support to drive data transformation projects throughout their diverse organisations. This year we expect to see organisations continue to leverage the power of data to deliver business value and growth.

Internet of Things 52

Internet of Things Data Science Cost-Benefit Data Governance 52

Sisense

DECEMBER 12, 2019

A bright, shiny BI tool that’s perfect for creating beautiful visual reports might be a dud when it comes to tackling complex data. Or maybe the reports it generates need additional data transformation/ETL tools, necessitating IT assistance every time you want to run a new analysis. Download Now.

Business Intelligence 88

Business Intelligence Software Data-driven Visualization 88

Alation

OCTOBER 27, 2022

Few actors in the modern data stack have inspired the enthusiasm and fervent support as dbt. This data transformation tool enables data analysts and engineers to transform, test and document data in the cloud data warehouse. Curious to learn how the data catalog can power your data strategy?

Metrics 52

Metrics Dashboards Sales Reporting 52

AWS Big Data

JANUARY 27, 2023

Kinesis Data Firehose uses Lambda to perform data transformation and compression, storing the file in a compressed columnar format (Parquet) in the target S3 bucket. The AWS Glue Data Catalog has the table definitions for the data sources. Download the demo PCA files. Note that this step is optional.

Analytics 65

Analytics Reporting Dashboards Visualization 65

AWS Big Data

AUGUST 1, 2024

However, you might face significant challenges when planning for a large-scale data warehouse migration. Data engineers are crucial for schema conversion and data transformation, and DBAs can handle cluster configuration and workload monitoring. Platform architects define a well-architected platform.

Data Warehouse 99

Data Warehouse KPI Optimization Cost-Benefit 99

Ontotext

APRIL 4, 2019

” Then this knowledge can be downloaded from the network. Milena Yankova : The professions of the future are related to understanding and processing data, transforming it into information and extracting knowledge from it. Another thing we do is website recommendations.

Recreation/Entertainment 76

Recreation/Entertainment Testing Enterprise Knowledge Discovery 76

Ontotext

MARCH 27, 2024

It accelerates data projects with data quality and lineage and contextualizes through ontologies , taxonomies, and vocabularies, making integrations easier. RDF is used extensively for data publishing and data interchange and is based on W3C and other industry standards.

Modeling 53

Modeling Metadata Data Quality Enterprise 53

FineReport

MARCH 7, 2024

Data Analysis Report (by FineReport ) Note: All the data analysis reports in this article are created using the FineReport reporting tool. Leveraging the advanced enterprise-level web reporting tool capabilities of FineReport , we empower businesses to achieve genuine data transformation. Try FineReport Now 1.

Dashboards 52

Dashboards Reporting Advertising Statistics 52

AWS Big Data

MAY 9, 2023

AWS Glue Studio is a graphical interface that makes it easy to create, run, and monitor extract, transform, and load (ETL) jobs in AWS Glue. It allows you to visually compose data transformation workflows using nodes that represent different data handling steps, which later are converted automatically into code to run.

Visualization 86

Visualization Marketing Big Data IT 86

AWS Big Data

JANUARY 27, 2023

The Amazon EMR Flink CDC connector reads the binlog data and processes the data. Transformed data can be stored in Amazon S3. We use the AWS Glue Data Catalog to store the metadata such as table schema and table location. the Flink table API/SQL can integrate with the AWS Glue Data Catalog.

Data Lake 66

Data Lake Metadata Business Analysis Data-driven 66

AWS Big Data

FEBRUARY 6, 2023

His area of interests are data lakes and cloud modern data architecture delivery. Kalen Zhang was the Global Segment Tech Lead of Partner Data and Analytics at AWS. She specializes in distributed systems, enterprise data management, advanced analytics, and large-scale strategic initiatives.

Cost-Benefit 52

Cost-Benefit Data Lake Dashboards Big Data 52

AWS Big Data

JUNE 29, 2023

Kinesis Data Analytics for Apache Flink In our example, we perform the following actions on the streaming data: Connect to an Amazon Kinesis Data Streams data stream. View the stream data. Transform and enrich the data. Manipulate the data with Python.

Data Analytics 84

Data Analytics Analytics IoT Data Lake 84

Occam's Razor

OCTOBER 19, 2010

Here's a free guide – 26 pages – to use the website optimizer optimally: PDF Download: The Techie Guide to Google Website Optimizer. AdWords Keyword Tool is impressive not just because of the petabytes of data it mashes together with ease but also because it is a source that 1. Five Reasons And Awesome Testing Ideas.

Analytics 136

Analytics Testing Measurement Optimization 136

Sisense

APRIL 10, 2020

In this article, we discuss how this data is accessed, an example environment and set-up to be used for data processing, sample lines of Python code to show the simplicity of data transformations using Pandas and how this simple architecture can enable you to unlock new insights from this data yourself.

Visualization 105

Visualization Reporting Data Processing Dashboards 105

Jet Global

MAY 9, 2024

Data Extraction : The process of gathering data from disparate sources, each of which may have its own schema defining the structure and format of the data and making it available for processing. 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

FEBRUARY 23, 2024

This field guide to data mapping will explore how data mapping connects volumes of data for enhanced decision-making. 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 Warehouse 52

Data Warehouse Reporting Data Transformation Visualization 52

Jet Global

MAY 1, 2023

Application Imperative: How Next-Gen Embedded Analytics Power Data-Driven Action Download Now While traditional BI has its place, the fact that BI and business process applications have entirely separate interfaces is a big issue. Strategic Objective Create a complete, user-friendly view of the data by preparing it for analysis.

Analytics 52

Analytics Cost-Benefit Visualization Dashboards 52

Jet Global

MAY 6, 2024

These tools excel at data integration, consolidating information from various financial systems (ERP, CRM, legacy) into a central hub. This eliminates data fragmentation, a major obstacle for AI. Additionally, they provide robust data transformation capabilities.

Finance 52

Finance Reporting Data Transformation Data-driven 52

Jet Global

JULY 16, 2024

By providing a consistent and stable backend, Apache Iceberg ensures that data remains immutable and query performance is optimized, thus enabling businesses to trust and rely on their BI tools for critical insights. It provides a stable schema, supports complex data transformations, and ensures atomic operations.

Dashboards 52

Dashboards Data-driven Reporting Business Intelligence 52

Jet Global

AUGUST 9, 2023

Eliminate Manual FICO Processes to Speed Up Month-End Close Download Now Automating Your Month-End Close is an Easy Decision Working with SAP’s complex interface and migration mires down financial professionals in tedious manual tasks, which can prolong time-critical activities like month-end close.

Finance 52

Finance Reporting Management Enterprise 52