CIO Business Intelligence

OCTOBER 13, 2023

Cloud data architect: The cloud data architect designs and implements data architecture for cloud-based platforms such as AWS, Azure, and Google Cloud Platform. Data security architect: The data security architect works closely with security teams and IT teams to design data security architectures.

Data Architecture 128

Data Architecture Data Warehouse Statistics Visualization 128

IBM Big Data Hub

NOVEMBER 4, 2022

So, it is imperative to have a clear data quality strategy that relies on proactive data quality management as data moves from producers to consumers. Unlock quality data with IBM. We are excited to share that Gartner recently named IBM a Leader in the 2022 Gartner® Magic Quadrant for Data Quality Solutions.

Data Quality 57

Data Quality Metadata Data Governance Data-driven 57

erwin

APRIL 27, 2022

Please help us keep our #1 position in 2022. Best Data Modeling Solution (erwin Data Modeler). Read more about erwin® Data Modeler by Quest. Best Data Security Solution (Quest ApexSQL). 2022 DBTA Reader’s Choice Awards appeared first on erwin Expert Blog. We need your help!

Data Governance 52

Data Governance Digital Transformation Metadata Data Warehouse 52

AWS Big Data

APRIL 19, 2023

Many customers run big data workloads such as extract, transform, and load (ETL) on Apache Hive to create a data warehouse on Hadoop. We split the solution into two primary components: generating Spark job metadata and running the SQL on Amazon EMR. The script generates a metadata JSON file for each step.

Metadata 77

Metadata Testing Data Lake Consulting 77

IBM Big Data Hub

JUNE 23, 2022

The opportunity to work with many clients on their data fabric journey continues to drive and inspire us to achieve even greater heights with our solutions. A plethora of data integration styles such as ETL and ELT, data replication, change data capture and data virtualization help access all data seamlessly.

Enterprise 52

Enterprise Metadata Data Governance Machine Learning 52

AWS Big Data

JULY 27, 2023

To capture the latest data from the DynamoDB table, the Amazon Redshift streaming materialized view needs to be refreshed at regular intervals, and then the incremental data should be transformed and loaded into the final fact and dimension table.

Data Warehouse 81

Data Warehouse Analytics Metadata Dashboards 81

IBM Big Data Hub

OCTOBER 4, 2022

Furthermore, 59% of executives claim AI can improve the use of big data in their organizations, facts about artificial intelligence show. ( IBM Global AI Adoption Index 2022.). This includes capturing of the metadata, tracking provenance and documenting the model lifecycle. What is stopping AI adoption today?

Metadata 102

Metadata Risk Risk Management Experimentation 102

AWS Big Data

MARCH 2, 2023

Apache Iceberg is an open table format for very large analytic datasets, which captures metadata information on the state of datasets as they evolve and change over time. Iceberg has become very popular for its support for ACID transactions in data lakes and features like schema and partition evolution, time travel, and rollback.

Data Lake 116

Data Lake Data Processing Metadata Snapshot 116

Cloudera

JUNE 7, 2022

Big data is cool again. As the company who taught the world the value of big data, we always knew it would be. But this is not your grandfather’s big data. It has evolved into something new – hybrid data. For Cloudera this is a back to the future moment.

IT 108

IT Data Architecture Unstructured Data Big Data 108

CIO Business Intelligence

JUNE 23, 2022

Big data is cool again. As the company who taught the world the value of big data, we always knew it would be. But this is not your grandfather’s big data. It has evolved into something new – hybrid data. Sure we can help you secure, manage, and analyze PetaBytes of structured and unstructured data.

IT 78

IT Data Architecture Unstructured Data Big Data 78

Cloudera

AUGUST 26, 2021

This means that there is out of the box support for Ozone storage in services like Apache Hive , Apache Impala, Apache Spark, and Apache Nifi, as well as in Private Cloud experiences like Cloudera Machine Learning (CML) and Data Warehousing Experience (DWX). Data ingestion through ‘s3’. Ozone Namespace Overview.

Data Science 109

Data Science Forecasting Metadata Machine Learning 109

IBM Big Data Hub

APRIL 13, 2023

Here are some of the key tables: FLIGHT_DECTREE_MODEL: this table contains metadata about the model. Examples of metadata include depth of the tree, strategy for handling missing values, and the number of leaf nodes in the tree. Loukides, Mike, AI Adoption in the Enterprise 2022. and Lawrence, N.D., 1–29. Amershi, S.,

Modeling 90

Modeling Statistics Machine Learning Testing 90

AWS Big Data

APRIL 25, 2024

Optimize Iceberg data layout with hidden partitioning Apache Iceberg is a high-performance open table format for huge analytic tables, bringing the reliability and simplicity of SQL tables to big data. noaa_remote_original" ; Your data should look like the following screenshot. There are two folders: data and metadata.

Optimization 67

Optimization Data Lake Cost-Benefit Reporting 67

Cloudera

JUNE 18, 2022

The first generation of the Hive Metastore attempted to address the performance considerations to run SQL efficiently on a data lake. It provided the concept of a database, schemas, and tables for describing the structure of a data lake in a way that let BI tools traverse the data efficiently.

Data Lake 90

Data Lake Data Warehouse Machine Learning Cost-Benefit 90

CIO Business Intelligence

JUNE 23, 2022

The first generation of the Hive Metastore attempted to address the performance considerations to run SQL efficiently on a data lake. It provided the concept of a database, schemas, and tables for describing the structure of a data lake in a way that let BI tools traverse the data efficiently. Cloud Management

Data Lake 85

Data Lake Data Warehouse Machine Learning Cost-Benefit 85

AWS Big Data

FEBRUARY 24, 2023

AWS contributed the Apache Iceberg integration with the AWS Glue Data Catalog , which enables you to use open-source data computation engines like Apache Spark with Iceberg on AWS Glue. In 2022, Amazon Athena announced support of Iceberg , enabling transaction queries on S3 objects. Choose Add database.

Data Lake 80

Data Lake Metadata Testing Data Warehouse 80

IBM Big Data Hub

JUNE 26, 2023

in 2022 and it is expected to be hit around USD 118.06 Automatic capture of model metadata and facts provide audit support while driving transparent and explainable model outcomes. While OpenAI has taken the lead, the competition is growing. According to Precedence Research , the global generative AI market size valued at USD 10.79

Risk 71

Risk Deep Learning Metadata Modeling 71

AWS Big Data

DECEMBER 12, 2023

Today, businesses and organizations require cost-effective and efficient ways to process large amounts of data. Amazon EMR Serverless is a cost-effective and scalable solution for big data processing that can handle large volumes of data. Athena uses the AWS Glue Data Catalog to store the table metadata.

Data Processing 88

Data Processing Management Statistics Interactive 88

AWS Big Data

JUNE 15, 2023

AWS Clean Rooms offers an opportunity to reduce the burden on data providers in programs like these, while enabling public health agencies to analyze data using their own queries and mitigate risks to data privacy by preventing access to the underlying raw data.

Metadata 87

Metadata Dashboards Risk Statistics 87

IBM Big Data Hub

MAY 9, 2022

As discussed in the previous section data virtualization and data cataloging help get the right data to the right people by making it easier to find the data that best fits their needs and access it. Automated metadata generation is essential in order to turn a manual process into one that is better controlled.

Management 57

Management Data Quality Metadata Data Integration 57

IBM Big Data Hub

JULY 11, 2023

The number of connected things surpassed the number of connected humans for the first time in 2022. The anchor identity of the device along with metadata about the device itself, data about its locatio , and transactions made on its own behalf is its own unit of value.

IoT 55

IoT Internet of Things Interactive Data-driven 55

IBM Big Data Hub

OCTOBER 4, 2023

Why does AI need an open data lakehouse architecture? from 2022 to 2026. Another IDC study showed that while 2/3 of respondents reported using AI-driven data analytics, most reported that less than half of the data under management is available for this type of analytics. All of this supports the use of AI.

Data Lake 85

Data Lake Metadata Cost-Benefit Data Warehouse 85

AWS Big Data

JULY 3, 2023

It provides features such as ACID transactions on top of Amazon S3-based data lakes, schema evolution, partition evolution, and data versioning. With scalable metadata indexing, Apache Iceberg is able to deliver performant queries to a variety of engines such as Spark and Athena by reducing planning time.

Snapshot 82

Snapshot Data Lake Testing Strategy 82

AWS Big Data

APRIL 12, 2023

Amazon EMR on EKS provides a deployment option for Amazon EMR that allows organizations to run open-source big data frameworks on Amazon Elastic Kubernetes Service (Amazon EKS). release in January 2022, the optimized Spark runtime was 3.5 times faster than our first release of 2022, Amazon EMR 6.5. As of the Amazon EMR 6.5

Testing 73

Testing Big Data Metadata Optimization 73

IBM Big Data Hub

OCTOBER 12, 2023

They’re built on machine learning algorithms that create outputs based on an organization’s data or other third-party big data sources. Sometimes, these outputs are biased because the data used to train the model was incomplete or inaccurate in some way. Learn more about IBM watsonx 1.

Cost-Benefit 83

Cost-Benefit Metadata Data Governance Modeling 83

AWS Big Data

NOVEMBER 15, 2023

Bayerische Motoren Werke AG (BMW) is a motor vehicle manufacturer headquartered in Germany with 149,475 employees worldwide and the profit before tax in the financial year 2022 was € 23.5 Data providers and consumers are the two fundamental users of a CDH dataset. billion on revenues amounting to € 142.6

Dashboards 94

Dashboards Analytics Metadata Data Warehouse 94

AWS Big Data

JUNE 9, 2023

Despite these capabilities, data lakes are not databases, and object storage does not provide support for ACID processing semantics, which you may require to effectively optimize and manage your data at scale across hundreds or thousands of users using a multitude of different technologies.

Data Lake 113

Data Lake Metadata Optimization Statistics 113

IBM Big Data Hub

APRIL 27, 2022

Gartner defines a data fabric as “a design concept that serves as an integrated layer of data and connecting processes. The data fabric architectural approach can simplify data access in an organization and facilitate self-service data consumption at scale. 2 “Exposing The Data Mesh Blind Side ” Forrester.

Management 87

Management Metadata Data Architecture Data Lake 87

AWS Big Data

MARCH 26, 2024

This view is used to identify patterns and trends in customer behavior, which can inform data-driven decisions to improve business outcomes. In 2022, AWS commissioned a study conducted by the American Productivity and Quality Center (APQC) to quantify the Business Value of Customer 360.

Data Strategy 69

Data Strategy Strategy Data Warehouse Prescriptive Analytics 69

AWS Big Data

MARCH 9, 2023

SCD2 metadata – rec_eff_dt and rec_exp_dt indicate the state of the record. Register source tables in the AWS Glue Data Catalog We use an AWS Glue crawler to infer metadata from delimited data files like the CSV files used in this post. These two columns together define the validity of the record.

Slice and Dice 79

Slice and Dice Data Warehouse Metrics Metadata 79

AWS Big Data

JANUARY 25, 2023

We ended 2022 on a high note with the preview release of Amazon OpenSearch Serverless at re:Invent. OpenSearch Serverless caches the most recent log data, typically the first 24 hours, on ephemeral disk. This model also helps pack more data while controlling the costs.

Management 108

Management Dashboards Metadata Modeling 108

AWS Big Data

JULY 21, 2023

See Managing LF-Tags for metadata access control for more details. To demonstrate LF-TBAC with central data access governance capability, we use the scenario where two separate business units own particular datasets and need to share data across teams. She enjoys building data mesh solutions and sharing them with the community.

Data Lake 84

Data Lake Data Warehouse Marketing Management 84

AWS Big Data

MARCH 3, 2023

You can then apply transformations and store data in Delta format for managing inserts, updates, and deletes. Amazon EMR Serverless is a serverless option in Amazon EMR that makes it easy for data analysts and engineers to run open-source big data analytics frameworks without configuring, managing, and scaling clusters or servers.

Data Lake 80

Data Lake Dashboards Metrics Metadata 80

Smart Data Collective

OCTOBER 13, 2021

There are countless examples of big data transforming many different industries. There is no disputing the fact that the collection and analysis of massive amounts of unstructured data has been a huge breakthrough. We would like to talk about data visualization and its role in the big data movement.

Visualization 135

Visualization Cost-Benefit Big Data Prescriptive Analytics 135

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. In 2022 , we talked about the enhancements we had done to these services. Crawlers, salut!

Data Lake 89

Data Lake Metadata Data Governance Statistics 89

Alation

JUNE 1, 2023

Every Data, Everywhere, All at Once with DIRECTV Who: Jack Purvis , senior director, chief data officer at DIRECTV, and Joe Conard , principal big data engineer at DIRECTV When: Tuesday, June 27, at 12:30 p.m. They also recognized that to become 100% data- driven, first they had to become 100% metadata- driven.

Metadata 52

Metadata Data Governance Data-driven Recreation/Entertainment 52

AWS Big Data

NOVEMBER 29, 2023

We have seen a strong customer demand to expand its scope to cloud-based data lakes because data lakes are increasingly the enterprise solution for large-scale data initiatives due to their power and capabilities. About the authors Noritaka Sekiyama is a Principal Big Data Architect on the AWS Glue team at Amazon Web Services.

Data Lake 102

Data Lake Management Metrics Data Warehouse 102