Alation

MARCH 31, 2023

Many D&A leaders were eager for guidance on which approach to take for their modern data stacks : mesh or fabric? Alation is helping WoodmenLife find all its data and prioritize it for migration into what Rokon called “a new, intentional landscape” that includes Azure, Snowflake , and Power BI. We couldn’t agree more.

Data Analytics 52

Data Analytics Analytics Metadata Data Governance 52

Octopai

OCTOBER 26, 2022

Except sometimes we call organizations “data-driven” when really the data is driving them up the wall. They’re managing the data; they’re governing the data; they’re so busy being on top of their data that they’re not actually using their data. The same goes for data analytics products.

Data Quality 52

Data Quality Data Analytics Analytics Manufacturing 52

Alation

MAY 19, 2022

Establish what data you have. Active metadata gives you crucial context around what data you have and how to use it wisely. Active metadata provides the who, what, where, and when of a given asset, showing you where it flows through your pipeline, how that data is used, and who uses it most often.

Metadata 52

Metadata Data Analytics Analytics Data Governance 52

Cloudera

APRIL 18, 2024

More Businesses Are Taking a Holistic Approach to Data Strategy One of the more common trends we saw coming up through conversations during the summit was the need for a reframing of how we approach data strategy—taking a much more holistic viewpoint to it than organizations otherwise would have in past years.

Analytics 104

Analytics Metadata Data Strategy Optimization 104

AWS Big Data

MARCH 22, 2024

On AWS, you can run Trino on Amazon EMR , where you have the flexibility to run your preferred version of open source Trino on Amazon Elastic Compute Cloud (Amazon EC2) instances that you manage, or on Amazon Athena for a serverless experience. This benchmark uses unmodified TPC-DS data schema and table relationships.

Metadata 92

Metadata Statistics Broadcasting Optimization 92

CIO Business Intelligence

MARCH 21, 2022

Data scientists are analytical data experts who use data science to discover insights from massive amounts of structured and unstructured data to help shape or meet specific business needs and goals. Data scientist job description. Semi-structured data falls between the two. Data scientist skills.

Unstructured Data 136

Unstructured Data Data Analytics Analytics Structured Data 136

AWS Big Data

DECEMBER 13, 2023

In addition to using native managed AWS services that BMS didn’t need to worry about upgrading, BMS was looking to offer an ETL service to non-technical business users that could visually compose data transformation workflows and seamlessly run them on the AWS Glue Apache Spark-based serverless data integration engine.

Metadata 90

Metadata Data Lake Visualization Data Transformation 90

Ontotext

AUGUST 22, 2023

Central to today’s efficient business operations are the activities of data capturing and storage, search, sharing, and data analytics. Context: The Key to Making Data Useful It goes without saying that data without meaning can yield incorrect insights, leading to potentially dangerous decisions.

Metadata 52

Metadata Knowledge Discovery Big Data Enterprise 52

AWS Big Data

FEBRUARY 29, 2024

However, enterprise data generated from siloed sources combined with the lack of a data integration strategy creates challenges for provisioning the data for generative AI applications. As part of the transformation, the objects need to be treated to ensure data privacy (for example, PII redaction).

Data Governance 97

Data Governance Unstructured Data Metadata Data Lake 97

AWS Big Data

APRIL 25, 2024

Amazon Managed Workflows for Apache Airflow (Amazon MWAA) is a managed orchestration service for Apache Airflow that you can use to set up and operate data pipelines in the cloud at scale. By using multiple AWS accounts, organizations can effectively scale their workloads and manage their complexity as they grow.

Metadata 106

Metadata Data Processing Management Testing 106

AWS Big Data

MAY 24, 2024

Apache Spark is a powerful big data engine used for large-scale data analytics. You can use Apache Spark to process streaming data from a variety of streaming sources, including Amazon Kinesis Data Streams for use cases like clickstream analysis, fraud detection, and more. add("data", StringType()).add("date",

Metadata 93

Metadata Interactive Business Objectives Management 93

DataKitchen

AUGUST 3, 2021

The data mesh design pattern breaks giant, monolithic enterprise data architectures into subsystems or domains, each managed by a dedicated team. Third-generation – more or less like the previous generation but with streaming data, cloud, machine learning and other (fill-in-the-blank) fancy tools. See the pattern?

Data Architecture 246

Data Architecture Data Lake Cost-Benefit Data Warehouse 246

Alation

FEBRUARY 13, 2020

By leveraging Google-like smart search to find data assets; using automation and self-learning instead of burdening people with the need to manually update metadata in multiple places; and ensuring that metadata is maintained by the whole data community and is not dependent on a centralized IT team.

Machine Learning 52

Machine Learning Data Analytics Analytics Metadata 52

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 120

Data Lake Data Processing Metadata Snapshot 120

DataKitchen

JANUARY 5, 2021

Data Visualization, Preparation – Self-service tools sucha as Tableau, Alteryx. Data Governance/Catalog (Metadata management) Workflow – Alation, Collibra, Wikis. In the data analytics market, this endeavor is called DataOps. Integration with workflow management .

Testing 147

Testing Data Governance Metadata Visualization 147

AWS Big Data

JANUARY 24, 2024

In 2023, AWS announced general availability for Apache Iceberg, Apache Hudi, and Linux Foundation Delta Lake in Amazon Athena for Apache Spark , which removes the need to install a separate connector or associated dependencies and manage versions, and simplifies the configuration steps required to use these frameworks.

Snapshot 102

Snapshot Data Lake Metadata Optimization 102

DataKitchen

AUGUST 9, 2021

Implementing a data mesh does not require you to throw away your existing architecture and start over. The data industry has a wide variety of approaches and philosophies for managing data: Inman data factory, Kimball methodology, s tar schema , or the data vault pattern, which can be a great way to store and organize raw data, and more.

Testing 246

Testing Data Lake Metadata Publishing 246

erwin

JANUARY 30, 2020

The results of our new research show that organizations are still trying to master data governance, including adjusting their strategies to address changing priorities and overcoming challenges related to data discovery, preparation, quality and traceability. And close to 50 percent have deployed data catalogs and business glossaries.

Data Governance 145

Data Governance Metadata Cost-Benefit Digital Transformation 145

TDAN

APRIL 6, 2021

There is an ever-increasing awareness of concerns about data privacy, corporate data breaches, increasing demands for regulatory compliance. There are also emerging concerns about the ways that big data analytics potentially influence and bias automated decision-making.

Risk Management 64

Risk Management Risk Management Big Data 64

CIO Business Intelligence

MARCH 4, 2024

With its emphasis on decentralized, domain-oriented data ownership and architecture, data mesh provides a potential answer for overmatched, out-manned businesses. Despite these benefits, the core problems that data centralization so often fails to address are the pragmatic realities of many enterprise data ecosystems.

Insurance 95

Insurance Strategy Data Governance Data Integration 95

AWS Big Data

NOVEMBER 29, 2023

From Talent Acquisition to Talent Management and talent insights, Eightfold offers a single AI platform that does it all. The Eightfold Talent Intelligence Platform powered by Amazon Redshift and Amazon QuickSight provides a full-fledged analytics platform for Eightfold’s customers.

Metadata 103

Metadata Data Warehouse Analytics Data Analytics 103

Cloudera

FEBRUARY 11, 2019

The January 2019 “Magic Quadrant for Data Management Solutions for Analytics” provides valuable insights into the status, direction, and players in the DMSA market. All this while the platform serves as the core foundation providing metadata and governance capabilities across these workloads.

Management 43

Management Metadata Analytics Machine Learning 43

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. Failing to meet these needs means getting left behind and missing out on the many opportunities made possible by advances in data analytics.”

Data Strategy 145

Data Strategy Strategy Enterprise Consulting 145

AWS Big Data

APRIL 26, 2023

Having an accurate and up-to-date inventory of all technical assets helps an organization ensure it can keep track of all its resources with metadata information such as their assigned oners, last updated date, used by whom, how frequently and more. Enables a hub-and-spoke model for Data Access in multiple AWS accounts in a data mesh fashion.

Metadata 52

Metadata Dashboards Visualization Consulting 52

CIO Business Intelligence

DECEMBER 16, 2022

An average premium of 12% was on offer for PMI Program Management Professional (PgMP), up 20%, and for GIAC Certified Forensics Analyst (GCFA), InfoSys Security Engineering Professional (ISSEP/CISSP), and Okta Certified Developer, all up 9.1% Despite this, average pay premiums for management, methodology and process skills rose 2.3%

Testing 97

Testing Metadata Data Processing Machine Learning 97

Cloudera

JUNE 7, 2022

The cause is hybrid data – the massive amounts of data created everywhere businesses operate – in clouds, on-prem, and at the edge. Only a fraction of data created is actually stored and managed, with analysts estimating it to be between 4 – 6 ZB in 2020.

IT 107

IT Data Architecture Unstructured Data Big Data 107

AWS Big Data

APRIL 2, 2024

You can use Amazon Data Firehose to aggregate and deliver log events from your applications and services captured in Amazon CloudWatch Logs to your Amazon Simple Storage Service (Amazon S3) bucket and Splunk destinations, for use cases such as data analytics, security analysis, application troubleshooting etc.

Metadata 87

Metadata Marketing Analytics Data Transformation 87

Sanjeev Mohan

FEBRUARY 6, 2019

Is Google Cloud Platform Ready to Run Your Data Analytics Pipeline? As you can tell, data governance is a hot topic but an area that many public cloud vendors are weak in. The post Is Google Cloud Platform Ready to Run Your Data Analytics Pipeline? So, why did I decide to write on this topic? I am glad you asked.

Data Analytics 49

Data Analytics Analytics Data Governance Experimentation 49

IBM Big Data Hub

DECEMBER 16, 2022

An enterprise data catalog does all that a library inventory system does – namely streamlining data discovery and access across data sources – and a lot more. For example, data catalogs have evolved to deliver governance capabilities like managing data quality and data privacy and compliance.

Metadata 52

Metadata Data Quality Data-driven Data Governance 52

TDAN

MARCH 19, 2019

Various databases, plus one or more data warehouses, have been the state-of-the art data management infrastructure in companies for years. The emergence of various new concepts, technologies, and applications such as Hadoop, Tableau, R, Power BI, or Data Lakes indicate that changes are under way.

Management 84

Management Data Lake Data Warehouse Analytics 84

Octopai

MAY 13, 2020

One of Octopai’s customers, a Seattle-based insurance quote provider operating in a data-rich environment, shared that before automating their tools, navigating their complex environment required input from many team members. Automated metadata management tools are key to putting these tools at new employees’ fingertips.

Metadata 52

Metadata Business Intelligence Visualization Insurance 52

CIO Business Intelligence

JUNE 23, 2022

The cause is hybrid data – the massive amounts of data created everywhere businesses operate – in clouds, on-prem, and at the edge. Only a fraction of data created is actually stored and managed, with analysts estimating it to be between 4 – 6 ZB in 2020. But this is not your grandfather’s big data.

IT 91

IT Data Architecture Unstructured Data Big Data 91

Cloudera

OCTOBER 11, 2022

Al needs machine learning (ML), ML needs data science. Data science needs analytics. And they all need lots of data. Different data types need different types of analytics – real-time, streaming, operational, data warehouses. And that data is likely in clouds, in data centers and at the edge.

Snapshot 89

Snapshot Data Science Digital Transformation Metadata 89

Alation

AUGUST 30, 2022

Centralization of metadata. A decade ago, metadata was everywhere. Consequently, useful metadata was unfindable and unusable. We had data but no data intelligence and, as a result, insights remained hidden or hard to come by. This universe of metadata represents a treasure trove of connected information.

Metadata 52

Metadata Data Quality Data Governance Machine Learning 52

AWS Big Data

NOVEMBER 6, 2023

Amazon Managed Workflow for Apache Airflow (Amazon MWAA) is a managed service that allows you to use a familiar Apache Airflow environment with improved scalability, availability, and security to enhance and scale your business workflows without the operational burden of managing the underlying infrastructure.

Metrics 104

Metrics Metadata Snapshot Management 104

CIO Business Intelligence

OCTOBER 26, 2023

Business intelligence (BI) analysts transform data into insights that drive business value. Candidates need a well-rounded background to balance the line between IT and the business, and usually a bachelor’s degree in computer science, business, mathematics, economics, statistics, management, accounting, or a related field.

Business Intelligence 126

Business Intelligence Data-driven Statistics Data Warehouse 126

AWS Big Data

DECEMBER 5, 2023

A combination of Amazon Redshift Spectrum and COPY commands are used to ingest the survey data stored as CSV files. For the files with unknown structures, AWS Glue crawlers are used to extract metadata and create table definitions in the Data Catalog. She helps customers architect data analytics solutions at scale on AWS.

Measurement 84

Measurement Dashboards Data Warehouse Analytics 84