Octopai

NOVEMBER 13, 2022

Data lineage is the ability to view the path of data as it flows from source to target within your data ecosystem, along with everything that happened to it along the way. And data lineage solutions will also show you any transformations the data underwent on its journey.

Enterprise 77

Enterprise Data Warehouse Reporting Metadata 77

Alation

JANUARY 17, 2023

The modern data stack is a combination of various software tools used to collect, process, and store data on a well-integrated cloud-based data platform. It is known to have benefits in handling data due to its robustness, speed, and scalability. A typical modern data stack consists of the following: A data warehouse.

Data Warehouse 52

Data Warehouse Cost-Benefit Data Transformation Data Science 52

Alation

APRIL 14, 2023

In “The modern data stack is dead, long live the modern data stack!” the presenters elaborated on the common pain points of the cloud data warehouse today and predicted what it may look like in the future. So, how can a data catalog support the critical project of building data pipelines?

Data Warehouse 52

Data Warehouse Data-driven Digital Transformation Metadata 52

IBM Big Data Hub

JULY 17, 2023

sales conversation summaries, insurance coverage, meeting transcripts, contract information) Generate: Generate text content for a specific purpose, such as marketing campaigns, job descriptions, blogs or articles, and email drafting support. foundation models to help users discover, augment, and enrich data with natural language.

Machine Learning 64

Machine Learning Data Warehouse Modeling Cost-Benefit 64

datapine

SEPTEMBER 29, 2022

6) Data Quality Metrics Examples. 7) Data Quality Control: Use Case. 8) The Consequences Of Bad Data Quality. 9) 3 Sources Of Low-Quality Data. 10) Data Quality Solutions: Key Attributes. Industry-wide, the positive ROI on quality data is well understood. 2 – Data profiling. With a shocking 2.5

Data Quality 241

Data Quality Metrics Data-driven Management 241

AWS Big Data

OCTOBER 18, 2023

Apache Hive is a distributed, fault-tolerant data warehouse system that enables analytics at a massive scale. Spark SQL is an Apache Spark module for structured data processing. host') export PASSWORD=$(aws secretsmanager get-secret-value --secret-id $secret_name --query SecretString --output text | jq -r '.password')

Big Data 83

Big Data Data Processing Interactive Testing 83

Laminar Security

MAY 3, 2023

Awareness of shadow data and the importance of DSPM to discover and combat the risk of this previously unknown data is growing at an almost unprecedented rate. Innovative security leaders are recognizing the competitive advantage they can achieve by implementing a DSPM solution that enables innovation and reduces risk. #2:

Management 52

Management Risk Risk Management Data Processing 52

Cloudera

NOVEMBER 13, 2017

As the market moves toward cloud-based big data and analytics, three qualities emerge as vital for success. The net result is much improved productivity for data engineers, data scientists, and analysts. Unified – Conceptually, cloud sounds like a single place to host diverse, data-intensive functions.

Analytics 40

Analytics Big Data Machine Learning Cost-Benefit 40

Cloudera

AUGUST 21, 2020

There are now tens of thousands of instances of these Big Data platforms running in production around the world today, and the number is increasing every year. Many of them are increasingly deployed outside of traditional data centers in hosted, “cloud” environments. But the “elephant in the room” is NOT ‘Hadoop’.

Cost-Benefit 74

Cost-Benefit Big Data ROI Risk 74

Alation

FEBRUARY 8, 2022

The challenge of centralized data ownership comes down to lack of depth and breadth of expertise. When the central team lacks the expertise of, say, a marketing function — yet are tasked with serving up marketing data — the quality of that data becomes suspect, and distrust in that data is likely to become a problem.

Data Governance 52

Data Governance Data-driven Metadata Enterprise 52

Jet Global

MAY 1, 2023

Section 2: Embedded Analytics: No Longer a Want but a Need Section 3: How to be Successful with Embedded Analytics Section 4: Embedded Analytics: Build versus Buy Section 5: Evaluating an Embedded Analytics Solution Section 6: Go-to-Market Best Practices Section 7: The Future of Embedded Analytics Section 1: What are Embedded Analytics?

Analytics 52

Analytics Cost-Benefit Visualization Dashboards 52

Andrew White

JANUARY 11, 2021

On January 4th I had the pleasure of hosting a webinar. It was titled, The Gartner 2021 Leadership Vision for Data & Analytics Leaders. This was for the Chief Data Officer, or head of data and analytics. How does CDO overlap with Market Research functions? Link Data to Business Outcomes.

Data Analytics 52

Data Analytics Analytics Data-driven Finance 52