Alation

NOVEMBER 15, 2022

Digital transformation or a change in a company’s mindset to embrace data is an important step towards becoming a truly data intelligent and more efficient business. And a data catalog is an important part of this. But what does your company need to do to achieve this?

Digital Transformation 52

Digital Transformation Software IT 52

DataKitchen

NOVEMBER 4, 2021

Data organizations often have a mix of centralized and decentralized activity. DataOps concerns itself with the complex flow of data across teams, data centers and organizational boundaries. It expands beyond tools and data architecture and views the data organization from the perspective of its processes and workflows.

Data Processing 246

Data Processing Data Lake Cost-Benefit Testing 246

Ontotext

APRIL 10, 2024

The data ecosystem today is crowded with dazzling buzzwords, all fighting for investment dollars. A survey in 2021 found that a data company was being funded every 45 minutes. Data ecosystems have become jungles and in spite of all the technology, data teams are struggling to create a modern data experience.

Metadata 52

Metadata Data Lake Data Warehouse Data Quality 52

Alation

MARCH 2, 2023

Instead, we got data. Lots and lots of data. It does feel, however, as if we need jet-like speed to analyze and understand our data, who is using it, how it is used, and if it is being used to drive value. This is because simply collecting data leaves it open to misinterpretation, misuse, and decay.

Metadata 52

Metadata Marketing IT Data Quality 52

Alation

FEBRUARY 13, 2020

Data catalogs have quickly become a core component of modern data management. Organizations with successful data catalog implementations see remarkable changes in the speed and quality of data analysis, and in the engagement and enthusiasm of people who need to perform data analysis.

Metadata 64

Metadata Data Lake Recreation/Entertainment Big Data 64

Cloudera

NOVEMBER 18, 2022

Stream processing is about creating business value by applying logic to your data while it is in motion. Many times that involves combining data sources to enrich a data stream. Flink SQL does this and directs the results of whatever functions you apply to the data into a sink. Select “Hive” as catalog type.

Data Processing 57

Data Processing Advertising IT 57

IBM Big Data Hub

JANUARY 26, 2024

To succeed in the modern era, CSPs need versatile teams, including data scientists for data interpretation and operations, software developers for automation through vendor application programming interfaces (API) and service assurance engineers for designing closed loops to ensure service reliability.

IoT 104

IoT Data-driven Interactive Management 104

AWS Big Data

JUNE 26, 2023

In today’s digital world, data is generated by a large number of disparate sources and growing at an exponential rate. Companies are faced with the daunting task of ingesting all this data, cleansing it, and using it to provide outstanding customer experience. It’s commonly referred to as a data harmonization or deduplication problem.

Insurance 81

Insurance Visualization Data Lake Metrics 81

IBM Big Data Hub

DECEMBER 8, 2023

However, how do these organizations know that focusing on software with the highest scoring CVEs is the right approach? Does reducing the number of critical CVEs significantly reduce the risk of a breach?

Risk 74

Risk Testing Reporting Software 74

IBM Big Data Hub

JUNE 12, 2023

Companies rely heavily on data and analytics to find and retain talent, drive engagement, improve productivity and more across enterprise talent management. However, analytics are only as good as the quality of the data, which must be error-free, trustworthy and transparent. What is data quality? million each year.

Data Quality 67

Data Quality Data Governance People Analytics Data-driven 67

Alation

OCTOBER 7, 2021

Jason McVay is a data scientist at Indigo Ag, an agriculture-tech company headquartered in Massachusetts. In this essay, Jason reflects on the value of thinking spatially about data, showing how his experience as a graduate student influences his role as a data scientist today. The rise of spatial data.

Data Lake 98

Data Lake Visualization Data Science Digital Transformation 98

Alation

NOVEMBER 4, 2022

In business, data-based goals tend to be very tangible. Perhaps you want to boost your ROI or CAGR, or reduce the time your analysts spend accessing and leveraging data. In this blog we’ll describe digital transformation: how it can be achieved as well as how it can benefit your business.

Digital Transformation 52

Digital Transformation Cost-Benefit Insurance Machine Learning 52

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

IBM Big Data Hub

APRIL 24, 2024

An online retailer always gets users’ explicit consent before sharing customer data with its partners. A navigation app anonymizes activity data before analyzing it for travel trends. One cannot overstate the importance of data privacy for businesses today. The user can accept or reject each use of their data individually.

Risk 86

Risk Measurement Data Governance Insurance 86

Alation

FEBRUARY 3, 2022

The goal of DataOps is to create predictable delivery and change management of data and all data-related artifacts. DataOps practices help organizations overcome challenges caused by fragmented teams and processes and delays in delivering data in consumable forms. So how does data governance relate to DataOps?

Data Governance 98

Data Governance Measurement Metadata Testing 98

Alation

MAY 24, 2022

In a sea of questionable data, how do you know what to trust? Data quality tells you the answer. It signals what data is trustworthy, reliable, and safe to use. It empowers engineers to oversee data pipelines that deliver trusted data to the wider organization. Today, as part of its 2022.2

Data Quality 52

Data Quality Metadata Reporting Metrics 52

Alation

NOVEMBER 17, 2022

But what does it mean for an organisation to be truly data-driven? What foundation needs to be in place at the start, and what journey does an organisation need to embrace to benefit from the forensic insights their data can reveal? So how do you get all of this right? Everyone talks about it, everyone wants it.

Data-driven 52

Data-driven Cost-Benefit Business Objectives Technology 52

Alation

MARCH 29, 2023

To shed further light on the value of these contracts and how they benefit our customers, I sat down for an interview with our marketing team. Prior to that, I was a CTO in the state of California and have worked for state and local governments for 15 years. What does this mean for public leaders in these regions?

Data Strategy 52

Data Strategy Strategy Data Governance Sales 52

Alation

NOVEMBER 28, 2022

introduces Alation Connected Sheets, a new product under Alation Cloud Service that empowers spreadsheet users with access to trusted data. This means that business users can reduce their reliance on IT and data teams for access to data, all without having to learn a new tool. What does that mean? The release of 2022.4

Metadata 52

Metadata Enterprise Cost-Benefit Finance 52

Ontotext

MAY 2, 2024

Data leaders today are faced with an almost impossible challenge. They are expected to understand the entire data landscape and generate business-moving insights while facing the voracious needs of different teams and the constraints of technology architecture and compliance.

Metadata 52

Metadata Data Lake Data-driven Enterprise 52

Cloudera

JUNE 2, 2022

Since 2015, the Cloudera DataFlow team has been helping the largest enterprise organizations in the world adopt Apache NiFi as their enterprise standard data movement tool. This need has generated a market opportunity for a universal data distribution service. Why does every organization need it when using a modern data stack?

Enterprise 99

Enterprise Data Lake Data Collection Data-driven 99

Alation

FEBRUARY 13, 2020

In a recent blog, titled Collaboration and Crowdsourcing with Data Cataloging , I discussed the importance of participation by all data stakeholders as a key to getting maximum value from your data catalog. This build-it-and-they-will-come approach fails to engage people to actively use the catalog.

Metadata 52

Metadata Data Governance Cost-Benefit Visualization 52

Alation

MARCH 1, 2023

How are blockchain organizations tackling data management? To learn the answer, we sat down with Karla Kirton , Data Architect at Blockdaemon, a blockchain company, to discuss data strategy , decentralization, and how implementing Alation has supported them. What are the goals of your data team?

Data Strategy 52

Data Strategy Strategy Metadata Interactive 52

erwin

MAY 20, 2020

Data governance (DG) as a an “emergency service” may be one critical lesson learned coming out of the COVID-19 crisis. During times of crises, many of the less critical programs of work may be put on hold however ground-breaking they are. Deploying a Data Governance Strategy. Data Governance for Visibility and Data Control.

Data Governance 144

Data Governance Metadata Risk Strategy 144

Alation

FEBRUARY 13, 2020

If you’ve ever been 13, you know just how important the second half of this sentiment is. Alation is a hyper-growth startup leading the Machine Learning Data Catalog space with an innovative product and passionate customers. At Alation, our mission is to empower a more curious and rational world.

Sales 97

Sales Digital Transformation Statistics Machine Learning 97

Alation

JULY 30, 2021

6 Business Problems Data Catalogs Solve. The question I ask now is: What business problems does a data catalog solve for business customers? 1: Biz Problem – Making Data Accessible & Scalable in the Cloud. But how do you do so effectively and efficiently? Savings are a piece of this, too.

Data Warehouse 52

Data Warehouse Data Governance Machine Learning Data-driven 52

Alation

AUGUST 9, 2022

Today, data is more valuable to a company than it’s ever been. It can help you make data-driven decisions which can improve business performance, boost revenue, and improve efficiencies. But in the four years since it came into force, have companies reached their full potential for data integrity? What is data integrity?

Data Integration 52

Data Integration Data Quality Measurement Strategy 52

Alation

AUGUST 17, 2022

According to analysts, data governance programs have not shown a high success rate. According to CIOs , historical data governance programs were invasive and suffered from one of two defects: They were either forced on the rank and file — who grew to dislike IT as a result. The Risks of Early Data Governance Programs.

Data Governance 92

Data Governance Risk Data-driven Measurement 92

AWS Big Data

JANUARY 17, 2024

This allows you to simplify security and governance over transactional data lakes by providing access controls at table-, column-, and row-level permissions with your Apache Spark jobs. Many large enterprise companies seek to use their transactional data lake to gain insights and improve decision-making.

Data Lake 96

Data Lake Snapshot Big Data Data-driven 96

AWS Big Data

MAY 18, 2023

Deriving insight from data is hard. It’s even harder when your organization is dealing with silos that impede data access across different data stores. Seamless data integration is a key requirement in a modern data architecture to break down data silos. AWS Glue released version 4.0 runtime ( 3.5

Testing 78

Testing Data Lake Cost-Benefit Data Integration 78

Alation

APRIL 18, 2023

For any data user in an enterprise today, data profiling is a key tool for resolving data quality issues and building new data solutions. In this blog, we’ll cover the definition of data profiling, top use cases, and share important techniques and best practices for data profiling today.

IT 52

IT Metadata Data Quality Data Governance 52

CIO Business Intelligence

JULY 13, 2022

Since 2015, the Cloudera DataFlow team has been helping the largest enterprise organizations in the world adopt Apache NiFi as their enterprise standard data movement tool. This need has generated a market opportunity for a universal data distribution service. Why does every organization need it when using a modern data stack?

Enterprise 88

Enterprise Data Lake Data Collection Data-driven 88

Alation

NOVEMBER 8, 2022

In a previous blog post I wrote about the concept of data accessibility: how an ever-growing number of successful organizations are increasingly using data to help make more intelligent business decisions. For the concept to work, I argued that organizations will need to become accessible.

Measurement 52

Measurement Reporting Data-driven Metrics 52

IBM Big Data Hub

APRIL 20, 2023

When consumers lose trust in a bank’s ability to manage risk, the system stops working. This trust depends on an understanding of the data that inform risk models: where does it come from, where is it being used, and what are the ripple effects of a change? Trust is the cornerstone on which the banking industry is built.

Risk 72

Risk Risk Management Reporting Metadata 72

Alation

FEBRUARY 20, 2020

Why does this report use a non-standard definition of region? In organizations where more and more people are using data, the nuances of business semantics must become more widely distributed knowledge. Alation’s Data Catalog makes finding, understanding and verifying data to ultimately uncover true business insights easy.

Metadata 52

Metadata Analytics Dashboards Sales 52

Alation

FEBRUARY 12, 2021

Data culture is top of mind for nearly every data leader. According to a recent Gartner survey , data culture was the #1 priority for chief data officers (CDOs). McKinsey, the management consulting firm known for its deep knowledge of the C-suite, is writing about data culture and why it matters.

Data-driven 59

Data-driven Data Governance Software Statistics 59

Alation

MARCH 7, 2023

Nolan Steiner is a scuba diver, octopus lover, and data science team lead at Avista, an energy company involved in the production, transmission, and distribution of energy in eastern Washington, northern Idaho, and parts of Oregon. Below, Nolan shares how Avista uses Alation to transform data into value. That’s where I come in.

Data-driven 52

Data-driven Forecasting Data Science Optimization 52