Why unstructured data is the future of data management

Venture Beast

Enterprises are increasingly relying on unstructured data for analytics and decision-making. Komprise COO weighs in on the challenges. Read More.

Data 112

How to Expand Data Governance with Successful Citizen Data Science

Social, Agile and Transformation

How do you get business leaders to participate in data governance programs? Many business leaders still believe that it's IT's issue to fix all the problems when there are data issues.


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Data Fabric Architecture is Key to Modernizing Data Management and Integration


Data management agility has become a mission-critical priority for organizations in an increasingly diverse, distributed, and complex environment. What is data fabric? Read More: Gartner Top 10 Data and Analytics Trends for 2021. Think of data fabric as a self driving car.

Gartner Top 10 Data and Analytics Trends for 2021


When COVID-19 hit, organizations using traditional analytics techniques that rely heavily on large amounts of historical data realized one important thing: Many of these models are no longer relevant. Essentially, the pandemic changed everything, rendering a lot of data useless.

Trends 364

How To Design Your Next Roadmap with Data-Driven Pit Stops Masterclass

Speaker: Sonia Singhal, Product Manager at eBay

Sonia Singhal, Product Manager at Design My Trips, knows just how to help you generate value from your data. She will walk you through a data-driven roadmap designed to increase your workflow during your decision-making process.

Snowflake: The Cloud Data Platform


Snowflake’s cloud data platform was designed to shatter the barriers that have prevented organizations of all sizes from unleashing the true value from their data. Big Data Companies Cloud Computing Companies Company

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Do You Need a Chief Data Officer?


Less than half of large companies have a chief data officer (CDO), according to the 2021 Gartner CEO and Senior Business Executive Survey. But if you want a data-driven culture where data and analytics drive how you excel at decision making , you need a CDO.”.

Data 227

How to Achieve Smart Data Sharing


Data sharing remains crucial to team and organizational performance, yet organizations report that they struggle with how to create a trusted data-sharing culture. Resist data hoarding. An overly risk-averse approach to data sharing can create a lack of access to key data.

Data 301

The Best Ways to Organize Your Data Structures


Data hubs, data lakes and data warehouses are all significant areas of investment for data and analytics leaders to support increasingly complex, diverse and distributed data workloads. Data hubs, data lakes and data warehouses are not interchangeable alternatives.

Data 311

Build a data lakehouse to avoid a data swamp

Venture Beast

Data lakehouse takes the data structure and data management features of a data warehouse and adds in scalable storage of a data lake.

Immuta’s SaaS deployment option helps implement data access control across cloud data environment


Immuta launched new SaaS deployment option, enabling data teams to implement data access control across their entire cloud data environment in minutes.

Data 222

Storytelling: The Secret Weapon to Turning Your Data into Meaning

Speaker: Nils Davis, Principal, NPD Associates

Your end-user is important to your product’s development. However, this begs the question: “How do I tell if what I'm hearing from a customer is a need or 'just' a want?” Storytelling is critical for turning data into meaning and can be used for simple decision-making. In this session, Nils Davis will walkthrough a powerful model of what makes a great story.

Why Data Science, DataOps, and Data Governance need Agile Methodologies

Social, Agile and Transformation

Data science requires questions, hypotheses, discovery, analysis, and recalibration. While the words I'm using to describe a data science are different than software development, the process and mindset are very applicable to agile methodologies. . It's called science for a reason.

Agile 207

How DataOps Amplifies Data and Analytics Business Value


The pandemic has accelerated the need for data and analytics leaders to deliver data and analytics insight faster, with higher quality and resiliency in the face of constant change. ” to “How do we provide an optimized, governed data-driven product.

Data 298

How Data and Analytics Leaders Can Master Governance


Forty-two percent of data and analytics leaders do not assess, measure or monitor their data and analytics governance, according to a recent Gartner survey. Good data and analytics governance enables faster, smarter decisions. Involve the broader organization in data governance.

3 Ways to Embrace Proactive Data Ethics


Should a K-12 education system collect data from school laptops to assess student performance? Or a car manufacturer collect and share data on vehicle trips to inform smart city programs? Shift the organization’s data governance mindset. Become a data ethics thought leader.

Data 311

Irish data regulator still probing Facebook data transfer policy

Venture Beast

Elevate your enterprise data technology and strategy at Transform 2021. Big Data Cloud Enterprise VB Home Page category-/News/Politics data center data privacy data transfer government surveillance Privacy Shield

The Beauty and Brains of Actionable Data: How to Go From Concept to Reality

Speaker: Dr. Joe Perez, Senior Systems Analyst at NC Dept. of Health & Human Services, and Chief Technology Officer at SolonTek

Join Dr. Joe Perez, Senior Systems Analyst at NC DHHS, and Chief Technology Officer, SolonTek, to learn how you can capitalize on your ideas by blending internal with external while leveraging them into a cohesive strategy for both the short term and the long term.

Modernise business relationships with Snowflake Data Marketplace


In today’s digitally driven world, data sharing or exchanging is absolutely essential. Companies across industries need data to collaborate with diversified business partners and deliver services to customers. As the Data Cloud has evolved, these data connections have become […].

Data 240

Immuta Automates Data Access Governance for Cloud Data Ecosystems


Immuta, the automated data governance company, today announced the availability of new features for its Automated Data Governance platform including new, native integrations with Starburst Presto and Presto.

Dun & Bradstreet: A leader in commercial data and analytics


We track Dun & Bradstreet in the CTOvision tech directory as a a Big Data company. Dun & Bradstreet is recognized as the global leader in commercial data and analytics, […]. Big Data Companies Carahsoft

Data 273

Avoid 5 Pitfalls When Building Data and Analytics Teams


The primary mission of many data and analytics leaders and chief data officers (CDOs) consists of building an effective data and analytics team to establish data and analytics as a strategic discipline within their organization. How to overcome a lack of data literacy.

Data 310

Best Practices for Creating Long-Lasting and Continuous Discovery Habits

Speaker: Teresa Torres, Internationally Acclaimed Author, Speaker, and Coach at ProductTalk.org

Join internationally acclaimed author, speaker, and coach Teresa Torres as she explores the what, how, and why behind creating continuous discovery habits that give your team a clear benchmark to aspire to.

Your Data Center is Old. Now What?


Yet reinvesting in legacy technologies like data center infrastructure can often pay dividends in the form of increased capacity and reduced operating costs. Here are three ways that I&O leaders can optimize existing data centers to support new and emerging business services.

Maximizing data privacy: Making sensitive data secure by default


Read Ayal Yogev explain how companies can maximize data security by making sensitive data secure by default on Help Net Security : Consider the case of contact tracing, which has […].

.Net 287

Gartner Top 10 Data and Analytics Trends


Using augmented analytics , banks found that younger clients (aged 20 to 35) are actually more likely to transition into wealth management — a clear example of how relying on business users to find patterns, and on data scientists to build models manually, may result in bias and incorrect conclusions. Digital transformation has put data at the center of every organization. Businesses are awash with data. 2: Augmented data management. 6: Data fabric.

Trends 240

Big Data Project Management: Data Must Flow!


I'm currently researching big data project management in order to better understand what makes big data projects different from other tech related projects. So far I've interviewed more than a dozen government, private sector, and academic professionals, all of them experienced in managing data intensive projects. What I'm finding is that professionals with experience managing such projects believe that big data projects do share characteristics with other types of projects.

The Unexpected Cost of Data Copies

This paper will discuss why organizations frequently end up with multiple data copies and how a secure "no-copy" data strategy enabled by the Dremio data lake service can help reduce complexity, boost efficiency, and dramatically reduce costs.

Latest big data developments in the realm of data lakehouse

Venture Beast

The data analytics landscape is littered data stores (search, graph, columnar, row) and processing and storage projects. It can be confusing. Read More.

How to Communicate Important COVID-19 Data


The question is, how do you communicate a complex idea like an epidemic curve to people with little to no understanding of data? Use data storytelling techniques to identify, frame and communicate the COVID-19 narrative in a manner that is appropriate for each stakeholder group.”.

Data 300

How to Get Started With Master Data Management


The story quickly went viral, demonstrating the impact that poor data quality can have. Poor data quality is the unintended consequence of data silos and a lack of data and analytics governance. Technology alone is insufficient to solve the bigger problem of data and analytics governance. A Gartner survey found that organizations believe poor data quality cost them an average of $11.8 Many also confuse what is and isn’t master data.

Data 237

Chief Data Officers Help Steer Digital Transformations

Information Week

Chief Data Officers are prioritizing data quality, ROI from data and analytics investments, and data sharing

Data 141

Ultimate Guide to the Cloud Data Lake Engine

This guide describes how to evaluate cloud data lake engine offerings based on their ability to deliver on their promise of improving performance, data accessibility, and operational efficiency as compared with earlier methods of querying the data lake.

Enterprise Architecture’s Role in Building a Data-Driven Organization


Organizational demands for data and analytics (D&A) are growing, but many EA and TI leaders remain focused on data management programs that aren’t linked to business priorities. Understand end-to-end data flows to ensure optimization. Data & Analytics

Data sync automation startup Syncari raises $17.3M

Venture Beast

Syncari, a data sync automation startup, has raised $17.3 million in a series A round, bringing its total raised to over $23 million. Read More.

Data 101

Gartner Top 10 Trends in Data and Analytics for 2020


The trials use a living database that compiles and curates data from trial registries and other sources. Here are the top 10 technology trends that data and analytics leaders should focus on as they look to make essential investments to prepare for a reset. Data & Analytics

Trends 312

Create a Data-Driven Culture by Influencing 3 Areas


Christine was recently appointed chief data officer (CDO) in a retail organization in the U.K. to develop a data-driven strategy. Her predecessor was mainly focused on supplying data to the business, but Christine knows the real goal is to drive business value from the data and analytics programs by providing insights based on the data. . Identify and communicate the business value of data. Address the cultural change impacts of a data-driven approach.

Data 238

Top Considerations for Building an Open Cloud Data Lake

In this paper, we explore the top considerations for building a cloud data lake including architectural principles, when to use cloud data lake engines and how to empower non-technical users.

A Data and Analytics Leader’s Guide to Data Literacy


That’s essentially how a data-driven business functions when there is no data literacy. If no one outside the department understands what is being said, it doesn’t matter if data and analytics offers immense business value and is a required component of digital business. By 2020, 50% of organizations will lack sufficient AI and data literacy skills to achieve business value. In short, the ability to “speak data” will become an integral aspect of most day-to-day jobs.

Data 253

What is Proactive Data Governance?

Social, Agile and Transformation

If you go to most business leaders to discuss data governance, you are likely to get a glazing stare that screams, "What the heck are you talking about?" Data policies? Data security? Data quality? Data cataloging? Master data management?

Dremio launches data lake service running on AWS cloud

Venture Beast

Dremio today launched a data lake platform running on AWS that provides an alternative to data warehouses in the cloud. Read More.

Data 81

No, Data Is NOT The New Oil


In our many travels, conferences, speaking engagements, and other interactions with customers, technology vendors, press and others, we seem to often hear the same refrain: “Data is the new oil” as if that’s supposed to mean something profound. Artificial Intelligence Big Data and Analytics News ai ai-first artificial intelligence Cognilytica data dataset machine learning structured Data Unstructured Data

Data 227

ABCs of Data Normalization for B2B Marketers

Data normalization. It’s not a far stretch to suggest that the topic isn’t exactly what gets marketers excited in their day-to-day workflow. However, if lead generation, reporting, and measuring ROI is important to your marketing team, then data normalization matters - a lot. In this eBook, we’ll break down the ins and outs of data normalization and review why it’s so critical for your marketing strategies and goals!