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.

Palantir: Revolutionizing big data analytics


and its products like Gotham, Foundry, and Apollo on his blog : A brief background on Palantir – it is typically described as a company that focuses on big data analytics by writing software that enables effective analysis against complicated, data-driven problems.


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Data transformation platform raises $22M

Venture Beast, a startup developing a data transformation and management platform, has raised $22 million in venture funding. Read More.

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Data flow management platform Nexla nabs $12M

Venture Beast

Nexla, a startup developing a platform for data flow management, has raised $12 million in venture capital. Read More.

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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.

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.

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Palantir Is About Data And Data Is The Future


Read why Bill Zettler says that data is the future of technology and Palantir Technologies, Inc. is right in the middle of it on Seeking Alpha : Palantir (NYSE:PLTR) is one of the more controversial stocks on Seeking Alpha right now with 25 articles being published just in June.

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Data-Driven Organizations: What are Principal Responsibilities of Successful Chief Data Officers

Social, Agile and Transformation

Confused about the role of the chief data officer? Does the CDO oversee data-related audits, or are they stakeholders to them? agile data big data data management data scientist leadershipYou're not alone!

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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.”.

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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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Data observability platform Bigeye lands $45M

Venture Beast

Bigeye, a data observability platform that leans heavily into automation, has raised $45 million. Read More.

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12 Considerations When Evaluating Data Lake Engine Vendors for Analytics and BI

Businesses today compete on their ability to turn big data into essential business insights. Modern enterprises leverage cloud data lakes as the platform used to store data. 57% of the enterprises currently using a data lake cite improved business agility as a benefit.

Osano, a data compliance platform, raises $11M

Venture Beast

Osano, a startup developing data privacy compliance solutions, has raised $11 million in venture equity capital. Read More.

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How database companies keep their data straight

Venture Beast

Delivering consistent data with one computer is simple. Big Data Enterprise VB Home Page category-/Business & Industrial category-/Computers & Electronics/Enterprise Technology/Data Management data database

Data observability platform Acceldata nabs $35M

Venture Beast

Acceldata, a data observability startup targeting enterprise use cases, has raised $35 million in venture capital. Read More.

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Immuta: Demand for data is growing, but so are data supply chain challenges


55% of those surveyed report that data is often stale or out-of-date by the time it is consumed or analyzed. Lack of automation and data security challenges are root causes of the friction, and unless resolved, organizations will struggle to be successful with DataOps and cloud migration.

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Data observability platform Bigeye lands $45M

Venture Beast

Bigeye, a data observability platform that leans heavily into automation, has raised $45 million. Read More.

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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.

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

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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.

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Cloud data integration provider Matillion secures $150M

Venture Beast

Matillion, a cloud platform designed to transform data, has raised $150 million in a venture capital funding round. Read More.

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How to Democratize Data Across Your Organization Using a Semantic Layer

Speaker: speakers from Verizon, Snowflake, Affinity Federal Credit Union, EverQuote, and AtScale

Learn from data and analytics leaders at Verizon, Snowflake, EverQuote, and Affinity Federal Credit Union about how to foster a data literate culture while scaling data access and self-service analysis across your organization using a semantic layer.

How to Use Citizen Data Scientists to Maximize Your D&A Strategy


As the power of data science provides organizations with differentiating competitive advantages, the demand for talent is rising. This has led to data science and machine learning (ML) being opened up to nontraditional roles, such as the citizen data scientist.

Becoming Data-Driven and Improving Data Health with Talend’s CTO Krishna Tammana

Social, Agile and Transformation

Many people are experts in processing data, managing big data sets, performing data analytics, and storytelling with data. And then, there are true data experts who have experience working across industries, technologies, and different data complexities and provide lessons and wisdom on how organizations can become more data-driven. One of those data experts is Krishna. agile data big data cio data management data scientist enterprise 2.0

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The 2021 machine learning, AI, and data landscape

Venture Beast

The 2021 machine learning, AI, and data landscape is marked by explosive growth. AI Big Data Data Enterprise VB Home Page 2021 artificial inteligence category-/Business & Industrial category-/Computers & Electronics/Enterprise Technology data enterprise machine learning Trends

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MLOps platform Domino Data Lab nabs $100M

Venture Beast

Domino Data Lab, an MLOps platform aimed at enterprise customers, has raised $100 million in a funding round with participation from Nvidia. Read More.

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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.

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.

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Survey of 500+ Data Professionals Reveals Large Gap in the Data Supply Chain


A recent study by S&P Global Market Intelligence and Immuta revealed that companies that follow data privacy and security regulations are leading the way in data strategies.

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Data observability startup Monte Carlo raises $60M

Venture Beast

Monte Carlo, a startup leveraging AI to power its data observability tech, has raised $60 million in venture capital. Read More.

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Data management puts enterprises to the test

Venture Beast

As the amount of data to manage within the enterprise grows, organizations are struggling to overcome challenges. Read More.

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!

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 […].

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Komprise offers to help companies consolidate their scattered data

Venture Beast

Without automation, data consolidation can be time-consuming and expensive, preventing companies from pursuing fruitful data analysis. Read More.

Thank Your Data Engineers With A Streaming Data Warehouse


Read Andrew Wooler explain how Kinetica can provide a cost-effective streaming data warehouse on Forbes : I recently watched the movie Ford v Ferrari, based on the true story of […].

Google debuts new data-powered cloud analytics products

Venture Beast

At Google Cloud Next, Google launched a range of data products, including a manufacturing solution called Intelligent Product Essentials. Read More.

Data Value Scorecard Report

This report examines the quantitative research of data leaders on data value and return on investment.

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.

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Data Sharing Is a Business Necessity to Accelerate Digital Business


Ahead of the COVID-19 pandemic, 10 large pharmaceutical companies — including Johnson & Johnson, AstraZeneca and GSK — undertook collaborative efforts to train their drug discovery, machine learning (ML) algorithms on each other’s data to promote drug discovery.

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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

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.

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How to Scale a Data Literacy Program at Your Organization

Speaker: Megan Brown, Director, Data Literacy at Starbucks; Mariska Veenhof-Bulten, Business Intelligence Lead at; and Jennifer Wheeler, Director, IT Data and Analytics at Cardinal Health

Join data & analytics leaders from Starbucks, Cardinal Health, and for a webinar panel discussion on scaling data literacy skills across your organization with a clear strategy, a pragmatic roadmap, and executive buy-in.