Cloudera

SEPTEMBER 12, 2018

. — Mike Barlow, author of “Learning to Love Data Science” (O’Reilly Media). And now, without further delay, we are excited to announce the winners of the 2018 Data Impact Awards, listed by award theme and category: Business Impact. Modern Data Warehousing: Barclays (nominated together with BlueData ).

Machine Learning 44

Machine Learning Big Data Data Science Data Warehouse 44

Cloudera

MAY 10, 2018

Cloudera 2017 Data Impact Award Winners. We are excited to kick off the 2018 Data Impact Awards ! Since 2012, the Data Impact Awards have showcased how organizations are using Cloudera and the power of data to transform themselves and achieve dramatic results. Deadline to submit is July 20, 2018.

Machine Learning 41

Machine Learning Predictive Analytics Data-driven Data Science 41

Cloudera

JANUARY 8, 2018

The compliance regulation ‘ du jour ‘ if you will, the EU General Data Protection Regulation (GDPR). With the regulation set to come into force on May 25 th 2018, time is fast running out for businesses of all shapes and sizes to get their data houses in order. And guess what’s causing it?

Data Warehouse 41

Data Warehouse Risk Big Data Technology 41

Cloudera

JUNE 29, 2018

Over the past decade, Cloudera University has taught more than 50,000 developers, administrators, analysts, and data scientists how to apply big data technologies. Starting July 30, 2018, Cloudera University will post a monthly session of blended learning. How Will Blended Learning Work?

Interactive 42

Interactive Big Data Technology Data Warehouse 42

Cloudera

DECEMBER 12, 2018

After having rebuilt their data warehouse, I decided to take a little bit more of a pointed role, and I joined Oracle as a database performance engineer. I spent eight years in the real-world performance group where I specialized in high visibility and high impact data warehousing competes and benchmarks. Interesting times.

Data Warehouse 41

Data Warehouse Marketing Big Data Data Lake 41

IBM Big Data Hub

JANUARY 10, 2023

This allows data that exists in cloud object storage to be easily combined with existing data warehouse data without data movement. The advantage to NPS clients is that they can store infrequently used data in a cost-effective manner without having to move that data into a physical data warehouse table.

Data Warehouse 52

Data Warehouse Cost-Benefit Statistics Data Processing 52

AWS Big Data

DECEMBER 8, 2023

More and more of FanDuel’s community of analysts and business users looked for comprehensive data solutions that centralized the data across the various arms of their business. Their individual, product-specific, and often on-premises data warehouses soon became obsolete.

Data Warehouse 69

Data Warehouse Cost-Benefit KPI Risk 69

Domino Data Lab

JULY 22, 2019

By virtue of that, if you take those log files of customers interactions, you aggregate them, then you take that aggregated data, run machine learning models on them, you can produce data products that you feed back into your web apps, and then you get this kind of effect in business. That was the origin of big data.

Data Science 109

Data Science Machine Learning Data Governance Modeling 109

O'Reilly on Data

SEPTEMBER 11, 2019

Machine learning, artificial intelligence, data engineering, and architecture are driving the data space. The Strata Data Conferences helped chronicle the birth of big data, as well as the emergence of data science, streaming, and machine learning (ML) as disruptive phenomena. 1 again in proposals this year.

IoT 20

IoT Big Data Data Warehouse Uncertainty 20

BizAcuity

MAY 10, 2022

2007: Amazon launches SimpleDB, a non-relational (NoSQL) database that allows businesses to cheaply process vast amounts of data with minimal effort. An efficient big data management and storage solution that AWS quickly took advantage of. They now have a disruptive data management solution to offer to its client base.

Data-driven 52

Data-driven IoT Unstructured Data Data Lake 52

Sisense

APRIL 7, 2020

Dealing with Data is your window into the ways Data Teams are tackling the challenges of this new world to help their companies and their customers thrive. We live in an era of Big Data. The sheer amount of data being generated is greater than ever (we hit 18 zettabytes in 2018) and will continue to grow.

Big Data 86

Big Data Data Warehouse Cost-Benefit Snapshot 86

Cloudera

OCTOBER 3, 2018

In 2008, I co-founded Cloudera with folks from Google, Facebook, and Yahoo to deliver a big data platform built on Hadoop to the enterprise market. We believed then, and we still believe today, that the rest of the world would need to capture, store, manage and analyze data at massive scale.

Uncertainty 75

Uncertainty IoT Risk Reporting 75

IBM Big Data Hub

AUGUST 1, 2023

A specific kind of foundation model known as a large language model (LLM) is trained on vast amounts of text data for NLP tasks. An open-source model, Google created BERT in 2018. Fortunately, data stores serve as secure data repositories and enable foundation models to scale in both terms of their size and their training data.

Modeling 59

Modeling Cost-Benefit Data Lake Machine Learning 59

Cloudera

JUNE 14, 2018

Gartner’s recently released report “Master Data Management Forms the Basis of a Trusted 360-Degree View of the Customer,” shares the results of an executive survey highlighting several key points, including that customer initiatives, are among CEOs’ top five priorities in 2018. You can download the free report here.

Strategy 44

Strategy Interactive ROI Marketing 44

Cloudera

FEBRUARY 11, 2019

In the next sections, we’ll reveal what else is needed as well as how to right-size governance of more than just data helps organizations achieve their objectives. To achieve their goals of digital transformation and becoming data-driven, companies need more than just a better data warehouse or BI tool.

Digital Transformation 56

Digital Transformation Data Governance Data Warehouse Data-driven 56

Domino Data Lab

FEBRUARY 4, 2019

People who attended JupyterCon 2017–2018 can attest, an “industry poster session” includes an open bar, catered hors d’oeuvres, lots of mingling … to paraphrase feedback from JupyterCon, “As a tech person, would I get up extra early to meet strangers for coffee at 8:00 am? Pierre-Yves Oudeyer (2018). This is not that. Taking a pulse.

Data Science 66

Data Science Experimentation Data-driven Machine Learning 66

Alation

FEBRUARY 13, 2020

Alation’s TrustCheck technology enables a new and modern approach to agile data governance. And, it recently received the 2018 Digital Innovation Award for Big Data from Ventana Research. TrustCheck is helping customers improve analytics behavior and ensure compliance, without restricting analytical agility.

Dashboards 52

Dashboards Data-driven Visualization Data Quality 52

Alation

FEBRUARY 13, 2020

billion merger of Cloudera and Hortonworks, the widely scrutinized GDPR (General Data Protection Regulation), or the Cambridge Analytica scandal that rocked Facebook. Amid the headline grabbing news, 2018 will also be remembered as the year of the data catalog. Ventana Research’s 2018 Digital Innovation Award for Big Data.

Metadata 52

Metadata Machine Learning Data Governance Reporting 52

Alation

FEBRUARY 20, 2020

The next stops on the MLDC World Tour include Data Transparency in Washington, Gartner Symposium/ITxpo in Orlando, Teradata Analytics Universe in Las Vegas, Tableau in New Orleans, Big Data LDN in London, TDWI in Orlando and Forrester Data Strategy & Insights in Orlando, again. Data Catalogs Are the New Black.

Machine Learning 52

Machine Learning Metadata Reporting Data-driven 52