Cloudera

OCTOBER 29, 2020

DV gives everyone across the data lifecycle the ability to present data analytics and machine learning models in meaningful ways. Data comes in different forms and speeds, that’s why CDP offers the right mechanisms to ingest, store, and query based on the characteristics of data.

Machine Learning 116

Machine Learning Unstructured Data Data Warehouse Government 116

DataKitchen

DECEMBER 7, 2021

The magic sauce of this book lies in the three groups that Jesse outlines and dives into as necessary for data analytics projects to be successful (i.e., the data scientist, the engineer, and the operations engineer). You can purchase Data Teams from its publisher site at Apress here.

Data Governance 98

Data Governance Big Data Data Science Government 98

DataKitchen

DECEMBER 30, 2020

In June of 2020, Database Trends & Applications featured DataKitchen’s end-to-end DataOps platform for its ability to coordinate data teams, tools, and environments in the entire data analytics organization with features such as meta-orchestration , automated testing and monitoring , and continuous deployment : DataKitchen [link].

Manufacturing 96

Manufacturing Big Data Data Pipeline Data Science 96

Snowflake

SEPTEMBER 6, 2023

Integrating shopper data into one single, queryable location creates a foundation for strategic decision-making, ensuring that every touchpoint is rooted in accurate, comprehensive data. Identity resolution is the intricate process of connecting multiple identifiers across various data touchpoints to single out one unique individual.

Retail 94

Retail Machine Learning Data Science Data Analytics 94

ThoughtSpot

DECEMBER 19, 2023

." To hear the latest trends and New Year resolutions, tune in on January 10th when we will release the first episode of Season 5, and join us on January 16 for our annual webinar. This is when ThoughtSpot’s Co-founder Amit Prakash , joined us on The Data Chief. They don't care about the three V’s of big data.

Entertainment 111

Entertainment Data Big Data Data Analytics 111

Snowflake

FEBRUARY 20, 2024

Snowflake & NetAnticipate joint solution architecture Critical components of NetAnticipate’s architecture The key components of NetAnticipate are: Observe: This module ingests and pre-processes data in real time from various data sources in different formats.

Telecommunication 91

Telecommunication Cloud Computing Architecture Cloud 91

Cloudera

JUNE 18, 2022

Cloudera customers run some of the biggest data lakes on earth. These lakes power mission critical large scale data analytics, business intelligence (BI), and machine learning use cases, including enterprise data warehouses. The post The Future of the Data Lakehouse – Open appeared first on Cloudera Blog.

Data Lake 98

Data Lake Data Warehouse BI SQL 98

Snowflake

JULY 11, 2024

As a result, operational processes are evolving to accommodate increased content production and distribution channels, including streaming platforms, social media networks, podcast platforms and virtual reality environments. Integrating AI and modern data analytics into existing workflows can be complex and time-consuming.

Media 76

Media Entertainment Cloud Metadata 76

Data Engineering Weekly

MAY 5, 2024

[link] Sponsored: Navigating Aquaculture with Embedded Analytics How Scoot Science Charted Its Journey with a Universal Semantic Layer Learn how Scoot Science optimized their embedded aquaculture analytics platform through a universal semantic layer in our upcoming webinar on May 15th at 9 AM PT / 12 PM ET.

Data Engineering 69

Data Engineering Data Engineer Engineering Google Cloud 69

Cloudera

DECEMBER 19, 2018

Data analytics priorities have shifted this year. Don’t blink or you might miss what leading organizations are doing to modernize their analytic and data warehousing environments. Natural language analytics and streaming data analytics are emerging technologies that will impact the market.

BI 56

BI Cloud Computing Data Warehouse Big Data 56

DataKitchen

NOVEMBER 20, 2021

A DataOps Engineer shepherds process flows across complex corporate structures. Errors are an inherent part of data analytics. A DataOps Engineer embraces errors and uses them to drive process improvements. Curating Processes. The product for a data engineer is the data set. Process Hub.

Engineering 98

Engineering Data Engineering Data Engineer Machine Learning 98

Precisely

MARCH 10, 2023

With the right geocoding technology, accurate and standardized address data is entirely possible. This capability opens the door to a wide array of data analytics applications. The Rise of Cloud Analytics Data analytics has advanced rapidly over the past decade.

Datasets 59

Datasets Data Warehouse Big Data Data Analytics 59

DataKitchen

JANUARY 2, 2021

ModelOps depends on a comprehensive data foundation enabled by data engineering practices and DataOps. On-Demand Webinar: Your Model is Not an Island: Operationalize Machine Learning at Scale with ModelOps. DataOps provides “ the foundational data operations for operationalizing AI models. Data-AI Role Alignment.

Data Engineering 52

Data Engineering Data Engineer Engineering Government 52

Snowflake

APRIL 13, 2023

These include robotics, automation, data analytics, IoT, and artificial intelligence (AI) and machine learning (ML), according to Deloitte. You can also use Snowflake Marketplace to access external data sets that can augment your internal data and provide new perspectives and opportunities.

Manufacturing 73

Manufacturing Cloud Data Consolidation Consulting 73

Cloudera

SEPTEMBER 11, 2018

Last week Cloudera introduced an open end-to-end architecture for IoT and the different components needed to help satisfy today’s enterprise needs regarding operational technology (OT), information technology (IT), data analytics and machine learning (ML), along with modern and traditional application development, deployment, and integration.

Data Process 41

Data Process Process Building Machine Learning 41

ProjectPro

MARCH 1, 2018

News on Hadoop - February 2018 Kyvos Insights to Host Webinar on Accelerating Business Intelligence with Native Hadoop BI Platforms. The leading big data analytics company Kyvo Insights is hosting a webinar titled “Accelerate Business Intelligence with Native Hadoop BI platforms.”

Hadoop 52

Hadoop NoSQL Retail BI 52

DataKitchen

MARCH 11, 2021

Figure 1: Ops terms can be organized by team and technical environment/process. Gartner: “ XOps practices link development, deployment and maintenance together to create a shared understanding of requirements, transfer of skills and processes for monitoring and maintaining analytics and AI artifacts (see Figure 2).”.

Machine Learning 52

Machine Learning Utilities Data Data Analytics 52

DataKitchen

MARCH 18, 2024

Karuna is using our DataOps Automation and TestGen products for commercial data analytics, along with some services. James Royster said it best in a recent webinar : “ All of us (on data teams) live on that knife’s edge, right? Hoping that the data and dashboards are correct is not a strategy.

Data Analytics 9

Data Analytics Data Analysis Process IT 9

ProjectPro

SEPTEMBER 3, 2015

The Hadoop online training session at ProjectPro is conducted through 42 hours of live webinar session where an industry expert explains all the tools in Hadoop in detail. ” -Syed Ahmed, Business Process Consultant Get FREE Access to Data Analytics Example Codes for Data Cleaning, Data Munging, and Data Visualization PREVIOUS NEXT <

Hadoop 52

Hadoop Software Engineer Software Engineering Consulting 52

Snowflake

JULY 24, 2024

Verisk , a leading strategic data analytics and technology partner to the global insurance industry, first listed data sets on Snowflake Marketplace in 2019, quickly leading to multi-million dollars in recurring revenue. Ready to build and scale your growth?

ETL Method 85

ETL Method Cloud Government Insurance 85

Rockset

SEPTEMBER 7, 2021

Event stream processing has lately become the most-requested feature among data practitioners, who are ever being pushed by their business counterparts for more fresh, real-time insights to improve their operational decisions and boost the digital customer experience.

Kafka 52

Kafka SQL Education Data 52

Data Engineering Weekly

APRIL 21, 2024

link] Grab: Enabling near real-time data analytics on the data lake Apache Hudi’s Merge On Read (MoR) is a game changer in developing low-latency analytics on top of the data lake. Grab narrates how it integrated Debeizium, Kafka, and Apache Hudi to enable near real-time data analytics on the data lake.

Data Engineering 52

Data Engineering Data Engineer Engineering Medical 52

Towards Data Science

APRIL 17, 2023

You can also survey your data consumers en masse similar to how product teams launch NPS surveys, which is a strategy JetBlue’s data team discussed during a recent webinar. Asynchronous communication and feedback loops are essential for data, business alignment (especially in today’s remote world). I’m all ears.

Data 94

Data Data Engineering Data Engineer Engineering 94

Precisely

APRIL 6, 2023

Data analytics and other technologies have emerged as integral elements of most businesses. Automated data quality tools offer a means of correcting errors and inconsistencies at scale, but trust does not end there. Data enrichment and location intelligence provide much deeper context. Real-time data is the goal.

Data Integration 52

Data Integration Aggregated Data Data Pipeline Cloud Computing 52

Snowflake

JUNE 1, 2023

A revolution in data analytics is coming soon. For more than 10 years, Snowflake has been dedicated to bringing the work—pipelines, machine learning (ML) models, and apps—to your governed data. Watch this on-demand Snow on Snow webinar. Why are we so sure? Best of all, you too can soon get your hands on this solution.

Machine Learning 64

Machine Learning Food Technology Cloud 64

Knowledge Hut

DECEMBER 22, 2023

Data Analysis and Analytics: Data Analytics : Strong in data analytics is a key requirement for a product manager. Understanding tools such as Google Analytics, MixPanel, Semrush, Ahrefs, Kissmetrics etc. is an added advantage.

Management 52

Management Certification Media Education 52

Cloudera

DECEMBER 16, 2024

In the last year, weve seen the explosion of AI in the enterprise, leaving organizations to consider the infrastructure and processes for AI to successfullyand securelydeploy across an organization. Here, Cloudera experts share their insights on what to expect in data and AI for the enterprise in 2025.

Government 53

Government Healthcare Finance Cloud 53

Databand.ai

NOVEMBER 4, 2022

In a recent webinar with IBM, we dug into why data observability is so important, what’s needed for data observability, and how Databand can help. Why data observability is so important Plain and simple, the survey results say it all: Most organizations believe their data is unreliable. And it does so in real time.

Data 52

Data Data Pipeline Retail Metadata 52

ProjectPro

MAY 26, 2015

Internet of Things (IoT) IoT +Big Data+ Hadoop = A Perfect Match Made for One Another Applications of IoT and Big Data Hadoop How IoT leverages Hadoop? You can click on the link below to listen to the recording of the recent webinar on “How IoT leverages Hadoop” presented by Garima Batra.

Hadoop 52

Hadoop Unstructured Data Big Data Retail 52

DataKitchen

JUNE 1, 2022

Is my dashboard displaying the correct data? Is the delay because the job started late, or did it take too long to process? They also can’t answer a similar set of questions about their development process: Deploys. They have hundreds or thousands of existing pipelines, jobs, and processes running already.

Management 40

Management Data Analytics Data Data Architecture 40

DataKitchen

OCTOBER 11, 2021

The biggest challenge is broken data pipelines due to highly manual processes. Figure 1 shows a manually executed data analytics pipeline. First, a business analyst consolidates data from some public websites, an SFTP server and some downloaded email attachments, all into Excel. When can you declare it done?

Engineering 64

Engineering BI Business Analyst Metadata 64

Data Engineering Weekly

FEBRUARY 19, 2023

DoorDash writes about the ML lifecycle process from ideation to partnering with the customers to verify the efficiency to reduce the dasher’s waiting time. The process applies to any analytical engineering practices that start with the business problem. All rights reserved ProtoGrowth Inc, India.

Data Engineering 52

Data Engineering Data Engineer Engineering Google Cloud 52

Knowledge Hut

JANUARY 10, 2024

Application Process Apply: Researchers typically need to submit an application detailing their research project, goals, and cloud resource requirements. Application Process Apply: Startups can apply for the AWS EdStart program through the official website. Eligibility criteria may vary by region.

AWS 52

AWS Amazon Web Services Education Cloud Computing 52

Knowledge Hut

MARCH 29, 2024

Most of these interactions are hardly ever with sales reps; instead, these prospects gather info through websites, social media, online events, webinars, etc. I’m proficient in harnessing the power of data analytics and marketing automation tools to optimize targeting, reduce costs, and streamline lead nurturing processes.

Management 52

Management Education Certification Media 52

Data Engineering Weekly

FEBRUARY 26, 2023

Riffing is a 5 step process that contains What is the goal? Identify and study the raw data. Modeling Test and optimize the output Productionise into a usable format [link] Sponsored: Replacing GA4 with Analytics on your Data Cloud The GA4 migration deadline is fast approaching.

Data Engineering 59

Data Engineering Data Engineer Engineering Raw Data 59

Knowledge Hut

DECEMBER 22, 2023

They ensure the quality of IT services while analyzing business requirements using data analytics. Organizational skills: Maintain organized and up-to-date documentation, including requirement specifications, process diagrams, and meeting notes. Organize and manage data used in analysis, ensuring data integrity and accuracy.

Business Analyst 52

Business Analyst Portfolio Certification Education 52

Data Engineering Weekly

MARCH 10, 2024

link] Sponsored: Streamlining Data Analytics with a Semantic Layer - How Ramsoft uses Cube, AI & Microsoft Fabric to ensure customers have customized and intuitive embedded analytics Come join Cube’s webinar on March 13 exploring how Ramsoft uses a universal semantic layer to improve the embedded analytics experience for external users.

Data Engineering 52

Data Engineering Data Engineer Engineering Datasets 52