4 Best Practices to Achieve Operational Excellence Across Multiple Big Data Technologies

•

0 likes•210 views

Most organizations use, on average, five different technologies to run a single data processing application including Hive, Spark, Oozie, H2O, etc. The challenge for Hadoop operations teams is how do you manage and monitor these data applications to ensure service levels are met? In this 30-min webinar, we will go through 4 things you need in order to deliver Hadoop operations excellence.

Technology

Confidential
OPERATIONAL EXCELLENCEFORBIGDATAAPPS

Confidential2
TRUSTED
by over 10,000
companies as their big
data app platform
BACKED
by top Silicon Valley
investors True Ventures,
Rembrandt VP, Bain
Capital
FOUNDED
in 2008, with
headquarters in San
Francisco

Confidential
WHY NOW?
3
As Big Data applications become the
engine driving innovation and new revenue
models, they graduate to 1st class citizens
demanding higher standards of quality,
reliability, and manageability

Confidential
PERFORMANCE MANAGEMENT FOR
BIG DATA APPLICATIONS
your big data
apps
MONITOR
to resolve
issues faster
big data apps
more effectively
MANAGECOLLABORATE

Confidential5
Heterogeneous Application Environments Cluster Performance Monitoring Application Performance Monitor
Production Hadoop Environments Contain a Variety of Application Technologies
CHALLENGES

Confidential6
Application Performance MonitorCluster Performance MonitoringHeterogeneous Application Environments
Cluster Monitoring Products Do Not Provide Application Insight
CHALLENGES

Confidential7
Cluster Performance Monitoring Application Performance MonitorHeterogeneous Application Environments
Existing Tools Offer Limited Value for Monitoring Application Performance
Leaving us blind to business context, priority, ownership and performance of our data applications
CHALLENGES

Confidential8
Enterprise Scale Monitoring and Management for Big Data Apps
Business&
OperationalContext
Data& TechnologyConnecting Business and Data
PERFORMANCEMONITORING&VISIBILITY

Confidential
ACHIEVINGOPERATIONALEXCELLENCE
9
Balancing a fully operational data processing cluster and customer demands is challenging.
Performance monitoring and visibility for big data applications
• See everything in one place with a single view of all data applications real-time
performance metrics across the entire enterprise
Instantly understand the business context of a problem
• Knowing you have a problem is one thing but understanding the end to end &
downstream dependencies, the quality and service guarantees, who is impacted, the
owner(s) and the business criticality of the failure is game changing
Easily collaborate across teams to resolve issues faster
• Multi-tenant architectures are inherently chaotic. Accelerate issue resolution by delivering
the right information to the appropriate individuals and teams so everyone is informed and
can work together to resolution
Manage the business of big data
• Get the operational visibility and controls you need to effectively manage priorities,
policies, capacity, compliance and utilization.
1
3
2
4

Confidential
ACHIEVINGOPERATIONALEXCELLENCE
10
2
1
3
4
Performance monitoring and visibility for big data apps
• A single integrated view of your data applications and real-time performance metrics
across your entire environment
Instantly understand the business context of a problem
• Knowing you have a problem is one thing but understanding the end to end &
downstream dependencies, the quality and service guarantees, who is impacted, the
owner(s) and the business criticality of the failure is game changing
Easily collaborate across teams to resolve issues faster
• Multi-tenant architectures are inherently chaotic. Accelerate issue resolution by delivering
the right information to the appropriate individuals and teams so everyone is informed and
can work together to resolution
Manage the business of big data
• Get the operational visibility and controls you need to effectively manage priorities,
policies, capacity, compliance and utilization.
Balancing a fully operational data processing cluster and customer demands is challenging.

Confidential
ACHIEVINGOPERATIONALEXCELLENCE
11
3
1
2
4
Performance monitoring and visibility for big data apps
• A single integrated view of your data applications and real-time performance metrics
across your entire environment
Instantly understand the business context of a problem
• Knowing you have a problem is one thing but understanding the end to end &
downstream dependencies, the quality and service guarantees, who is impacted, the
owner(s) and the business criticality of the failure is game changing
Easily collaborate across teams to resolve issues faster
• Multi-tenant architectures are inherently chaotic. Accelerate issue resolution by delivering
the right information to the appropriate individuals and teams so everyone is informed and
can work together to resolution
Manage the business of big data
• Get the operational visibility and controls you need to effectively manage priorities,
policies, capacity, compliance and utilization.
Balancing a fully operational data processing cluster and customer demands is challenging.

Confidential
ACHIEVINGOPERATIONALEXCELLENCE
12
4
3
2
1
Performance monitoring and visibility for big data apps
• A single integrated view of your data applications and real-time performance metrics
across your entire environment
Instantly understand the business context of a problem
• Knowing you have a problem is one thing but understanding the end to end &
downstream dependencies, the quality and service guarantees, who is impacted, the
owner(s) and the business criticality of the failure is game changing
Easily collaborate across teams to resolve issues faster
• Multi-tenant architectures are inherently chaotic. Accelerate issue resolution by delivering
the right information to the appropriate individuals and teams so everyone is informed and
can work together to resolution
Manage the business of big data
• Get the operational visibility and controls you need to effectively manage priorities,
policies, capacity, compliance and utilization.
Balancing a fully operational data processing cluster and customer demands is challenging.

Confidential
NURTUREA CULTUREOFOPERATIONALEXCELLENCE
13
Ensure that business, development, IT operations can collaborate seamlessly when it matters

Confidential
Go to our website: www.driven.io
TO LEARN MORE

Confidential
End-to-end operational telemetry metadata for big data applications
Accessible via Web browser, command-line interface (CLI), or simple search queries
Easy integrations through JMX and upcoming Driven SDK
SCALABLE,SEARCHABLE METADATA STORE
17
Telemetry metadata
(SSL)
YARN
HADOOP APPS AND INFRASTRUCTURE
APPLICATIONS
Plugin
HADOOP CLUSTERS
WARfiles
Web App
Server
Server
Web CLI JMX
Web App
Server
SCALE OUT
SCALE OUT

The document discusses the importance of data governance, data quality, and master data management for business success. It notes issues that can arise from a lack of data quality and master data management, such as bad decisions from incorrect data, duplicate customer records wasting money, invoices going to the wrong addresses, and regulatory penalties. It then outlines different approaches to data quality and its relationship to master data management. The document also provides an example of how master data elements relate to a single transaction and explains why managing these elements is important for meaningful data analysis. It promotes Oracle solutions for data relationship management, data governance, and data quality to help organizations properly manage hierarchical master data across systems.

MDM and Data Governance: Better Together

Profisee

Top 4 Priorities in Building Insurance Data Governance Programs That Work

Precisely

The document discusses building successful data governance programs that take a business-first approach. It recommends linking data governance to business goals, prioritizing critical data that drives key business metrics and outcomes, building engagement across operational, tactical, and strategic levels, and clearing a path for success by removing friction for stakeholders. Taking this approach can accelerate program roll-out by 18-40%, increase reinvestment likelihood by over 75%, and generate 2-7x greater ROI.

Optimize the Value of Your Mainframe

Precisely

Mainframe users are continuously challenged to keep pace with rising data volumes from distributed applications that depend on mainframe transaction processing power. The pressure to squeeze more performance and value out of existing mainframes, while avoiding or deferring major upgrades, never stops. There are ways to improve the efficiency of core workloads, like sorting, that help you uncover additional capacity, save money, and increase the ROI for mainframe expenditures. In addition, you can deliver more value to your business by integrating mainframe data into next-generation cloud and data platforms like Databricks, Snowflake, Splunk, ServiceNow, and more.

Four Must-Haves for Data Governance in Financial Services

Precisely

Traditional data governance initiatives fail by focusing too heavily on policies, compliance, and enforcement, which quickly lose business interest and support. This leaves CDOs and governance leaders having to continually make the case for data governance to secure business adoption. In this on-demand webinar, we will share the lean, business-first data governance approach that connects key financial services initiatives to governance capabilities and quickly delivers business value for the long-term.

Trillium software garp march 2014 presentation bfast briefing

Trillium Software

This document discusses the challenges financial firms face with increasing data and regulatory requirements. It notes the growing data volumes and need for better data quality to avoid regulatory issues. However, IT is often a bottleneck, unable to provide the flexibility and visibility needed. The document advocates establishing data governance with clear roles and standards, profiling data to define issues, and providing transparency through dashboards. It describes a case study where a bank implemented a self-service data assurance system using business rules to enable risk teams to validate data for monthly regulatory submissions independently of IT, with measurable process improvements. Overall it promotes business empowerment and access to data as critical for effective governance.

Data Center Transformation Program Planning and Design

Joseph Schwartz

The document summarizes Sunnyside Associates' data center transformation program planning and design service offering. It begins by outlining why data center transformation and cloud computing projects often fail, such as poor planning, lack of leadership support, and unrealistic timelines. It then describes Sunnyside's solution, which includes establishing a clear program vision based on the client's needs, using industry best practices, and taking a phased approach involving opportunity identification, performance benchmarking, due diligence, and governance planning. The document concludes by stating the criteria for program success, such as well-defined governance roles and accountability, and calls the reader to contact Sunnyside for more information.

Fueling Enterprise Data Governance with Data Quality

Precisely

This webinar discusses data governance and data quality. It notes that data governance helps data teams discover context, quality, and trustworthiness through metadata, while operational data quality allows reconciling data across sources to ensure high quality data flows. Data preparation and analytics enables analyzing quality data. Strategic services help align data teams to strategic goals. Recent survey findings on data governance and quality trends are also presented.

Data governance is a framework for managing corporate data through establishing strategy, objectives, and policy. It consists of processes, policies, organization, and technologies to ensure availability, usability, integrity, consistency, auditability, and security of data. Implementing data governance addresses the needs of different groups requiring different data definitions, ethical duties regarding privileged data, organizing data inventories, and staying compliant with rules and other databases. Data governance is important for increasing customer demands, adapting to technology and market changes, and addressing increasing data volumes and quality issues.

Measuring Data Quality Return on Investment

DATAVERSITY

Data Quality is an elusive subject that can defy measurement and yet be critical enough to derail any project, strategic initiative, or even a company. The data layer of an organization is a critical component because it is so easy to ignore the quality of that data or to make overly optimistic assumptions about its efficacy. Having Data Quality as a focus is a business philosophy that aligns strategy, business culture, company information, and technology in order to manage data to the benefit of the enterprise. It is a competitive strategy.

Implementing Agile Data Governance

Tami Flowers

Selling MDM to Leadership: Beyond the 1st Use-Case

Profisee

You Need a Data Catalog. Do You Know Why?

Precisely

The data catalog has become a popular discussion topic within data management and data governance circles. A data catalog is a central repository that contains metadata for describing data sets, how they are defined, and where to find them. TDWI research indicates that implementing a data catalog is a top priority among organizations we survey. The data catalog can also play an important part in the governance process. It provides features that help ensure data quality, compliance, and that trusted data is used for analysis. Without an in-depth knowledge of data and associated metadata, organizations cannot truly safeguard and govern their data. Join this on-demand webinar to learn more about the data catalog and its role in data governance efforts. Topics include: · Data management challenges and priorities · The modern data catalog – what it is and why it is important · The role of the modern data catalog in your data quality and governance programs · The kinds of information that should be in your data catalog and why

Actionable Data Solutions Slide Show

esolarsh

Actionable Data Solutions (ADS) provides customizable analytics solutions to enhance business performance for over 25,000 customers. Their proprietary ADS and ADE platforms deliver targeted, accountable data events and insights to identify inefficiencies, measure KPIs, and prioritize opportunities. ADS focuses on enterprise value through easy-to-use, hosted solutions that require no customization fees or IT resources. Their analytics help businesses increase sales, identify fraud, and ensure compliance.

Cloud Computing and Data Governance

Trillium Software

1) The document discusses cloud computing and its implications for data governance. Cloud computing refers to delivering computing as an internet-based service rather than a product. It allows for virtual allocation of resources and pay-per-use models. 2) Moving to the cloud presents both opportunities and challenges for data governance. It could improve governance through fewer devices holding data but requires enhanced focus on governance within and outside the organization. Organizations may lose physical control of their data. 3) Adapting to the cloud will change data governance roles and skills. Governance professionals should get involved in cloud strategies, ensure data challenges are addressed, and plan for new issues around security, compliance, and partner governance. The cloud computing landscape

Maximize ROI of Insurance Digital Transformation Initiatives with Proven Data...

Precisely

Many insurance carriers are transforming the way they do business by deploying new software technologies, migrating data and services to the cloud, and leveraging artificial intelligence (AI) to speed decision-making. Data is at the heart of all these initiatives, and it has a direct impact on success or failure. When that data is integrated into upstream or downstream processes, it can also have a broader impact on the operational, analytical, and compliance needs of the organization. The traditional, and often ad-hoc, tools and processes that organizations employ to support data quality, data integrity, transaction reconciliation, and exception management are often inadequate. They do not provide the speed, technical agility, and intelligence demanded by digital transformation initiatives. Join us to explore proven methods of how insurance carriers are maximizing ROI and minimizing the time-to-value of digital transformation initiatives by: • Aligning data governance with organizational and project objectives to reduce implementation effort and duration • Leveraging automated controls for data quality, including balance and reconciliation of data in motion to avoid operational disruptions and maintain regulatory compliance • Increasing efficiency and capability through centralized data integrity solution

Kickstart a Data Quality Strategy to Build Trust in Data

Precisely

Your Data Sucks! How to Build Trust in Data for Better Decisions

Precisely

Trusted decisions are powered by trusted data. If your business embraces a data-driven culture, then every decision you make, and every answer offered by machine learning and analytics is guided by data. Your success or failure will be determined by having data you can trust. View this on-demand webinar to explore the steps you can take to support better, faster decisions. During this webinar, our expert panel discusses key topics such as: • Why accuracy, consistency, and context are essential elements of data integrity • Best practices in breaking down data silos and ensuring data quality • How to visualize trends, relationships, and patterns in your data • How location intelligence and enrichment can make data more valuable and complete

10 Key Considerations for a Successful DCIM Project

Sunbird DCIM

The document provides 10 key considerations for a successful data center infrastructure management (DCIM) project: 1. Be clear on the business problems you want to solve and prioritize them. 2. Understand current processes and desired outcomes. Partner with other functions to gain alignment. 3. Don't get caught up comparing features; focus on addressing key problems. Partner with a trusted, experienced vendor. 4. Start small and expand over time to increase chances of success. Ensure people are trained and monitor system usage.

Data Governance and Data Quality Trends to Inspire Action

Precisely

This document summarizes the key findings of a survey of over 800 data and analytics professionals regarding trends in data governance and data quality. The survey found that improving data quality was the top goal for organizations' data programs and the leading benefit of data governance programs. However, 39% of organizations do not measure data quality enterprise-wide. The survey also found that more mature data governance programs tend to invest more in training and see higher added value from their programs in terms of data quality and other benefits. Common obstacles for effective data governance included cost, lack of understanding of the right approach, and lack of tools and organizational support.

Mdm: why, when, how

Jean-Michel Franco

1) MDM is the process of creating a single point of reference for highly shared types of data like customers, products, and suppliers. It links multiple data sources to ensure consistent policies for accessing, updating, and routing exceptions for master data. 2) Successful MDM requires defining business needs, setting up governance roles, designing flexible platforms, and engaging lines of business in incremental programs. Common challenges include lack of clear business cases and roadmaps. 3) Key aspects of MDM include modeling shared data, managing data quality, enabling stewardship of data, and integrating/propagating master data to operational systems in real-time or batch processes.

Data Quality Management

Melissa Data India

About Micro

Jay Pederson

Micro Strategies is a privately owned technology solutions and consulting firm established in 1983 with locations in New Jersey and Pennsylvania. They leverage their business process and IT expertise to deliver innovative technology solutions across a range of industries. Their solutions include infrastructure, cloud, big data and analytics, security and mobility, enterprise content management, and managed support services. They have strategic partnerships with IBM, Microsoft, and other technology leaders.

The what, why, and how of master data management

Mohammad Yousri

Data Governance and Stewardship Roundtable

Summa

This document provides an agenda for a Salesforce data governance and stewardship roundtable workshop. The workshop will include discussions on how to get started with a data stewardship program, how to navigate challenges in an ongoing program, and how to measure success and plan for the future. Key topics that will be covered include establishing governance policies and standards, defining roles for stewardship, addressing data quality issues, using tools for data cleansing and deduplication, and ensuring legal and regulatory compliance. Participants will have opportunities to discuss challenges their organizations face and strategies for defining problems, analyzing causes, measuring results, and gaining ongoing support for data initiatives.

Designing High Quality Data Driven Solutions 110520

MariaHalstead1

This presentation covers principles for designing high quality data-driven solutions. It discusses typical data usage in organizations by day-to-day users, managers, and executives. The presentation also addresses common pitfalls of poor data design, benefits of good design, and the importance of requirements gathering, simplicity, clarity, and quality controls. Additionally, it provides examples of data governance, predictive analytics using machine learning, real-world AI applications, example data visualization charts, common data tools, and resources for further learning.

Data Virtualization for Business Consumption (Australia)

Denodo

This document discusses data virtualization and its benefits for business users. It summarizes that data virtualization can create a connected data landscape that is easily shared, empower business users with self-service BI tools, develop trusted high quality data, and support flexibility. It notes data virtualization provides a logical data layer that improves decision making, broadens data usage, and offers performant access to integrated data without moving or replicating source systems.

The Path to Data and Analytics Modernization

Analytics8

Learn about the business demands driving modernization, the benefits of doing so, and how to get started. Can your data and analytics solutions handle today’s challenges? To stay competitive in today’s market, companies must be able to use their data to make better decisions. However, we are living in a world flooded by data, new technologies, and demands from the business for better and more advanced analytics. Most companies do not have the modern technologies and processes in place to keep up with these growing demands. They need to modernize how they collect, analyze, use, and share their data. In this webinar, we discuss how you can build modern data and analytics solutions that are future ready, scalable, real-time, high speed, and agile and that can enable better use of data throughout your company. We cover: -The business demands and industry shifts that are impacting the need to modernize -The benefits of data and analytics modernization -How to approach data and analytics modernization- steps you need to take and how to get it right -The pillars of modern data management -Tips for migrating from legacy analytics tools to modern, next-gen platforms -Lessons learned from companies that have gone through the modernization process

New doc 4

Flenny Wong

New doc 4

Flenny Wong

This document outlines the terms and conditions for a rental agreement between John Doe and Jane Smith for the property located at 123 Main St. It specifies the monthly rental rate of $1,000 due on the 1st of each month, the security deposit of $500, and responsibilities of landlord and tenant for repairs and maintenance. The initial lease term is one year beginning January 1st, 2023 and will automatically renew for successive one-year periods unless otherwise terminated.

What's hot

Data governance

MD Redaan

Measuring Data Quality Return on Investment

DATAVERSITY

Implementing Agile Data Governance

Tami Flowers

Selling MDM to Leadership: Beyond the 1st Use-Case

Profisee

You Need a Data Catalog. Do You Know Why?

Precisely

Actionable Data Solutions Slide Show

esolarsh

Cloud Computing and Data Governance

Trillium Software

Maximize ROI of Insurance Digital Transformation Initiatives with Proven Data...

Precisely

Kickstart a Data Quality Strategy to Build Trust in Data

Precisely

Your Data Sucks! How to Build Trust in Data for Better Decisions

Precisely

10 Key Considerations for a Successful DCIM Project

Sunbird DCIM

Data Governance and Data Quality Trends to Inspire Action

Precisely

Mdm: why, when, how

Jean-Michel Franco

Data Quality Management

Melissa Data India

About Micro

Jay Pederson

The what, why, and how of master data management

Mohammad Yousri

Data Governance and Stewardship Roundtable

Summa

Designing High Quality Data Driven Solutions 110520

MariaHalstead1

Data Virtualization for Business Consumption (Australia)

Denodo

The Path to Data and Analytics Modernization

Analytics8

What's hot (20)

Data governance

Measuring Data Quality Return on Investment

Implementing Agile Data Governance

Selling MDM to Leadership: Beyond the 1st Use-Case

You Need a Data Catalog. Do You Know Why?

Actionable Data Solutions Slide Show

Cloud Computing and Data Governance

Maximize ROI of Insurance Digital Transformation Initiatives with Proven Data...

Kickstart a Data Quality Strategy to Build Trust in Data

Your Data Sucks! How to Build Trust in Data for Better Decisions

10 Key Considerations for a Successful DCIM Project

Data Governance and Data Quality Trends to Inspire Action

Mdm: why, when, how

Data Quality Management

About Micro

The what, why, and how of master data management

Data Governance and Stewardship Roundtable

Designing High Quality Data Driven Solutions 110520

Data Virtualization for Business Consumption (Australia)

The Path to Data and Analytics Modernization

Viewers also liked

New doc 4

Flenny Wong

New doc 4

Flenny Wong

Drupal camp campinas 2016 superando o gitflow (luiz henrique guerra)

Luiz Henrique Guerra

Enbe final booklet

Flenny Wong

The document provides information about ancient, current, and futuristic cities. It discusses Xi'an as an example of an ancient city in China, highlighting attractions like the Terracotta Army and city walls. Shanghai is presented as an example of a current city, noting its status as China's largest commercial center. Tokyo is featured as a futuristic city, citing aspects like its advanced railway system and towering skyline, including the Tokyo Skytree, that contribute to its futuristic character.

5 Best Practices to Achieve Operational Excellence with Hive and MapReduce

Driven Inc.

Performance monitoring of Hive applications especially in an Hadoop shared services environment is hard using cluster monitoring solutions. Simply put you need a different level of visibility. In this 30-min deep drive demo of Driven, see how you can instantly understand who is doing what, what queries are consuming what resources, and what queries/job are not following design policies. See how Driven can enable you to deliver consistent, reliable performance across your enterprise.

english essay

Flenny Wong

The document discusses the effects of restricting university education access. It argues that restricting access can limit people's potential, decrease skilled professionals, and lower employment chances. It also asserts that allowing more people to attend university could inspire some to achieve things that change themselves or others, even if they don't complete a degree. The document claims that only the wealthy could afford an education under such restrictions, and such a system would not motivate people or develop their abilities equally. It concludes that no one should be prevented from trying to learn and that limitations restrict people's potential.

Drawing final project studio unit living_july 2015 (1)

Flenny Wong

This document outlines the final project assignment for an Introduction to Drawing course. Students will produce orthographic drawings of a basic studio unit layout including furniture arrangements. They must submit preliminary progress drawings as well as final presentation drawings showing the layout plan, elevations, sections, and details at a 1:50 scale using proper drawing conventions and tools. The final submission will be an A4 proposal report including all drawings and assessment will be based on demonstrated understanding of drawing conventions, clarity and quality of drawings, and creativity in graphic communication.

Anthony wettstaedt

AntGmoney

Edawd

Flenny Wong

This document outlines the process and responsibilities of an interior designer. It discusses the key stages of an interior design project: design development, working drawings, tender, construction, and completion. At each stage, the interior designer is responsible for creating drawings, consulting with clients and contractors, and overseeing the project. Their goal is to transform an interior space based on the client's needs within budget and safety guidelines.

5 Best Practices to Achieve Operational Excellence with Big Data Apps

Driven Inc.

Imagine if you could stop stringing together Hadoop Jobtracker, log files, and half a dozen other tools to try to understand what is happening with your big data applications. While these solutions tell you there is a problem - your app is slow or has failed - they will not tell you why it's happening, what team is involved and how critical it is to the business. This presentation walks you through Driven, the first application performance management solution for Hadoop applications

Oral presentation-august2015

Flenny Wong

This document provides instructions for a group oral presentation assignment. Students will work in groups of 5-6 to investigate types of drawings used in different professions like architecture, engineering, and planning. Each group will create a presentation slide covering the uses and functions of technical drawings. Students will then individually present on their findings in a 3-minute speech while applying effective verbal and nonverbal communication skills. Presentations will take place in class and be video recorded for submission. Groups must compile their presentation materials, video, and references into a CD to submit for assessment based on understanding of the brief, organization, use of references, and language.

Downtown kuching-1

Flenny Wong

The document proposes redeveloping downtown Kuching, Malaysia according to garden city concepts. The objectives are to create a livable, sustainable city connected to nature with public transportation access and green spaces. The redevelopment plan includes low-rise and high-rise buildings separated by greenbelts and parks. It aims to attract residents and tourists while celebrating Kuching's cultural heritage through landmarks like the proposed Radiant Tower and preserving historical sites.

Presentation2 iico

Flenny Wong

This document provides an overview of a student project to propose developments on an empty plot of land. It includes an introduction to the project objectives, a site analysis of the plot which is located near an university, and proposals for a residential development called Saint James Condominium and a commercial sports center called Xsport Sports Centre to meet student needs. Key stakeholders in the construction process are also outlined.

Drawing project 1 july 2015_integration (1)

Flenny Wong

This document outlines a group project for an introductory drawing course. Students will be assigned to groups and given a construction-related profession to research. Each group must: 1) Research and present on the types and functions of drawings used in their assigned profession. 2) Research and present on the scope of work and responsibilities at different construction stages for their profession. 3) Have each group member present for 3 minutes on their findings. Presentations will be evaluated based on demonstrated understanding, content, and clarity. Groups must compile their presentation, video, and references (optional) onto a CD to submit for grading. The project integrates three courses and aims to introduce students to communication tools in the

Itd orthographic drawings

Flenny Wong

Product life cycle

kanika garg

The document discusses the product life cycle which includes four stages: introduction, growth, maturity, and decline. Each stage poses different challenges and opportunities for sellers. Profits typically rise during growth as sales increase rapidly, peak during maturity as sales maximize, and decline during maturity and decline as sales decrease. Different marketing, financial, manufacturing, and HR strategies are needed for each stage depending on factors like sales, costs, profits, competitors, and customers.

Project 2

Flenny Wong

1. The document outlines the requirements for a group project to analyze an existing park site in Malaysia and propose design solutions to improve the site. 2. Students must conduct in-person site observations and inventory key site features, including context, uses, circulation, vegetation, and materials. 3. Based on the research, students must create a single synthesis diagram conceptually showing design ideas to improve the existing site conditions. 4. The project will be presented in groups and evaluated based on understanding of the brief, depth of research, graphic communication skills, and collaboration.

5 Best Practices for Monitoring Hive and MapReduce Application Performance

Driven Inc.

Viewers also liked (18)

New doc 4

Drupal camp campinas 2016 superando o gitflow (luiz henrique guerra)

Enbe final booklet

5 Best Practices to Achieve Operational Excellence with Hive and MapReduce

english essay

Drawing final project studio unit living_july 2015 (1)

Anthony wettstaedt

Edawd

5 Best Practices to Achieve Operational Excellence with Big Data Apps

Oral presentation-august2015

Downtown kuching-1

Presentation2 iico

Drawing project 1 july 2015_integration (1)

Itd orthographic drawings

Product life cycle

Project 2

5 Best Practices for Monitoring Hive and MapReduce Application Performance

Similar to 4 Best Practices to Achieve Operational Excellence Across Multiple Big Data Technologies

Don't Leave Data Behind: Integration Strategies for On-premise and Cloud Solu...

Perficient, Inc.

As the SaaS application market matures, IT organizations are adopting a cloud integration strategy around hybrid environments that focuses on combining cloud and on-premise solutions to house data, augment internal capacity and increase business agility. Join Perficient and Informatica for a webinar focusing on key issues and opportunities surrounding hybrid IT models, including: Managing a data environment that is both in the cloud and on-premise Keeping information in sync and current to influence better business decisions Examples of successful, company-adopted hybrid architecture models for maximum ROI and agility Use case examples with Salesforce.com and RedShift (Amazon web services) Demonstration of Informatica Cloud Integration

Sgcp14dunlea

Justin Hayward

The document discusses how utilities are increasingly collecting and generating large amounts of data from smart meters and other sensors. It notes that utilities must learn to leverage this "big data" by acquiring, organizing, and analyzing different types of structured and unstructured data from various sources in order to make more informed operational and business decisions. Effective use of big data can help utilities optimize operations, improve customer experience, and increase business performance. However, most utilities currently underutilize data analytics capabilities and face challenges in integrating diverse data sources and systems. The document advocates for a well-designed data management platform that can consolidate utility data to facilitate deeper analysis and more valuable insights.

Webinar - 8 ways to align IT to your business

ManageEngine

In this webinar, you will discover the importance of IT being aligned to business goals. You will also find ways to achieve this alignment through big data, cloud, BYOD, social etc. The webinar also looks at 3 case studies of organisations with effective IT management. The speaker is Claire Brereton, IT Strategy Consultant and Director, itSMF Australia. Read more from http://goo.gl/GBDLGM. Watch a recording of the webinar at http://bit.ly/1HoZ5kP

Big Data LDN 2017: Data Governance Reimagined

Matt Stubbs

The Need for Unified Performance Management

Riverbed Technology

Yesterday’s siloed approach to performance monitoring is failing the needs of today’s hybridized and software-defined environments, necessitating a new, unified and blended view of performance domains. In order to effectively address these specific challenges, you need a holistic approach to performance management that converges network, application, infrastructure and end-user experience monitoring into a single interface and also integrates at the domain level. Riverbed SteelCentral provides that platform. http://rvbd.ly/1PnDaxT

InfoTrellis Consulting & Professional Services Overview

Michael Harris

This document provides an overview of InfoTrellis Services. It discusses InfoTrellis' history and success timeline since 1999, services portfolio including Master Data Management, Data Integration, Big Data, and Data Quality services. It describes InfoTrellis' SMART MDM delivery methodology, roles and responsibilities, and leadership team. It also outlines various service accelerators including testing and validation tools to help clients realize benefits from their programs faster.

Overcoming the Challenges of your Master Data Management Journey

Jean-Michel Franco

TekMindz Master Data Management Capabilities

Akshay Pandita

This document provides an overview of Master Data Management (MDM) offerings and benefits from TekMindz. MDM is an approach that centralizes master information such as customers, products, and suppliers to ensure consistent, up-to-date data across business systems. MDM addresses issues like data governance, quality and consistency. TekMindz' MDM capabilities include collaborative authoring, data quality management, event management, and integration with data quality tools. MDM implementations require data governance to construct trusted views of master data needed by business processes. TekMindz offers MDM solutions across four editions to meet different customer needs.

Case Study on Database Optimization - database monitoring and performance pro...

The Digital Group

The Digital Group’s database performance experts reviewed the existing databases to capture a baseline from which to measure stability and performance gains, as well as to create an optimization plan that identified top level issues. The engineering team then executed an iterative process of performance tuning, indexing, and script optimization while tracking measured results at the end of each milestone.

Are you ready for Big Data 2.0? EMA Analyst Research

Enterprise Management Associates

The document discusses new opportunities arising from Big Data 2.0. It provides biographies of the two presenters, Shawn Rogers and John Santaferraro, and outlines the agenda and logistics for the webinar. The presentation then covers the shift towards more sophisticated Big Data use, the emergence of hybrid data ecosystems combining traditional and modern data sources, and the technical drivers and common use cases behind Big Data projects.

20160406 orchestra-networks-presentation-cb

Carlos Guerreiro

Orchestra Networks provides a data management platform called EBX5 that allows companies to manage, govern, and share important data assets across business teams and applications. EBX5 offers a single solution for modeling and configuring data management applications with tools for business users, data stewards, developers and analysts. It stores and shares data with operational and analytical systems using unique technologies like a semantic data store and model-driven architecture.

Building Rules for Data Governance

Precisely

Data governance and data quality are often described as two sides of the same coin. Data governance provides a data framework relevant to business needs, and data quality provides visibility into the health of the data. If you only have a data governance tool, you’re missing half the picture. Trillium Discovery seamlessly integrates with Collibra for a complete, closed-loop data governance solution. Build your data quality rules in Collibra, and they are automatically passed to Trillium for data quality processing. The data quality results and metrics are then passed back to Collibra – allowing data stewards and business users to see the health of the data right within their Collibra dashboard. View this webinar on-demand to see how you can leverage this integration in your organization to readily build, apply, and execute business rules based on data governance policies within Collibra.

The Analytic Trifecta: Abstraction, the Cloud, and Visualization

Birst

Twenty-first century pharma and biotech organizations are rapidly transforming into data-driven companies. This transformation is critical, future success and discoveries hinge on the ability to quickly and intuitively leverage, analyze, and take action on its data. In this webinar Lindy Ryan, Research Director at Radiant Advisors, will share her research on how companies successfully manage this transformation by embracing a data unification strategy that’s built on cloud technologies. Join us and learn how life sciences companies use cloud technology to: Create a flexible infrastructure with the ability to agilely and quickly unify multiple data sources TProvide a framework that enables business user agile data access while addressing governance and compliance challenges Balance the need for data democratization while maintaining proper IT oversight and stewardship

Sabre: Mastering a strong foundation for operational excellence and enhanced ...

Orchestra Networks

1. Sabre implemented a master data management program to establish a single authoritative source of trusted master reference data across the enterprise. This would improve data quality, consistency, and access for analytics. 2. The program addressed issues like a lack of data governance and standards by defining roles and processes for data stewardship, developing master data standards, and implementing tools for data management. 3. Having consistent master data available across contexts improves analytics by ensuring accurate business metrics and reports, eliminating data synchronization issues, and allowing data scientists easy access to trusted data.

3dPerfTunWhitePaperFINAL

Joe Holland

The document discusses Performance Tuning Corporation's approach to database performance management. It begins by noting the importance of data and performance to businesses. It then outlines PTC's holistic lifecycle approach to performance management, which includes architecture planning, implementation, ongoing performance monitoring, and incident response. The approach aims to proactively optimize performance and minimize costs. Key aspects of the lifecycle model are then described in more detail.

Tangenz big data

emmajones88

Corporate Overview - Information Management Consultancy

Michelle Pellettier

First San Francisco Partners provides data governance and data management consulting services to help companies improve decision-making, operational efficiency, and business growth. They employ agile approaches to deliver faster results and reduce costs. Their services include data governance strategy, assessments, workshops, and master data management implementations. They help organizations of all sizes address data management challenges.

Protection Storage Architecture Infographic

Eric Doan

This document discusses how organizations can transform data protection from a cost center to a business enabler. Traditional backup architectures are unable to meet today's challenges around data growth and application performance. The document promotes adopting a Protection Storage Architecture which brings together protection storage, data source integration, and data management services to reduce costs, boost application performance, and enable new business models. Implementing a Protection Storage Architecture allows organizations to build the right foundation for initiatives like big data, cloud computing, and mobility.

Tango/04 123 Brochure

Laurie LeBlanc

Data Governance: Description, Design, Delivery

InnoTech

The document discusses data governance and provides an overview of key concepts including: - Governance establishes standards and policies for processes and data through a governing committee. - Metadata is important for data management and describes business, operational, technical, and process attributes. - Data profiling examines data quality and validates adherence to business rules. - A hybrid architecture with a persistent staging area, enterprise data warehouse, data marts and OLAP cubes supports governance goals.

Similar to 4 Best Practices to Achieve Operational Excellence Across Multiple Big Data Technologies (20)

Don't Leave Data Behind: Integration Strategies for On-premise and Cloud Solu...

Sgcp14dunlea

Webinar - 8 ways to align IT to your business

Big Data LDN 2017: Data Governance Reimagined

The Need for Unified Performance Management

InfoTrellis Consulting & Professional Services Overview

Overcoming the Challenges of your Master Data Management Journey

TekMindz Master Data Management Capabilities

Case Study on Database Optimization - database monitoring and performance pro...

Are you ready for Big Data 2.0? EMA Analyst Research

20160406 orchestra-networks-presentation-cb

Building Rules for Data Governance

The Analytic Trifecta: Abstraction, the Cloud, and Visualization

Sabre: Mastering a strong foundation for operational excellence and enhanced ...

3dPerfTunWhitePaperFINAL

Tangenz big data

Corporate Overview - Information Management Consultancy

Protection Storage Architecture Infographic

Tango/04 123 Brochure

Data Governance: Description, Design, Delivery

Recently uploaded

Presentation of the OECD Artificial Intelligence Review of Germany

innovationoecd

AWS Cloud Cost Optimization Presentation.pptx

HarisZaheer8

This presentation provides valuable insights into effective cost-saving techniques on AWS. Learn how to optimize your AWS resources by rightsizing, increasing elasticity, picking the right storage class, and choosing the best pricing model. Additionally, discover essential governance mechanisms to ensure continuous cost efficiency. Whether you are new to AWS or an experienced user, this presentation provides clear and practical tips to help you reduce your cloud costs and get the most out of your budget.

Deep Dive: AI-Powered Marketing to Get More Leads and Customers with HyperGro...

saastr

GraphRAG for Life Science to increase LLM accuracy

Tomaz Bratanic

Programming Foundation Models with DSPy - Meetup Slides

Zilliz

Dandelion Hashtable: beyond billion requests per second on a commodity server

Antonios Katsarakis

This slide deck presents DLHT, a concurrent in-memory hashtable. Despite efforts to optimize hashtables, that go as far as sacrificing core functionality, state-of-the-art designs still incur multiple memory accesses per request and block request processing in three cases. First, most hashtables block while waiting for data to be retrieved from memory. Second, open-addressing designs, which represent the current state-of-the-art, either cannot free index slots on deletes or must block all requests to do so. Third, index resizes block every request until all objects are copied to the new index. Defying folklore wisdom, DLHT forgoes open-addressing and adopts a fully-featured and memory-aware closed-addressing design based on bounded cache-line-chaining. This design offers lock-free index operations and deletes that free slots instantly, (2) completes most requests with a single memory access, (3) utilizes software prefetching to hide memory latencies, and (4) employs a novel non-blocking and parallel resizing. In a commodity server and a memory-resident workload, DLHT surpasses 1.6B requests per second and provides 3.5x (12x) the throughput of the state-of-the-art closed-addressing (open-addressing) resizable hashtable on Gets (Deletes).

5th LF Energy Power Grid Model Meet-up Slides

DanBrown980551

5th Power Grid Model Meet-up It is with great pleasure that we extend to you an invitation to the 5th Power Grid Model Meet-up, scheduled for 6th June 2024. This event will adopt a hybrid format, allowing participants to join us either through an online Mircosoft Teams session or in person at TU/e located at Den Dolech 2, Eindhoven, Netherlands. The meet-up will be hosted by Eindhoven University of Technology (TU/e), a research university specializing in engineering science & technology. Power Grid Model The global energy transition is placing new and unprecedented demands on Distribution System Operators (DSOs). Alongside upgrades to grid capacity, processes such as digitization, capacity optimization, and congestion management are becoming vital for delivering reliable services. Power Grid Model is an open source project from Linux Foundation Energy and provides a calculation engine that is increasingly essential for DSOs. It offers a standards-based foundation enabling real-time power systems analysis, simulations of electrical power grids, and sophisticated what-if analysis. In addition, it enables in-depth studies and analysis of the electrical power grid’s behavior and performance. This comprehensive model incorporates essential factors such as power generation capacity, electrical losses, voltage levels, power flows, and system stability. Power Grid Model is currently being applied in a wide variety of use cases, including grid planning, expansion, reliability, and congestion studies. It can also help in analyzing the impact of renewable energy integration, assessing the effects of disturbances or faults, and developing strategies for grid control and optimization. What to expect For the upcoming meetup we are organizing, we have an exciting lineup of activities planned: -Insightful presentations covering two practical applications of the Power Grid Model. -An update on the latest advancements in Power Grid -Model technology during the first and second quarters of 2024. -An interactive brainstorming session to discuss and propose new feature requests. -An opportunity to connect with fellow Power Grid Model enthusiasts and users.

Public CyberSecurity Awareness Presentation 2024.pptx

marufrahmanstratejm

A Comprehensive Guide to DeFi Development Services in 2024

Intelisync

DeFi represents a paradigm shift in the financial industry. Instead of relying on traditional, centralized institutions like banks, DeFi leverages blockchain technology to create a decentralized network of financial services. This means that financial transactions can occur directly between parties, without intermediaries, using smart contracts on platforms like Ethereum. In 2024, we are witnessing an explosion of new DeFi projects and protocols, each pushing the boundaries of what’s possible in finance. In summary, DeFi in 2024 is not just a trend; it’s a revolution that democratizes finance, enhances security and transparency, and fosters continuous innovation. As we proceed through this presentation, we'll explore the various components and services of DeFi in detail, shedding light on how they are transforming the financial landscape. At Intelisync, we specialize in providing comprehensive DeFi development services tailored to meet the unique needs of our clients. From smart contract development to dApp creation and security audits, we ensure that your DeFi project is built with innovation, security, and scalability in mind. Trust Intelisync to guide you through the intricate landscape of decentralized finance and unlock the full potential of blockchain technology. Ready to take your DeFi project to the next level? Partner with Intelisync for expert DeFi development services today!

leewayhertz.com-AI in predictive maintenance Use cases technologies benefits ...

alexjohnson7307

SAP S/4 HANA sourcing and procurement to Public cloud

maazsz111

How to Interpret Trends in the Kalyan Rajdhani Mix Chart.pdf

Chart Kalyan

Building Production Ready Search Pipelines with Spark and Milvus

Zilliz

Skybuffer SAM4U tool for SAP license adoption

Tatiana Kojar

Manage and optimize your license adoption and consumption with SAM4U, an SAP free customer software asset management tool. SAM4U, an SAP complimentary software asset management tool for customers, delivers a detailed and well-structured overview of license inventory and usage with a user-friendly interface. We offer a hosted, cost-effective, and performance-optimized SAM4U setup in the Skybuffer Cloud environment. You retain ownership of the system and data, while we manage the ABAP 7.58 infrastructure, ensuring fixed Total Cost of Ownership (TCO) and exceptional services through the SAP Fiori interface.

zkStudyClub - LatticeFold: A Lattice-based Folding Scheme and its Application...

Alex Pruden

Folding is a recent technique for building efficient recursive SNARKs. Several elegant folding protocols have been proposed, such as Nova, Supernova, Hypernova, Protostar, and others. However, all of them rely on an additively homomorphic commitment scheme based on discrete log, and are therefore not post-quantum secure. In this work we present LatticeFold, the first lattice-based folding protocol based on the Module SIS problem. This folding protocol naturally leads to an efficient recursive lattice-based SNARK and an efficient PCD scheme. LatticeFold supports folding low-degree relations, such as R1CS, as well as high-degree relations, such as CCS. The key challenge is to construct a secure folding protocol that works with the Ajtai commitment scheme. The difficulty, is ensuring that extracted witnesses are low norm through many rounds of folding. We present a novel technique using the sumcheck protocol to ensure that extracted witnesses are always low norm no matter how many rounds of folding are used. Our evaluation of the final proof system suggests that it is as performant as Hypernova, while providing post-quantum security. Paper Link: https://eprint.iacr.org/2024/257

HCL Notes und Domino Lizenzkostenreduzierung in der Welt von DLAU

panagenda

Webinar Recording: https://www.panagenda.com/webinars/hcl-notes-und-domino-lizenzkostenreduzierung-in-der-welt-von-dlau/ DLAU und die Lizenzen nach dem CCB- und CCX-Modell sind für viele in der HCL-Community seit letztem Jahr ein heißes Thema. Als Notes- oder Domino-Kunde haben Sie vielleicht mit unerwartet hohen Benutzerzahlen und Lizenzgebühren zu kämpfen. Sie fragen sich vielleicht, wie diese neue Art der Lizenzierung funktioniert und welchen Nutzen sie Ihnen bringt. Vor allem wollen Sie sicherlich Ihr Budget einhalten und Kosten sparen, wo immer möglich. Das verstehen wir und wir möchten Ihnen dabei helfen! Wir erklären Ihnen, wie Sie häufige Konfigurationsprobleme lösen können, die dazu führen können, dass mehr Benutzer gezählt werden als nötig, und wie Sie überflüssige oder ungenutzte Konten identifizieren und entfernen können, um Geld zu sparen. Es gibt auch einige Ansätze, die zu unnötigen Ausgaben führen können, z. B. wenn ein Personendokument anstelle eines Mail-Ins für geteilte Mailboxen verwendet wird. Wir zeigen Ihnen solche Fälle und deren Lösungen. Und natürlich erklären wir Ihnen das neue Lizenzmodell. Nehmen Sie an diesem Webinar teil, bei dem HCL-Ambassador Marc Thomas und Gastredner Franz Walder Ihnen diese neue Welt näherbringen. Es vermittelt Ihnen die Tools und das Know-how, um den Überblick zu bewahren. Sie werden in der Lage sein, Ihre Kosten durch eine optimierte Domino-Konfiguration zu reduzieren und auch in Zukunft gering zu halten. Diese Themen werden behandelt - Reduzierung der Lizenzkosten durch Auffinden und Beheben von Fehlkonfigurationen und überflüssigen Konten - Wie funktionieren CCB- und CCX-Lizenzen wirklich? - Verstehen des DLAU-Tools und wie man es am besten nutzt - Tipps für häufige Problembereiche, wie z. B. Team-Postfächer, Funktions-/Testbenutzer usw. - Praxisbeispiele und Best Practices zum sofortigen Umsetzen

Nordic Marketo Engage User Group_June 13_ 2024.pptx

MichaelKnudsen27

JavaLand 2024: Application Development Green Masterplan

Miro Wengner

System Design Case Study: Building a Scalable E-Commerce Platform - Hiike

Hiike

Freshworks Rethinks NoSQL for Rapid Scaling & Cost-Efficiency

ScyllaDB

Recently uploaded (20)

Presentation of the OECD Artificial Intelligence Review of Germany

AWS Cloud Cost Optimization Presentation.pptx

Deep Dive: AI-Powered Marketing to Get More Leads and Customers with HyperGro...

GraphRAG for Life Science to increase LLM accuracy

Programming Foundation Models with DSPy - Meetup Slides

Dandelion Hashtable: beyond billion requests per second on a commodity server

5th LF Energy Power Grid Model Meet-up Slides

Public CyberSecurity Awareness Presentation 2024.pptx

A Comprehensive Guide to DeFi Development Services in 2024

leewayhertz.com-AI in predictive maintenance Use cases technologies benefits ...

SAP S/4 HANA sourcing and procurement to Public cloud

How to Interpret Trends in the Kalyan Rajdhani Mix Chart.pdf

Building Production Ready Search Pipelines with Spark and Milvus

Skybuffer SAM4U tool for SAP license adoption

zkStudyClub - LatticeFold: A Lattice-based Folding Scheme and its Application...

HCL Notes und Domino Lizenzkostenreduzierung in der Welt von DLAU

Nordic Marketo Engage User Group_June 13_ 2024.pptx

JavaLand 2024: Application Development Green Masterplan

System Design Case Study: Building a Scalable E-Commerce Platform - Hiike

Freshworks Rethinks NoSQL for Rapid Scaling & Cost-Efficiency

4 Best Practices to Achieve Operational Excellence Across Multiple Big Data Technologies

1. Confidential OPERATIONAL EXCELLENCEFORBIGDATAAPPS

2. Confidential2 TRUSTED by over 10,000 companies as their big data app platform BACKED by top Silicon Valley investors True Ventures, Rembrandt VP, Bain Capital FOUNDED in 2008, with headquarters in San Francisco

3. Confidential WHY NOW? 3 As Big Data applications become the engine driving innovation and new revenue models, they graduate to 1st class citizens demanding higher standards of quality, reliability, and manageability

4. Confidential PERFORMANCE MANAGEMENT FOR BIG DATA APPLICATIONS your big data apps MONITOR to resolve issues faster big data apps more effectively MANAGECOLLABORATE

5. Confidential5 Heterogeneous Application Environments Cluster Performance Monitoring Application Performance Monitor Production Hadoop Environments Contain a Variety of Application Technologies CHALLENGES

6. Confidential6 Application Performance MonitorCluster Performance MonitoringHeterogeneous Application Environments Cluster Monitoring Products Do Not Provide Application Insight CHALLENGES

7. Confidential7 Cluster Performance Monitoring Application Performance MonitorHeterogeneous Application Environments Existing Tools Offer Limited Value for Monitoring Application Performance Leaving us blind to business context, priority, ownership and performance of our data applications CHALLENGES

8. Confidential8 Enterprise Scale Monitoring and Management for Big Data Apps Business& OperationalContext Data& TechnologyConnecting Business and Data PERFORMANCEMONITORING&VISIBILITY

9. Confidential ACHIEVINGOPERATIONALEXCELLENCE 9 Balancing a fully operational data processing cluster and customer demands is challenging. Performance monitoring and visibility for big data applications • See everything in one place with a single view of all data applications real-time performance metrics across the entire enterprise Instantly understand the business context of a problem • Knowing you have a problem is one thing but understanding the end to end & downstream dependencies, the quality and service guarantees, who is impacted, the owner(s) and the business criticality of the failure is game changing Easily collaborate across teams to resolve issues faster • Multi-tenant architectures are inherently chaotic. Accelerate issue resolution by delivering the right information to the appropriate individuals and teams so everyone is informed and can work together to resolution Manage the business of big data • Get the operational visibility and controls you need to effectively manage priorities, policies, capacity, compliance and utilization. 1 3 2 4

10. Confidential ACHIEVINGOPERATIONALEXCELLENCE 10 2 1 3 4 Performance monitoring and visibility for big data apps • A single integrated view of your data applications and real-time performance metrics across your entire environment Instantly understand the business context of a problem • Knowing you have a problem is one thing but understanding the end to end & downstream dependencies, the quality and service guarantees, who is impacted, the owner(s) and the business criticality of the failure is game changing Easily collaborate across teams to resolve issues faster • Multi-tenant architectures are inherently chaotic. Accelerate issue resolution by delivering the right information to the appropriate individuals and teams so everyone is informed and can work together to resolution Manage the business of big data • Get the operational visibility and controls you need to effectively manage priorities, policies, capacity, compliance and utilization. Balancing a fully operational data processing cluster and customer demands is challenging.

11. Confidential ACHIEVINGOPERATIONALEXCELLENCE 11 3 1 2 4 Performance monitoring and visibility for big data apps • A single integrated view of your data applications and real-time performance metrics across your entire environment Instantly understand the business context of a problem • Knowing you have a problem is one thing but understanding the end to end & downstream dependencies, the quality and service guarantees, who is impacted, the owner(s) and the business criticality of the failure is game changing Easily collaborate across teams to resolve issues faster • Multi-tenant architectures are inherently chaotic. Accelerate issue resolution by delivering the right information to the appropriate individuals and teams so everyone is informed and can work together to resolution Manage the business of big data • Get the operational visibility and controls you need to effectively manage priorities, policies, capacity, compliance and utilization. Balancing a fully operational data processing cluster and customer demands is challenging.

12. Confidential ACHIEVINGOPERATIONALEXCELLENCE 12 4 3 2 1 Performance monitoring and visibility for big data apps • A single integrated view of your data applications and real-time performance metrics across your entire environment Instantly understand the business context of a problem • Knowing you have a problem is one thing but understanding the end to end & downstream dependencies, the quality and service guarantees, who is impacted, the owner(s) and the business criticality of the failure is game changing Easily collaborate across teams to resolve issues faster • Multi-tenant architectures are inherently chaotic. Accelerate issue resolution by delivering the right information to the appropriate individuals and teams so everyone is informed and can work together to resolution Manage the business of big data • Get the operational visibility and controls you need to effectively manage priorities, policies, capacity, compliance and utilization. Balancing a fully operational data processing cluster and customer demands is challenging.

13. Confidential NURTUREA CULTUREOFOPERATIONALEXCELLENCE 13 Ensure that business, development, IT operations can collaborate seamlessly when it matters

14. ConfidentialConfidential THANKYOU

15. Confidential Go to our website: www.driven.io TO LEARN MORE

16. ConfidentialConfidential16 APPENDIX

17. Confidential End-to-end operational telemetry metadata for big data applications Accessible via Web browser, command-line interface (CLI), or simple search queries Easy integrations through JMX and upcoming Driven SDK SCALABLE,SEARCHABLE METADATA STORE 17 Telemetry metadata (SSL) YARN HADOOP APPS AND INFRASTRUCTURE APPLICATIONS Plugin HADOOP CLUSTERS WARfiles Web App Server Server Web CLI JMX Web App Server SCALE OUT SCALE OUT

4 Best Practices to Achieve Operational Excellence Across Multiple Big Data Technologies

Recommended

Recommended

More Related Content

What's hot

What's hot (20)

Viewers also liked

Viewers also liked (18)

Similar to 4 Best Practices to Achieve Operational Excellence Across Multiple Big Data Technologies

Similar to 4 Best Practices to Achieve Operational Excellence Across Multiple Big Data Technologies (20)

Recently uploaded

Recently uploaded (20)

4 Best Practices to Achieve Operational Excellence Across Multiple Big Data Technologies