Welcome!

Java IoT Authors: Liz McMillan, Elizabeth White, Pat Romanski, Yeshim Deniz, Frank Lupo

Related Topics: @BigDataExpo, Java IoT, @CloudExpo

@BigDataExpo: Article

Data Lake Plumbers | @BigDataExpo @Schmarzo #BigData #IoT #AI #ML #DL

The data lake is ideal for your data science team as it liberates them from the constraints & limitations of the data warehouse

Many of my blogs promote the business benefits of the data lake, both from a “save me more money” as well as the “make me more money” perspectives. But I fear that I’m making this thing called the data lake sound like a “silver bullet" [1] – just drop the data into the data lake and everything magically works. But much like in the world of data warehousing, there is significant work that needs to be done under the covers – in areas such as metadata management, data governance and security – to ensure that the data lake will perform for a business in a production environment. Many of the processes and techniques we learned in the data warehouse will benefit us here, though there are many new tools to be aware of that can help us in the operationalization task.

I’ve asked an industry expert in metadata management and data governance, Joe DosSantos (follow Joe on twitter: @JoeDosSantos) to co-author this blog with me. Well, to be honest, this mostly reflects Joe’s experience and thinking; I just wanted to get credit for being smart enough to know when to bring someone smarter than me into the conversation!

Data Lake Benefits
You know from previous blogs that there are many benefits to the data lake including:

  • Capture data from wide range of traditional (operational, transactional) and new sources (structured and unstructured) as-is
  • Store all your data in one environment for cross-functional business analysis
  • Support the analytics and data science to uncover new customer, product, and operational insights
  • Empower front-line employees and managers, and drive a more profitable customer engagement leveraging customer, product and operational insights
  • Integrate analytic insights into operational (Finance, Manufacturing, Marketing, Sales Force, Procurement, Logistics) and management systems (Business Intelligence reports and dashboards)

The data lake is ideal for your data science team in that it liberates them from the constraints and limitations of the data warehouse, enabling the data science team to quickly ingest, test and determine if there is any value to different data sets and analytic techniques without having to go through the rigorous operational procedures that govern the data warehouse.

However, this liberty can be quite terrifying in highly regulated environments. Companies have spent years developing governance and stewardship organizations specifically to control patient information, personal contact information, account balances, and other sensitive information. The description above seems to undo all of this work by creating free and easy access to data that should be locked down.

This is why the controls of a data lake need to be very clear. Data that is onboarded into a lake must go through a rigorous set of operational procedures to manage and govern that data set to make sure that it is appropriately tagged and protected, and then provisioned only to people who have the proper authorization. Modern data tools allow for this kind of governance capability to balance the quick and easy access to data that a data scientist needs with the security that good practices (and often the government) demand.

Operationalizing the Data Lake
Operationalizing the data lake requires several non-obvious disciplines, many of which we learned from our data warehouse experiences. These disciplines include data ingestion, indexing, cataloging, metadata management, data governance and security [2].

  1. As with a data warehouse, you will need a method to bring data into your environment. As batch windows became longer and longer in the data warehouse world and business users clamored for increasingly up-to-date information, practitioners began shifting from conventional data ETL (Extract, Transform, Load) to lower latency streaming and micro-batch. This trend was extended in the big data universe with tools like Kafka, a streaming message bus, and with Spring and Sqoop to accelerate data ingest. In the big data world, you might also want to ingest unstructured data sets as well, introducing new tools like Flume. Finally, you may want to trigger complex events based on this data stream and you might do so via Spark, Gemfire, or other in-memory grids. And just to make it more complex, you will likely use several of these tools in combination depending on your data feed needs. Keep in mind that in the world of ELT (Extract, Load, Transform) (note that the order differs from E-T-L), most of these data movements are data dumps. At this point, you have simply collected lots of raw data. It’s now time to make sense of it.
  2. Next, it is useful to tag files that you have ingested. What kind of file is this? What would be useful to know about it so that I could search for it later? Zaloni Bedrock is an example of a tool to apply metadata tags to the files, which is useful for both structured and unstructured data sets.
  3. We mentioned above that one of the key requirements of our data lake is having control over who can have access to specific data sources. Generally speaking, the data loaded in steps 1 and 2 is what we call “Bronze” data, meaning that it is good enough for the business process that created it. Data in these sets will likely be sensitive and your security should reflect it. However, we need to determine rules for how the data should be modified, obfuscated, or deleted in order to make it consumable for broader audience, or what we might call “Silver” status. You need to create business rules to manage data (e.g. birthdays should be masked and social security numbers should be stored as only the last 4). Collibra is an example of a tool for this rules definition and management. It allows data rules to be set up based on logical business entities by business people rather than technologists.
  4. For those people who are familiar with governance concepts, you will recognize the difference between a policy and a control. A policy is like a speed limit sign along the highway. The control is the police officer that pulls you over if you are driving over that speed limit. Data works the same way. While Collibra establishes the policy, you need to create a method for enforcing that policy. To do this, you need to find the logical entities buried in the data (i.e. “oh look, I found a social security number!”). Examples of such products include Global IDs for scanning structured data sets with the operational systems and Waterline for scanning data inside of Hadoop.
  5. Once you have found the data that you want, you want to implement the rules. For this, there is an open source tool called Atlas that contains an orchestration capability called Falcon that helps implement the rules.
    1. Apache Atlas is a scalable and extensible set of core foundational governance services that enables enterprises to effectively and efficiently meet their compliance requirements within Hadoop and allows integration with the complete enterprise data ecosystem.
    2. Apache Falcon is a data governance engine that defines, schedules, and monitors data management policies. Falcon allows Hadoop administrators to centrally define their data pipelines, and then Falcon uses those definitions to auto-generate workflows in Apache Oozie
  6. Now that the data is loaded, you will want to enforce security through your LDAP capability or possibly through Kerberos. There are also tools like Blue Talon that simplify the ability to authorize, provision, protect, enforce and audit data security policies across your data lake.
  7. Finally, audit controls are critical. Cloudera introduced Navigator specifically to allow simple transparency to data history and lineage. Hortonworks will rely on Atlas to provide this capability.

Data that has gone through the above processes creates a view and accessibility of the data that can be made available to a wide set of users – both business analysts and data science teams.

Summary
When you build a house, the vast majority of the creative work is in the features and curbside appeal. That’s the fun part. But without the underlying plumbing, the house would quickly degrade into a money pit.

Consider the metaphor of a retail store: stocking the shelves vs. purchasing goods. When you go to the store, you don’t care about how the goods got there, but the rules for accessing the goods are everywhere. Cigarettes are behind the front desk. Pharmaceuticals must be dispensed with a prescription. Razor blades are under lock and key (for some strange reason). There are policies and enforcements on stocking the shelves so that the shopping experience is clear and easy.

To successfully operationalize the data lake, organizations need to address all of the plumbing requirements outlined in this blog that enable the business users and data science teams to have confidence in the wealth of data that the organization is amassing. The data lake plumbing processes may not be very glamorous, but without them, you’ll end up with a stinky data dump instead of a glorious data lake.

References:

  1. A “silver bullet” is a simple and seemingly magical solution to a complicated problem.
  2. While I mention several tools, this blog is not meant to be an endorsement of these tools nor is this intended to be a comprehensive list of such tools. However, many of these tools are the same tools that we use in our data lake implementations at EMC.

Data Lake Plumbers: Operationalizing the Data Lake
Bill Schmarzo

More Stories By William Schmarzo

Bill Schmarzo, author of “Big Data: Understanding How Data Powers Big Business”, is responsible for setting the strategy and defining the Big Data service line offerings and capabilities for the EMC Global Services organization. As part of Bill’s CTO charter, he is responsible for working with organizations to help them identify where and how to start their big data journeys. He’s written several white papers, avid blogger and is a frequent speaker on the use of Big Data and advanced analytics to power organization’s key business initiatives. He also teaches the “Big Data MBA” at the University of San Francisco School of Management.

Bill has nearly three decades of experience in data warehousing, BI and analytics. Bill authored EMC’s Vision Workshop methodology that links an organization’s strategic business initiatives with their supporting data and analytic requirements, and co-authored with Ralph Kimball a series of articles on analytic applications. Bill has served on The Data Warehouse Institute’s faculty as the head of the analytic applications curriculum.

Previously, Bill was the Vice President of Advertiser Analytics at Yahoo and the Vice President of Analytic Applications at Business Objects.

@ThingsExpo Stories
As businesses evolve, they need technology that is simple to help them succeed today and flexible enough to help them build for tomorrow. Chrome is fit for the workplace of the future — providing a secure, consistent user experience across a range of devices that can be used anywhere. In her session at 21st Cloud Expo, Vidya Nagarajan, a Senior Product Manager at Google, will take a look at various options as to how ChromeOS can be leveraged to interact with people on the devices, and formats th...
SYS-CON Events announced today that Yuasa System will exhibit at the Japan External Trade Organization (JETRO) Pavilion at SYS-CON's 21st International Cloud Expo®, which will take place on Oct 31 – Nov 2, 2017, at the Santa Clara Convention Center in Santa Clara, CA. Yuasa System is introducing a multi-purpose endurance testing system for flexible displays, OLED devices, flexible substrates, flat cables, and films in smartphones, wearables, automobiles, and healthcare.
Organizations do not need a Big Data strategy; they need a business strategy that incorporates Big Data. Most organizations lack a road map for using Big Data to optimize key business processes, deliver a differentiated customer experience, or uncover new business opportunities. They do not understand what’s possible with respect to integrating Big Data into the business model.
Enterprises have taken advantage of IoT to achieve important revenue and cost advantages. What is less apparent is how incumbent enterprises operating at scale have, following success with IoT, built analytic, operations management and software development capabilities – ranging from autonomous vehicles to manageable robotics installations. They have embraced these capabilities as if they were Silicon Valley startups. As a result, many firms employ new business models that place enormous impor...
SYS-CON Events announced today that Taica will exhibit at the Japan External Trade Organization (JETRO) Pavilion at SYS-CON's 21st International Cloud Expo®, which will take place on Oct 31 – Nov 2, 2017, at the Santa Clara Convention Center in Santa Clara, CA. Taica manufacturers Alpha-GEL brand silicone components and materials, which maintain outstanding performance over a wide temperature range -40C to +200C. For more information, visit http://www.taica.co.jp/english/.
SYS-CON Events announced today that Dasher Technologies will exhibit at SYS-CON's 21st International Cloud Expo®, which will take place on Oct 31 - Nov 2, 2017, at the Santa Clara Convention Center in Santa Clara, CA. Dasher Technologies, Inc. ® is a premier IT solution provider that delivers expert technical resources along with trusted account executives to architect and deliver complete IT solutions and services to help our clients execute their goals, plans and objectives. Since 1999, we'v...
Recently, REAN Cloud built a digital concierge for a North Carolina hospital that had observed that most patient call button questions were repetitive. In addition, the paper-based process used to measure patient health metrics was laborious, not in real-time and sometimes error-prone. In their session at 21st Cloud Expo, Sean Finnerty, Executive Director, Practice Lead, Health Care & Life Science at REAN Cloud, and Dr. S.P.T. Krishnan, Principal Architect at REAN Cloud, will discuss how they b...
SYS-CON Events announced today that MIRAI Inc. will exhibit at the Japan External Trade Organization (JETRO) Pavilion at SYS-CON's 21st International Cloud Expo®, which will take place on Oct 31 – Nov 2, 2017, at the Santa Clara Convention Center in Santa Clara, CA. MIRAI Inc. are IT consultants from the public sector whose mission is to solve social issues by technology and innovation and to create a meaningful future for people.
SYS-CON Events announced today that TidalScale, a leading provider of systems and services, will exhibit at SYS-CON's 21st International Cloud Expo®, which will take place on Oct 31 - Nov 2, 2017, at the Santa Clara Convention Center in Santa Clara, CA. TidalScale has been involved in shaping the computing landscape. They've designed, developed and deployed some of the most important and successful systems and services in the history of the computing industry - internet, Ethernet, operating s...
SYS-CON Events announced today that IBM has been named “Diamond Sponsor” of SYS-CON's 21st Cloud Expo, which will take place on October 31 through November 2nd 2017 at the Santa Clara Convention Center in Santa Clara, California.
Join IBM November 1 at 21st Cloud Expo at the Santa Clara Convention Center in Santa Clara, CA, and learn how IBM Watson can bring cognitive services and AI to intelligent, unmanned systems. Cognitive analysis impacts today’s systems with unparalleled ability that were previously available only to manned, back-end operations. Thanks to cloud processing, IBM Watson can bring cognitive services and AI to intelligent, unmanned systems. Imagine a robot vacuum that becomes your personal assistant tha...
SYS-CON Events announced today that TidalScale will exhibit at SYS-CON's 21st International Cloud Expo®, which will take place on Oct 31 – Nov 2, 2017, at the Santa Clara Convention Center in Santa Clara, CA. TidalScale is the leading provider of Software-Defined Servers that bring flexibility to modern data centers by right-sizing servers on the fly to fit any data set or workload. TidalScale’s award-winning inverse hypervisor technology combines multiple commodity servers (including their ass...
As hybrid cloud becomes the de-facto standard mode of operation for most enterprises, new challenges arise on how to efficiently and economically share data across environments. In his session at 21st Cloud Expo, Dr. Allon Cohen, VP of Product at Elastifile, will explore new techniques and best practices that help enterprise IT benefit from the advantages of hybrid cloud environments by enabling data availability for both legacy enterprise and cloud-native mission critical applications. By rev...
Infoblox delivers Actionable Network Intelligence to enterprise, government, and service provider customers around the world. They are the industry leader in DNS, DHCP, and IP address management, the category known as DDI. We empower thousands of organizations to control and secure their networks from the core-enabling them to increase efficiency and visibility, improve customer service, and meet compliance requirements.
With major technology companies and startups seriously embracing Cloud strategies, now is the perfect time to attend 21st Cloud Expo October 31 - November 2, 2017, at the Santa Clara Convention Center, CA, and June 12-14, 2018, at the Javits Center in New York City, NY, and learn what is going on, contribute to the discussions, and ensure that your enterprise is on the right path to Digital Transformation.
Amazon is pursuing new markets and disrupting industries at an incredible pace. Almost every industry seems to be in its crosshairs. Companies and industries that once thought they were safe are now worried about being “Amazoned.”. The new watch word should be “Be afraid. Be very afraid.” In his session 21st Cloud Expo, Chris Kocher, a co-founder of Grey Heron, will address questions such as: What new areas is Amazon disrupting? How are they doing this? Where are they likely to go? What are th...
SYS-CON Events announced today that N3N will exhibit at SYS-CON's @ThingsExpo, which will take place on Oct 31 – Nov 2, 2017, at the Santa Clara Convention Center in Santa Clara, CA. N3N’s solutions increase the effectiveness of operations and control centers, increase the value of IoT investments, and facilitate real-time operational decision making. N3N enables operations teams with a four dimensional digital “big board” that consolidates real-time live video feeds alongside IoT sensor data a...
In his Opening Keynote at 21st Cloud Expo, John Considine, General Manager of IBM Cloud Infrastructure, will lead you through the exciting evolution of the cloud. He'll look at this major disruption from the perspective of technology, business models, and what this means for enterprises of all sizes. John Considine is General Manager of Cloud Infrastructure Services at IBM. In that role he is responsible for leading IBM’s public cloud infrastructure including strategy, development, and offering ...
Digital transformation is changing the face of business. The IDC predicts that enterprises will commit to a massive new scale of digital transformation, to stake out leadership positions in the "digital transformation economy." Accordingly, attendees at the upcoming Cloud Expo | @ThingsExpo at the Santa Clara Convention Center in Santa Clara, CA, Oct 31-Nov 2, will find fresh new content in a new track called Enterprise Cloud & Digital Transformation.
Smart cities have the potential to change our lives at so many levels for citizens: less pollution, reduced parking obstacles, better health, education and more energy savings. Real-time data streaming and the Internet of Things (IoT) possess the power to turn this vision into a reality. However, most organizations today are building their data infrastructure to focus solely on addressing immediate business needs vs. a platform capable of quickly adapting emerging technologies to address future ...