Welcome!

Recurring Revenue Authors: Liz McMillan, Yeshim Deniz, Carmen Gonzalez, Elizabeth White, Pat Romanski

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
SYS-CON Events announced today that Enroute Lab 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. Enroute Lab is an industrial design, research and development company of unmanned robotic vehicle system. For more information, please visit http://elab.co.jp/.
SYS-CON Events announced today that Mobile Create USA 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. Mobile Create USA Inc. is an MVNO-based business model that uses portable communication devices and cellular-based infrastructure in the development, sales, operation and mobile communications systems incorporating GPS capabi...
SYS-CON Events announced today that Suzuki 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. Suzuki Inc. is a semiconductor-related business, including sales of consuming parts, parts repair, and maintenance for semiconductor manufacturing machines, etc. It is also a health care business providing experimental research for...
Real IoT production deployments running at scale are collecting sensor data from hundreds / thousands / millions of devices. The goal is to take business-critical actions on the real-time data and find insights from stored datasets. In his session at @ThingsExpo, John Walicki, Watson IoT Developer Advocate at IBM Cloud, will provide a fast-paced developer journey that follows the IoT sensor data from generation, to edge gateway, to edge analytics, to encryption, to the IBM Bluemix cloud, to Wa...
SYS-CON Events announced today that Massive Networks, that helps your business operate seamlessly with fast, reliable, and secure internet and network solutions, has been named "Exhibitor" of 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. As a premier telecommunications provider, Massive Networks is headquartered out of Louisville, Colorado. With years of experience under their belt, their team of...
SYS-CON Events announced today that Nihon Micron 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. Nihon Micron Co., Ltd. strives for technological innovation to establish high-density, high-precision processing technology for providing printed circuit board and metal mount RFID tags used for communication devices. For more inf...
SYS-CON Events announced today that mruby Forum 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. mruby is the lightweight implementation of the Ruby language. We introduce mruby and the mruby IoT framework that enhances development productivity. For more information, visit http://forum.mruby.org/.
In his session at @ThingsExpo, Greg Gorman is the Director, IoT Developer Ecosystem, Watson IoT, will provide a short tutorial on Node-RED, a Node.js-based programming tool for wiring together hardware devices, APIs and online services in new and interesting ways. It provides a browser-based editor that makes it easy to wire together flows using a wide range of nodes in the palette that can be deployed to its runtime in a single-click. There is a large library of contributed nodes that help so...
SYS-CON Events announced today that Ryobi Systems 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. Ryobi Systems Co., Ltd., as an information service company, specialized in business support for local governments and medical industry. We are challenging to achive the precision farming with AI. For more information, visit http:...
SYS-CON Events announced today that SIGMA Corporation 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. uLaser flow inspection device from the Japanese top share to Global Standard! Then, make the best use of data to flip to next page. For more information, visit http://www.sigma-k.co.jp/en/.
SYS-CON Events announced today that Daiya Industry 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. Daiya Industry specializes in orthotic support systems and assistive devices with pneumatic artificial muscles in order to contribute to an extended healthy life expectancy. For more information, please visit https://www.daiyak...
SYS-CON Events announced today that B2Cloud 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. B2Cloud specializes in IoT devices for preventive and predictive maintenance in any kind of equipment retrieving data like Energy consumption, working time, temperature, humidity, pressure, etc.
SYS-CON Events announced today that NetApp has been named “Bronze Sponsor” of 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. NetApp is the data authority for hybrid cloud. NetApp provides a full range of hybrid cloud data services that simplify management of applications and data across cloud and on-premises environments to accelerate digital transformation. Together with their partners, NetApp em...
What is the best strategy for selecting the right offshore company for your business? In his session at 21st Cloud Expo, Alan Winters, U.S. Head of Business Development at MobiDev, will discuss the things to look for - positive and negative - in evaluating your options. He will also discuss how to maximize productivity with your offshore developers. Before you start your search, clearly understand your business needs and how that impacts software choices.
SYS-CON Events announced today that Interface Corporation 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. Interface Corporation is a company developing, manufacturing and marketing high quality and wide variety of industrial computers and interface modules such as PCIs and PCI express. For more information, visit http://www.i...
SYS-CON Events announced today that Keisoku Research Consultant Co. 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. Keisoku Research Consultant, Co. offers research and consulting in a wide range of civil engineering-related fields from information construction to preservation of cultural properties. For more information, vi...
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 Fusic 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. Fusic Co. provides mocks as virtual IoT devices. You can customize mocks, and get any amount of data at any time in your test. For more information, visit https://fusic.co.jp/english/.
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...
Mobile device usage has increased exponentially during the past several years, as consumers rely on handhelds for everything from news and weather to banking and purchases. What can we expect in the next few years? The way in which we interact with our devices will fundamentally change, as businesses leverage Artificial Intelligence. We already see this taking shape as businesses leverage AI for cost savings and customer responsiveness. This trend will continue, as AI is used for more sophistica...